University Library: MHACB/507: Leveraging Informatics in the Health Sector: Competency 1

Transformation of Care

Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: Using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.
Campion Jr., T. R., Edwards, A. M., Johnson, S. B. et al (2013). Health information exchange system usage patterns in three communities: Practice sites, users, patients, and data. International Journal of Medical Informatics, 82(9), 810-820.
Kim, J. (2017). Big data, health informatics, and the future of cardiovascular medicine. Journal of the American College of Cardiology, 69(7), 899-902.
LaRiviere, J., McAfee, P., Rao, J., Narayanan, V. K., & Sun, W. (2016). Where predictive analytics is having the biggest impact. Harvard Business Review Digital Articles, 2-6.
Marshall, D. A., Burgos-Liz, L., Pasupathy, K. S., et al (2016). Transforming healthcare delivery: Integrating dynamic simulation modelling and big data in health economics and outcomes research. PharmacoEconomics, 34(2), 115-126.
Wang, Y., Kung, L., & Byrd, T. A. (2016). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting & Social Change.

Patient Engagement

Personal Health Information (PHI) and Personal Health Record (PHR)

Patient Engagement

MedBridge and Raintree Systems launch seamless data integration for clients: Clinicians can now utilize patient engagement tools directly form Raintree's EMR. (2016, June 15). PR Newswire, n/a.

Electronic Medical Records (EMRs) and Electronic Health Records (EHRs)

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Healthcare Analytics for Quality and Performance Improvement
ISBN: 9781118760178