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Tytuł :
The use of electronic health records for recruitment in clinical trials: a mixed methods analysis of the Harmony Outcomes Electronic Health Record Ancillary Study.
Autorzy :
O'Brien EC; Duke Clinical Research Institute, Durham, NC, USA. .; Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Suite 210, Durham, NC, 27701, USA. .
Raman SR; Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Suite 210, Durham, NC, 27701, USA.
Ellis A; Duke Clinical Research Institute, Durham, NC, USA.; UCB, Durham, NC, USA.
Hammill BG; Duke Clinical Research Institute, Durham, NC, USA.; Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Suite 210, Durham, NC, 27701, USA.
Berdan LG; Duke Clinical Research Institute, Durham, NC, USA.
Rorick T; Duke Clinical Research Institute, Durham, NC, USA.
Janmohamed S; GlaxoSmithKline, Durham, NC, USA.
Lampron Z; Duke Clinical Research Institute, Durham, NC, USA.
Hernandez AF; Duke Clinical Research Institute, Durham, NC, USA.; Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
Curtis LH; Duke Clinical Research Institute, Durham, NC, USA.; Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Suite 210, Durham, NC, 27701, USA.
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Źródło :
Trials [Trials] 2021 Jul 19; Vol. 22 (1), pp. 465. Date of Electronic Publication: 2021 Jul 19.
Typ publikacji :
Journal Article; Multicenter Study
MeSH Terms :
Diabetes Mellitus, Type 2*/diagnosis
Diabetes Mellitus, Type 2*/drug therapy
Electronic Health Records*
Asia ; Humans ; North America ; Surveys and Questionnaires
Czasopismo naukowe
Tytuł :
Physicians' perceptions about narrative note sections format and content: A multi-specialty survey.
Autorzy :
Colicchio TK; Informatics Institute, University of Alabama at Birmingham, AL, USA. Electronic address: .
Dissanayake PI; Informatics Institute, University of Alabama at Birmingham, AL, USA.
Cimino JJ; Informatics Institute, University of Alabama at Birmingham, AL, USA.
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Źródło :
International journal of medical informatics [Int J Med Inform] 2021 Jul; Vol. 151, pp. 104475. Date of Electronic Publication: 2021 May 07.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Electronic Health Records*
Physicians*
Documentation ; Humans ; Narration ; Perception
Czasopismo naukowe
Tytuł :
Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis.
Autorzy :
Nesaragi N; Dept. of Electronics & Communication Engineering, National Institute of Technology, Goa, India. Electronic address: .
Patidar S; Dept. of Electronics & Communication Engineering, National Institute of Technology, Goa, India. Electronic address: .
Aggarwal V; School of Industrial Engineering, Purdue University, USA. Electronic address: .
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Źródło :
Computers in biology and medicine [Comput Biol Med] 2021 Jul; Vol. 134, pp. 104430. Date of Electronic Publication: 2021 May 07.
Typ publikacji :
Journal Article
MeSH Terms :
Electronic Health Records*
Sepsis*/diagnosis
Bayes Theorem ; Humans ; Intensive Care Units ; Machine Learning
Czasopismo naukowe
Tytuł :
Comparing Clinical Characteristics of Influenza and Common Coronavirus Infections Using Electronic Health Records.
Autorzy :
Li D; Regeneron Genetics Center, Tarrytown, New York, USA.
Wolk DM; Geisinger Health System, Danville, Pennsylvania, USA.
Cantor MN; Regeneron Genetics Center, Tarrytown, New York, USA.
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Źródło :
The Journal of infectious diseases [J Infect Dis] 2021 Jun 04; Vol. 223 (11), pp. 1879-1886.
Typ publikacji :
Comparative Study; Journal Article; Observational Study
MeSH Terms :
Electronic Health Records*/statistics & numerical data
Coronavirus Infections/*pathology
Influenza, Human/*pathology
Adult ; Age Factors ; Aged ; Coronavirus Infections/mortality ; Hospitalization/statistics & numerical data ; Humans ; Influenza, Human/mortality ; Intensive Care Units/statistics & numerical data ; Middle Aged ; Retrospective Studies ; Risk Factors
Czasopismo naukowe
Tytuł :
Surveillance for probable COVID-19 using structured data in the electronic medical record.
Autorzy :
Burke PC; Department of Infection Prevention, Cleveland Clinic, Cleveland, Ohio.
Shirley RB; Enterprise Quality, Cleveland Clinic, Cleveland, Ohio.
Faiman M; Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio.; Information Technology, Cleveland Clinic, Cleveland, Ohio.
Boose EW; Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio.; Information Technology, Cleveland Clinic, Cleveland, Ohio.
Jones RW; Cleveland Clinic Community Care, Cleveland Clinic, Cleveland, Ohio.
Merlino A; Information Technology, Cleveland Clinic, Cleveland, Ohio.
Gordon SM; Department of Infectious Disease, Cleveland Clinic, Cleveland, Ohio.
Fraser TG; Department of Infectious Disease, Cleveland Clinic, Cleveland, Ohio.
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Źródło :
Infection control and hospital epidemiology [Infect Control Hosp Epidemiol] 2021 Jun; Vol. 42 (6), pp. 781-783. Date of Electronic Publication: 2020 Jul 23.
Typ publikacji :
Letter
MeSH Terms :
Electronic Health Records*/organization & administration
Electronic Health Records*/statistics & numerical data
COVID-19/*diagnosis
Population Surveillance/*methods
COVID-19/epidemiology ; Humans ; Ohio/epidemiology
Opinia redakcyjna
Tytuł :
Implementing Measurement Science for Electronic Health Record Use.
Autorzy :
Melnick ER; Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.; Department of Biostatistics (Health Informatics), Yale School of Public Health, New Haven, Connecticut.
Sinsky CA; American Medical Association, Chicago, Illinois.
Krumholz HM; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
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Źródło :
JAMA [JAMA] 2021 Jun 01; Vol. 325 (21), pp. 2149-2150.
Typ publikacji :
Journal Article
MeSH Terms :
Benchmarking*
Electronic Health Records/*standards
Electronic Health Records/economics ; Electronic Health Records/legislation & jurisprudence ; Female ; Humans ; Male ; Physicians ; Quality Improvement ; Workload
Czasopismo naukowe
Tytuł :
Examining the acceptance of an integrated Electronic Health Records system: Insights from a repeated cross-sectional design.
Autorzy :
Luyten J; Faculty of Business Economics, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium. Electronic address: .
Marneffe W; Faculty of Business Economics, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium. Electronic address: .
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Źródło :
International journal of medical informatics [Int J Med Inform] 2021 Jun; Vol. 150, pp. 104450. Date of Electronic Publication: 2021 Mar 31.
Typ publikacji :
Journal Article
MeSH Terms :
Biomedical Technology*
Electronic Health Records*
Attitude of Health Personnel ; Cross-Sectional Studies ; Hospitals ; Humans ; Technology
Czasopismo naukowe
Tytuł :
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.
Autorzy :
Klann JG; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Estiri H; Laboratory of Computer Science, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Weber GM; Department of Biomedical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Moal B; IAM Unit, Public Health Department , Bordeaux University Hospital, Bordeaux, France.
Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Hong C; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Tan ALM; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Beaulieu-Jones BK; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Castro V; Research Information Science and Computing, Mass General Brigham, Boston, Massachusetts, USA.
Maulhardt T; Institute of Medical Biometry and Statistics, Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Geva A; Department of Anesthesiology, Critical Care, and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA.; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Malovini A; Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
South AM; Section of Nephrology, Department of Pediatrics, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, North Carolina, USA.
Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Omenn GS; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
Ngiam KY; Department of Biomedical Informatics-WisDM, National University Health System, Singapore.
Mandl KD; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Boeker M; Institute of Medical Biometry and Statistics, Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Olson KL; Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Mowery DL; Department of Biostatistics, Epidemiology, and Informatics, Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Follett RW; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Hanauer DA; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Bellazzi R; Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy.
Moore JH; Department of Biostatistics, Epidemiology, and Informatics, Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Loh NW; Division of Critical Care, National University Health System, Singapore.
Bell DS; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Wagholikar KB; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Chiovato L; Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.; Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy.
Tibollo V; Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Rieg S; Division of Infectious Diseases, Department of Medicine II, Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Li ALLJ; National Center for Infectious Diseases, Tan Tock Seng Hospital, Singapore.
Jouhet V; ERIAS-INSERM U1219 BPH, Bordeaux University Hospital, Bordeaux, France.
Schriver E; Data Analytics Center, Penn Medicine, Philadelphia, Pennsylvania, USA.
Xia Z; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Hutch M; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Luo Y; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Brat GA; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Murphy SN; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Research Information Science and Computing , Mass General Brigham, Boston, Massachusetts, USA.
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Corporate Authors :
Consortium for Clinical Characterization of COVID-19 by EHR (4CE) (CONSORTIA AUTHOR)
Źródło :
Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2021 Jul 14; Vol. 28 (7), pp. 1411-1420.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
MeSH Terms :
COVID-19*/classification
Electronic Health Records*
Severity of Illness Index*
Hospitalization ; Humans ; Machine Learning ; Prognosis ; ROC Curve ; Sensitivity and Specificity
Czasopismo naukowe
Tytuł :
Aggregating Electronic Health Record Data for COVID-19 Research-Caveat Emptor.
Autorzy :
Brown JS; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts.
Bastarache L; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Weiner MG; Department of Population Health Sciences, Weill Cornell Medicine, New York, New York.
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Źródło :
JAMA network open [JAMA Netw Open] 2021 Jul 01; Vol. 4 (7), pp. e2117175. Date of Electronic Publication: 2021 Jul 01.
Typ publikacji :
Journal Article; Comment
MeSH Terms :
COVID-19*
Electronic Health Records*
Humans ; SARS-CoV-2
Czasopismo naukowe
Tytuł :
Patient similarity analytics for explainable clinical risk prediction.
Autorzy :
Fang HSA; SingHealth Polyclinics, SingHealth, 167, Jalan Bukit Merah, Connection One, Tower 5, #15-10, Singapore, P.O. 150167, Singapore. .
Tan NC; SingHealth Polyclinics, SingHealth, 167, Jalan Bukit Merah, Connection One, Tower 5, #15-10, Singapore, P.O. 150167, Singapore.; Family Medicine Academic Clinical Programme, SingHealth-Duke NUS Academic Medical Centre, Singapore, Singapore.
Tan WY; Institute of Data Science, National University of Singapore, Singapore, Singapore.
Oei RW; Institute of Data Science, National University of Singapore, Singapore, Singapore.
Lee ML; Institute of Data Science, National University of Singapore, Singapore, Singapore.; School of Computing, National University of Singapore, Singapore, Singapore.
Hsu W; Institute of Data Science, National University of Singapore, Singapore, Singapore.; School of Computing, National University of Singapore, Singapore, Singapore.
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Źródło :
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2021 Jul 01; Vol. 21 (1), pp. 207. Date of Electronic Publication: 2021 Jul 01.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Clinical Decision-Making*
Electronic Health Records*
Humans ; Logistic Models ; Singapore ; Support Vector Machine
Czasopismo naukowe
Tytuł :
Bias in electronic health record-based studies: Seeing the forest for the trees.
Autorzy :
Arterburn D; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Aminian A; Cleveland Clinic, Cleveland, Ohio, USA.
Nissen S; Cleveland Clinic, Cleveland, Ohio, USA.
Schauer P; Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Haneuse S; Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.
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Źródło :
Diabetes, obesity & metabolism [Diabetes Obes Metab] 2021 Jul; Vol. 23 (7), pp. 1692-1693. Date of Electronic Publication: 2021 Apr 28.
Typ publikacji :
Letter
MeSH Terms :
Electronic Health Records*
Humans
Opinia redakcyjna
Tytuł :
An Essential Clinical Dataset Intervention for Nursing Documentation of a Pediatric Admission History Database.
Autorzy :
Horn JJ; Old Dominion University, Norfolk, VA, United States of America; Children's Mercy - Kansas City, Kansas City, MO, United States of America. Electronic address: .
Doucette JN; Old Dominion University, Norfolk, VA, United States of America; Thomas Jefferson University Hospitals, Philadelphia, PA, United States of America.
Sweeney NL; Old Dominion University, Norfolk, VA, United States of America.
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Źródło :
Journal of pediatric nursing [J Pediatr Nurs] 2021 Jul-Aug; Vol. 59, pp. 110-114. Date of Electronic Publication: 2021 Apr 09.
Typ publikacji :
Journal Article
MeSH Terms :
Electronic Health Records*
Nursing Care*
Child ; Documentation ; Humans ; Quality Improvement ; Workflow
Czasopismo naukowe
Tytuł :
The Importance of Electronic Health Record Access For Accurately Completing Drug Regimen Reviews.
Autorzy :
Mehlman KA
Cho V
Meyers TW
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Źródło :
The Senior care pharmacist [Sr Care Pharm] 2021 Jul 01; Vol. 36 (7), pp. 350-356.
Typ publikacji :
Journal Article
MeSH Terms :
Electronic Health Records*
Pharmaceutical Preparations*
Humans ; Medicare ; Medication Reconciliation ; Prospective Studies ; United States
Czasopismo naukowe
Tytuł :
The impact on health outcomes of implementing electronic health records to support the care of older people in residential aged care: A scoping review.
Autorzy :
Dendere R; Center for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia. Electronic address: .
Samadbeik M; Centre for Online Health, The University of Queensland, Brisbane, Australia; Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Janda M; Center for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
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Źródło :
International journal of medical informatics [Int J Med Inform] 2021 Jul; Vol. 151, pp. 104471. Date of Electronic Publication: 2021 Apr 24.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Review
MeSH Terms :
Electronic Health Records*
Pressure Ulcer*
Activities of Daily Living ; Aged ; Humans ; Outcome Assessment, Health Care
Czasopismo naukowe
Tytuł :
Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.
Autorzy :
Nakagami G; Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, Faculty of Medicine, The University of Tokyo, Building 5, 7-3-1, Hongo, Bunkyo-ku, Tokyo 1130033, Japan; Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan.
Yokota S; Department of Healthcare Information Management, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1138655, Japan.
Kitamura A; Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, Faculty of Medicine, The University of Tokyo, Building 5, 7-3-1, Hongo, Bunkyo-ku, Tokyo 1130033, Japan.
Takahashi T; Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan.
Morita K; Department of Health Services Research, Faculty of Medicine, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8575, Japan; Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan.
Noguchi H; Department of Electric information, School of Engineering, Osaka CityUniversity. 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka City, Osaka 558-8585, Japan.
Ohe K; Department of Healthcare Information Management, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1138655, Japan.
Sanada H; Department of Gerontological Nursing/Wound Care Management, Graduate School of Medicine, Faculty of Medicine, The University of Tokyo, Building 5, 7-3-1, Hongo, Bunkyo-ku, Tokyo 1130033, Japan; Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan. Electronic address: .
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Źródło :
International journal of nursing studies [Int J Nurs Stud] 2021 Jul; Vol. 119, pp. 103932. Date of Electronic Publication: 2021 Mar 26.
Typ publikacji :
Journal Article; Observational Study
MeSH Terms :
Activities of Daily Living*
Electronic Health Records*
Hospitals, University ; Humans ; Japan ; Retrospective Studies ; Supervised Machine Learning
Czasopismo naukowe
Tytuł :
Secure Content Distribution with Access Control Enforcement in Named Data Networking.
Autorzy :
Htet Hlaing H; Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Japan.
Funamoto Y; Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Japan.
Mambo M; Institute of Science and Engineering, Kanazawa University, Kanazawa 920-1192, Japan.
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Źródło :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Jun 30; Vol. 21 (13). Date of Electronic Publication: 2021 Jun 30.
Typ publikacji :
Journal Article
MeSH Terms :
Computer Security*
Electronic Health Records*
Confidentiality ; Internet ; Privacy
Czasopismo naukowe
Tytuł :
Electronic health record-integrated approach for collection of patient-reported outcome measures: a retrospective evaluation.
Autorzy :
Horn ME; Division of Physical Therapy, Department of Orthopaedic Surgery, Duke University, 311 Trent Drive, Durham, NC, 27710, USA. .
Reinke EK; Division of Sports Medicine, Department of Orthopaedic Surgery, Duke University, 3475 Erwin Rd, Durham, NC, 27705, USA.
Mather RC; Division of Sports Medicine, Department of Orthopaedic Surgery, Duke University, 3475 Erwin Rd, Durham, NC, 27705, USA.
O'Donnell JD; Duke-Margolis Center for Health Policy, Duke University School of Medicine, Durham, NC, USA.
George SZ; Department of Orthopaedic Surgery and Duke Clinical Research Institute, Duke University, 200 Morris Street, Durham, NC, 27001, USA.
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Źródło :
BMC health services research [BMC Health Serv Res] 2021 Jun 30; Vol. 21 (1), pp. 626. Date of Electronic Publication: 2021 Jun 30.
Typ publikacji :
Journal Article
MeSH Terms :
Electronic Health Records*
Orthopedics*
Humans ; Patient Reported Outcome Measures ; Retrospective Studies
Czasopismo naukowe
Tytuł :
The future of medical scribes documenting in the electronic health record: results of an expert consensus conference.
Autorzy :
Corby S; Division of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239-3098, USA. .
Whittaker K; Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland, OR, USA.
Ash JS; Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland, OR, USA.
Mohan V; Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland, OR, USA.
Becton J; Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland, OR, USA.
Solberg N; Division of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239-3098, USA.
Bergstrom R
Orwoll B; Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland, OR, USA.; Division of Pediatric Critical Care, School of Medicine, Oregon Health and Science University, Portland, OR, USA.
Hoekstra C; Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland, OR, USA.
Gold JA; Division of Pulmonary and Critical Care Medicine, School of Medicine, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, 97239-3098, USA.
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Źródło :
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2021 Jun 29; Vol. 21 (1), pp. 204. Date of Electronic Publication: 2021 Jun 29.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms :
COVID-19*
Electronic Health Records*
Documentation ; Humans ; SARS-CoV-2 ; Workflow
Czasopismo naukowe
Tytuł :
Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China.
Autorzy :
Sun B; Department of Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China.
Zhang F; Department of Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China.
Li J; Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing, 100191, China.
Yang Y; Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100191, China.
Diao X; Department of Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China.
Zhao W; Department of Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China. .
Shu T; National Institute of Hospital Administration, National Health Commission, Building 3, yard 6, Shouti South Road, Haidian, Beijing, 100044, China. .
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Źródło :
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2021 Jun 26; Vol. 21 (1), pp. 199. Date of Electronic Publication: 2021 Jun 26.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Electronic Health Records*
Natural Language Processing*
China ; Feasibility Studies ; Humans ; Semantics
Czasopismo naukowe
Tytuł :
[Research on entity relationship extraction of Chinese medical literature and application in diabetes medical literature].
Autorzy :
Fan Z; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, P.R.China.
He X; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, P.R.China.; Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang 110819, P.R.China.
Liang P; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, P.R.China.
Lu J; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110819, P.R.China.
Kang Y; College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, Guangdong 518118, P.R.China.
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Źródło :
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi [Sheng Wu Yi Xue Gong Cheng Xue Za Zhi] 2021 Jun 25; Vol. 38 (3), pp. 563-573.
Typ publikacji :
Journal Article
MeSH Terms :
Diabetes Mellitus*
Electronic Health Records*
Algorithms ; China ; Humans ; Neural Networks, Computer
Czasopismo naukowe

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