Assisting Providers at the Point of Care: A Conversation with a Clinical Decision Support Pioneer | Healthcare Informatics Magazine | Health IT | Information Technology Skip to content Skip to navigation

Assisting Providers at the Point of Care: A Conversation with a Clinical Decision Support Pioneer

August 23, 2016
by Rajiv Leventhal
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Jonathan Teich, M.D., has been at the forefront of providing CDS in various forms to clinicians

Jonathan Teich, M.D., is a wearer of multiple hats when it comes to healthcare and health IT. Currently, Dr. Teich is a practicing emergency physician at Brigham & Women’s Hospital in Boston and Assistant Professor of Medicine at Harvard. But his roles in medicine don’t stop there. He’s also the chief medical informatics officer (CMIO) at Elsevier, one of the world’s biggest producers of scientific and medical information, where he works with the clinical solutions group to develop products that use sophisticated search technology and "smart content" to deliver evidence-based, actionable information clinicians can use to make decisions at the point of care.

Indeed, Teich is perhaps best known in healthcare circles for his passion around clinical decision support (CDS)—the process of delivering situation-specific, actionable health information to clinicians and patients. Most often, CDS applications—such as computerized alerts and reminders to care providers and patients, clinical guidelines, and condition-specific order sets to name a few—operate as components of comprehensive electronic health record (EHR) systems, although standalone CDS systems are also used.

To this end, Teich was on the team of authors who penned the book, Improving Outcomes with Clinical Decision Support: An Implementer's Guide, which first came out in 2005, and has since been updated periodically. In 2012, the authors published the second edition of the book, which received the Book of the Year Award from the Healthcare Information and Management Systems Society (HIMSS).

Teich believes that CDS, in various forms, “can prevent large amounts of medical errors, prevent adverse events, and can proactively optimize care.” Due to his diverse skillset in the medical field and his wealth of knowledge in health IT from spending more than 20 years in medical informatics, Teich is on the leading edge of the sector. Recently, he spoke with Healthcare Informatics about how providers can better maximize their technology investments, how CDS applications are working to help physicians right now, and what’s needed to improve. Below are excerpts of that interview.

With the huge investment the industry has put into healthcare technology, the attention is increasingly turning to maximizing the value of these systems. Is that a place where most patient care organizations sit today?

I would certainly hope so, and I do think so. If you look at the U.S., we are at the stage in which pretty much everyone has an EHR—all the acute facilities and a large portion of ambulatory facilities—and what we are moving towards now is simply from implementation to implementation for value. Everyone is driven by payment reform and payment changes which had traditionally been based on documenting more things, but now are moving more into quality metrics and also cost of care metrics. Those things are driving payment, which is driving what people are spending money on.

Jonathan Teich, M.D.

What’s currently working, and what’s needed to maximize these investments?

There are several different areas where we need to spend more of our investment dollars to address care quality. We should be using computers’ powers to help analyze and remember everything to help us. We found research from myself and others from 20 years ago, and have reinforced since then, that clinical decision support, in various forms, can prevent large amounts of medical errors, adverse events, and can proactively optimize care. Broadly speaking, we are looking to trying to provide CDS in one form or another. And there are three or four areas that are the peak of that today.

Can you speak more about these areas?

The changes in care have to do with older patients, as there is much more chronic disease. We talk about population health and precision medicine; these are names for understanding what a patient is, what subset they fall into, knowing what the best care is for that subset, and delivering it. The areas I’m referring to are: clinical pathways, order sets and care plans, quick access to answers, analytics, and patient engagement.

Regarding clinical pathways, so much of what we’re doing is long term. We have a hard time following up on the status and needs of a 67-year-old person who has COPD [chronic obstructive pulmonary disease] and heart failure and is doing well, but needs to be kept on the straight and narrow by being monitored and having his or her treatment changed. Some people do this now with labor-intensive care management programs, but we can use computers to filter out the folks who need our attention most urgently. So if I have 150 patients with congestive heart failure, I can find ways to figure out the top six or seven who need my attention now, who are falling off a path and need a change.

A typical clinical pathway algorithm or program will help you set out a goal and an ideal path. It can provide it for you, guide you to tweak it and help you follow it. So it helps you say that if this patient’s breathing and activity is doing well, then the following is true. But if he or she showed up in the ER or had trouble breathing, then [the pathway] could help you change that too. A follower of chronic care is much better than what we’re doing now, and much better for quality and cost.


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