The original motivator for electronic health records and exchanging health information (way back in the dark days of the late 20th century) was to make it easier, safer and cheaper to take care of patients. The push came largely from managers looking to reduce the transaction costs of care and providers trying to reduce the administrative overhead of care so they could spend more time dealing with patients.
However, the more I deal with health information systems, the more I see that the best and highest purpose is not for management or even professional use. Rather, it is for patients. Giving patients their own information, (in the right format, via the right medium, at the right time, and from the right source), does more than enable them to make better decisions, it engages them in their care. It motivates them, educates them, energizes them, and empowers them. Whether any specific bit of information is, by itself, critical to the patient's care is not the whole story. The mere act of sharing the information with the patient turns the patient from a passive passenger on the health care bus to the driver, choosing the destination and calling the stops.
What happens when you engage patients with chronic care by sharing their personal health information with them?
1) They like it. Really, really a lot. HIE with patients is a big satisfier.
2) It generates scheduled care, notably primary care.
3) It reduces the need for urgent and emergency care and hospitalizations.
4) It saves a huge amount of money.
(Oddly, it seems to do all this without improving the patient's disease control, their physiologic state. The mechanism for this is unclear, but more on that later.)
It's early days yet and exactly how best to share information, which information, and so forth is by no means completely clear. However, there are some very well documented examples that work and are ready for deployment now.
If you would like to learn more about this, you might want to check out a recorded webinar featuring yours truly:
I'll also be doing a presentation at the Spring Managed Care Forum in Orlando on April 15.
A personal look at clinical decision support -- using individual information (lab test results, clinical findings, prescriptions, administrative data, etc.) to engage patients, improve individual care, enhance population health, and make health care safer, faster, cheaper and more effective.
Saturday, April 2, 2011
Tuesday, March 22, 2011
Does Improving Patient Engagement Result in More Appropriate Utilization
Please join me for a webinar tomorrow:
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Wednesday, February 23, 2011
Are we persuasive enough?
Joseph Kvedar, M.D. at the Center for Connected Health wrote recently about embedding the basic tools of persuasion into automated interchanges for better health. Messages that take advantage of reciprocation, consistency with personal commitments, expert authority, access to scarce resources, liking the source, and social norming are more likely to be persuasive. Marketers and sales people have long known this. I also agree with him that increased demand for health care as will require some sort of efficiency gains to maintain any semblance of access and equity.
In fact, the gains had by engaging patients in their own care, combined with the efficiencies of automation, are the "secret sauce" behind the success of the Vermedx Diabetes Information System in reducing the need for hospital and Emergency Room care as well as in reducing total costs of care.
His column got me thinking about our own automated messages within the Vermedx system. The letters to patients clearly take advantage of personal commitments and expert authority, but they could make better use of social norming and access to scarce resources. However, we take advantage or another technique that wasn't mentioned: specificity. Vermedx messages include information that is timely, specific, and actionable. Rather than say "You ought to get blood tests regularly," Vermedx tells the patient exactly when the test was due and what to do about it now.
We're going to be working on better ways to incorporate all the positive aspects of the Psychology of Persuasion (or Behavioral Economics, if you prefer) to make even greater gains in health outcomes.
In fact, the gains had by engaging patients in their own care, combined with the efficiencies of automation, are the "secret sauce" behind the success of the Vermedx Diabetes Information System in reducing the need for hospital and Emergency Room care as well as in reducing total costs of care.
His column got me thinking about our own automated messages within the Vermedx system. The letters to patients clearly take advantage of personal commitments and expert authority, but they could make better use of social norming and access to scarce resources. However, we take advantage or another technique that wasn't mentioned: specificity. Vermedx messages include information that is timely, specific, and actionable. Rather than say "You ought to get blood tests regularly," Vermedx tells the patient exactly when the test was due and what to do about it now.
We're going to be working on better ways to incorporate all the positive aspects of the Psychology of Persuasion (or Behavioral Economics, if you prefer) to make even greater gains in health outcomes.
Monday, February 14, 2011
How big a chunk of information do we want to exchange?
John Halamka and Wes Rishel have a very interesting approach to the recent debates on just what it is we might be exchanging in Health Information Exchanges. The problem arises from a tension among the need to care for the individual patient in front of you right now, to put that patient's care in the context of their history over time, and to take a broader view of a population of patients.
The provider with an individual case in the here and now traditionally generates a progress note - a document with whatever he or she thinks is required for the purposes of care. Much of professional education is transmitting the law and lore of what must/may/mustn't go into these documents and how to organize them for their various audiences. In general, they are free text, minimally organized with perhaps a few headings (Chief Complaint, Past Medical History, Assessment, etc.) and highly variable both across and within practitioners. (Some ten years ago, when Medicare mandated the presence of a Review of Systems for most office and hospital visits, the push-back from providers was huge and some actually left the profession rather than comply with this minimal nod towards standardization.)
Caring for patients in context requires the assembly of data across time and space and is the first place that electronic health records really shine. Knowing that the patient has an abnormal cardiogram now is valuable. Knowing that it is unchanged from one taken a year ago by another physician is gold. Sharing documents across settings and providers accomplishes much of this, although it can certainly be improved upon with a little more granular organization.
At the population level, however, unstructured documents are not all that useful. Searching for the incidence of diabetic foot examination in our institution required natural language processing of many thousands of documents and failed to produce a reliable estimate [Kost, Chen, Littenberg et al. AMIA 2009]. Rather, we need standardized components of documents that can be extracted, transmitted, understood both as stand-alone entities and in the context they arose from, and analyzed for population as well as individual purposes.
Clinical laboratory data have long had these characteristics. A more-or-less complete documentation of a clinical chemistry test will consist of patient identifiers, specimen source (blood, urine, etc.), date and time of acquisition, analytic method, result, and units. However, even these simple concepts are represented by a bewildering array of formats and definitions. To make matters worse, clinical labs routinely change their analytic methods, units, test names and any of these details, sometimes without even warning the users! A huge amount of effort goes into maintaining the clinical laboratory interfaces at Vermedx to ensure that these data continue to be useful over time.
More complex and less structured data such as pathology reports, operative notes, and discharge summaries are going to require a very large amount of work to make them transmissible and useful at this level. The first steps seem to be to agree upon what the smaller, irreducible units of information should be. This will undoubtedly be the battlefield of yet another IS standards war, but the outcome will have very big implications for how, and even whether, we can exchange health information into the future.
The provider with an individual case in the here and now traditionally generates a progress note - a document with whatever he or she thinks is required for the purposes of care. Much of professional education is transmitting the law and lore of what must/may/mustn't go into these documents and how to organize them for their various audiences. In general, they are free text, minimally organized with perhaps a few headings (Chief Complaint, Past Medical History, Assessment, etc.) and highly variable both across and within practitioners. (Some ten years ago, when Medicare mandated the presence of a Review of Systems for most office and hospital visits, the push-back from providers was huge and some actually left the profession rather than comply with this minimal nod towards standardization.)
Caring for patients in context requires the assembly of data across time and space and is the first place that electronic health records really shine. Knowing that the patient has an abnormal cardiogram now is valuable. Knowing that it is unchanged from one taken a year ago by another physician is gold. Sharing documents across settings and providers accomplishes much of this, although it can certainly be improved upon with a little more granular organization.
At the population level, however, unstructured documents are not all that useful. Searching for the incidence of diabetic foot examination in our institution required natural language processing of many thousands of documents and failed to produce a reliable estimate [Kost, Chen, Littenberg et al. AMIA 2009]. Rather, we need standardized components of documents that can be extracted, transmitted, understood both as stand-alone entities and in the context they arose from, and analyzed for population as well as individual purposes.
Clinical laboratory data have long had these characteristics. A more-or-less complete documentation of a clinical chemistry test will consist of patient identifiers, specimen source (blood, urine, etc.), date and time of acquisition, analytic method, result, and units. However, even these simple concepts are represented by a bewildering array of formats and definitions. To make matters worse, clinical labs routinely change their analytic methods, units, test names and any of these details, sometimes without even warning the users! A huge amount of effort goes into maintaining the clinical laboratory interfaces at Vermedx to ensure that these data continue to be useful over time.
More complex and less structured data such as pathology reports, operative notes, and discharge summaries are going to require a very large amount of work to make them transmissible and useful at this level. The first steps seem to be to agree upon what the smaller, irreducible units of information should be. This will undoubtedly be the battlefield of yet another IS standards war, but the outcome will have very big implications for how, and even whether, we can exchange health information into the future.
Wednesday, December 29, 2010
Consumer Health Information Quality
We usually write about the exchange of individual patient's information here at HealthInfoEx, but a recent article by R. Scott Braithwaite at New York University Medical Center, published in the Journal of General Internal Medicine, brings up a very fine idea about the quality of consumer health information. To help stem the tide of over-hyped scientific trivia passed off as "breakthrough in health care," Braithwaite suggests that medical journals include a consumer rating scale. He very reasonably suggests using the US Preventive Services Task Force quality of evidence scale as a template and has a number of clever ideas to encourage lay media outlets to use it.
Braithwaite is worried about blogs (which he refers to, with a bit of a sniff, as "gray literature") and fears they wouldn't play along. Perhaps the blog certification services, like the Health on the Net Foundation, should require it to earn their seal of approval. (HON puts HealthInfoEx through the wringer on a regular basis.)
Kudos to Scott Braithwaite for a good idea on a vexing problem!
Braithwaite is worried about blogs (which he refers to, with a bit of a sniff, as "gray literature") and fears they wouldn't play along. Perhaps the blog certification services, like the Health on the Net Foundation, should require it to earn their seal of approval. (HON puts HealthInfoEx through the wringer on a regular basis.)
Kudos to Scott Braithwaite for a good idea on a vexing problem!
Tuesday, November 16, 2010
Clinical, Technical and Policy Issues in Exchanging Health Information
Every once in a while we get a request by a reader to post a guest entry on the blog. Frankly, we remain a bit dubious. But they are so eager, we allow the better angels of our otherwise controlling nature some free rein. So, here is a guest post for your interest and enjoyment. Many thanks to author Rachel Davis who more often writes on Radiology degrees . She welcomes your comments at racheldavis65[@]gmail[.]com.
Clinical, Technical and Policy Issues in Exchanging Health Information
Health Information Exchange (HIE) has been proposed as one of the best ways to reduce waste and bring down costs in the healthcare system – when patient information is shared electronically across disparate healthcare systems without compromising on security, meaning and accuracy, it enables optimal provision of health care. For HIE to achieve success and attain its goals, the clinical, technical and policy issues relevant to the exchange of health information must be defined clearly and followed accurately.
Clinical issues are those that relate directly to patient care and which facilitate the provision of effective care in the shortest possible time and at the least possible cost. A study conducted by the Medical College of Wisconsin has found that ER doctors who have electronic access to patient data through a HIE spend less time in gathering information and make clinical decisions that are better informed and lead to better care for the patient. Clinical issues of a HIE deal with the accurate collection and compilation of information such as lab procedures, prescribed medication, patients’ main complaints, prior visits and treatments, and any other data that helps the attending doctor gain a more comprehensive picture of the medical history of the patient. When clinical information is accurate, it prevents errors, reduces wastage of time, effort, and money, and eliminates redundancy – time and money are not wasted on tests that have already been done, and medicines that cause allergies and adverse reactions are not prescribed inadvertently.
The technical issues relate to the software and hardware requirements for the implementation of the HIE. The underlying architecture of the HIE must be designed and implemented, and it should include information relating to medication history standards, laboratory result standards, issues that relate to data quality, and the implementation of a record locator service.
Policy issues relate to the privacy aspects in a networked HIE, privacy policies and procedures that relate to a HIE, notification and consent when using a record locator service, matching patients to their records correctly and without any mix-ups, authenticating and setting levels of access for users, deciding on patient access to their own information (and protecting information of other patients), auditing access to a HIE, breaches of confidential health information, and a common and standardized framework for networked personal health information.
A Health Information Exchange must resolve clinical, technical and policy issues before it can be implemented successfully in any healthcare setting.
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