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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 2 of 2 Research Studies DisplayedGao Y, Nocon RS, Gunter KE
AHRQ Author: Ngo-Metzger Q
Characteristics associated with patient-centered medical home capability in health centers: a cross-sectional analysis.
The patient-centered medical home (PCMH) model is being implemented in health centers (HCs) that provide comprehensive primary care to vulnerable populations. The researchers identified characteristics associated with HCs' PCMH capability. EHR adoption likely played a role in HCs' improvement in PCMH capability. Other factors include a greater number of types of financial performance incentives, more types of hospital-HC affiliations, and state-level support and payment for PCMH activities.
AHRQ-authored; AHRQ-funded; HS000084.
Citation: Gao Y, Nocon RS, Gunter KE .
Characteristics associated with patient-centered medical home capability in health centers: a cross-sectional analysis.
J Gen Intern Med 2016 Sep;31(9):1041-51. doi: 10.1007/s11606-016-3729-8.
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Keywords: Patient-Centered Healthcare, Electronic Health Records (EHRs), Primary Care, Community-Based Practice, Vulnerable Populations
Richesson RL, Sun J, Pathak J
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.
The authors sought to use electronic health records data to advance understanding of disease risk and drug response, and to support the practice of precision medicine on a national scale. They found that machine learning approaches that generate phenotype definitions from patient features and clinical profiles will result in truly computational phenotypes, as it comes from data rather than experts. They suggested that research networks and phenotype developers cooperate to develop methods, collaboration platforms, and data standards that will enable computational phenotyping and modernize biomedical research.
AHRQ-funded; HS023921; HS023077.
Citation: Richesson RL, Sun J, Pathak J .
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.
Artif Intell Med 2016 Jul;71:57-61. doi: 10.1016/j.artmed.2016.05.005.
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Keywords: Data, Electronic Health Records (EHRs), Genetics, Patient-Centered Healthcare