Merge pull request 'extract: 2021-02-00-mckinsey-facility-to-home-265-billion-shift' (#1061) from extract/2021-02-00-mckinsey-facility-to-home-265-billion-shift into main

domains/health/home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift.md

@@ -28,6 +28,12 @@ The services ready to shift include primary care, outpatient specialist consults
 
 This facility-to-home migration is the physical infrastructure layer of [[the healthcare attractor state is a prevention-first system where aligned payment continuous monitoring and AI-augmented care delivery create a flywheel that profits from health rather than sickness]]. If value-based care provides the payment alignment and continuous monitoring provides the data layer, the home is where these capabilities converge into actual care delivery. The 3-4x scaling requirement ($65B → $265B) matches the magnitude of the VBC payment transition tracked in [[value-based care transitions stall at the payment boundary because 60 percent of payments touch value metrics but only 14 percent bear full risk]].
 
+
+### Additional Evidence (extend)
+*Source: [[2021-02-00-mckinsey-facility-to-home-265-billion-shift]] | Added: 2026-03-16*
+
+McKinsey projects the $265B shift requires a 3-4x increase in home care capacity from current $65B baseline. Johns Hopkins hospital-at-home demonstrates 19-30% cost savings vs. in-hospital care, while home-based heart failure management shows 52% lower costs. The enabling technology stack includes RPM market growing from $29B to $138B (2024-2033) at 19% CAGR, with AI in RPM growing 27.5% CAGR ($2B to $8.4B, 2024-2030). 71M Americans expected to use RPM by 2025. Demand signal: 94% of Medicare beneficiaries prefer home-based post-acute care, with 16% of 65+ respondents more likely to receive home health post-pandemic.
+
 ---
 
 Relevant Notes:

domains/health/rpm-technology-stack-enables-facility-to-home-care-migration-through-ai-middleware-that-converts-continuous-data-into-clinical-utility.md

@@ -27,6 +27,12 @@ This claim connects the technology layer ([[continuous health monitoring is conv
 
 The atoms-to-bits conversion happens at the patient's home ([[healthcares defensible layer is where atoms become bits because physical-to-digital conversion generates the data that powers AI care while building patient trust that software alone cannot create]]), and the AI layer makes that data clinically useful ([[AI middleware bridges consumer wearable data to clinical utility because continuous data is too voluminous for direct clinician review]]).
 
+
+### Additional Evidence (confirm)
+*Source: [[2021-02-00-mckinsey-facility-to-home-265-billion-shift]] | Added: 2026-03-16*
+
+McKinsey identifies RPM as the fastest-growing home healthcare end-use segment at 25.3% CAGR, with home healthcare specifically as the fastest-growing RPM application. The technology stack enables dialysis, post-acute care, long-term care, and infusions to become 'stitchable capabilities' that can shift home. COVID catalyzed permanent shift in care delivery expectations through telehealth adoption.
+
 ---
 
 Relevant Notes:

inbox/archive/2021-02-00-mckinsey-facility-to-home-265-billion-shift.md

@@ -7,9 +7,13 @@ date: 2021-02-01
 domain: health
 secondary_domains: []
 format: report
-status: unprocessed
+status: enrichment
 priority: medium
 tags: [home-health, hospital-at-home, care-delivery, facility-shift, mckinsey, senior-care]
+processed_by: vida
+processed_date: 2026-03-16
+enrichments_applied: ["home-based-care-could-capture-265-billion-in-medicare-spending-by-2025-through-hospital-at-home-remote-monitoring-and-post-acute-shift.md", "rpm-technology-stack-enables-facility-to-home-care-migration-through-ai-middleware-that-converts-continuous-data-into-clinical-utility.md"]
+extraction_model: "anthropic/claude-sonnet-4.5"
 ---
 
 ## Content
@@ -54,3 +58,16 @@ tags: [home-health, hospital-at-home, care-delivery, facility-shift, mckinsey, s
 PRIMARY CONNECTION: [[continuous health monitoring is converging on a multi-layer sensor stack of ambient wearables periodic patches and environmental sensors processed through AI middleware]]
 WHY ARCHIVED: Connects the care delivery transition to the technology layer the KB already describes. Grounds the atoms-to-bits thesis in senior care economics.
 EXTRACTION HINT: The technology-enabling-care-site-shift narrative is more extractable than the dollar figure alone.
+
+
+## Key Facts
+- Up to $265 billion in Medicare care services (25% of total cost of care) could shift from facilities to home by 2025
+- Current home-based care serves approximately $65B, requiring 3-4x capacity increase
+- Johns Hopkins hospital-at-home program achieves 19-30% cost savings vs. in-hospital care
+- Home care for heart failure patients shows 52% lower costs in systematic review
+- 16% of 65+ respondents more likely to receive home health post-pandemic (McKinsey Consumer Health Insights, June 2021)
+- 94% of Medicare beneficiaries prefer home-based post-acute care
+- RPM market projected to grow from $29B to $138B (2024-2033) at 19% CAGR
+- AI in RPM market projected to grow from $2B to $8.4B (2024-2030) at 27.5% CAGR
+- Home healthcare is fastest-growing RPM end-use segment at 25.3% CAGR
+- 71M Americans expected to use RPM by 2025