Literature DB >> 35308926

Human Factors Considerations in Transitions in Care Clinical Decision Support System Implementation Studies.

Erin E Kennedy1, Kathryn H Bowles1.   

Abstract

Objective: Review transitions in care clinical decision support system (CDSS) implementation studies and describe human factors considerations in users, design, alert types, intervention timing, and implementation outcomes.
Methods: Literature review in PubMed guided by subject matter experts.
Results: Twelve articles were included. Targeted users included physicians, nurses, pharmacists, or interdisciplinary teams. Alerts were deployed via email, cloud-based software, or the EHR in inpatient and/or outpatient settings. Outcome measures varied across articles, with mixed performance. There were six readmissions-focused, two prescribing, one laboratory, two prescribing and laboratory, and one discharge disposition CDSS. Few articles reported statistically significant differences in outcomes, and many reported alert fatigue. Discussion and
Conclusion: Despite the increasing prevalence of CDSS for transitions in care, few articles describe implementation processes and outcomes, and evidence of clinical practice improvement is mixed. Future studies should utilize implementation science frameworks and incorporate appropriate implementation outcomes in addition to traditional clinical outcomes like readmission rates. ©2021 AMIA - All rights reserved.

Entities:  

Mesh:

Year:  2022        PMID: 35308926      PMCID: PMC8861703     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  25 in total

1.  A practical, robust implementation and sustainability model (PRISM) for integrating research findings into practice.

Authors:  Adrianne C Feldstein; Russell E Glasgow
Journal:  Jt Comm J Qual Patient Saf       Date:  2008-04

2.  Using a Decision Support Algorithm for Referrals to Post-Acute Care.

Authors:  Kathryn H Bowles; Sarah J Ratcliffe; John H Holmes; Sue Keim; Sheryl Potashnik; Emilia Flores; Diane Humbrecht; Christina R Whitehouse; Mary D Naylor
Journal:  J Am Med Dir Assoc       Date:  2018-11-08       Impact factor: 4.669

3.  Networks of hospital discharge planning teams and readmissions.

Authors:  Beth Prusaczyk; Sunil Kripalani; Amar Dhand
Journal:  J Interprof Care       Date:  2018-08-29       Impact factor: 2.338

Review 4.  Effect of clinical decision-support systems: a systematic review.

Authors:  Tiffani J Bright; Anthony Wong; Ravi Dhurjati; Erin Bristow; Lori Bastian; Remy R Coeytaux; Gregory Samsa; Vic Hasselblad; John W Williams; Michael D Musty; Liz Wing; Amy S Kendrick; Gillian D Sanders; David Lobach
Journal:  Ann Intern Med       Date:  2012-07-03       Impact factor: 25.391

5.  An electronic health record-based intervention to increase follow-up office visits and decrease rehospitalization in older adults.

Authors:  Jerry H Gurwitz; Terry S Field; Jessica Ogarek; Jennifer Tjia; Sarah L Cutrona; Leslie R Harrold; Shawn J Gagne; Peggy Preusse; Jennifer L Donovan; Abir O Kanaan; George Reed; Lawrence Garber
Journal:  J Am Geriatr Soc       Date:  2014-04-29       Impact factor: 5.562

6.  Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.

Authors:  Santiago Romero-Brufau; Kirk D Wyatt; Patricia Boyum; Mindy Mickelson; Matthew Moore; Cheristi Cognetta-Rieke
Journal:  Appl Clin Inform       Date:  2020-09-02       Impact factor: 2.342

7.  Novel use of REDCap to develop an advanced platform to display predictive analytics and track compliance with Enhanced Recovery After Surgery for pancreaticoduodenectomy.

Authors:  Allyson R Cochran; Kyle M Raub; Keith J Murphy; David A Iannitti; Dionisios Vrochides
Journal:  Int J Med Inform       Date:  2018-09-06       Impact factor: 4.046

8.  Interrupting providers with clinical decision support to improve care for heart failure.

Authors:  Saul Blecker; Jonathan S Austrian; Leora I Horwitz; Gilad Kuperman; Donna Shelley; Meg Ferrauiola; Stuart D Katz
Journal:  Int J Med Inform       Date:  2019-09-04       Impact factor: 4.046

9.  Reducing Emergency Room Visits and In-Hospitalizations by Implementing Best Practice for Transitional Care Using Innovative Technology and Big Data.

Authors:  Sharon Hewner; Suzanne S Sullivan; Guan Yu
Journal:  Worldviews Evid Based Nurs       Date:  2018-03-23       Impact factor: 2.931

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