Literature DB >> 1807617

Assessing the effectiveness of a computerized blood order "consultation" system.

E F Lepage1, R M Gardner, R M Laub, J T Jacobson.   

Abstract

To optimize blood ordering and accurately assess transfusion practice, in 1987, an "on line" computerized, knowledge-based, blood order critiquing system was integrated into the HELP Hospital Information System (HIS) at LDS Hospital. Evaluations of the computerized ordering system demonstrated its benefits and limitations on transfusion practice. Based on this experience, a second generation blood ordering system using a consultation mode was developed. A pilot test of this blood order consultant system, using historical data in the HELP system's database, was performed. This pilot test demonstrated that the consultation system provided accurate recommendations for red blood cell (RBC) and platelet orders. Comparing the appropriateness of blood orders with the recommendations made by the director of the blood bank, the orders recommended by the computer "consultant" agreed 95.5% of the time. The computer consultation system also recommended fewer RBC units for transfusion. Preliminary results obtained using the consultant approach suggest that we may be able to simplify blood ordering practice and also reduce the number of units of blood products ordered. Based on these findings we are now preparing to compare the "critiquing" and "consultation" approaches using a clinical trial.

Mesh:

Year:  1991        PMID: 1807617      PMCID: PMC2247490     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  6 in total

1.  Computer-critiqued blood ordering using the HELP system.

Authors:  R M Gardner; O K Golubjatnikov; R M Laub; J T Jacobson; R S Evans
Journal:  Comput Biomed Res       Date:  1990-12

2.  ESPRE: a knowledge-based system to support platelet transfusion decisions.

Authors:  B H Sielaff; D P Connelly; E P Scott
Journal:  IEEE Trans Biomed Eng       Date:  1989-05       Impact factor: 4.538

3.  Computer-assisted audits of blood component transfusion.

Authors:  G A Hoeltge; J C Brown; R H Herzig; M R Johannisson; B L Millward; P J O'Hara; J P Orlowski; D E Sharp; A M Zurick
Journal:  Cleve Clin J Med       Date:  1989-05       Impact factor: 2.321

4.  The HELP medical record system.

Authors:  T A Pryor
Journal:  MD Comput       Date:  1988 Sep-Oct

5.  Critiquing anesthetic management: the "ATTENDING" computer system.

Authors:  P L Miller
Journal:  Anesthesiology       Date:  1983-04       Impact factor: 7.892

6.  The HELP system.

Authors:  T A Pryor; R M Gardner; P D Clayton; H R Warner
Journal:  J Med Syst       Date:  1983-04       Impact factor: 4.460

  6 in total
  6 in total

1.  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

Review 2.  Integrating pharmacokinetics into point-of-care information systems.

Authors:  W G Leader; S L Pestotnik; M H Chandler
Journal:  Clin Pharmacokinet       Date:  1996-09       Impact factor: 6.447

3.  Representation of clinical practice guidelines in conventional and augmented decision tables.

Authors:  R N Shiffman
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

Review 4.  The role of medical informatics in telemedicine.

Authors:  T P Clemmer
Journal:  J Med Syst       Date:  1995-02       Impact factor: 4.460

5.  Response to a trial of physician-based inpatient order entry.

Authors:  J M Teich; C D Spurr; S J Flammini; J Schmiz; R F Beckley; J F Hurley; M Aranow; J P Glaser
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

6.  A strategy for developing practice guidelines for the ICU using automated knowledge acquisition techniques.

Authors:  P A de Clercq; J A Blom; A Hasman; H H Korsten
Journal:  J Clin Monit Comput       Date:  1999-02       Impact factor: 2.502

  6 in total

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