Annotated Bibliography

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Recommended: Brief summary of implementation of electronic health records

Meredith Renae Clark BSN, RN, GNP-BC, APNP
Instructor: Rose Giannini
Health Care Technology, Informatics, and Professional Issues
February 5th, 2014
Electronic Health Record and Public Health Safety: An Annotated Bibliography
Adler-Milstein, J. (2013). The Impact of Electronic Health Records on Ambulatory Costs Among Medicaid Beneficiaries. Medicare & Medicaid Research Review, 3(2), E1.doi:10.5600/mmrr.003.02.a03 (I think there were multiple contributing authors?)
The researchers, University of Michigan, Partners in HealthCare, and Eastern research Group, investigated a pilot site of Electronic Health Record (EHR) in Massachusetts of the cost saving towards ambulatory health care setting. With three pilot sites and two sites per pilot site as control groups, an increase of ambulatory medical costs in the pilot sites increased more slowly post implementation of EHR than the control sites. Article targeted population is Center of Medicaid & Medicare and HITECH. The limitations of the EHR trial is with the allocation of community sites, matching control to pilot groups, demographics of population and demographics of medical staff.
Calman, N. (2012). Strengthening Public Health and Primary Care Collaboration Through Electronic Health Records. American Journal of Public Health, 102(11), e13. doi:10.2105/AJPH.2012.301000 (again, multiple authors who contributed, should be in citation)
The article assessed the potential of the EHR with collaboration of the primary medical physician’s towards public health safety. The EHR increases the improvement towards quicker assessment and treatment of acute infectious disease. But also monitor the increase of chronic diseases and predicting which patient’s are susceptible for chronic disea...

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...C. W. (2014). Estimating Wisconsin Asthma Prevalence Using Clinical Electronic Health Records and Public Health Data. American Journal of Public Health, 104(1), e65. doi:10.2105/AJPH.2013.301396
The hypothesis of this research article is the EHR is able to estimate the prevalence of asthma compared to the Behavioral Risk Factor Surveillance System phone survey used by many states. The population was the state of Wisconsin and targeted towards health care researchers and HITECH of the efficacy of the EHR. The result of the EHR has a higher source of data for estimating asthma in the population than the traditional phone survey. EHR showed the reversal of male young adult patients and higher prevalence of diagnosis in young women as predicted by the Behavioral Risk Factor Surveillance. The targeted audience is EHR implementers, public safety, and medical community.

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