Electronic health records improve clinical note quality

被引:43
|
作者
Burke, Harry B. [1 ]
Sessums, Laura L. [1 ]
Hoang, Albert [1 ]
Becher, Dorothy A. [1 ]
Fontelo, Paul [2 ]
Liu, Fang [2 ]
Stephens, Mark [3 ]
Pangaro, Louis N. [1 ]
O'Malley, Patrick G. [1 ]
Baxi, Nancy S. [4 ]
Bunt, Christopher W. [3 ]
Capaldill, Vincent F. [4 ]
Chen, Julie M. [4 ]
Cooper, Barbara A. [4 ]
Djuric, David A. [5 ]
Hodge, Joshua A. [5 ]
Kane, Shawn [4 ]
Magee, Charles [1 ]
Makary, Zizette R. [4 ]
Mallory, Renee M. [4 ]
Miller, Thomas [3 ]
Saperstein, Adam [3 ]
Servey, Jessica [3 ]
Gimbel, Ronald W. [6 ]
机构
[1] Uniformed Serv Univ Hlth Sci, Dept Med, Bethesda, MD 20814 USA
[2] Natl Lib Med, NIH, Bethesda, MD USA
[3] Uniformed Serv Univ Hlth Sci, Dept Family, Bethesda, MD 20814 USA
[4] Walter Reed Natl Mil Med Ctr, Internal Med Serv, Bethesda, MD USA
[5] Ft Belvoir Community Hosp, Ft Belvoir, VA USA
[6] Clemson Univ, Dept Publ Hlth Sci, Clemson, SC USA
关键词
QNOTE; electronic health record; clinical quality; clinical note; note quality; DOCUMENTATION; CARE; MILITARY; PERCEPTIONS; GENERATION; DIAGNOSES; ACCURACY;
D O I
10.1136/amiajnl-2014-002726
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background and objective The clinical note documents the clinician's information collection, problem assessment, clinical management, and its used for administrative purposes. Electronic health records (EHRs) are being implemented in clinical practices throughout the USA yet it is not known whether they improve the quality of clinical notes. The goal in this study was to determine if EHRs improve the quality of outpatient clinical notes. Materials and methods A five and a half year longitudinal retrospective multicenter quantitative study comparing the quality of handwritten and electronic outpatient clinical visit notes for 100 patients with type 2 diabetes at three time points: 6 months prior to the introduction of the EHR (before-EHR), 6 months after the introduction of the EHR (after-EHR), and 5 years after the introduction of the EHR (5-year-EHR). QNOTE, a validated quantitative instrument, was used to assess the quality of outpatient clinical notes. Its scores can range from a low of 0 to a high of 100. Sixteen primary care physicians with active practices used QNOTE to determine the quality of the 300 patient notes. Results The before-EHR, after-EHR, and 5-year-EHR grand mean scores (SD) were 52.0 (18.4), 61.2 (16.3), and 80.4 (8.9), respectively, and the change in scores for before-EHR to after-EHR and before-EHR to 5-year-EHR were 18% (p<0.0001) and 55% (p<0.0001), respectively. All the element and grand mean quality scores significantly improved over the 5-year time interval. Conclusions The EHR significantly improved the overall quality of the outpatient clinical note and the quality of all its elements, including the core and non-core elements. To our knowledge, this is the first study to demonstrate that the EHR significantly improves the quality of clinical notes.
引用
下载
收藏
页码:199 / 205
页数:7
相关论文
共 50 条
  • [21] Electronic Health Records and Ambulatory Quality of Care
    Lisa M. Kern
    Yolanda Barrón
    Rina V. Dhopeshwarkar
    Alison Edwards
    Rainu Kaushal
    Journal of General Internal Medicine, 2013, 28 : 496 - 503
  • [22] Electronic Health Records and Quality of Diabetes Care
    Koppel, Ross
    Majumdar, Sumit R.
    Soumerai, Stephen B.
    NEW ENGLAND JOURNAL OF MEDICINE, 2011, 365 (24): : 2338 - 2339
  • [23] Electronic Health Records and Quality of Diabetes Care
    Cebul, Randall D.
    Love, Thomas E.
    Jain, Anil K.
    Hebert, Christopher J.
    NEW ENGLAND JOURNAL OF MEDICINE, 2011, 365 (09): : 825 - 833
  • [24] Electronic Health Records and Ambulatory Quality of Care
    Kern, Lisa M.
    Barron, Yolanda
    Dhopeshwarkar, Rina V.
    Edwards, Alison
    Kaushal, Rainu
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2013, 28 (04) : 496 - 503
  • [25] Integration of genetic and clinical information to improve imputation of data missing from electronic health records
    Li, Ruowang
    Chen, Yong
    Moore, Jason H.
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (10) : 1056 - 1063
  • [26] Clinical Databases: Electronic Health Records and Repositories
    McCartney, Patricia Robin
    MCN-THE AMERICAN JOURNAL OF MATERNAL-CHILD NURSING, 2013, 38 (03) : 186 - 186
  • [27] Electronic health records to facilitate clinical research
    Cowie, Martin R.
    Blomster, Juuso I.
    Curtis, Lesley H.
    Duclaux, Sylvie
    Ford, Ian
    Fritz, Fleur
    Goldman, Samantha
    Janmohamed, Salim
    Kreuzer, Joerg
    Leenay, Mark
    Michel, Alexander
    Ong, Seleen
    Pell, Jill P.
    Southworth, Mary Ross
    Stough, Wendy Gattis
    Thoenes, Martin
    Zannad, Faiez
    Zalewski, Andrew
    CLINICAL RESEARCH IN CARDIOLOGY, 2017, 106 (01) : 1 - 9
  • [28] ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making
    Linhares, Claudio D. G.
    Lima, Daniel M.
    Ponciano, Jean R.
    Olivatto, Mauro M.
    Gutierrez, Marco A.
    Poco, Jorge
    Traina Jr, Caetano
    Traina, Agma J. M.
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 29 (10) : 4031 - 4046
  • [29] Leveraging electronic health records for clinical research
    Raman, Sudha R.
    Curtis, Lesley H.
    Temple, Robert
    Andersson, Tomas
    Ezekowitz, Justin
    Ford, Ian
    James, Stefan
    Marsolo, Keith
    Mirhaji, Parsa
    Rocca, Mitra
    Rothman, Russell L.
    Sethuraman, Barathi
    Stockbridge, Norman
    Terry, Sharon
    Wasserman, Scott M.
    Peterson, Eric D.
    Hernandez, Adrian F.
    AMERICAN HEART JOURNAL, 2018, 202 : 13 - 19
  • [30] Clinical Trials and Electronic Health Records.
    Chen, J.
    Bhattachrya, S.
    Sirota, M.
    Sarwal, M.
    Butte, A.
    AMERICAN JOURNAL OF TRANSPLANTATION, 2018, 18 : 872 - 872