
Perspective
Stimulating the Adoption of Health Information Technology
N Engl J Med 2009; 360:1477-1479April 9, 2009
- Article
The recently enacted stimulus bill — the American Recovery and Reinvestment Act of 2009 (ARRA) — touches almost every aspect of the U.S. economy. Health care is no exception. In fact, the ARRA is historic health care legislation of the type rarely produced by our famously incremental federal government. The law prevents dramatic state cuts in Medicaid, expands funding for preventive health care services and health care research, and helps the unemployed buy health insurance. But perhaps its most profound effect on doctors and patients will result from its unprecedented $19 billion program to promote the adoption and use of health information technology (HIT) and especially electronic health records (EHRs).
The HIT components of the stimulus package — collectively labeled HITECH in the law — reflect a shared conviction among the fledgling Obama administration, the Congress, and many health care experts that electronic information systems are essential to improving the health and health care of Americans. However, proponents of HIT expansion face substantial problems. Few U.S. doctors or hospitals — perhaps 17% and 10%, respectively — have even basic EHRs, and there are significant barriers to their adoption and use: their substantial cost, the perceived lack of financial return from investing in them, the technical and logistic challenges involved in installing, maintaining, and updating them, and consumers' and physicians' concerns about the privacy and security of electronic health information. HITECH addresses these obstacles head on, but huge challenges await efforts to implement the law and fulfill President Barack Obama's promise that every American will have the benefit of an EHR by 2014.
One of HITECH's most important features is its clarity of purpose. Congress apparently sees HIT — computers, software, Internet connection, telemedicine — not as an end in itself but as a means of improving the quality of health care, the health of populations, and the efficiency of health care systems. Under the pressure to show results, it will be tempting to measure HITECH's payoff from the $787 billion stimulus package in narrow terms — for example, the numbers of computers newly deployed in doctors' offices and hospital nursing stations. But that does not seem to be Congress's intent. It wants improvements in health and health care through the use of HIT.
To achieve this goal, the law takes several approaches. It starts by creating a leadership structure to guide federal HIT policy: the Office of the National Coordinator of Health Information Technology (ONCHIT) within the Department of Health and Human Services (DHHS). ONCHIT currently exists under executive authority, but HITECH enshrines it in statute and greatly expands its resources. One of the national coordinator's first responsibilities will be to create a strategic plan for a nationwide interoperable health information system, a plan that must be updated annually. Two statutory committees will advise the coordinator: a Health Information Policy Committee and a Health Information Standards Committee.
From the standpoint of physicians, the legislation's most important provision may be $17 billion in financial incentives intended to get doctors and hospitals to adopt and use EHRs. Starting in 2011, physicians can receive extra Medicare payments for the “meaningful use” of a “certified” EHR that can exchange data with other parts of the health care system. These payments can total as much as $18,000 in the first year in the case of physicians who adopt in 2011 or 2012, with at least $15,000 for physicians who adopt in 2013 and a slightly lower amount for those who do so in 2014; incentives are gradually reduced and then ended in 2016. Thus, physicians demonstrating meaningful use starting in 2011 could collect $44,000 over 5 years. Waiting until 2013 would result in a maximum bonus of $27,000 over 3 years. Experts estimate the cost of purchasing, installing, and implementing an electronic-records system in a medical office at about $40,000.
For physicians with high volumes of Medicaid patients (30% or higher), the law provides subsidies through the Medicaid program as well. Doctors must choose whether to participate in the Medicaid or Medicare bonus program — they cannot receive awards from both. Hospitals participating in Medicare also stand to benefit. Meaningful use of EHRs in 2011 will earn hospitals a one-time bonus payment of $2 million plus an add-on to the Medicare fee based on the diagnosis-related group (DRG). The add-on, which would phase out over a 4-year period, would apply to every admission up to a (yet-to-be-designated) maximum amount. Children's hospitals and other hospitals with a high volume of Medicaid patients can participate in a Medicaid incentive program instead.
HITECH also threatens financial penalties to spur adoption. Physicians who are not using EHRs meaningfully by 2015 will lose 1% of their Medicare fees, then 2% in 2016, and 3% in 2017. Hospitals, too, face penalties for nonadoption as of 2015 — in their case, taking the form of cuts in their annual updates under the DRG system.
Spurring the adoption of EHRs and other HIT will probably require more than financial carrots and sticks. Many physicians and hospitals will need technical help to keep their systems working and to update them as technology improves. HITECH provides $2 billion for ONCHIT to begin putting such support systems in place and authorizes a variety of tools for building the requisite infrastructure. It sets aside $300 million to support the development of health information exchange capabilities at the regional and state levels. The law also authorizes grants to create regional technology extension centers to help providers install EHRs, funds to train a workforce to assist with HIT implementation, educational programs for medical students, and grants and loans to states to assist with adoption and interoperability.
Mindful of concerns about privacy and the security of electronic-records systems, HITECH strengthens protections of health care information as well. It extends the privacy and security regulations of the Health Insurance Portability and Accountability Act to health information vendors not previously covered by the law, including businesses such as Google and Microsoft, when they partner with health care providers to create personal health records for patients. It requires health care organizations to promptly notify patients when personal health data have been compromised, and it limits the commercial use of such information.
All this constitutes a substantial down payment on the financial and human resources needed to wire the U.S. health care system. Still, major hurdles remain. First, the DHHS and ONCHIT are operating on a very tight schedule. The infrastructure to support HIT adoption should be in place well before 2011 if physicians and hospitals are to be prepared to benefit from the most generous Medicare and Medicaid bonuses. Meeting this deadline will be challenging. It takes time to develop and implement innovative federal programs, and it will take even more time to create the local institutions needed to support HIT implementation.
Second, much will depend on the federal government's skill in defining two critical terms: “certified EHR” and “meaningful use.” ONCHIT currently contracts with a private organization, the Certification Commission for Health Information Technology, to certify EHRs as having the basic capabilities the federal government believes they need. But many certified EHRs are neither user-friendly nor designed to meet HITECH's ambitious goal of improving quality and efficiency in the health care system. Tightening the certification process is a critical early challenge for ONCHIT. Similarly, if EHRs are to catalyze quality improvement and cost control, physicians and hospitals will have to use them effectively. That means taking advantage of embedded clinical decision supports that help physicians take better care of their patients. By tying Medicare and Medicaid financial incentives to “meaningful use,” Congress has given the administration an important tool for motivating providers to take full advantage of EHRs, but if the requirements are set too high, many physicians and hospitals may rebel — petitioning Congress to change the law or just resigning themselves to forgoing incentives and accepting penalties. Finally, realizing the full potential of HIT depends in no small measure on changing the health care system's overall payment incentives so that providers benefit from improving the quality and efficiency of the services they provide. Only then will they be motivated to take full advantage of the power of EHRs.
The nation's economic woes have given birth to an unprecedented federal effort to modernize the information systems of a troubled health care system. It is now up to the government and the nation's health care professionals and facilities to turn this opportunity into real improvements in the health and health care of Americans.
Dr. Blumenthal reports receiving grant support from GE Corporate Healthcare, the Macy Foundation, and the Office of the National Coordinator for Health Information Technology in the Department of Health and Human Services and speaking fees from the FOJP Service Corporation and serving as an adviser to the presidential campaign of Barack Obama. No other potential conflict of interest relevant to this article was reported.
This article (10.1056/NEJMp0901592) was published at NEJM.org on March 25, 2009.
Source Information
Dr. Blumenthal is director of the Institute for Health Policy, Massachusetts General Hospital–Partners Healthcare System and Harvard Medical School — both in Boston. He has been named National Coordinator for Health Information Technology.
- Citing Articles (51)
Citing Articles
1
Benjamin Ngugi, Peter Tarasewich, Michael Recce. (2014) Typing Biometric Keypads. Journal of Organizational and End User Computing 24:1, 42-63
CrossRef2
Daniel J. Pallin, Ashley F. Sullivan, Janice A. Espinola, Adam B. Landman, Carlos A. Camargo. (2011) Increasing Adoption of Computerized Provider Order Entry, and Persistent Regional Disparities, in US Emergency Departments. Annals of Emergency Medicine 58:6, 543-550.e3
CrossRef3
Scott J. Ellner, Paul W. Joyner. (2011) Information Technologies and Patient Safety. Surgical Clinics of North America
CrossRef4
Judith A. Monroe. (2011) Exploring the Context. American Journal of Preventive Medicine 41:4, S155-S159
CrossRef5
Bree Holtz, Sarah Krein. (2011) Understanding Nurse Perceptions of a Newly Implemented Electronic Medical Record System. Journal of Technology in Human Services 29:4, 247-262
CrossRef6
Jennie C. De Gagne, William A. Bisanar, Jacob T. Makowski, Jennifer L. Neumann. (2011) Integrating informatics into the BSN curriculum: A review of the literature. Nurse Education Today
CrossRef7
G. S. Ginsburg, J. Staples, A. P. Abernethy. (2011) Academic Medical Centers: Ripe for Rapid-Learning Personalized Health Care. Science Translational Medicine 3:101, 101cm27-101cm27
CrossRef8
Classen, David C., Bates, David W., . (2011) Finding the Meaning in Meaningful Use. New England Journal of Medicine 365:9, 855-858
Full Text9
Elizabeth R. Pfoh, Erika Abramson, Stephanie Zandieh, Alison Edwards, Rainu Kaushal. (2011) Satisfaction after the transition between electronic health record systems at six ambulatory practices. Journal of Evaluation in Clinical Practiceno-no
CrossRef10
Robin F. Roark, Bimal R. Shah, Krishna Udayakumar, Eric D. Peterson. (2011) The need for transformative innovation in hypertension management. American Heart Journal 162:3, 405-411
CrossRef11
Janine R. A. Kamath, Amerett L. Donahoe-Anshus. 2011. Electronic Health Record. , 309-332.
CrossRef12
Adil Ahmed, Subhash Chandra, Vitaly Herasevich, Ognjen Gajic, Brian W. Pickering. (2011) The effect of two different electronic health record user interfaces on intensive care provider task load, errors of cognition, and performance*. Critical Care Medicine 39:7, 1626-1634
CrossRef13
Robert L. Hunter. (2011) Health information technology costs and patient safety concerns. Osteopathic Family Physician 3:4, 154-160
CrossRef14
Richard C. Wasserman. (2011) Electronic Medical Records (EMRs), Epidemiology, and Epistemology: Reflections on EMRs and Future Pediatric Clinical Research. Academic Pediatrics 11:4, 280-287
CrossRef15
Joel Handler, Daniel T. Lackland. (2011) Translation of hypertension treatment guidelines into practice: a review of implementation. Journal of the American Society of Hypertension 5:4, 197-207
CrossRef16
Daniel S. Gaylin, Adil Moiduddin, Shamis Mohamoud, Katie Lundeen, Jennifer A. Kelly. (2011) Public Attitudes about Health Information Technology, and Its Relationship to Health Care Quality, Costs, and Privacy. Health Services Research 46:3, 920-938
CrossRef17
Chon Abraham, Iris Junglas. (2011) From cacophony to harmony: A case study about the IS implementation process as an opportunity for organizational transformation at Sentara Healthcare. The Journal of Strategic Information Systems 20:2, 177-197
CrossRef18
Daniel A. Handel, Robert L. Wears, Larry A. Nathanson, Jesse M. Pines. (2011) Using Information Technology to Improve the Quality and Safety of Emergency Care. Academic Emergency Medicine 18:6, e45-e51
CrossRef19
Claudio F. Donner, Johann Christian Virchow, Mirco Lusuardi. (2011) Pharmacoeconomics in COPD and inappropriateness of diagnostics, management and treatment. Respiratory Medicine 105:6, 828-837
CrossRef20
Ji Yeon Kim, Irina K. Kamis, Balaji Singh, Shalini Batra, Roberta H. Dixon, Anand S. Dighe. (2011) Implementation of computerized add-on testing for hospitalized patients in a large academic medical center. Clinical Chemistry and Laboratory Medicine 49:5, 845-850
CrossRef21
A. N. Kho, J. A. Pacheco, P. L. Peissig, L. Rasmussen, K. M. Newton, N. Weston, P. K. Crane, J. Pathak, C. G. Chute, S. J. Bielinski, I. J. Kullo, R. Li, T. A. Manolio, R. L. Chisholm, J. C. Denny. (2011) Electronic Medical Records for Genetic Research: Results of the eMERGE Consortium. Science Translational Medicine 3:79, 79re1-79re1
CrossRef22
Elena Villamañán, Alicia Herrero, Rodolfo Álvarez-Sala. (2011) Prescripción electrónica asistida como nueva tecnología para la seguridad del paciente hospitalizado. Medicina Clínica 136:9, 398-402
CrossRef23
Rebecca Lewis, David A. Adler, Lisa B. Dixon, Beth Goldman, Ann L. Hackman, David W. Oslin, Samuel G. Siris, Marcia Valenstein. (2011) The Psychiatric Note in the Era of Electronic Communication. The Journal of Nervous and Mental Disease 199:4, 212-213
CrossRef24
Heidi L. Wald, Andrew M. Kramer. (2011) Feasibility of audit and feedback to reduce postoperative urinary catheter duration. Journal of Hospital Medicine 6:4, 183-189
CrossRef25
Chon Abraham, Eitaro Nishihara, Miki Akiyama. (2011) Transforming healthcare with information technology in Japan: A review of policy, people, and progress. International Journal of Medical Informatics 80:3, 157-170
CrossRef26
Eike-Henner W. Kluge. (2011) Ethical and legal challenges for health telematics in a global world: Telehealth and the technological imperative. International Journal of Medical Informatics 80:2, e1-e5
CrossRef27
L. Grabenbauer, R. Fraser, J. McClay, N. Woelfl, C. B. Thompson, J. Cambell, J. Windle. (2011) Adoption of Electronic Health Records. Applied Clinical Informatics 2:2, 165-176
CrossRef28
Liam Ennis, Diana Rose, Felicity Callard, Mike Denis, Til Wykes. (2011) Rapid progress or lengthy process? electronic personal health records in mental health. BMC Psychiatry 11:1, 117
CrossRef29
L. Grabenbauer, A. Skinner, J. Windle. (2011) Electronic Health Record Adoption – Maybe It’s not about the Money. Applied Clinical Informatics 2:4, 460-471
CrossRef30
C. K. McMullen, J. S. Ash, D. F. Sittig, A. Bunce, K. Guappone, R. Dykstra, J. Carpenter, J. Richardson, A. Wright. (2011) Rapid Assessment of Clinical Information Systems in the Healthcare Setting. Methods of Information in Medicine 50:4, 299-307
CrossRef31
Bradford William Hesse, Lenora Eulene Johnson, Kia LaTrece Davis. (2010) Extending the reach, effectiveness, and efficiency of communication: Evidence from the centers of excellence in cancer communication research. Patient Education and Counseling 81, S1-S5
CrossRef32
Ruben Amarasingham, Billy J. Moore, Ying P. Tabak, Mark H. Drazner, Christopher A. Clark, Song Zhang, W. Gary Reed, Timothy S. Swanson, Ying Ma, Ethan A. Halm. (2010) An Automated Model to Identify Heart Failure Patients at Risk for 30-Day Readmission or Death Using Electronic Medical Record Data. Medical Care 48:11, 981-988
CrossRef33
Christian J. H. Veillette. (2010) ABJS Carl T. Brighton Workshop on Health Informatics in Orthopaedic Surgery: Editorial Comment. Clinical Orthopaedics and Related Research® 468:10, 2561-2564
CrossRef34
Daniel J. Pallin, Ashley F. Sullivan, Rainu Kaushal, Carlos A. Camargo. (2010) Health information technology in US emergency departments. International Journal of Emergency Medicine 3:3, 181-185
CrossRef35
William E. Trick, Edward S. Linn, Zina Jones, Clay Caquelin, Romina Kee, Julia Y. Morita. (2010) Using Computer Decision Support to Increase Maternal Postpartum Tetanus, Diphtheria, and Acellular Pertussis Vaccination. Obstetrics & Gynecology 116:1, 51-57
CrossRef36
Carol S. Weisman, Cynthia H. Chuang, Sarah Hudson Scholle. (2010) Still Piecing It Together: Women's Primary Care. Women's Health Issues 20:4, 228-230
CrossRef37
Adam B. Landman, Steven L. Bernstein, Allen L. Hsiao, Rani A. Desai. (2010) Emergency Department Information System Adoption in the United States. Academic Emergency Medicine 17:5, 536-544
CrossRef38
Jeremy B. Sussman, Lakshmi K. Halasyamani, Matthew M. Davis. (2010) Hospitals during recession and recovery: Vulnerable institutions and quality at risk. Journal of Hospital Medicine 5:5, 302-305
CrossRef39
Rodolphe Meyer, Patrice Degoulet. (2010) Choosing the right amount of healthcare information technologies investments. International Journal of Medical Informatics 79:4, 225-231
CrossRef40
B. W. Hesse, C. Hanna, H. A. Massett, N. K. Hesse. (2010) Outside the Box: Will Information Technology Be a Viable Intervention to Improve the Quality of Cancer Care?. JNCI Monographs 2010:40, 81-89
CrossRef41
Gregory J. Downing, Alan E. Zuckerman, Constanze Coon, Michele A. Lloyd-Puryear. (2010) Enhancing the Quality and Efficiency of Newborn Screening Programs Through the Use of Health Information Technology. Seminars in Perinatology 34:2, 156-162
CrossRef42
Hesse, Bradford W., Moser, Richard P., , Rutten, Lila J., . (2010) Surveys of Physicians and Electronic Health Information. New England Journal of Medicine 362:9, 859-860
Full Text43
David Classen, David W. Bates, Charles R. Denham. (2010) Meaningful Use of Computerized Prescriber Order Entry. Journal of Patient Safety 6:1, 15-23
CrossRef44
Terceira Berdahl, Pamela L. Owens, Denise Dougherty, Marie C. McCormick, Yuriy Pylypchuk, Lisa A. Simpson. (2010) Annual Report on Health Care for Children and Youth in the United States: Racial/Ethnic and Socioeconomic Disparities in Children's Health Care Quality. Academic Pediatrics 10:2, 95-118
CrossRef45
Ann S. O’Malley, Joy M. Grossman, Genna R. Cohen, Nicole M. Kemper, Hoangmai H. Pham. (2010) Are Electronic Medical Records Helpful for Care Coordination? Experiences of Physician Practices. Journal of General Internal Medicine 25:3, 177-185
CrossRef46
J. J. Nadler, G. J. Downing. (2010) Liberating Health Data for Clinical Research Applications. Science Translational Medicine 2:18, 18cm6-18cm6
CrossRef47
Blumenthal, David, . (2010) Launching HITECH. New England Journal of Medicine 362:5, 382-385
Full Text48
Jason Bonander, Suzanne Gates. (2010) Public Health in an Era of Personal Health Records: Opportunities for Innovation and New Partnerships. Journal of Medical Internet Research 12:3,
CrossRef49
Ji Yeon Kim, Kent Lewandrowski. (2009) Point-of-Care Testing Informatics. Clinics in Laboratory Medicine 29:3, 449-461
CrossRef50
Alan E. Zuckerman. (2009) The Role of Health Information Technology in Quality Improvement in Pediatrics. Pediatric Clinics of North America 56:4, 965-973
CrossRef51
Tsipi Heart, Philip O'Reilly, David Sammon, John O'Donoghue. (2009) Bottom-up or top-down?: A comparative analysis of electronic health record diffusion in Ireland and Israel. Journal of Systems and Information Technology 11:3, 244-268
CrossRef







