Literature DB >> 8948279

Radical improvements in the display of clinical microbiology results: a Web-based clinical information system.

K E Willard1, D P Connelly, J R Johnson.   

Abstract

OBJECTIVE: To evaluate the performance of a novel computerized system for reporting clinical microbiology results. The new system provides a summarized overview of a patient's current (or past) microbiological status, with the option to selectively explore in greater depth. It is deployed using World Wide Web technology, which supports virtually any kind of computer and allows physicians to obtain results via the internet using personal computers in the office or at home.
METHODS: In an unblinded crossover study at a university-affiliated medical center, participants used both the new system and a conventional display system to retrieve selected microbiology results for two actual patients, according to standardized questionnaires, with balanced allocation of sequence of system use. Participants also subjectively rated the two systems. The participants were 16 physician, pharmacist, and nurse volunteers. Outcome measures included completion time and number of errors (categorized as major and minor) associated with results retrieval, and participants' ratings of the new system.
RESULTS: Mean completion time was 45% shorter (13.9 versus 25.5 minutes; P < 0.001), and there were fewer associated major errors (0 versus 13; P = 0.01) and minor errors (10 versus 21; P = 0.003) with the summarized display system. All participants rated the new system as easier to learn and use than the conventional system.
CONCLUSIONS: A system that appropriately summarizes and groups microbiology results can significantly shorten retrieval times and reduce interpretive errors, while providing users with information needed for cost-effective therapy. Such a system can be deployed by leveraging the rapidly evolving technology of the World Wide Web.

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Year:  1996        PMID: 8948279     DOI: 10.1016/s0002-9343(96)00253-7

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  9 in total

1.  Development of a Web-based clinical information system for surveillance of multiresistant organisms and nosocomial infections.

Authors:  S Bouam; E Girou; C Brun-Buisson; E Lepage
Journal:  Proc AMIA Symp       Date:  1999

2.  Providing concept-oriented views for clinical data using a knowledge-based system: an evaluation.

Authors:  Qing Zeng; James J Cimino; Kelly H Zou
Journal:  J Am Med Inform Assoc       Date:  2002 May-Jun       Impact factor: 4.497

Review 3.  An industrial process view of information delivery to support clinical decision making: implications for systems design and process measures.

Authors:  R B Elson; J G Faughnan; D P Connelly
Journal:  J Am Med Inform Assoc       Date:  1997 Jul-Aug       Impact factor: 4.497

4.  Structured representation of the pharmacodynamics section of the summary of product characteristics for antibiotics: application for automated extraction and visualization of their antimicrobial activity spectra.

Authors:  Catherine Duclos; Gian Luigi Cartolano; Michael Ghez; Alain Venot
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

5.  Extensible Stylesheet Language Formatting Objects (XSL-FO): a tool to transform patient data into attractive clinical reports.

Authors:  Linas Simonaitis; Anne Belsito; Jeff Warvel; Siu Hui; Clement J McDonald
Journal:  AMIA Annu Symp Proc       Date:  2006

6.  The impact of anticipatory patient data displays on physician decision making: a pilot study.

Authors:  R B Elson; D P Connelly
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

7.  Clinical Data Visualization: The Current State and Future Needs.

Authors:  Jonathan P Wanderer; Sara E Nelson; Jesse M Ehrenfeld; Shelby Monahan; Soojin Park
Journal:  J Med Syst       Date:  2016-10-27       Impact factor: 4.460

Review 8.  Clinical microbiology informatics.

Authors:  Daniel D Rhoads; Vitali Sintchenko; Carol A Rauch; Liron Pantanowitz
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

9.  Utilization of electronic medical records to build a detection model for surveillance of healthcare-associated urinary tract infections.

Authors:  Yu-Sheng Lo; Wen-Sen Lee; Chien-Tsai Liu
Journal:  J Med Syst       Date:  2013-01-17       Impact factor: 4.460

  9 in total

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