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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedPhillips RL, Jr., Bazemore AW, DeVoe JE
A family medicine health technology strategy for achieving the triple aim for US health care.
To inform the Family Medicine for America's Health (FMAHealth) initiative, this paper explores strategies and tactics that family medicine could pursue to improve the utility of technology for primary care and to help primary care become a leader in rapid development, testing, and implementation of new technologies. These strategies were also designed with a broader stakeholder audience in mind, intending to reach beyond the work being done by FMAHealth.
AHRQ-funded; HS022583.
Citation: Phillips RL, Jr., Bazemore AW, DeVoe JE .
A family medicine health technology strategy for achieving the triple aim for US health care.
Fam Med 2015 Sep;47(8):628-35.
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Keywords: Electronic Health Records (EHRs), Healthcare Delivery, Primary Care, Health Information Technology (HIT)
Jones JB, Weiner JP, Shah NR
The wired patient: patterns of electronic patient portal use among patients with cardiac disease or diabetes.
The researchers described the types and patterns of portal users in an integrated delivery system. They found naturally occurring groups of EHR Web portal users within a population of adult primary care patients with chronic conditions. More than half of the patient cohort exhibited distinct patterns of portal use linked to key features.
AHRQ-funded; HS016228.
Citation: Jones JB, Weiner JP, Shah NR .
The wired patient: patterns of electronic patient portal use among patients with cardiac disease or diabetes.
J Med Internet Res 2015 Feb 20;17(2):e42. doi: 10.2196/jmir.3157..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Primary Care, Healthcare Delivery, Chronic Conditions
Shenvi EC, Meeker D, Boxwala AA
Understanding data requirements of retrospective studies.
This study seeks to characterize the types and patterns of data usage from EHRs for clinical research. It found that studies used an average of 4.46 (range 1–12) data element types in the selection criteria and 6.44 (range 1–15) in the study variables. The most frequently used items (e.g., procedure, condition, medication) are often available in coded form in EHRs.
AHRQ-funded; HS019913.
Citation: Shenvi EC, Meeker D, Boxwala AA .
Understanding data requirements of retrospective studies.
Int J Med Inform 2015 Jan;84(1):76-84. doi: 10.1016/j.ijmedinf.2014.10.004..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Data, Healthcare Delivery