Literature DB >> 1749339

A computer-based outpatient medical record for a teaching hospital.

C Safran1, C Rury, D M Rind, W C Taylor.   

Abstract

We developed a computer-based outpatient medical record system to facilitate direct physician interaction with the clinical computing system at the Beth Israel Hospital in Boston. During the 2 years since the medical record system was installed, 20 staff physicians, 5 fellows, 64 residents, and 11 nurse practitioners have entered 15,121 active problems and 1996 inactive problems for 3524 patients, as well as 12,651 active medications and 1894 discontinued medications for 3430 patients. Another 20,321 items were entered on health-promotion and disease-prevention screening sheets, and with the help of automatic updating by the computer, an additional 21,897 entries on screening sheets were made for 8686 patients. Clinicians wrote 10.9 +/- 12.8 (mean +/- SD) words per problem when they were working at the computer, as compared with 4.3 +/- 2.5 words per problem when they were writing in the paper medical record. We conclude that physicians will readily enter data directly into a computing system when they are given appropriate tools, and that they consider the computer-based problem list to be a valuable improvement over its paper counterpart. Use of a computer-based medical record system has obvious benefits for data management and patient care.

Entities:  

Mesh:

Year:  1991        PMID: 1749339

Source DB:  PubMed          Journal:  MD Comput        ISSN: 0724-6811


  13 in total

1.  Evaluation of computer-based medical histories taken by patients at home.

Authors:  Warner V Slack; Hollis B Kowaloff; Roger B Davis; Tom Delbanco; Steven E Locke; Charles Safran; Howard L Bleich
Journal:  J Am Med Inform Assoc       Date:  2012-01-11       Impact factor: 4.497

2.  Validation of clinical problems using a UMLS-based semantic parser.

Authors:  H S Goldberg; C Hsu; V Law; C Safran
Journal:  Proc AMIA Symp       Date:  1998

3.  Free-text fields change the meaning of coded data.

Authors:  W R Hogan; M M Wagner
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

4.  Computerized pre-anesthetic evaluation results in additional abstracted comorbidity diagnoses.

Authors:  G L Gibby; D A Paulus; D J Sirota; R W Treloar; K I Jackson; J S Gravenstein; J J van der Aa
Journal:  J Clin Monit       Date:  1997-01

5.  A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record.

Authors:  Adam Wright; Justine Pang; Joshua C Feblowitz; Francine L Maloney; Allison R Wilcox; Harley Z Ramelson; Louise I Schneider; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2011-05-25       Impact factor: 4.497

6.  A computer-based tool for generation of progress notes.

Authors:  K E Campbell; K Wieckert; L M Fagan; M A Musen
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

7.  The efficiency of preoperative evaluation: a comparison of computerized and paper recording systems.

Authors:  K I Jackson; G L Gibby; J J van der Aa; A A Arroyo; J S Gravenstein
Journal:  J Clin Monit       Date:  1994-05

8.  Effect of physician gender on the prescription of estrogen replacement therapy.

Authors:  T B Seto; D A Taira; R B Davis; C Safran; R S Phillips
Journal:  J Gen Intern Med       Date:  1996-04       Impact factor: 5.128

9.  Delays in protease inhibitor use in clinical practice.

Authors:  K M Fairfield; H Libman; R B Davis; D M Eisenberg
Journal:  J Gen Intern Med       Date:  1999-07       Impact factor: 5.128

10.  Outcomes research using the electronic patient record: Beth Israel Hospital's experience with anticoagulation.

Authors:  J S Einbinder; C Rury; C Safran
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.