EMR Implementation & Change Management: Lessons from primary care Presentation to the COMOH EMR Steering Committee April 18 th 2018 Carolyn Steele Gray, PhD Scientist, Bridgepoint Collaboratory for Research and Innovation Lunenfeld-Tanenbaum Research Institute, Sinai Health Systems Assistant Professor (status), Institute of Health Policy, Management and Evaluation, University of Toronto
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EMR Implementation & Change Management: Lessons from … · 2018-04-19 · EMR Implementation & Change Management: Lessons from primary care Presentation to the COMOH EMR Steering
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EMR Implementation & Change Management:Lessons from primary care
Presentation to the COMOH EMR Steering CommitteeApril 18 th 2018
Carolyn Steele Gray, PhDScientist, Bridgepoint Collaboratory for Research and InnovationLunenfeld-Tanenbaum Research Institute, Sinai Health SystemsAssistant Professor (status), Institute of Health Policy, Management and Evaluation, University of Toronto
Overview
• The role of EMRs in care delivery
• What does implementation science tell us?
• Supporting change
Role of EMRs
EMR vs EHR vs PHR
• Electronic Medical Record (EMR):
• Real-time patient health record
• Access to evidence-based decision tools – clinical decision support
• Support clinician workflow • Electronic Health Record (EHR):
• Longitudinal record of patient health information across care delivery settings
• Promoting the uptake of evidence into routine health care delivery in clinical, organizational or policy contexts.
• Examines what works, for whom and under what circumstances, and how interventions can be adapted and scaled up in ways that are accessible and equitable
• Theoretical frameworks and models often point to factors we need to consider when implementing new models
Consolidated Framework for Implementation Research (CFIR)
Damschroder et al (2009)https://implementationscience.biomedcentral.com/articles/10.1186/1748-5908-4-50
Factors influencing implementation of eHealth
• Adaptability (related is interoperability of systems); Complexity; CostInnovation
characteristics
• External policy and incentives (absence or inadequacy of legislation, liability, government incentives)Outer setting
• Compatibility (workflow fit); Leadership engagement (can help improve this); Available resources (infrastructure); Access to knowledge and information
Inner setting
• Knowledge and beliefs; personal characteristics (professionals computer skills)
Individual characteristics
• Planning for implementation; change champions; reflecting and evaluating Process
Ross et al (2016) Implementation Science.https://implementationscience.biomedcentral.com/articles/10.1186/s13012-016-0510-7
Supporting change
Society for Human Resource Management Change Management Survey 2007
• Try to build in touchpoints with sites for feedback (can be used to support engagement)
• Embrace distributive leadership
John Kotter on “Change Management vs Change Leadership”
“Change management, which is a set of processes and a set of tools and a set of mechanisms that are designed to make sure that when you do try to make some changes, A, it doesn’t get out of control, and B, the number of problems associated with it… don’t happen. So it is a way of making a big change and keeping it, in a sense, under control.”
“Change leadership is much more associated with putting an engine on the whole change process, and making it go faster, smarter, more efficiently. Change leadership is going to be the big challenge in the future, and the fact that almost nobody is very good at it is—well, it’s obviously a big deal.”
Change leadership
• Greiner’s Change Process Model (1967) identifies the importance of a change agent who takes a leadership role in initiative the change process.
• Practice facilitators!
Implementation learning from our work
• Critical implementation determinants at all levels • Systems must be meaningful to users• Consistent ongoing engagement is critical • Establish adaptable change management strategies
• Careful selection of change agents/champions• Find a balance between fitting user flows and encouraging innovation
• Tension between user-centredness and disruption• Challenge in addressing policy level determinants (e.g. data privacy and
security legislation)
“Electronic health systems must be built in a way to facilitate the exchange of data; disparate systems using separate disease definitions, for example, are of little value. Standards must be applied to the data and the systems themselves to allow for and facilitate the exchange of data between various sources.” (WHO, 2012)