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Generating and Reporting Electronic Clinical Quality Measures from Electronic Health Records: Strategies from EvidenceNOW Cooperatives.
Richardson, Joshua E; Rasmussen, Luke V; Dorr, David A; Sirkin, Jenna T; Shelley, Donna; Rivera, Adovich; Wu, Winfred; Cykert, Samuel; Cohen, Deborah J; Kho, Abel N.
Affiliation
  • Richardson JE; Center for Health Informatics and Evidence Synthesis, RTI International, Chicago, Illinois, United States.
  • Rasmussen LV; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States.
  • Dorr DA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States.
  • Sirkin JT; NORC at the University of Chicago, Cambridge, Massachusetts, United States.
  • Shelley D; Department of Public Health Policy and Management, New York University School of Global Public Health, New York, New York, United States.
  • Rivera A; Institute of Public Health and Management, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States.
  • Wu W; Bureau of Primary Care Information Project, New York City Department of Health and Mental Hygiene, New York, New York, United States.
  • Cykert S; Division of General Medicine and Clinical Epidemiology and the Cecil G. Sheps Center for Health Services Research, the University of North Carolina, Chapel Hill, North Carolina, United States.
  • Cohen DJ; Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, United States.
  • Kho AN; Center for Health Information Partnerships (CHiP), Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States.
Appl Clin Inform ; 13(2): 485-494, 2022 03.
Article in En | MEDLINE | ID: mdl-35508198
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Indicators, Health Care / Electronic Health Records Type of study: Prognostic_studies / Qualitative_research Aspects: Patient_preference Language: En Journal: Appl Clin Inform Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Indicators, Health Care / Electronic Health Records Type of study: Prognostic_studies / Qualitative_research Aspects: Patient_preference Language: En Journal: Appl Clin Inform Year: 2022 Document type: Article Affiliation country: Country of publication: