A research pack for deciding how to service installed medical devices sustainably. It separates observed service data from business case hypotheses, scores the assumptions that could change the decision, and routes them to research questions or pilot stop rules before any model is approved.
What this pack covers
The pack holds:<ul><li>a decision frame with conditions for use;</li><li>an inputs table with fallbacks for missing data;</li><li>a step-by-step method with formulas and scoring anchors;</li><li>an option structure that keeps capacity release separate from cash savings;</li><li>a recommended tiered design and the conditions it depends on;</li><li>execution, governance and KPI tables;</li><li>a synthetic worked example with a failure case, an alternate scenario and a practice exercise.</li></ul>The editable tools are an assumption register, source log, research question log, challenge worksheet and option economics worksheet.
- Purpose and decision
- Context and applicability
- Inputs and evidence
- Definitions and assumptions
- Method and analytical logic
- Current-state assessment
- Options and business case
- Recommended design
- Execution and activation
- Governance and risk
- Measurement and benefits
- Worked example and practice
- Working tools and references