Literature DB >> 21991299

Best Practices in Clinical Decision Support: the Case of Preventive Care Reminders.

Adam Wright1, Shobha Phansalkar, Meryl Bloomrosen, Robert A Jenders, Anne M Bobb, John D Halamka, Gilad Kuperman, Thomas H Payne, Sheila Teasdale, Allen J Vaida, David W Bates.   

Abstract

BACKGROUND: Evidence demonstrates that clinical decision support (CDS) is a powerful tool for improving healthcare quality and ensuring patient safety. However, implementing and maintaining effective decision support interventions presents multiple technical and organizational challenges.
PURPOSE: To identify best practices for CDS, using the domain of preventive care reminders as an example.
METHODS: We assembled a panel of experts in CDS and held a series of facilitated online and in-person discussions. We analyzed the results of these discussions using a grounded theory method to elicit themes and best practices.
RESULTS: Eight best practice themes were identified as important: deliver CDS in the most appropriate ways, develop effective governance structures, consider use of incentives, be aware of workflow, keep content current, monitor and evaluate impact, maintain high quality data, and consider sharing content. Keys themes within each of these areas were also described.
CONCLUSION: Successful implementation of CDS requires consideration of both technical and socio-technical factors. The themes identified in this study provide guidance on crucial factors that need consideration when CDS is implemented across healthcare settings. These best practice themes may be useful for developers, implementers, and users of decision support.

Entities:  

Year:  2010        PMID: 21991299      PMCID: PMC3189503          DOI: 10.4338/ACI-2010-05-RA-0031

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


  34 in total

1.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

2.  Computerized provider order entry implementation: no association with increased mortality rates in an intensive care unit.

Authors:  Mark A Del Beccaro; Howard E Jeffries; Matthew A Eisenberg; Eric D Harry
Journal:  Pediatrics       Date:  2006-07       Impact factor: 7.124

3.  Electronic health record use and the quality of ambulatory care in the United States.

Authors:  Jeffrey A Linder; Jun Ma; David W Bates; Blackford Middleton; Randall S Stafford
Journal:  Arch Intern Med       Date:  2007-07-09

4.  A description and functional taxonomy of rule-based decision support content at a large integrated delivery network.

Authors:  Adam Wright; Howard Goldberg; Tonya Hongsermeier; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

5.  Electronic health records: which practices have them, and how are clinicians using them?

Authors:  Steven R Simon; Madeline L McCarthy; Rainu Kaushal; Chelsea A Jenter; Lynn A Volk; Eric G Poon; Kevin C Yee; E John Orav; Deborah H Williams; David W Bates
Journal:  J Eval Clin Pract       Date:  2008-02       Impact factor: 2.431

6.  The accuracy of medication data in an outpatient electronic medical record.

Authors:  M M Wagner; W R Hogan
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

7.  Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic.

Authors:  Herbert C Szeto; Robert K Coleman; Parisa Gholami; Brian B Hoffman; Mary K Goldstein
Journal:  Am J Manag Care       Date:  2002-01       Impact factor: 2.229

8.  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

9.  Redesigning care processes using an electronic health record: a system's experience.

Authors:  Jane M Brokel; Michael I Harrison
Journal:  Jt Comm J Qual Patient Saf       Date:  2009-02

10.  Inpatient computer-based standing orders vs physician reminders to increase influenza and pneumococcal vaccination rates: a randomized trial.

Authors:  Paul R Dexter; Susan M Perkins; Kati S Maharry; Kathy Jones; Clement J McDonald
Journal:  JAMA       Date:  2004-11-17       Impact factor: 56.272

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  13 in total

1.  The influence of computerized decision support on prescribing during ward-rounds: are the decision-makers targeted?

Authors:  Melissa T Baysari; Johanna I Westbrook; Katrina L Richardson; Richard O Day
Journal:  J Am Med Inform Assoc       Date:  2011-06-14       Impact factor: 4.497

Review 2.  Diagnostic accuracy and effectiveness of automated electronic sepsis alert systems: A systematic review.

Authors:  Anil N Makam; Oanh K Nguyen; Andrew D Auerbach
Journal:  J Hosp Med       Date:  2015-03-11       Impact factor: 2.960

3.  Performance of a Clinical Decision Support Tool to Identify PICU Patients at High Risk for Clinical Deterioration.

Authors:  Maya Dewan; Naveen Muthu; Eric Shelov; Christopher P Bonafide; Patrick Brady; Daniela Davis; Eric S Kirkendall; Dana Niles; Robert M Sutton; Danielle Traynor; Ken Tegtmeyer; Vinay Nadkarni; Heather Wolfe
Journal:  Pediatr Crit Care Med       Date:  2020-02       Impact factor: 3.624

4.  Getting what they need when they need it. Identifying barriers to information needs of family caregivers to manage dementia-related behavioral symptoms.

Authors:  Nicole E Werner; Barbara Stanislawski; Katherine A Marx; Daphne C Watkins; Marissa Kobayashi; Helen Kales; Laura N Gitlin
Journal:  Appl Clin Inform       Date:  2017-02-22       Impact factor: 2.342

5.  Implementing Black Box Warnings (BBWs) in Health Information Systems: An Organizing Taxonomy Identifying Opportunities and Challenges.

Authors:  M Ikezuagu; E Yang; A Daghstani; D C Kaelber
Journal:  Appl Clin Inform       Date:  2012-03-21       Impact factor: 2.342

6.  Design, Implementation, and Validation of a Pediatric ICU Sepsis Prediction Tool as Clinical Decision Support.

Authors:  Maya Dewan; Rhea Vidrine; Matthew Zackoff; Zachary Paff; Brandy Seger; Stephen Pfeiffer; Philip Hagedorn; Erika L Stalets
Journal:  Appl Clin Inform       Date:  2020-03-25       Impact factor: 2.342

7.  A theory-based meta-regression of factors influencing clinical decision support adoption and implementation.

Authors:  Siru Liu; Thomas J Reese; Kensaku Kawamoto; Guilherme Del Fiol; Charlene Weir
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

8.  Computerised physician order entry-related medication errors: analysis of reported errors and vulnerability testing of current systems.

Authors:  G D Schiff; M G Amato; T Eguale; J J Boehne; A Wright; R Koppel; A H Rashidee; R B Elson; D L Whitney; T-T Thach; D W Bates; A C Seger
Journal:  BMJ Qual Saf       Date:  2015-01-16       Impact factor: 7.035

9.  Delivering the right information to the right person at the right time to facilitate deprescribing in hospital: a mixed methods multisite study to inform decision support design in Australia.

Authors:  Melissa T Baysari; Mai Duong; Wu Yi Zheng; Amy Nguyen; Sarita Lo; Brendan Ng; Angus Ritchie; David Le Couteur; Andrew McLachlan; Alexandra Bennett; Sarah Hilmer
Journal:  BMJ Open       Date:  2019-09-27       Impact factor: 2.692

10.  Measuring agreement between decision support reminders: the cloud vs. the local expert.

Authors:  Brian Edward Dixon; Linas Simonaitis; Susan M Perkins; Adam Wright; Blackford Middleton
Journal:  BMC Med Inform Decis Mak       Date:  2014-04-10       Impact factor: 2.796

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