{"id":165018,"date":"2019-04-27T22:16:00","date_gmt":"2019-04-27T22:16:00","guid":{"rendered":"https:\/\/beta.healthit.gov\/dashboard_library\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\/"},"modified":"2025-11-18T13:03:49","modified_gmt":"2025-11-18T18:03:49","slug":"electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers","status":"publish","type":"data-brief","link":"https:\/\/healthit.gov\/data\/data-briefs\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\/","title":{"rendered":"Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">In 2010, the United States Drug Enforcement Administration (DEA) revised its regulations to allow pharmacies, hospitals, and health care providers to use electronic prescribing of controlled substances (EPCS) technology in all 50 states (1). The use of EPCS technology can help health care providers integrate prescription information into electronic health records (EHRs) more directly, while improving patient safety and reducing diversion and fraud. In October 2018, Congress passed the Substance Use-Disorder Prevention that Promotes Opioid Recovery and Treatment (SUPPORT) for Patients and Communities Act to address the opioids crisis. The SUPPORT for Patients and Communities Act includes a provision requiring prescriptions for controlled substances covered by Medicare Part D to be transmitted electronically starting in 2021 (2). This data brief explores the use of EPCS among Medicare Part D providers on the Surescripts Network from 2015 to 2016. We also present variation in EPCS use and the number of opioid claims prescribed by prescriber specialty and state.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-highlights\">Highlights<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The proportion of Part D prescribers who used EPCS increased by nearly three-fold between 2015 and 2016.<\/li>\n\n\n\n<li>Part D prescribers with more than 100 opioid claims are twice as likely to use EPCS compared to prescribers that did not have any opioid claims.<\/li>\n\n\n\n<li>Pain management specialists have the highest proportion of Part D prescribers using EPCS.<\/li>\n\n\n\n<li>In 2016, 18 states had less than five percent of Part D prescribers use EPCS.<\/li>\n\n\n\n<li>States with a higher proportion of Part D prescribers using EPCS tend to have lower average number of opioid claims per prescriber.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-the-proportion-of-part-d-prescribers-who-used-epcs-increased-by-nearly-three-fold-between-2015-and-2016\">The proportion of Part D prescribers who used EPCS increased by nearly three-fold between 2015 and 2016.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Figure 1: <\/strong>Percent of Medicare Part D Prescribers who use EPCS on the Surescripts Network, 2015-2016.<\/p>\n\n\n\n\n\n<ul class=\"wp-block-list list-blue-star\">\n<li>About one in 10 Part D prescribers used EPCS in 2016.<\/li>\n\n\n\n<li>In 2015 and 2016, Part D opioid prescribers used EPCS at similar rates to all Part D prescribers.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-part-d-prescribers-with-more-than-100-opioid-claims-are-twice-as-likely-to-use-epcs-compared-to-prescribers-that-did-not-have-any-opioid-claims\">Part D prescribers with more than 100 opioid claims are twice as likely to use EPCS compared to prescribers that did not have any opioid claims.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Table 1: <\/strong>Percent of all Part D prescribers and Part D prescribers that use EPCS by number of opioids claims prescribed through the Medicare Part D Program, 2016.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"col\">Number of Part D Opioid Claims Per Prescriber<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">Percent of Part D Prescribers<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">Percent of Part D Prescribers using EPCS<\/th><\/tr><\/thead><tbody><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">0<\/th><td class=\"has-text-align-center\" data-align=\"center\">28%<\/td><td class=\"has-text-align-center\" data-align=\"center\">7%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">1 to 10<\/th><td class=\"has-text-align-center\" data-align=\"center\">28%<\/td><td class=\"has-text-align-center\" data-align=\"center\">11%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">11 to 99<\/th><td class=\"has-text-align-center\" data-align=\"center\">30%<\/td><td class=\"has-text-align-center\" data-align=\"center\">12%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">100 to 199<\/th><td class=\"has-text-align-center\" data-align=\"center\">6%<\/td><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">200 to 299<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">300 to 499<\/th><td class=\"has-text-align-center\" data-align=\"center\">2%<\/td><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">500 to 999<\/th><td class=\"has-text-align-center\" data-align=\"center\">2%<\/td><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">1000 +<\/th><td class=\"has-text-align-center\" data-align=\"center\">1%<\/td><td class=\"has-text-align-center\" data-align=\"center\">16%<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">Source: Medicare Part D Data, 2016; Surescripts Network Data.<br>Note: An EPCS prescriber is defined as a Part D prescriber who sent at least one EPCS transaction on the Surescripts Network in a given year. Prescribers with zero Part D opioid claims may still use EPCS technology to prescribe other controlled substances or to prescribe opioids to non-Medicare beneficiaries. This is evident by the seven percent of Part D prescribers who used EPCS but did not have any Part D opioid claims.\n\t<\/figcaption><\/figure>\n\n\n\n<ul class=\"wp-block-list list-blue-star\">\n<li>In 2016, about one-quarter of Part D prescribers (28 percent) did not have any Part D opioid claims \u2013 less than one in 10 of these providers used EPCS.<\/li>\n\n\n\n<li>In 2016, about one in seven Part D prescribers (14 percent) had more than 100 Part D opioid claims \u2013 about 15 percent of these providers used EPCS.<\/li>\n\n\n\n<li>Nearly six in 10 part D prescribers (56 percent) had 10 or fewer Part D opioid claims in 2016.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-the-number-of-part-d-opioid-claims-per-prescriber-decreased-between-2015-and-2016-regardless-of-epcs-use\">The number of Part D opioid claims per prescriber decreased between 2015 and 2016, regardless of EPCS use.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Figure 2: <\/strong>Average number of Part D opioid claims per Medicare Part D opioid prescriber by use of EPCS on the Surescripts Network, 2015-2016.<\/p>\n\n\n\n\n\n<ul class=\"wp-block-list list-blue-star\">\n<li>On average, EPCS prescribers had 180 Part D opioid claims per prescriber in 2016 \u2013 a six percent reduction from 2015.<\/li>\n\n\n\n<li>On average, non-EPCS prescribers had 152 Part D opioid claims per prescriber in 2016 \u2013 a less than three percent reduction from 2015.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-pain-management-specialists-had-the-largest-proportion-of-part-d-prescribers-using-epcs-as-well-as-the-highest-number-of-part-d-opioid-claims-per-prescriber\">Pain management specialists had the largest proportion of Part D prescribers using EPCS as well as the highest number of Part D opioid claims per prescriber.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Figure 3: <\/strong>Number of Part D opioid prescribers, total number of Part D opioid claims, number of Part D opioid claims per prescriber, and percent of prescribers using EPCS by specialty, 2016.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"539\" height=\"381\" src=\"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-36.png?w=539\" alt=\"This figure contains a bubble chart that shows variation in use of EPCS by specialty. The y-axis represents the percent of Part D prescribers using EPCS and the x-axis represents the number of Part D opioid claims per prescriber. The size of each bubble represents the total number of Part D opioid claims per specialty with larger bubbles representing a higher number opioid claims. The color of each bubble represents the total number of prescribers per specialty with darker shades of purple representing a higher number of prescribers. The specific data points for this figure are described in more detail in Appendix Table A1.\" class=\"wp-image-165015\" srcset=\"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-36.png 539w, https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-36.png?resize=300,212 300w, https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-36.png?resize=212,150 212w\" sizes=\"auto, (max-width: 539px) 100vw, 539px\" \/><figcaption class=\"wp-element-caption\">Source: Medicare Part D Data, 2016; Surescripts Network Data.<br>Note: The sample consists of Part D opioid prescribers who prescribed 11 or more Part D opioid claims in 2016. See Appendix Table A1 for the data from this graphic. Specialties were self- reported to CMS. See Appendix Table A2 for a full listing of the specialists defined in each group.<\/figcaption><\/figure>\n\n\n\n<ul class=\"wp-block-list list-blue-star\">\n<li>Specialties with the highest proportion of Part D opioid prescribers using EPCS include pain management, behavioral health, geriatric medicine, physician assistants, and physical medicine and rehabilitation.<\/li>\n\n\n\n<li>About one in six general\/family practitioners and internists who prescribed opioids used EPCS \u2013 these specialties represent a large number of providers and the highest total opioid claim count.<\/li>\n\n\n\n<li>Only 1 in 20 dentists who prescribed opioids in Part D used EPCS.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-in-2016-18-states-had-fewer-than-five-percent-of-its-part-d-prescribers-using-epcs\">In 2016, 18 states had fewer than five percent of its Part D prescribers using EPCS.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Figure 4: <\/strong>Percent of Part D prescribers who use EPCS on the Surescripts Network by state, 2016.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"539\" height=\"242\" src=\"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-37.png?w=539\" alt=\"This figure contains a map of the United States which shows the percent of Part D prescribers who use EPCS on the Surescripts Network for each state. Darker shades of blue represent a higher percent of Part D prescribers who use EPCS. The specific data points for this figure are described in more detail in Appendix Table A3.\" class=\"wp-image-165016\" srcset=\"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-37.png 539w, https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-37.png?resize=300,135 300w, https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-37.png?resize=334,150 334w\" sizes=\"auto, (max-width: 539px) 100vw, 539px\" \/><figcaption class=\"wp-element-caption\">Source: Medicare Part D Data, 2016; Surescripts Network Data.<\/figcaption><\/figure>\n\n\n\n<ul class=\"wp-block-list list-blue-star\">\n<li>New York, North Dakota, Nebraska, South Dakota and Rhode Island have the highest proportion of Part D prescribers who use EPCS.<\/li>\n\n\n\n<li>Alabama, Mississippi, Hawaii, Montana, and West Virginia have the lowest proportion of Part D prescribers who use EPCS.<\/li>\n\n\n\n<li>In 2016, Minnesota and New York were the only states with a mandatory EPCS requirement.<\/li>\n\n\n\n<li>In New York, more than six in 10 Part D prescribers used EPCS in 2016.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-states-with-a-higher-proportion-of-part-d-prescribers-using-epcs-also-had-a-lower-average-number-of-part-d-opioid-claims-per-prescriber\">States with a higher proportion of Part D prescribers using EPCS also had a lower average number of Part D opioid claims per prescriber.<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Figure 5: <\/strong>Percent of Part D prescribers who use EPCS on the Surescripts Network compared to average number of Part D opioid claims per prescriber by state, 2016.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"429\" height=\"400\" src=\"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-38.png?w=429\" alt=\"This figure contains a scatter plot which shows the percent of Part D prescribers who use EPCS on the Surescripts Network compared to the average number of Part D opioid claims per prescriber by state. Each state\u2019s abbreviation is plotted on the scatterplot. The y-axis represents the number of Part D opioid claims per prescriber and the x-axis represents the percent of Part D prescriber who use EPCS. A trend line was fitted to the data showing that as the percent of Part D prescribers using EPCS increases, the number of Part D opioid claims per physician decreases. The specific data points for this figure are described in more detail in Appendix Table A3.\" class=\"wp-image-165017\" srcset=\"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-38.png 429w, https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-38.png?resize=300,280 300w, https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-38.png?resize=161,150 161w\" sizes=\"auto, (max-width: 429px) 100vw, 429px\" \/><figcaption class=\"wp-element-caption\">Source: Medicare Part D Data, 2016; Surescripts Network Data.<br>Note: Due to clustering of the data, black lines in the graphic are intended to point the label to the exact location of the data point in the graph. See Appendix Table A3 for the data for this graphic. The fitted line is generated by a linear regression with a slope of -0.95 opioid claims per prescriber for each percent increase in EPCS use. When excluding the state of New York, the slope decreases to -1.36 opioid claims per prescriber for each percent increase in EPCS use.<\/figcaption><\/figure>\n\n\n\n<ul class=\"wp-block-list list-blue-star\">\n<li>New York had the highest proportion of Part D prescribers using EPCS (62%) and the second lowest average number of opioid claims per prescriber (31).<\/li>\n\n\n\n<li>Alabama had the lowest proportion of Part D prescribers using EPCS (2%) and the highest average number of opioid claims per prescriber (155).<\/li>\n\n\n\n<li>Washington D.C. had the lowest average number of opioid claims per prescriber (17) and one of the lowest proportions of Part D prescribers using EPCS (3%).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-summary\">Summary<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">EPCS has the potential to streamline prescriber workflow, improve medication safety, and enable efficient pain management for patients. Previous research has shown that nearly 90 percent of all non-controlled substances are delivered electronically (3)(4). However, few providers are using electronic methods to prescribe controlled substances. In 2016, only about one in 10 Medicare Part D prescribers used EPCS.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The number of Medicare prescribers using EPCS technology is growing. Between 2015 and 2016, the proportion of Medicare Part D prescribers using EPCS increased nearly three-fold. EPCS users prescribe higher volumes of opioids. In particular, among prescribers with more than 100 Part D opioid claims, the percent of EPCS prescribers was two times higher than providers with no Part D opioid claims. This may indicate that high volume opioid prescribers have a need for using EPCS.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">EPCS use varied by health care provider specialty. Pain management specialists had the highest rates of opioid prescriptions and use of EPCS. About one in six family practice and internal medicine prescribers used EPCS. These specialties accounted for the largest total number of Part D opioid claims and also represent specialties with a high number of prescribers. Other specialties with high rates of EPCS use include behavioral health, geriatric medicine, physician assistants, and physical medicine and rehabilitation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In light of recent EPCS state-level mandates, EPCS use also varied by state. In 2016, New York State implemented an EPCS mandate requiring providers to use EPCS when prescribing controlled substances (5). According to our analysis of 2016 data, New York had the highest rate of EPCS use in the country &#8211; 62 percent of Part D prescribers used EPCS in New York compared to the national average of 11 percent in 2016. Additional states, such as Maine and Connecticut, have recently implemented EPCS mandates and seen similar increases in EPCS use (3).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Our descriptive analysis also indicates significant association between the use of EPCS and rates of opioid prescribing among Part D prescribers. States with a high proportion of EPCS users tend to have fewer opioids claims per prescriber. While additional factors besides EPCS use may affect the prescription of opioids, these results highlight the importance of EPCS policies on managing opioid prescriptions. As the SUPPORT for Patients and Communities Act is implemented, we should expect to see an increase in the number of Part D prescribers using EPCS which will help health care providers integrate prescription information into EHRs, while improving patient safety and reducing diversion and fraud.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-definitions\">Definitions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>EPCS Prescriber:<\/strong> a Medicare Part D prescriber who sent at least one EPCS transaction on the Surescripts Network in a given year.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Opioid Prescriber: <\/strong>a provider who prescribed 11 or more Medicare Part D opioid claims.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-source-and-methods\">Data Source and Methods<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Data are from the Centers for Medicare &amp; Medicaid Services (CMS) Medicare Part D Prescriber Public Use File and the Surescripts Network for the years 2015 and 2016.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The CMS Medicare Part D Prescriber Public Use File presents prescriber-level data for more than one million health care providers that participate in the Medicare Part D program. The file includes information such as National Provider Identifier (NPI), state, provider specialty, drug name, and total claim count. We used the Surescripts Network to identify Part D prescribers who had delivered at least one EPCS transaction in 2015 and 2016.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Surescripts is the nation\u2019s largest health information network, built to increase patient safety, lower costs and ensure quality care. Surescripts connects virtually all electronic health records (EHRs), pharmacy benefit managers (PBMs), pharmacies and clinicians, plus an increasing number of health plans, long-term and post-acute care organizations and specialty pharmacy organizations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-references\">References<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">1. Interim Final Rule with Request for Comment: Electronic Prescriptions for Controlled Substances. <a href=\"https:\/\/www.deadiversion.usdoj.gov\/ecomm\/ecomm.html\" data-wpel-link=\"external\" target=\"_blank\" rel=\"external noopener noreferrer\" class=\"wpel-processed wpel-icon-right\">https:\/\/www.deadiversion.usdoj.gov\/ecomm\/ecomm.html<i class=\"wpel-icon fa fa-external-link\" aria-hidden=\"true\"><\/i><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2. Substance Use-Disorder Prevention that Promotes Opioid Recovery and Treatment (SUPPORT) for Patients and Communities Act, Section 2003. <a href=\"https:\/\/www.congress.gov\/bill\/115th-congress\/house-bill\/6\/text\" data-wpel-link=\"external\" target=\"_blank\" rel=\"external noopener noreferrer\" class=\"wpel-processed wpel-icon-right\">https:\/\/www.congress.gov\/bill\/115th-congress\/house-bill\/6\/text <i class=\"wpel-icon fa fa-external-link\" aria-hidden=\"true\"><\/i><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3. Surescripts 2017 National Progress Report. <a href=\"https:\/\/www.ehidc.org\/sites\/default\/files\/resources\/files\/Surscripts%202017%20report.pdf\" class=\"wpel-no-icon wpel-processed\" data-wpel-link=\"external\" target=\"_blank\" rel=\"external noopener noreferrer\">https:\/\/www.ehidc.org\/sites\/default\/files\/resources\/files\/Surscripts%202017%20report.pdf<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">4. Gabriel MH, Swain M. E-Prescribing Trends in the United States. ONC Data Brief, no.18. Washington, DC: Office of the National Coordinator for Health Information Technology, July 2014. 5. New York State Department of Health. Electronic Prescribing. <a href=\"https:\/\/www.health.ny.gov\/professionals\/narcotic\/electronic_prescribing\/\" data-wpel-link=\"external\" target=\"_blank\" rel=\"external noopener noreferrer\" class=\"wpel-processed wpel-icon-right\">https:\/\/www.health.ny.gov\/professionals\/narcotic\/electronic_prescribing\/<i class=\"wpel-icon fa fa-external-link\" aria-hidden=\"true\"><\/i><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-acknowledgements\">Acknowledgements<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The authors are with the Office of Technology, within the Office of the National Coordinator for Health Information Technology. The data brief was drafted under the direction of Chris Muir, Director of Standards &amp; Technology and Talisha Searcy, Branch Chief of the Data Analysis Branch.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The authors would also like to acknowledge Jaime Smith and Max Sow from Surescripts for their contributions in linking and analyzing the data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-suggested-citation\">Suggested Citation<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Johnson C., Barker W., Pylypchuk Y. &amp; Parasrampuria S. (April 2019). Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016, no. 44. Office of the National Coordinator for Health Information Technology: Washington DC.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-appendix\">Appendix<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Appendix Table A1: <\/strong>Percent of Part D opioid prescribers who use EPCS on the Surescripts Network by number of opioid claims per opioid prescriber, 2016.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"col\">Specialty<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">Part D Opioid Claim Count<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">Prescriber Count<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">Part D Opioid Claims per Prescriber<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">% of EPCS Prescribers<\/th><\/tr><\/thead><tbody><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">General\/Family Practice<\/th><td class=\"has-text-align-center\" data-align=\"center\">21,222,388<\/td><td class=\"has-text-align-center\" data-align=\"center\">90,076<\/td><td class=\"has-text-align-center\" data-align=\"center\">236<\/td><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Internal Medicine<\/th><td class=\"has-text-align-center\" data-align=\"center\">16,667,536<\/td><td class=\"has-text-align-center\" data-align=\"center\">80,822<\/td><td class=\"has-text-align-center\" data-align=\"center\">206<\/td><td class=\"has-text-align-center\" data-align=\"center\">16%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Advanced Practice Nurses<\/th><td class=\"has-text-align-center\" data-align=\"center\">7,816,135<\/td><td class=\"has-text-align-center\" data-align=\"center\">55,356<\/td><td class=\"has-text-align-center\" data-align=\"center\">141<\/td><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Other Medical Specialists<\/th><td class=\"has-text-align-center\" data-align=\"center\">7,555,089<\/td><td class=\"has-text-align-center\" data-align=\"center\">98,106<\/td><td class=\"has-text-align-center\" data-align=\"center\">77<\/td><td class=\"has-text-align-center\" data-align=\"center\">10%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Surgical Specialists<\/th><td class=\"has-text-align-center\" data-align=\"center\">7,487,765<\/td><td class=\"has-text-align-center\" data-align=\"center\">49,841<\/td><td class=\"has-text-align-center\" data-align=\"center\">150<\/td><td class=\"has-text-align-center\" data-align=\"center\">12%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Physician Assistant<\/th><td class=\"has-text-align-center\" data-align=\"center\">5,466,469<\/td><td class=\"has-text-align-center\" data-align=\"center\">46,305<\/td><td class=\"has-text-align-center\" data-align=\"center\">118<\/td><td class=\"has-text-align-center\" data-align=\"center\">17%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Pain Management<\/th><td class=\"has-text-align-center\" data-align=\"center\">4,879,442<\/td><td class=\"has-text-align-center\" data-align=\"center\">3,618<\/td><td class=\"has-text-align-center\" data-align=\"center\">1,349<\/td><td class=\"has-text-align-center\" data-align=\"center\">21%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Physical Medicine and Rehabilitation<\/th><td class=\"has-text-align-center\" data-align=\"center\">3,186,552<\/td><td class=\"has-text-align-center\" data-align=\"center\">6,187<\/td><td class=\"has-text-align-center\" data-align=\"center\">515<\/td><td class=\"has-text-align-center\" data-align=\"center\">17%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Dental<\/th><td class=\"has-text-align-center\" data-align=\"center\">1,545,308<\/td><td class=\"has-text-align-center\" data-align=\"center\">40,269<\/td><td class=\"has-text-align-center\" data-align=\"center\">38<\/td><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Oncology<\/th><td class=\"has-text-align-center\" data-align=\"center\">1,193,453<\/td><td class=\"has-text-align-center\" data-align=\"center\">13,031<\/td><td class=\"has-text-align-center\" data-align=\"center\">92<\/td><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Geriatric Medicine<\/th><td class=\"has-text-align-center\" data-align=\"center\">589,128<\/td><td class=\"has-text-align-center\" data-align=\"center\">2,577<\/td><td class=\"has-text-align-center\" data-align=\"center\">229<\/td><td class=\"has-text-align-center\" data-align=\"center\">18%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Other Medical Professionals<\/th><td class=\"has-text-align-center\" data-align=\"center\">326,685<\/td><td class=\"has-text-align-center\" data-align=\"center\">11,220<\/td><td class=\"has-text-align-center\" data-align=\"center\">29<\/td><td class=\"has-text-align-center\" data-align=\"center\">14%<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Behavioral Health<\/th><td class=\"has-text-align-center\" data-align=\"center\">209,355<\/td><td class=\"has-text-align-center\" data-align=\"center\">3,027<\/td><td class=\"has-text-align-center\" data-align=\"center\">69<\/td><td class=\"has-text-align-center\" data-align=\"center\">20%<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">Source: Medicare Part D Data, 2016; Surescripts Network Data. Note: The sample consists of Part D opioid prescribers who prescribed 11 or more Part D opioid claims in 2016. Specialties were self-reported to CMS and aggregated by ONC. See Appendix Table A2 for a full listing of the specialists defined in each group.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"padding-top:var(--wp--preset--spacing--60)\"><strong>Appendix Table A2:<\/strong> Examples of occupations reported under the defined specialty groupings.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"col\">Specialty Grouping<\/th><th class=\"has-text-align-left\" data-align=\"left\" scope=\"col\">Reported Occupation<\/th><\/tr><\/thead><tbody><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Advanced Practice Nurses<\/th><td class=\"has-text-align-left\" data-align=\"left\">Nurse Practitioner, Registered Nurse, Certified Registered Nurse Anesthetist<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Behavioral Health<\/th><td class=\"has-text-align-left\" data-align=\"left\">Psychiatry, Neuropsychiatry, Addiction Medicine<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Dental<\/th><td class=\"has-text-align-left\" data-align=\"left\">Dentist, Oral Surgeon<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">General\/Family Practice<\/th><td class=\"has-text-align-left\" data-align=\"left\">General Practice, Family Practice, Pediatric Medicine<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Geriatric Medicine<\/th><td class=\"has-text-align-left\" data-align=\"left\">Geriatric Medicine<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Internal Medicine<\/th><td class=\"has-text-align-left\" data-align=\"left\">Internal Medicine, General Acute Hospital<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Oncology<\/th><td class=\"has-text-align-left\" data-align=\"left\">Hematology, Medical Oncology, Radiation Oncology<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Other Medical Professionals<\/th><td class=\"has-text-align-left\" data-align=\"left\">Pharmacist, Medical Student<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Other Medical Specialists<\/th><td class=\"has-text-align-left\" data-align=\"left\">Emergency Medicine, Rheumatology, Neurology, Urology, Podiatry<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Pain Management<\/th><td class=\"has-text-align-left\" data-align=\"left\">Pain Management, Intervention Pain Management<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Physical Medicine and Rehabilitation<\/th><td class=\"has-text-align-left\" data-align=\"left\">Physical Medicine and Rehabilitation<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Physician Assistant<\/th><td class=\"has-text-align-left\" data-align=\"left\">Physician Assistant<\/td><\/tr><tr><th class=\"has-text-align-left\" data-align=\"left\" scope=\"row\">Surgical Specialists<\/th><td class=\"has-text-align-left\" data-align=\"left\">Orthopedic Surgery, Anesthesiology, General Surgery<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">Source: Medicare Part D Data, 2016 NOTE: Specialties were self-reported to CMS and aggregated by ONC.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"padding-top:var(--wp--preset--spacing--60)\"><strong>Appendix Table A3:<\/strong> Percent of Part D prescribers who use EPCS on the Surescripts Network compared to average number of opioid claims per prescriber by state, 2016.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">State<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">% of EPCS Prescribers<\/th><th class=\"has-text-align-center\" data-align=\"center\" scope=\"col\">Average Part D Opioid Claims per Prescriber<\/th><\/tr><\/thead><tbody><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">National<\/th><td class=\"has-text-align-center\" data-align=\"center\">11%<\/td><td class=\"has-text-align-center\" data-align=\"center\">69<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">AK<\/th><td class=\"has-text-align-center\" data-align=\"center\">6%<\/td><td class=\"has-text-align-center\" data-align=\"center\">34<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">AL<\/th><td class=\"has-text-align-center\" data-align=\"center\">2%<\/td><td class=\"has-text-align-center\" data-align=\"center\">155<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">AR<\/th><td class=\"has-text-align-center\" data-align=\"center\">4%<\/td><td class=\"has-text-align-center\" data-align=\"center\">133<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">AZ<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">73<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">CA<\/th><td class=\"has-text-align-center\" data-align=\"center\">8%<\/td><td class=\"has-text-align-center\" data-align=\"center\">60<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">CO<\/th><td class=\"has-text-align-center\" data-align=\"center\">6%<\/td><td class=\"has-text-align-center\" data-align=\"center\">60<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">CT<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">39<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">DC<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">17<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">DE<\/th><td class=\"has-text-align-center\" data-align=\"center\">9%<\/td><td class=\"has-text-align-center\" data-align=\"center\">67<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">FL<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">82<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">GA<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">99<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">HI<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">37<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">IA<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">72<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">ID<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">87<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">IL<\/th><td class=\"has-text-align-center\" data-align=\"center\">4%<\/td><td class=\"has-text-align-center\" data-align=\"center\">52<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">IN<\/th><td class=\"has-text-align-center\" data-align=\"center\">7%<\/td><td class=\"has-text-align-center\" data-align=\"center\">98<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">KS<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">86<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">KY<\/th><td class=\"has-text-align-center\" data-align=\"center\">4%<\/td><td class=\"has-text-align-center\" data-align=\"center\">108<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">LA<\/th><td class=\"has-text-align-center\" data-align=\"center\">6%<\/td><td class=\"has-text-align-center\" data-align=\"center\">95<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">MA<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">37<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">MD<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">47<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">ME<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">63<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">MI<\/th><td class=\"has-text-align-center\" data-align=\"center\">12%<\/td><td class=\"has-text-align-center\" data-align=\"center\">82<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">MN<\/th><td class=\"has-text-align-center\" data-align=\"center\">12%<\/td><td class=\"has-text-align-center\" data-align=\"center\">49<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">MO<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">95<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">MS<\/th><td class=\"has-text-align-center\" data-align=\"center\">2%<\/td><td class=\"has-text-align-center\" data-align=\"center\">123<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">MT<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">67<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">NC<\/th><td class=\"has-text-align-center\" data-align=\"center\">7%<\/td><td class=\"has-text-align-center\" data-align=\"center\">92<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">ND<\/th><td class=\"has-text-align-center\" data-align=\"center\">29%<\/td><td class=\"has-text-align-center\" data-align=\"center\">56<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">NE<\/th><td class=\"has-text-align-center\" data-align=\"center\">21%<\/td><td class=\"has-text-align-center\" data-align=\"center\">65<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">NH<\/th><td class=\"has-text-align-center\" data-align=\"center\">6%<\/td><td class=\"has-text-align-center\" data-align=\"center\">50<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">NJ<\/th><td class=\"has-text-align-center\" data-align=\"center\">7%<\/td><td class=\"has-text-align-center\" data-align=\"center\">47<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">NM<\/th><td class=\"has-text-align-center\" data-align=\"center\">4%<\/td><td class=\"has-text-align-center\" data-align=\"center\">63<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">NV<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">92<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">NY<\/th><td class=\"has-text-align-center\" data-align=\"center\">62%<\/td><td class=\"has-text-align-center\" data-align=\"center\">31<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">OH<\/th><td class=\"has-text-align-center\" data-align=\"center\">6%<\/td><td class=\"has-text-align-center\" data-align=\"center\">73<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">OK<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">109<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">OR<\/th><td class=\"has-text-align-center\" data-align=\"center\">10%<\/td><td class=\"has-text-align-center\" data-align=\"center\">73<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">PA<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">63<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">RI<\/th><td class=\"has-text-align-center\" data-align=\"center\">15%<\/td><td class=\"has-text-align-center\" data-align=\"center\">45<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">SC<\/th><td class=\"has-text-align-center\" data-align=\"center\">4%<\/td><td class=\"has-text-align-center\" data-align=\"center\">101<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">SD<\/th><td class=\"has-text-align-center\" data-align=\"center\">19%<\/td><td class=\"has-text-align-center\" data-align=\"center\">66<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">TN<\/th><td class=\"has-text-align-center\" data-align=\"center\">4%<\/td><td class=\"has-text-align-center\" data-align=\"center\">118<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">TX<\/th><td class=\"has-text-align-center\" data-align=\"center\">11%<\/td><td class=\"has-text-align-center\" data-align=\"center\">70<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">UT<\/th><td class=\"has-text-align-center\" data-align=\"center\">12%<\/td><td class=\"has-text-align-center\" data-align=\"center\">68<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">VA<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">65<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">VT<\/th><td class=\"has-text-align-center\" data-align=\"center\">9%<\/td><td class=\"has-text-align-center\" data-align=\"center\">55<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">WA<\/th><td class=\"has-text-align-center\" data-align=\"center\">5%<\/td><td class=\"has-text-align-center\" data-align=\"center\">62<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">WI<\/th><td class=\"has-text-align-center\" data-align=\"center\">9%<\/td><td class=\"has-text-align-center\" data-align=\"center\">69<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">WV<\/th><td class=\"has-text-align-center\" data-align=\"center\">3%<\/td><td class=\"has-text-align-center\" data-align=\"center\">95<\/td><\/tr><tr><th class=\"has-text-align-center\" data-align=\"center\" scope=\"row\">WY<\/th><td class=\"has-text-align-center\" data-align=\"center\">7%<\/td><td class=\"has-text-align-center\" data-align=\"center\">58<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">Source: Medicare Part D Data, 2016; Surescripts Network Data.<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>In 2010, the United States Drug Enforcement Administration (DEA) revised its regulations to allow pharmacies, [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"template":"","meta":{"_acf_changed":false,"_selected_menu":"","_show_breadcrumbs":"true","footnotes":""},"categories":[],"topics":[133,55,126,72,60,84,82],"class_list":["post-165018","data-brief","type-data-brief","status-publish","hentry","topics-adoption","topics-care-continuum","topics-data","topics-hit-policy","topics-pharmacy-pdmp","topics-security","topics-security-privacy"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.5 (Yoast SEO v28.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016 - ONC Health IT Research &amp; Analysis<\/title>\n<meta name=\"description\" content=\"Health IT Research and Analysis provides access to datasets, analysis, and reporting that monitor health information technology trends and Office of the National Coordinator for Health IT programs and policies.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/healthit.gov\/data\/data-briefs\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016\" \/>\n<meta property=\"og:description\" content=\"Health IT Research and Analysis provides access to datasets, analysis, and reporting that monitor health information technology trends and Office of the National Coordinator for Health IT programs and policies.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/healthit.gov\/data\/data-briefs\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\/\" \/>\n<meta property=\"og:site_name\" content=\"ONC Health IT Research &amp; Analysis\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-18T18:03:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2021\/06\/dashboard-databrief-36.png\" \/>\n\t<meta property=\"og:image:width\" content=\"539\" \/>\n\t<meta property=\"og:image:height\" content=\"381\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"12 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/data-briefs\\\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\\\/\",\"url\":\"https:\\\/\\\/healthit.gov\\\/data\\\/data-briefs\\\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\\\/\",\"name\":\"Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016 - ONC Health IT Research &amp; 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policies.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/data-briefs\\\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/healthit.gov\\\/data\\\/data-briefs\\\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/data-briefs\\\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\\\/#primaryimage\",\"url\":\"https:\\\/\\\/healthit.gov\\\/data\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2021\\\/06\\\/dashboard-databrief-36.png\",\"contentUrl\":\"https:\\\/\\\/healthit.gov\\\/data\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2021\\\/06\\\/dashboard-databrief-36.png\",\"width\":539,\"height\":381,\"caption\":\"This figure contains a bubble chart that shows variation in use of EPCS by specialty. The y-axis represents the percent of Part D prescribers using EPCS and the x-axis represents the number of Part D opioid claims per prescriber. The size of each bubble represents the total number of Part D opioid claims per specialty with larger bubbles representing a higher number opioid claims. The color of each bubble represents the total number of prescribers per specialty with darker shades of purple representing a higher number of prescribers. The specific data points for this figure are described in more detail in Appendix Table A1.\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/data-briefs\\\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/healthit.gov\\\/data\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/#website\",\"url\":\"https:\\\/\\\/healthit.gov\\\/data\\\/\",\"name\":\"ONC - Office of the National Coordinator for Health IT\",\"description\":\"Better health enabled by data\",\"publisher\":{\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/#organization\"},\"alternateName\":\"ONC\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/healthit.gov\\\/data\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/#organization\",\"name\":\"ONC - Office of the National Coordinator for Health IT\",\"alternateName\":\"ONC\",\"url\":\"https:\\\/\\\/healthit.gov\\\/data\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/healthit.gov\\\/data\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2025\\\/09\\\/ONC.jpg\",\"contentUrl\":\"https:\\\/\\\/healthit.gov\\\/data\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2025\\\/09\\\/ONC.jpg\",\"width\":1200,\"height\":628,\"caption\":\"ONC - Office of the National Coordinator for Health IT\"},\"image\":{\"@id\":\"https:\\\/\\\/healthit.gov\\\/data\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016 - ONC Health IT Research &amp; 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The y-axis represents the percent of Part D prescribers using EPCS and the x-axis represents the number of Part D opioid claims per prescriber. The size of each bubble represents the total number of Part D opioid claims per specialty with larger bubbles representing a higher number opioid claims. The color of each bubble represents the total number of prescribers per specialty with darker shades of purple representing a higher number of prescribers. The specific data points for this figure are described in more detail in Appendix Table A1."},{"@type":"BreadcrumbList","@id":"https:\/\/healthit.gov\/data\/data-briefs\/electronic-prescribing-controlled-substances-among-medicare-part-d-prescribers\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/healthit.gov\/data\/"},{"@type":"ListItem","position":2,"name":"Electronic Prescribing of Controlled Substances among Medicare Part D Prescribers 2015-2016"}]},{"@type":"WebSite","@id":"https:\/\/healthit.gov\/data\/#website","url":"https:\/\/healthit.gov\/data\/","name":"ONC - Office of the National Coordinator for Health IT","description":"Better health enabled by data","publisher":{"@id":"https:\/\/healthit.gov\/data\/#organization"},"alternateName":"ONC","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/healthit.gov\/data\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/healthit.gov\/data\/#organization","name":"ONC - Office of the National Coordinator for Health IT","alternateName":"ONC","url":"https:\/\/healthit.gov\/data\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/healthit.gov\/data\/#\/schema\/logo\/image\/","url":"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2025\/09\/ONC.jpg","contentUrl":"https:\/\/healthit.gov\/data\/wp-content\/uploads\/sites\/2\/2025\/09\/ONC.jpg","width":1200,"height":628,"caption":"ONC - Office of the National Coordinator for Health IT"},"image":{"@id":"https:\/\/healthit.gov\/data\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/data-brief\/165018","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/data-brief"}],"about":[{"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/types\/data-brief"}],"author":[{"embeddable":true,"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/users\/3"}],"version-history":[{"count":6,"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/data-brief\/165018\/revisions"}],"predecessor-version":[{"id":168737,"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/data-brief\/165018\/revisions\/168737"}],"wp:attachment":[{"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/media?parent=165018"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/categories?post=165018"},{"taxonomy":"topics","embeddable":true,"href":"https:\/\/healthit.gov\/data\/wp-json\/wp\/v2\/topics?post=165018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}