Redesigning Healthcare
Organizations to Deploy New Knowledge from Data Science
May 8-9, 2017
Ann Arbor, Michigan
OverviewThis small, highly-interactive conference will explore topics related to capabilities needed by healthcare delivery organizations to apply newly generated knowledge (and engage with associated knowledge delivery infrastructure) in the era of data science. The conference is comprised of 5 main sessions. Each session will begin with some opening thoughts and discussions questions posed by participants with expertise in the given topic (max of 10 mins per speaker). The remainder of the session will be facilitated discussion among all participants.
Goal To identify potential components of a KM capability maturity model that could be used by h/c organizations to assess their readiness for future KM capabilities; where there is uncertainty about certain aspects of the model, suggest strategies to work towards greater clarity.
Schedule
Day 1 Introductions - Time: 9:00 - 9:45 AM
- Facilitator: Julia Adler-Milstein
- Questions and Topics:
- What do we mean by knowledge and knowledge management?
- What is the knowledge lifecycle?
- What roles do healthcare organizations play in the knowledge lifecycle?
- Context for knowledge management: drivers and related capabilities/efforts
- Presenters: Julia Adler-Milstein
- Presenter Topics:
- Welcome
- Introductions
- Conference Goals
- Delivery System Context (Quadruple Aim) and Motivation for KM and LHS
- Consensus on Key Definitions and Shared Mental Model
Session 1: Computable Knowledge as a “Game Changer” - Time: 9:45 - 11:45 AM
- Facilitator: Julia Adler-Milstein
- Questions and Topics:
- What are the characteristics that define computable knowledge?
- What are the current boundaries on computable knowledge?
- How is computable knowledge being captured, represented, and shared?
- Presenters & Topics:
Session 2: Infrastructure to Support Dissemination of Computable Knowledge - Time: 12:30 - 2:30 PM
- Facilitator: Charles Friedman
- Questions and Topics:
- What types of infrastructure exist or are being developed to make available/deliver computable knowledge?
- What types of HIT-KM infrastructure are widely adopted today and to what extent are they “compatible” with the above?
- Presenters & Topics:
Session 3: Use Cases and Initial CMM Discussion - Time: 2:45 - 4:45 PM
- Facilitator: Julia Adler-Milstein
- Questions and Topics:
- What use cases illustrate the range and frontiers of computable knowledge?
- From these use cases, what h/c organization capabilities will be needed to effectively engage with new computable knowledge and computable knowledge infrastructures?
- Presenters & Topics:
Session 4: Organizational and Implementation Challenges - Time: 8:30 - 10:00 AM
- Facilitator: Charles Friedman
- Questions and Topics:
- What mechanisms currently exist for the identification, assessment and application of new knowledge within healthcare organizations?
- What challenges are healthcare organizations likely to face as they implement computable knowledge and computable knowledge management infrastructures?
- What can we learn about the role of people and processes from more than a decade of research on adoption of HIT and other healthcare delivery innovations?
- Presenters: Ashish Dwevedi, Nancy Lorenzi, Ann McAlearney
- Presenters & Topics:
Session 5: Capability Maturity Model, Gaps and Research Agenda - Time: 10:15AM - 12:15 PM
- Facilitator: Julia Adler-Milstein
- Questions and Topics:
- What are the components of a KM capability maturity model for the future of h/c organizations?
- What future research streams will bolster our understanding of h/c organization competencies related to KM in the era of data science?
- What tools and frameworks would be most helpful?
- What forums and funding mechanisms would be most relevant to future work?
- Presenters: CMM brainstorm and group discussion, Conclusion
- Presenter Topics:
- Complementarities with LHS and other efforts
- Channels for future work
- Wrap up and next steps
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