Literature DB >> 20951080

The introduction of a diagnostic decision support system (DXplain™) into the workflow of a teaching hospital service can decrease the cost of service for diagnostically challenging Diagnostic Related Groups (DRGs).

Peter L Elkin1, Mark Liebow, Brent A Bauer, Swarna Chaliki, Dietlind Wahner-Roedler, John Bundrick, Mark Lee, Steven H Brown, David Froehling, Kent Bailey, Kathleen Famiglietti, Richard Kim, Ed Hoffer, Mitchell Feldman, G Octo Barnett.   

Abstract

BACKGROUND: In an era of short inpatient stays, residents may overlook relevant elements of the differential diagnosis as they try to evaluate and treat patients. However, if a resident's first principal diagnosis is wrong, the patient's appropriate evaluation and treatment may take longer, cost more, and lead to worse outcomes. A diagnostic decision support system may lead to the generation of a broader differential diagnosis that more often includes the correct diagnosis, permitting a shorter, more effective, and less costly hospital stay.
METHODS: We provided residents on General Medicine services access to DXplain, an established computer-based diagnostic decision support system, for 6 months. We compared charges and cost of service for diagnostically challenging cases seen during the fourth through sixth month of access to DXplain (intervention period) to control cases seen in the 6 months before the system was made available.
RESULTS: 564 cases were identified as diagnostically challenging by our criteria during the intervention period along with 1173 cases during the control period. Total charges were $1281 lower (p=.006), Medicare Part A charges $1032 lower (p=0.006) and cost of service $990 lower (p=0.001) per admission in the intervention cases than in control cases.
CONCLUSIONS: Using DXplain on all diagnostically challenging cases might save our medical center over $2,000,000 a year on the General Medicine Services alone. Using clinical diagnostic decision support systems may improve quality and decrease cost substantially at teaching hospitals.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20951080      PMCID: PMC2977948          DOI: 10.1016/j.ijmedinf.2010.09.004

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  16 in total

1.  Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system.

Authors:  E H Shortliffe; R Davis; S G Axline; B G Buchanan; C C Green; S N Cohen
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2.  Internal medicine resident satisfaction with a diagnostic decision support system (DXplain) introduced on a teaching hospital service.

Authors:  Brent A Bauer; Mark Lee; Larry Bergstrom; Dietlind L Wahner-Roedler; John Bundrick; Scott Litin; Edward Hoffer; Richard J Kim; Kathleen Famiglietti; G Octo Barnett; Peter L Elkin
Journal:  Proc AMIA Symp       Date:  2002

3.  A tool for the computer-assisted creation of QMR medical knowledge base disease profiles.

Authors:  D A Giuse; N B Giuse; R A Miller
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

4.  DXplain. An evolving diagnostic decision-support system.

Authors:  G O Barnett; J J Cimino; J A Hupp; E P Hoffer
Journal:  JAMA       Date:  1987-07-03       Impact factor: 56.272

5.  An artificial intelligence program to advise physicians regarding antimicrobial therapy.

Authors:  E H Shortliffe; S G Axline; B G Buchanan; T C Merigan; S N Cohen
Journal:  Comput Biomed Res       Date:  1973-12

6.  Quick medical reference (QMR) for diagnostic assistance.

Authors:  R Miller; F E Masarie; J D Myers
Journal:  MD Comput       Date:  1986 Sep-Oct

7.  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

8.  Artificial intelligence.

Authors:  E H Shortliffe; B G Buchanan
Journal:  N Engl J Med       Date:  1980-06-26       Impact factor: 91.245

9.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

10.  A computer-assisted medical diagnostic consultation service. Implementation and prospective evaluation of a prototype.

Authors:  R A Bankowitz; M A McNeil; S M Challinor; R C Parker; W N Kapoor; R A Miller
Journal:  Ann Intern Med       Date:  1989-05-15       Impact factor: 25.391

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  19 in total

Review 1.  Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care.

Authors:  Arnaud Belard; Timothy Buchman; Jonathan Forsberg; Benjamin K Potter; Christopher J Dente; Allan Kirk; Eric Elster
Journal:  J Clin Monit Comput       Date:  2016-02-22       Impact factor: 2.502

2.  Reducing risk with clinical decision support: a study of closed malpractice claims.

Authors:  G Zuccotti; F L Maloney; J Feblowitz; L Samal; L Sato; A Wright
Journal:  Appl Clin Inform       Date:  2014-08-20       Impact factor: 2.342

3.  Automatic Decision Support for Clinical Diagnostic Literature Using Link Analysis in a Weighted Keyword Network.

Authors:  Shuqing Li; Ying Sun; Dagobert Soergel
Journal:  J Med Syst       Date:  2017-12-23       Impact factor: 4.460

Review 4.  Integrated precision medicine: the role of electronic health records in delivering personalized treatment.

Authors:  Amy Sitapati; Hyeoneui Kim; Barbara Berkovich; Rebecca Marmor; Siddharth Singh; Robert El-Kareh; Brian Clay; Lucila Ohno-Machado
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-02-16

5.  The Cases for and against Artificial Intelligence in the Medical School Curriculum.

Authors:  Brandon Ngo; Diep Nguyen; Eric vanSonnenberg
Journal:  Radiol Artif Intell       Date:  2022-08-17

6.  Clinical decision support with automated text processing for cervical cancer screening.

Authors:  Kavishwar B Wagholikar; Kathy L MacLaughlin; Michael R Henry; Robert A Greenes; Ronald A Hankey; Hongfang Liu; Rajeev Chaudhry
Journal:  J Am Med Inform Assoc       Date:  2012-04-29       Impact factor: 4.497

7.  A conceptual framework and protocol for defining clinical decision support objectives applicable to medical specialties.

Authors:  Justin W Timbie; Cheryl L Damberg; Eric C Schneider; Douglas S Bell
Journal:  BMC Med Inform Decis Mak       Date:  2012-09-03       Impact factor: 2.796

8.  Formative evaluation of the accuracy of a clinical decision support system for cervical cancer screening.

Authors:  Kavishwar Balwant Wagholikar; Kathy L MacLaughlin; Thomas M Kastner; Petra M Casey; Michael Henry; Robert A Greenes; Hongfang Liu; Rajeev Chaudhry
Journal:  J Am Med Inform Assoc       Date:  2013-04-05       Impact factor: 4.497

Review 9.  Systematic review of clinical decision support interventions with potential for inpatient cost reduction.

Authors:  Christopher L Fillmore; Bruce E Bray; Kensaku Kawamoto
Journal:  BMC Med Inform Decis Mak       Date:  2013-12-17       Impact factor: 2.796

Review 10.  The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis.

Authors:  Nicholas Riches; Maria Panagioti; Rahul Alam; Sudeh Cheraghi-Sohi; Stephen Campbell; Aneez Esmail; Peter Bower
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

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