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Patient Medical Home/Primary Care Home in the Kootenay Boundary
https://www.jcc-resourcecatalogue.ca/en/permalink/divisionresource1031
- Health Authority
- Interior
- Division
- Kootenay Boundary Division of Family Practice
- Published Date
- 2016
- Link to File
- /media/divresources/KB_PMH_presentation.pptx
- Description
- "A presentation on PMH/PCH in the Kootenay Boundary including a Change Acceleration Plan, KB CSC Spectrum of Member Issue Engagement & Decision Making, and Risks and Pitfalls of PHC for Community, Physicians, and IH Staff."
- Health Authority
- Interior
- Division
- Kootenay Boundary Division of Family Practice
- Personal Author
- Dr. David Merry
- Andrew Earnshaw
- Published Date
- 2016
- Topics
- Team-Based Care
- Primary Care Network
- Patient Medical Home
- EMR
- Nurse
- Nurse Practitioners
- Finances
- Community Engagement
- Engagement
- Resource Type
- Presentation
- File Type
- PowerPoint
- Link to File
- /media/divresources/KB_PMH_presentation.pptx
- Description
- A presentation on PMH/PCH in the Kootenay Boundary including a Change Acceleration Plan, KB CSC Spectrum of Member Issue Engagement & Decision Making, and Risks and Pitfalls of PHC for Community, Physicians, and IH Staff.
- Health Authority
- Fraser
- Division
- Abbotsford Division of Family Practice
- Published Date
- 2018-11-01
- Link to File
- http://www.daretotestproject.cf/
- Description
- "The calculator analyzes specific patient panels, based on specific diagnosis parameters, and identifies the best clinical service delivery composition model by addressing the progressive healthcare concerns of those patients"
- Health Authority
- Fraser
- Division
- Abbotsford Division of Family Practice
- Corporate Author
- Abbotsford Division of Family Practice
- Douglas College
- Published Date
- 2018-11-01
- Resource Type
- Assessment Tool
- Link to File
- http://www.daretotestproject.cf/
- Originating web page
- http://www.divisionsbc.ca/abbotsford-menu/business-supports/team-calculator
- Description
- The calculator analyzes specific patient panels, based on specific diagnosis parameters, and identifies the best clinical service delivery composition model by addressing the progressive healthcare concerns of those patients