HealthLawProf Blog

Pit Crews with Computers: Can Health Information Technology Fix Fragmented Care?

I recently posted a new piece that uses technology as a lens for examining some of the fragmentation and coodination problems exhibited by the healthcare system. Here's the abstract.

Fragmentation and lack of coordination remain as some of the most intractable problems facing health care. Attention has often alighted on the promise of Health care Information Technology not least because IT has had such positive impact on many other personal, professional and industrial domains. For at least two decades the HIT-panacea narrative has been persistent even though the context has shifted. At various times we have been promised that patient safety technologies would solve our medical error problems, electronic transactions would simplify healthcare administration and insurance and clinical data would become interoperable courtesy of electronic medical records. Today the IoM is positioning HIT at the center of its new “continuously learning” health care model that is in large part aimed at solving our fragmentation and lack of coordination problems. While the consensus judgment that HIT can reduce fragmentation and increase coordination has intuitive force the specifics are more complicated. First, the relationship between health care and IT has been both culturally and financially complex. Second, HIT has been overhyped as a solution for all of health care’s woes; it has its own problems. Third, the HIT-fragmentation solution presents a chicken-and-egg problem — can HIT solve health care fragmentation and lack of coordination problems or must health care problems such as episodic care be solved prior to successful deployment of HIT? The article takes a critical look at both health care and HIT with those questions in mind before concluding with some admittedly difficult recommendations designed to break the chicken-and-egg deadlock.

Chilling Thoughts from Chilmark about Data Analytics and Patients

Chilmark Research produces evidence-based reports of health IT and market trends in the health IT industry.

A recently issued Chilmark report, 2013 Clinical Analytics for Population Health Market Trends Report, which I have not read because it costs $4500, details the conflicting interests of clinicians and payers with respect to insights gleaned from data analytics.  The hope of EHRs in combination with data analytics is better patient health, for example through alerts about needed preventive measures or care management strategies.  But different payment may reimburse categories of care differently--so a diabetic covered by one type of payment structure might get reminders when her counterpart with different coverage might not.  Even worse, patients whose prognosis is seen as "hopeless" through the predictive lens of analytics might get very different treatment recommendations under cost-conscious reimbursement structures.

Cora Sharma's post on the Chilmark blog details these likely conflicts with chilling precision.

[LPF]