Literature DB >> 322628

On-line computerized data handling system for treating patients with renal disease.

V E Pollak, R Buncher, E R Donovan.   

Abstract

Some patients with renal disease accrue 6,000 to 8,000 individual data items relating to symptoms, signs, laboratory information, and treatment in one year. To deal with the problem of handling so many data items, the following steps were taken: (1) a dictionary of terms peculiar to nephrology was created; (2) manual time-oriented records for nephrology were constructed; and (3) an on-line data processing system, using a PDP-11/70 computer and remote teleprocessing terminal, was developed. On the terminal screen, up to 11 consecutive patient visits can be displayed horizontally, with 18 data items displayed vertically. Up to 30 of the most recent patient visits are easily accessible. For patient treatment, a special feature allows a rearrangement and instantaneous display of any combination of data, thus permitting review of essential feedback relationships between clinical events and treatment.

Entities:  

Mesh:

Year:  1977        PMID: 322628

Source DB:  PubMed          Journal:  Arch Intern Med        ISSN: 0003-9926


  7 in total

Review 1.  Clinical research databases--a historical review.

Authors:  M F Collen
Journal:  J Med Syst       Date:  1990-12       Impact factor: 4.460

2.  Letter from...Chicago. Confusion oriented medical records.

Authors:  G Dunea
Journal:  Br Med J       Date:  1978-06-24

3.  Conversion of manual to total computerized medical records. Experience with selected abstraction.

Authors:  L E Garrett; W W Stead; W E Hammond
Journal:  J Med Syst       Date:  1983-06       Impact factor: 4.460

Review 4.  Quality measurement and control in physician decision making: state of the art.

Authors:  O W Anderson; M C Shields
Journal:  Health Serv Res       Date:  1982       Impact factor: 3.402

5.  Continuous quality improvement in daily clinical practice: a proof of concept study.

Authors:  Jonathan A Lorch; Victor E Pollak
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

6.  The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study.

Authors:  Chang-Chyi Jenq; Cheng-Chieh Hung; Kuo-Chang Juan; Kuang-Hung Hsu
Journal:  Sci Rep       Date:  2017-06-07       Impact factor: 4.379

7.  Effect of electronic patient record use on mortality in End Stage Renal Disease, a model chronic disease: retrospective analysis of 9 years of prospectively collected data.

Authors:  Victor E Pollak; Jonathan A Lorch
Journal:  BMC Med Inform Decis Mak       Date:  2007-11-28       Impact factor: 2.796

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.