Literature DB >> 31667818

Towards a Maturity Model for Clinical Decision Support Operations.

Evan W Orenstein1,2, Naveen Muthu3,4, Asli O Weitkamp5, Daria F Ferro3,4, Mike D Zeidlhack6, Jason Slagle5, Eric Shelov3,4, Marc C Tobias6.   

Abstract

Clinical decision support (CDS) systems delivered through the electronic health record are an important element of quality and safety initiatives within a health care system. However, managing a large CDS knowledge base can be an overwhelming task for informatics teams. Additionally, it can be difficult for these informatics teams to communicate their goals with external operational stakeholders and define concrete steps for improvement. We aimed to develop a maturity model that describes a roadmap toward organizational functions and processes that help health care systems use CDS more effectively to drive better outcomes. We developed a maturity model for CDS operations through discussions with health care leaders at 80 organizations, iterative model development by four clinical informaticists, and subsequent review with 19 health care organizations. We ceased iterations when feedback from three organizations did not result in any changes to the model. The proposed CDS maturity model includes three main "pillars": "Content Creation," "Analytics and Reporting," and "Governance and Management." Each pillar contains five levels-advancing along each pillar provides CDS teams a deeper understanding of the processes CDS systems are intended to improve. A "roof" represents the CDS functions that become attainable after advancing along each of the pillars. Organizations are not required to advance in order and can develop in one pillar separately from another. However, we hypothesize that optimal deployment of preceding levels and advancing in tandem along the pillars increase the value of organizational investment in higher levels of CDS maturity. In addition to describing the maturity model and its development, we also provide three case studies of health care organizations using the model for self-assessment and determine next steps in CDS development. Georg Thieme Verlag KG Stuttgart · New York.

Mesh:

Year:  2019        PMID: 31667818      PMCID: PMC6821535          DOI: 10.1055/s-0039-1697905

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  28 in total

1.  Assessing the Safety of Custom Web-Based Clinical Decision Support Systems in Electronic Health Records: A Case Study.

Authors:  Jeritt G Thayer; Jeffrey M Miller; Alexander G Fiks; Linda Tague; Robert W Grundmeier
Journal:  Appl Clin Inform       Date:  2019-04-03       Impact factor: 2.342

2.  Use of order sets in inpatient computerized provider order entry systems: a comparative analysis of usage patterns at seven sites.

Authors:  Adam Wright; Joshua C Feblowitz; Justine E Pang; James D Carpenter; Michael A Krall; Blackford Middleton; Dean F Sittig
Journal:  Int J Med Inform       Date:  2012-07-18       Impact factor: 4.046

3.  Towards a theory of PACS deployment: an integrative PACS maturity framework.

Authors:  Rogier van de Wetering; Ronald Batenburg
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

4.  The Value of Monitoring Clinical Decision Support Interventions.

Authors:  Eileen Yoshida; Shirley Fei; Karen Bavuso; Charles Lagor; Saverio Maviglia
Journal:  Appl Clin Inform       Date:  2018-03-07       Impact factor: 2.342

Review 5.  Clinical decision support models and frameworks: Seeking to address research issues underlying implementation successes and failures.

Authors:  Robert A Greenes; David W Bates; Kensaku Kawamoto; Blackford Middleton; Jerome Osheroff; Yuval Shahar
Journal:  J Biomed Inform       Date:  2017-12-12       Impact factor: 6.317

Review 6.  Work system design for patient safety: the SEIPS model.

Authors:  P Carayon; A Schoofs Hundt; B-T Karsh; A P Gurses; C J Alvarado; M Smith; P Flatley Brennan
Journal:  Qual Saf Health Care       Date:  2006-12

7.  SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients.

Authors:  Richard J Holden; Pascale Carayon; Ayse P Gurses; Peter Hoonakker; Ann Schoofs Hundt; A Ant Ozok; A Joy Rivera-Rodriguez
Journal:  Ergonomics       Date:  2013-10-03       Impact factor: 2.778

Review 8.  Can computerized clinical decision support systems improve practitioners' diagnostic test ordering behavior? A decision-maker-researcher partnership systematic review.

Authors:  Pavel S Roshanov; John J You; Jasmine Dhaliwal; David Koff; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

Review 9.  Computerized clinical decision support systems for drug prescribing and management: a decision-maker-researcher partnership systematic review.

Authors:  Brian J Hemens; Anne Holbrook; Marita Tonkin; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

10.  Analysis of clinical decision support system malfunctions: a case series and survey.

Authors:  Adam Wright; Thu-Trang T Hickman; Dustin McEvoy; Skye Aaron; Angela Ai; Jan Marie Andersen; Salman Hussain; Rachel Ramoni; Julie Fiskio; Dean F Sittig; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2016-03-28       Impact factor: 4.497

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  7 in total

Review 1.  Clinical Decision Support Stewardship: Best Practices and Techniques to Monitor and Improve Interruptive Alerts.

Authors:  Juan D Chaparro; Jonathan M Beus; Adam C Dziorny; Philip A Hagedorn; Sean Hernandez; Swaminathan Kandaswamy; Eric S Kirkendall; Allison B McCoy; Naveen Muthu; Evan W Orenstein
Journal:  Appl Clin Inform       Date:  2022-05-25       Impact factor: 2.762

2.  Nothing for Me or About Me, Without Me: Codesign of Clinical Decision Support.

Authors:  Danny van Leeuwen; Michael Mittelman; Lacy Fabian; Edwin A Lomotan
Journal:  Appl Clin Inform       Date:  2022-06-29       Impact factor: 2.762

3.  Incorporating the Voice of Community Based Pediatricians to Improve Discharge Communication.

Authors:  Lindsay Weiss; Anthony Cooley; Evan Orenstein; Matthew Levy; Mary Edmond; Emily Wong; Hannah Hua; Nicole Hames
Journal:  Pediatr Qual Saf       Date:  2020-07-10

4.  Development and validation of ACTE-MTB: A tool to systematically assess the maturity of molecular tumor boards.

Authors:  Tara M Love; Daniel A Anaya; Matthew S Prime; Luke Ardolino; Okan Ekinci
Journal:  PLoS One       Date:  2022-05-13       Impact factor: 3.752

5.  Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.

Authors:  Carolyn Petersen; Jeffery Smith; Robert R Freimuth; Kenneth W Goodman; Gretchen Purcell Jackson; Joseph Kannry; Hongfang Liu; Subha Madhavan; Dean F Sittig; Adam Wright
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

Review 6.  Synthesizing Dimensions of Digital Maturity in Hospitals: Systematic Review.

Authors:  Rhona Duncan; Rebekah Eden; Leanna Woods; Ides Wong; Clair Sullivan
Journal:  J Med Internet Res       Date:  2022-03-30       Impact factor: 5.428

7.  A survey of extant organizational and computational setups for deploying predictive models in health systems.

Authors:  Sehj Kashyap; Keith E Morse; Birju Patel; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 4.497

  7 in total

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