Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming

Background: There is a gap between the abilities and the everyday applications of Computerized Decision Support Systems (CDSSs). This gap is further exacerbated by the different ‘worlds’ between the software designers and the clinician end-users. Software programmers often lack clinical experience w...

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Main Authors: Markos G. Kashiouris, Miloš Miljković, Vitaly Herasevich, Andrew D. Goldberg, Charles Albrecht, III
Format: Article
Language:English
Published: Greater Baltimore Medical Center 2015-02-01
Series:Journal of Community Hospital Internal Medicine Perspectives
Subjects:
Online Access:http://www.jchimp.net/index.php/jchimp/article/view/25793/pdf_20
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author Markos G. Kashiouris
Miloš Miljković
Vitaly Herasevich
Andrew D. Goldberg
Charles Albrecht, III
author_facet Markos G. Kashiouris
Miloš Miljković
Vitaly Herasevich
Andrew D. Goldberg
Charles Albrecht, III
author_sort Markos G. Kashiouris
collection DOAJ
description Background: There is a gap between the abilities and the everyday applications of Computerized Decision Support Systems (CDSSs). This gap is further exacerbated by the different ‘worlds’ between the software designers and the clinician end-users. Software programmers often lack clinical experience whereas practicing physicians lack skills in design and engineering. Objective: Our primary objective was to evaluate the performance of Metabolic Irregularities Narrowing down Device (MIND) intelligent medical calculator and differential diagnosis software through end-user surveys and discuss the roles of CDSS in the inpatient setting. Setting: A tertiary care, teaching community hospital. Study participants: Thirty-one responders answered the survey. Responders consisted of medical students, 24%; attending physicians, 16%, and residents, 60%. Results: About 62.5% of the responders reported that MIND has the ability to potentially improve the quality of care, 20.8% were sure that MIND improves the quality of care, and only 4.2% of the responders felt that it does not improve the quality of care. Ninety-six percent of the responders felt that MIND definitely serves or has the potential to serve as a useful tool for medical students, and only 4% of the responders felt otherwise. Thirty-five percent of the responders rated the differential diagnosis list as excellent, 56% as good, 4% as fair, and 4% as poor. Discussion: MIND is a suggesting, interpreting, alerting, and diagnosing CDSS with good performance and end-user satisfaction. In the era of the electronic medical record, the ongoing development of efficient CDSS platforms should be carefully considered by practicing physicians and institutions.
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spelling doaj.art-31d8c35bf37c4e308725eaba286734682023-01-02T23:42:55ZengGreater Baltimore Medical CenterJournal of Community Hospital Internal Medicine Perspectives2000-96662015-02-01511910.3402/jchimp.v5.2579325793Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programmingMarkos G. Kashiouris0Miloš Miljković1Vitaly Herasevich2Andrew D. Goldberg3Charles Albrecht, III4Internal Medicine Residency Program, Sinai Hospital of Baltimore, Baltimore, MD, USAInternal Medicine Residency Program, Sinai Hospital of Baltimore, Baltimore, MD, USADivision of Anesthesiology, Mayo Clinic College of Medicine, Rochester, MN, USADivision of Emergency Medicine, Oregon Health & Sciences University, Portland, OR, USAInternal Medicine Residency Program, Sinai Hospital of Baltimore, Baltimore, MD, USABackground: There is a gap between the abilities and the everyday applications of Computerized Decision Support Systems (CDSSs). This gap is further exacerbated by the different ‘worlds’ between the software designers and the clinician end-users. Software programmers often lack clinical experience whereas practicing physicians lack skills in design and engineering. Objective: Our primary objective was to evaluate the performance of Metabolic Irregularities Narrowing down Device (MIND) intelligent medical calculator and differential diagnosis software through end-user surveys and discuss the roles of CDSS in the inpatient setting. Setting: A tertiary care, teaching community hospital. Study participants: Thirty-one responders answered the survey. Responders consisted of medical students, 24%; attending physicians, 16%, and residents, 60%. Results: About 62.5% of the responders reported that MIND has the ability to potentially improve the quality of care, 20.8% were sure that MIND improves the quality of care, and only 4.2% of the responders felt that it does not improve the quality of care. Ninety-six percent of the responders felt that MIND definitely serves or has the potential to serve as a useful tool for medical students, and only 4% of the responders felt otherwise. Thirty-five percent of the responders rated the differential diagnosis list as excellent, 56% as good, 4% as fair, and 4% as poor. Discussion: MIND is a suggesting, interpreting, alerting, and diagnosing CDSS with good performance and end-user satisfaction. In the era of the electronic medical record, the ongoing development of efficient CDSS platforms should be carefully considered by practicing physicians and institutions.http://www.jchimp.net/index.php/jchimp/article/view/25793/pdf_20computerized decision support systemsmedical calculatordifferential diagnosis software
spellingShingle Markos G. Kashiouris
Miloš Miljković
Vitaly Herasevich
Andrew D. Goldberg
Charles Albrecht, III
Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming
Journal of Community Hospital Internal Medicine Perspectives
computerized decision support systems
medical calculator
differential diagnosis software
title Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming
title_full Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming
title_fullStr Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming
title_full_unstemmed Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming
title_short Description and pilot evaluation of the Metabolic Irregularities Narrowing down Device software: a case analysis of physician programming
title_sort description and pilot evaluation of the metabolic irregularities narrowing down device software a case analysis of physician programming
topic computerized decision support systems
medical calculator
differential diagnosis software
url http://www.jchimp.net/index.php/jchimp/article/view/25793/pdf_20
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