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BEYOND EHR SYSTEM BARRIERS: INTEGRATING BIG DATA ANALYTICS

16 December 2017

The purpose of the study is to explore the experiences of developers and users of electronic health or medical record (EHRs/EMRs) systems, and how these experiences impact their perspectives on integrating healthcare analytics. The study explores integrating analytic functionalities at the point-of-care which could assist providers in quickly assessing a patient’s health, in addition to providing greater transparency on population health as required by the Meaningful Use program.

Requirements

  • Internet access
  • Computer with video capability for video conferencing
  • At least 3 years experience with EHR/EMR systems in Florida.
  • The experience is as a user, health IT vendor, or IT support for the EHR/EMR system.
  • Familiarity with the terms healthcare analytics, big data analytics, health informatics or similar terminologies.

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Ethical approval

The research proposal was reviewed and approved by the Institutional Review Board which requires strict adherence to ethical standards in research and the protection of human participants. No HIPAA-regulated Protected Health Information forms part of this research.

About the researcher

I am a doctoral candidate at Colorado Technical University, CO. I am a 19-year military veteran, and I have been a data analyst for approximately 10 years. Afer reviewing research on EHR barriers, I found that much of the research on the challenges encountered with EHR systems focused on the medical care provider. My perspective is that unless these issues are addressed on both sides, advancement of these systems will be hampered. Also as a veteran, I have experienced difficulties encountered in monitoring a soldier's health and capturing common symptoms once transitioned to civilian life. Indicators existed that had they been discovered earlier on, then treatment may have been different or started earlier. I intend to contribute to the healthcare IT field in general by assessing the future of big data technology in the form of healthcare analytics to achieve deeper insight.

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