Skip to Content

A Big Stimulus Boost for Electronic Health Records

Wiring up physicians from small practices will be one of the biggest hurdles.
February 20, 2009

Physicians and information specialists across the country are feverishly figuring out how to best prepare for the impending availability of $19 billion designated for health-care IT spending in the newly signed stimulus bill. Broadly deploying electronic health records (EHRs), they say, will require special support for small private practices across the country. These physicians provide up to 80 percent of the nation’s health care, but fewer than 20 percent of them are currently using EHRs.

The bulk of the stimulus funds–$17 billion–will go toward incentives in the form of Medicare and Medicaid reimbursements for physicians and hospitals that use electronic systems. Starting in 2011, physicians using health information technologies, such as EHRs and electronic prescribing systems, will be eligible for $40,000 to $65,000, and hospitals will be eligible for several million dollars. The incentives would be phased out over time, with penalties for those who fail to adopt electronic records within five years. “I think many people were disappointed that incentives won’t kick in for a couple of years,” says David Bates, chief of the Division of General Medicine at the Brigham and Women’s Hospital, in Boston. “But those incentives are going to be substantial, and I think [practices] will start to adopt electronic health records now.”

Only about 4 to 25 percent of providers in the United States use electronic record-keeping systems, depending on the size of the practice. The bill won’t require that all doctors use EHRs, or directly pay for the software. But its incentive program will help overcome the major barrier in getting physicians to adopt these systems. While doctors must spend $40,000 to $50,000 to buy an EHR system and may lose significant productivity in the first few months of use, with the current system, it’s insurers and payers rather than physicians who would reap the savings that EHRs would bring, says John Halamka, chief information officer and dean for technology at Harvard Medical School. The system is similar to that employed in Denmark, which has some of the highest EHR use in the world.

In addition, the bill creates an Office of the National Coordinator of Healthcare Information Technology, a body within the Department of Health and Human Services, to oversee adoption of EHRs and to set standards and best practices. That office will dole out funds, along with the National Institute of Standards and Technology and other federal agencies.

To get the incentives, physicians and hospitals must meet certain requirements, most notably using electronic systems that can share information between different providers and institutions. That is no small feat, and the remaining $2 billion in stimulus spending has been designated for the development of standards and best-practice guidelines over the next two years, as well as for training programs for the legion of health-care IT workers needed to implement these systems. “There is a huge gap between the number of people trained in this area and the number of people we need,” says Bates. “Almost every practice of 10 to 15 physicians will need someone technical to help them out.”

Most physicians have little time or inclination to comparison shop for EHR systems and are ill-equipped to deal with the technology problems likely to crop up when implementing them. “We can’t assume every small practice will be able to [install EHRs] on their own,” says Farzad Mostashari, an assistant commissioner in the New York City Department of Health who has helped oversee the city’s EHR program. “The most effective implementations have been community wide,” says Bates. “On their own, people pick too many different programs and make it difficult to exchange information.”

In a letter sent to the White House and to Congress last week, a number of physicians and health-care administrators from across the country, including Halamka and Mostashari, urged the incorporation of community-level guidance into the bill. Legislators appeared to have listened, designating funding for regional health-care IT centers that will provide technical and other assistance to area providers. The bill includes funding–via competitive grants–for regional centers that would help relieve this burden by providing best-practice guidelines and technical assistance.

The letter cited two successful examples of community-based deployments: New York’s primary-care information project and the Massachusetts eHealth Collaborative. The New York project, launched in 2007, is an effort to bring EHRs to primary-care providers even in the poorest parts of the city. The program provides technical training and support, and will also assess both the economic and health benefits of going digital. “The experience in [Massachusetts and New York] has been nearly 100 percent successful adoption of EHR implementation in the practices that participated,” says Harvard Medical School’s Halamka.

Community-based efforts are also important to adequately address privacy issues, one of the biggest concerns that have cropped up in response to EHRs.”Small practices have no experience with security features,” says Mostashari. “We have a privacy lawyer who helps develop privacy practices so providers can take steps to reduce their risk.”

He emphasizes that while electronic health records carry some risk–data on thousands of people could be inadvertently or purposely released–there are also benefits, such as being able to audit who accessed a particular chart.

Companies that sell EHRs are already gearing up for the expanding market. “We intend to aggressively ramp up our business,” says Girish Kumar Navani, president and cofounder of eClinicalWorks, a Massachusetts-based technology firm that supplied software and support to both the Massachusetts and New York EHR projects. “We’re planning to open an office in California and will hire a lot of people there as well.”

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.