The Life Cycle of Clinical Decision Support (CDS): CDS Theory and Practice from Request to Maintenance
Joseph Kannry, MD, David Bates, MD MSc, [...], and Thomas Yackel, MD MPH MS
Abstract
The promise of Clinical Decision Support (CDS) has always been to transform patient care and improve patient safety with delivery of timely and appropriate recommendations that are both patient-specific and more often than not appropriately actionable. However, the users of CDS, providers, are frequently bombarded with inappropriate and inapplicable CDS that is frequently neither informational, integrated into the workflow, patient-specific, and may present out of date and irrelevant recommendations. The life cycle of Clinical Decision Support begins with a request for CDS, continues with design and implementation, and concludes with ongoing knowledge maintenance.
This State of the Practice will look at how using the best science and latest knowledge regarding CDS can create request and maintenance processes that work in the real world. Dr. David Bates will present the best science and knowledge behind CDS that works. Dr.’s Joseph Kannry and Thomas Yackel will present case studies of CDS requests and design processes that use this science to generate useful, useable, and timely patient-specific recommendations. Dr. Tonya Hongsermeier will present best practices in knowledge maintenance. Finally, Dr. Michael Krall will present a case study of knowledge maintenance from Kaiser Permanente that results in appropriate and up-to-date CDS.
Description and Outline: This presentation will demonstrate how principles demonstrated in the CDS literature result in useful and effective CDS lifecycle from request to maintenance. Each of the case study presenters, Drs. Kannry, Yackel, and Krall acknowledge and built upon the work of Drs. Bates and Hongsermeier.
- Brief Overview-Joseph Kannry
- Defining Clinical Decision Support-David Bates
- Identifying and summarizing the characteristics of successful CDS-David Bates
- Reviewing the Clinical Decision Support Life Cycle-Joseph Kannry
- Requesting and Designing CDS Using Best Practice: two case studies
- ○ Mount Sinai Medical Center Case Study#1: -Joseph Kannry
- ○ Oregon Health and Science University Case Study#2-Thomas Yackel
- Defining Knowledge Maintenance-Tonya Hongsermeier
- Reviewing the characteristics of successful knowledge maintenance processes and tools-Tonya Hongsermeier
- Case Study of Knowledge Maintenance Using Best Practice
- ○ Kaiser Permanente Northwest-Michael Krall
- Brief Summary-Joseph Kannry
- Q&A
Specific Educational Goals:
- Understand the life cycle of Clinical Decision Support (CDS) from request to maintenance
- Identify characteristics of successful and effective CDS
- Describe and design a CDS request process that results in useable and useful decision support
- Define and explain knowledge maintenance
- List characteristics of successful knowledge maintenance
- Understand the evolutionary nature of maintaining knowledge
- Design an effective knowledge maintenance process
Who Should Attend: Providers, Physician and Nursing Informaticists, CMIO’s, CMO’s, COO’s, CEO’s, and CDS researchers, and anyone interested in transforming patient care.