Assessing payer perspectives on health information exchange

Falling short: how state laws can address health information exchange barriers and enablers

Objective

Research on the implementation of health information exchange (HIE) organizations has identified both positive and negative effects of laws relating to governance, incentives, mandates, sustainability, stakeholder participation, patient engagement, privacy, confidentiality, and security. We fill a substantial research gap by describing whether comprehensive state and territorial HIE legal frameworks address identified legal facilitators and barriers.

Materials and Methods

We used the Westlaw database to identify state and territorial laws relating to HIEs in effect on June 7, 2016 (53 jurisdictions). We blind-coded all laws and addressed coding discrepancies in peer-review meetings. We recorded a consensus code for each law in a master database. We compared 20 HIE legal attributes with identified barriers to and enablers of HIE activity in the literature.

Results

Forty-two states, the District of Columbia, and 2 territories have laws relating to HIEs. On average, jurisdictions address 8.32 of the 20 criteria selected in statutes and regulations. Twenty jurisdictions unambiguously address ≤5 criteria in statutes and regulations. None of the significant legal criteria are unambiguously addressed in >60% of the 53 jurisdictions.

Discussion

Laws can be barriers to or enablers of HIEs. However, jurisdictions are not addressing many significant issues identified by researchers. Consequently, there is a substantial risk that existing legal frameworks are not adequately supporting HIEs.

Conclusion

The current evidence base is insufficient for comparative assessments or impact rankings of the various factors. However, the detailed Centers for Disease Control and Prevention dataset of HIE laws could enable investigations into the types of laws that promote or impede HIEs.

Mind the gap: the potential of alternative health information exchange

OBJECTIVES

To determine the proportion of patient transitions that could be connected through 3 proprietary alternatives to open, community-based health information exchange (HIE): HIE between physicians who are part of the same integrated system, use the same electronic health record (EHR), or use an EHR that participates in an EHR vendor alliance.

STUDY DESIGN

Cross-sectional analysis of Medicare patient transitions and physician EHR adoption and organizational affiliation from SK&A.

METHODS

We characterized the percentage of transitions that could be covered by each HIE approach and the degree of redundancy. We then assessed whether coverage opportunities differed by provider type and used multivariate linear regression to estimate the association between physician characteristics and proportion of transitions uncovered by any proprietary approach (ie, requiring an open HIE approach).

RESULTS

Given current EHR adoption and organizational affiliations, 33% of transitions could be covered by proprietary HIE. For the average physician, open methods of HIE would still be needed for 45% of patients treated by other physicians. Physicians who did not use a market-leading EHR, were not members of a large integrated system, and shared patients with a broader network of physicians have the greatest need for open HIE.

CONCLUSIONS

Proprietary approaches to HIE do not eliminate the need for open HIE and may further disadvantage providers in small healthcare organizations using less common EHRs. Ongoing support and innovative value creation within open HIE will likely remain necessary to support HIE by independent physicians. Public efforts to promote interoperability should seek to integrate proprietary models with open HIE.

The Number Of Health Information Exchange Efforts Is Declining, Leaving The Viability Of Broad Clinical Data Exchange Uncertain

The diffusion of health information exchange (HIE), in which clinical data are electronically linked to patients in many different care settings, is a top priority for policy makers. To drive HIE, community and state efforts were federally funded to broadly engage providers in exchanging data in ways that improved patient care. To assess the current landscape, we conducted a national survey of community and state HIE efforts soon after federal funding ended. We found 106 operational HIE efforts that, as a group, engaged more than one-third of all US providers in 2014. However, the number of operational HIE efforts is down from 119 in 2012, representing the first decline observed since the tracking of these efforts began in 2006. Only half of operational efforts reported being financially viable, and all efforts reported a variety of barriers to continuation. These findings raise important questions about whether the current vision for HIE efforts will allow for the broad exchange of clinical data, or whether alternative approaches would be more successful.

Review of successful hospital readmission reduction strategies and the role of health information exchange

CONTEXT

The United States has invested substantially in technologies that enable health information exchange (HIE), which in turn can be deployed to reduce avoidable hospital readmission rates in many communities. With avoidable hospital readmissions as the primary focus, this study profiles successful hospital readmission rate reduction initiatives that integrate HIE as a strategy. We hypothesized that the use of HIE is associated with decreased hospital readmissions beyond other observed population health benefits. Results of this systematic review are used to describe and profile successful readmission reduction programs that integrate HIE as a tool.

METHODS

A systematic review of literature provided an understanding of the use of HIE as a strategy to reduce hospital readmission rates. We conducted a review of 4,862 citations written in English about readmission reduction strategies from January 2006 to September 2016 in the MEDLINE-PubMed database. Of these, 106 studies reported 30-day readmission rates as an outcome and only 13 articles reported using HIE.

RESULTS

Only a very small number (12%) of hospitals incorporated HIE as a primary tool for evidence-based readmission reduction initiatives. Information exchange between providers has been suggested to play a key role in reducing avoidable readmission rates, yet there is not currently evidence supporting current HIE-enabled readmission initiatives. Most successful readmission reduction programs demonstrate collaboration with primary care providers to augment transitions of care to existing care management functions without additional staff while using effective information exchange capabilities.

CONCLUSIONS

This research confirms there is very little integration of HIE into health systems readmissions initiatives. There is a great opportunity to achieve population health targets using the HIE infrastructure. Hospitals should consider partnering with primary care clinics to implement multifaceted transitions of care programs to significantly reduce 30-day readmission rates.

Health Information Exchange in US Hospitals: The Current Landscape and a Path to Improved Information Sharing

Electronic health information exchange (HIE) was a foundational goal of the 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act, but 7 years later we are far from a nationally interoperable health system. Connected electronic health records have the potential to enable fast access to a wealth of clinical data and can deliver a solution to the highly fragmented US healthcare system. In this review, we present a history and background of HIE, including its potential to deliver significant cost savings to the healthcare system. We examine the key components of HIE, including exchanges, the mechanism, and options available to providers. Health information exchange faces significant challenges, ranging from technical issues to lack of a clear goal, but continued policy initiatives and new technologies represent a promising path to providing clinicians with routine, electronic patient data. Journal of Hospital Medicine 2017;12:193-198.