Literature DB >> 6381570

Application of a computerized medical decision-making process to the problem of digoxin intoxication.

K S White, A Lindsay, T A Pryor, W F Brown, K Walsh.   

Abstract

A computerized medical decision-making system was used to monitor signs and predisposing factors of digoxin intoxication in patients receiving digoxin. This process automatically reviewed the patient's data base nightly for drug interactions, laboratory data and electrocardiographic findings with known association with digoxin intoxication. These decisions were formated into a "digoxin alert report" and sent to line printers in the nursing division to be placed on the individual patients' charts. To assess the effect of these reports on patient management, a randomized double-blind study was undertaken. Patients were assigned to an alert or nonalert group. Alert reports were withheld from charts of patients in the nonalert group. A medical record review was subsequently carried out, wherein the physician's orders were searched to identify actions taken with possible relation to the digoxin alerts. The computer monitored 396 patients over a 3 month period. Of these, 211 (53%) were randomized to the alert group and 185 (47%) to the nonalert group. Seventy-two percent of patients received at least one alert. The most frequently occurring alerts included: hypoxemia, hypokalemia, concurrent use of a beta-adrenergic blocking agent, renal insufficiency and ventricular arrhythmia. Results from the record review demonstrated a 22% increase in physician actions for the alert group. Specifically, patients in the alert group were 2.7 times more likely to have a serum digoxin determination ordered and 2.8 times more likely to have digoxin withheld on the day of a digoxin alert than were patients in the nonalert group.

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Year:  1984        PMID: 6381570     DOI: 10.1016/s0735-1097(84)80104-7

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  15 in total

1.  Housestaff attitudes toward computer-based clinical decision support.

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2.  Changing doctor prescribing behaviour.

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Journal:  Pharm World Sci       Date:  1999-08

3.  Computer support for determining drug dose: systematic review and meta-analysis.

Authors:  R Walton; S Dovey; E Harvey; N Freemantle
Journal:  BMJ       Date:  1999-04-10

Review 4.  Changing clinical practice through patient specific reminders available at the time of the clinical encounter: systematic review and meta-analysis.

Authors:  Tim A Holt; Margaret Thorogood; Frances Griffiths
Journal:  J Gen Intern Med       Date:  2012-03-10       Impact factor: 5.128

5.  The Columbia Registry of Controlled Clinical Computer Trials.

Authors:  E A Balas; J A Mitchell; K Bopp; G D Brown; B T Ewigman
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

6.  The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt.

Authors:  Randolph A Miller; Lemuel R Waitman; Sutin Chen; S Trent Rosenbloom
Journal:  J Biomed Inform       Date:  2005-10-21       Impact factor: 6.317

7.  Effect of CPOE user interface design on user-initiated access to educational and patient information during clinical care.

Authors:  S Trent Rosenbloom; Antoine J Geissbuhler; William D Dupont; Dario A Giuse; Douglas A Talbert; William M Tierney; W Dale Plummer; William W Stead; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

Review 8.  Computer-based physician order entry: the state of the art.

Authors:  D F Sittig; W W Stead
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

Review 9.  The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials.

Authors:  K Ann McKibbon; Cynthia Lokker; Steven M Handler; Lisa R Dolovich; Anne M Holbrook; Daria O'Reilly; Robyn Tamblyn; Brian J Hemens; Runki Basu; Sue Troyan; Pavel S Roshanov
Journal:  J Am Med Inform Assoc       Date:  2011-08-18       Impact factor: 4.497

10.  A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.

Authors:  David F Lobach; Kensaku Kawamoto; Kevin J Anstrom; Garry M Silvey; Janese M Willis; Fred S Johnson; Rex Edwards; Jessica Simo; Pam Phillips; David R Crosslin; Eric L Eisenstein
Journal:  J Med Syst       Date:  2013-01-13       Impact factor: 4.460

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