site stats
Welcome, register | help | log in

Garbage In Garbage Out: Why PHR Industry is DOA

Featured in:

The experience of ePatient Dave airs the dirty secret, known to insiders: the dream of PHR is doomed by garbage data.

Anybody who followed this blog closely should not be surprised by my skepticism about Personal Health Records (PHR). A patient-managed record is a feel-good idea that unfortunately lacks the economic model to support itself.

Data quality is one of the factors underappreciated by people who expect that technology will be taken care by someone else. We expect the cars, planes and sewers to just work, why not medical records? Who cares about technical details when we feel entitled to having the data there when we need it?

ePatient Dave's experience blasted this nice illusion into pieces

So what happened and why this is so interesting? This all started about a month ago when Dave deBronkart (ePatient Dave), a well know patient blogger and technology enthusiast, decided to bite the bullet and get his medical records into Google Health. His records happened to be at Beth Israel Deaconess Medical Center (BIDMC), considered to be on the forefront of PHR adoption. A medical center, whose CIO, John Halamka is known as a national figure. If anything, you could expect BIDMC to be THE place where everything is figured out.

Yet, once Dave imported the records he found their accuracy (or lack thereof) nothing less than appalling. His detailed report (Imagine someone had been managing your data, and then you looked) as of today gathered 115 impassioned comments, most of them expressing shock, outrage and disbelief. Read his post and comments if you want details, but the basic problem was that his records were created based on the billing codes instead of clinical classifications. This resulted in widely exaggerated diagnoses, several bogus alerts and of course lack of actually useful information and data.

The only surprise to me is that people are surprised

These medical records have not been populated for the patient. Anything that gets written into the record goes there for a reason. Getting clinicians paid is one of them. Helping them reduce legal liability is another one. Minimizing their time spent on activities that do not result is getting paid (thus draining institutional resources) is right there. There is no incentive in the system to produce an accurate clinical record that could reduce reimbursement, increase demands from the patient and perhaps even help provide documentation for a lawsuit.

Of course, nobody would speak up against patient empowerment, but absent systemic incentives to provide accurate records, how can you expect them to happen. BIDMC has a huge incentive to become a national showcase for PHR implementation and generate positive PR, but this might not be a strong enough economic incentive to revamp record keeping. Even then, they would have to overcome the motivations of clinicians that can be hardly expected to generate extended documentation that does not get them paid. Instead they can and will focus on adjusting the documentation to maximize reimbursement.

The idea of PHR lacks economic alignment of incentives

Every now and then we hear comparisons between healthcare and banking. If banks could automate download of financial statements, the thinking goes, why not healthcare institutions. The trouble with the analogy is there is no separation between "financial" and "clinical" views of the data in banking. There is no incentive to manipulate it to maximize reimbursement. There is not much complexity in data and ways tangle it up. If data model is simple automation is a cinch.

Medical data structures are anything but simple

Many ways to describe and code the same condition and procedure. Reliance of human judgment for making these decisions. Financial and professional interests, riding on such determinations - including reimbursement and liability. The knack of this data to have limited shelf life when it is useful. Lack of incentives for accurate record-keeping and in turn lack of confidence in the data by its users - both clinicians and patients. You could have too little data which you might consider not useful enough. Or too much which you might not trust. Or you might trust it but regret it later. Is there anyone who has both means and motivations to work to keep PHRs accurate? If even BIDMC and Google are producing such dismal results after years of trying, my answer would be: HIGHLY UNLIKELY.

PHR industry is built on the premise of accurate and complete patient records. I do not see this happening beyond most basic applications.

Trackbacks (0)

The URI to TrackBack this entry is: http://trusted.md/trackback/73887

Comments (2)

Submitted by Steve Beller PhD on Tue, 04/28/2009 - 7:23am.

A great deal more can be done to make PHR data much more reliable and useful, such as:

  • Reconciliation. Just like the reconciliation of one’s checkbook and the bank statement can identify errors, reconciling the data in a provider’s EHR and the patient’s PHR is important. This can be done by the software by clearly revealing discrepancies.
  • Cross-validation. That is, making sure the data in a PHR “make sense” by having the software examine data that are related, determining if the nature of the relationship is within normal ranges, and providing alerts when things are “out of whack.” For example, if a person’s signs or symptoms are not consistent with one’s diagnosis or prescribed medications, then the related data are suspect.
  • Timeliness. If the PHR contains “old” data about one’s sign and symptoms, diagnoses, medications, procedures, inoculations, etc. have not been updated for a while, the person should be prompted by the PHR to review and update if necessary. This would require the establishment of rules for different types of data that are used to determine when the data had “aged” excessively.
  • Completeness. If any crucial data are missing, there’s likely to be a problem. The PHR should have rules that identify complete data sets for particular patient types based on one’s age, gender, condition, etc. The person should be notified by the software if essential data are missing.

Steve Beller, PhD
http://curinghealthcare.blogspot.com

Submitted by hippocrates on Tue, 04/28/2009 - 9:40pm.

Steve,

No doubt all things you are suggesting can be done.

The question is can they be done cost-effectively, who will do them and do these people have the right incentives to do them. Finally, whether all these things will be done fully or left somewhere halfway. Half-reconciled record in many cases would be pretty worthless.

In my view, the stars are just not aligning to make this happen for comprehensive PHR records on a large enough scale. While technology tools and data standards could be developed, creating the right incentives is the hardest thing - which makes me doubt the outcome.

Having said that, I believe there could be many narrow PHR applications, that rely on small subsets of data, quality of which can be ensured. For example if I can download readings from my glucose monitoring device to share and graph, this could be one such useful app.

However, PHR is usually sold as be-all-end-all, resulting in EPIC FAIL.

Post new comment

[?]
The content of this field is kept private and will not be shown publicly.
Captcha Image: you will need to recognize the text in it.
[?]
Please type in the letters/numbers that are shown in the image above.

User login