- Futureproofing Healthcare with Converged Medical Infrastructure
- Beyond the EHR: Seamlessly Connecting Nurses and Physicians Using an EHR-Extender (EHR-e)
- VMware View for Healthcare: Improve Clinician Workflow
- 5 Tips for Successful Patient Identity Management in Government Agencies
- QualSight LASIK Achieves HIPAA Compliance After Attempted Hack
As hospitals and practices form accountable care organizations, they will accelerate their efforts to build healthcare information exchanges and novel analytics that support community-wide lifetime care rather than siloed episodic care, This requires "freeing the data" from the EHRs, hospital information systems, and laboratories in which it resides.
There are two basic ways to analyze data for a panel or population.
1. Send the data from multiple sources to a central repository for analysis.
BIDMC has partnered with the Massachusetts eHealth Collaborative on such an approach to build a quality data center supporting its ACO strategy.
2. Send the question to the data.
The new federal Query Health initiative is a standards-based approach that enables standardized questions to be sent to multiple federated databases without moving the data itself.
In Massachusetts, we've implemented such an architecture in two ways.
I2B2/Shrine which links together the Harvard hospitals (and many other sites nationwide) with query tools supporting clinical trials and clinical research.
MDPHNet, an ONC funded Challenge grant which sends questions to data sources, answering public health questions.
MDPHnet is being developed under contract with the Massachusetts eHealth Institute to implement a secure web-based query tool which enables predefined and ad hoc queries to be sent to participating sites, including selected practices within the Mass League of Community Health Centers and potentially, Atrius Health.
Queries are executed locally, securely returned after optional review, and then presented to the requester and displayed in a variety of ways - heat map, histogram, table etc. Results contain no patient-identifiable data. Data holders control authorization of requesters and their specific query capabilities.
The current focus for predefined reports is syndromic surveillance (Influenza-like illness) and chronic disease surveillance (diabetes). It can also support other uses, such as pharmacovigilance and quality measurement.
MDPHnet uses PopMedNet open source software developed by the Harvard Medical School Department of Population Medicine at the Harvard Pilgrim Health Care Institute, with support from AHRQ and FDA. Lincoln Peak is co-developer.
There is great synergy among i2b2, PopMedNet and MDPHnet, since they use a common architectural approach. Query Health incorporates PopMedNet in its design.
MDPHnet uses the Electronic Health Record Support of Public Health (ESP) common data model. ESP was developed by the HMS/HPHCI Department of Population Medicine with support from a CDC Center for Excellence in Public Health Informatics
The Massachusetts League of Community Health Centers transforms data from their clinical data warehouse into the ESP format. Commonwealth Informatics supports the process as needed. Additional participants will extract data from their EHR and put it into the same schema (ESP) with help from Commonwealth Informatics.
MDPHnet can be readily expanded to cover other datasources such as the I2B2 nodes which are hosted at over 60 sites nationwide.
Over the next few years I believe that for many use cases we will be sending questions to the data instead of sending the data to centralized registries. I2B2, MDPHnet, and Query Health will show us how.