Scale Digital Health with Public–Private Partnerships (McKinsey)

Scale Digital Health with Public–Private Partnerships (McKinsey)

Dec 17, 2025

A diverse group of professionals engaged in a meeting around a large wooden table, with laptops and documents, in a modern office adorned with plants and a medical symbol on a screen, symbolizing AI health public-private partnerships.
A diverse group of professionals engaged in a meeting around a large wooden table, with laptops and documents, in a modern office adorned with plants and a medical symbol on a screen, symbolizing AI health public-private partnerships.

McKinsey’s new research outlines how public–private partnerships (PPPs) actually scale digital health: start with a clear rationale (capability, scale, or financing), choose the right private actor, and design ownership, procurement, data privacy, and sustainability up front. Lessons from Canada, Estonia, Mexico, Tanzania and Togo show what works—and why.

Key points

  • Capability, scale, finance: Governments most often engage private partners for unique technical capabilities (100% of cases), scale (83% in mature ecosystems) or financing (48% in constrained settings).

  • Proven economic upside: Digital tools can unlock up to 15% efficiency in LMIC health systems by 2030 when deployed at scale.

  • Real mechanisms, not slogans: Direct procurement, innovation hubs, equity stakes, and phased ownership help align incentives and sustain solutions.

Five lessons that show up again and again

  1. Guide where to invest. Use a national digital-health roadmap and clarify ownership to reduce fragmentation (e.g., Alberta’s Connect Care with Epic).

  2. Engage the right actor. Tanzania’s Afya-tek blended CHW tools and pharma workflows by partnering with D-tree/AHAI for expertise and funding.

  3. Create incentives. Tax breaks, grants, and innovation hubs (e.g., Estonia’s HealthTech community; CAN Health in Canada) accelerate quality and procurement.

  4. Build trust with guardrails. Enforce GDPR-aligned rules (Estonia PDPA) and require oversight to access sensitive datasets (e.g., FINBB biobank).

  5. Plan for sustainability. Use non-public financing where needed, equity stakes to align incentives (Unity Health Toronto × Signal 1), and phased ownership transitions (e.g., m-mama, Togo CHIS).

McKinsey also notes: private sector spend accounts for 40–60% of health spending in many LMICs, and private investment in digital health hit $25.1bn in 2024—underscoring why PPPs matter. McKinsey & Company

Practical steps or examples (a playbook you can use)

  1. Start with the “why.” Are you buying capability (AI triage, EHR implementation), scale (national roll-out), or financing (blended/donor capital)? Write it down; this drives model selection.

  2. Pick the model.

    • Direct procurement for critical, standardised systems.

    • Innovation hubs and sandboxes for rapid testing.

    • Equity/fee models to align incentives for co-developed AI or analytics.

  3. Decide ownership & oversight early. Separate solution ownership from IP, define joint or sole oversight, and set a transition path (private→joint→public) to build public capacity.

  4. De-risk data from day one. Codify privacy, access, and audit; link procurement eligibility to compliance with national laws/standards.

  5. Finance for durability. Combine budget lines with donor/private capital; use deferred payments or volume-based fees to smooth cashflow.

  6. Measure what matters. Track adoption (patients/HCPs), cost-to-serve, wait-time reductions, and equity impacts; McKinsey’s adoption playbook shows setup → scale-up → enhance benefits phases that improve stickiness.

Live examples to make it tangible

  • Estonia e-Prescription: nationwide, integrated with EHR and national systems—near-universal digital prescriptions.

  • Unity Health Toronto × Signal 1 (Canada): hospital takes a minor equity stake; acts as a “living lab” for AI monitoring (CHARTWatch).

  • Mexico City COVID360: public–foundation partnership to stand up a treatment platform quickly during COVID-19.

  • Tanzania Afya-tek: connects community health workers, facilities, and dispensaries—procured via roadmap; built for interoperability.

McKinsey’s latest guidance shows that public–private partnerships scale digital health when governments define the “why,” pick the right private actor, hard-wire financing/ownership, enforce data guardrails, and plan for sustainability—using roadmaps, incentives, and phased ownership to reach national scale. McKinsey & Company

FAQs

What are public–private partnerships in digital health?
Structured collaborations where government and private actors (for-profit and not-for-profit) co-design, build or operate digital health solutions—often with mixed financing and shared oversight. McKinsey & Company

Why are these partnerships important now?
Because capability, scale, and financing gaps persist—especially in LMICs where private spend is 40–60% of health spending and digital investment is rising. McKinsey & Company

How do the partnerships work in practice?
Common models include direct procurement, innovation hubs, equity or fee-based structures, and phased ownership; success depends on data privacy, transparent procurement, and clear roadmaps. McKinsey & Company

What’s the potential value?
In LMICs, scaled digital tools could unlock up to 15% system-efficiency gains; WHO estimates even modest per-patient digital investment can save >2 million lives from NCDs over time. McKinsey & Company

Summary

McKinsey’s message is pragmatic: treat PPPs as design problems. Choose the model that matches your “why”, bake in governance and privacy, finance for the long haul, and set an adoption roadmap (setup → scale-up → enhance). That’s how digital health moves from pilots to population-level impact. McKinsey & Company

McKinsey’s new research outlines how public–private partnerships (PPPs) actually scale digital health: start with a clear rationale (capability, scale, or financing), choose the right private actor, and design ownership, procurement, data privacy, and sustainability up front. Lessons from Canada, Estonia, Mexico, Tanzania and Togo show what works—and why.

Key points

  • Capability, scale, finance: Governments most often engage private partners for unique technical capabilities (100% of cases), scale (83% in mature ecosystems) or financing (48% in constrained settings).

  • Proven economic upside: Digital tools can unlock up to 15% efficiency in LMIC health systems by 2030 when deployed at scale.

  • Real mechanisms, not slogans: Direct procurement, innovation hubs, equity stakes, and phased ownership help align incentives and sustain solutions.

Five lessons that show up again and again

  1. Guide where to invest. Use a national digital-health roadmap and clarify ownership to reduce fragmentation (e.g., Alberta’s Connect Care with Epic).

  2. Engage the right actor. Tanzania’s Afya-tek blended CHW tools and pharma workflows by partnering with D-tree/AHAI for expertise and funding.

  3. Create incentives. Tax breaks, grants, and innovation hubs (e.g., Estonia’s HealthTech community; CAN Health in Canada) accelerate quality and procurement.

  4. Build trust with guardrails. Enforce GDPR-aligned rules (Estonia PDPA) and require oversight to access sensitive datasets (e.g., FINBB biobank).

  5. Plan for sustainability. Use non-public financing where needed, equity stakes to align incentives (Unity Health Toronto × Signal 1), and phased ownership transitions (e.g., m-mama, Togo CHIS).

McKinsey also notes: private sector spend accounts for 40–60% of health spending in many LMICs, and private investment in digital health hit $25.1bn in 2024—underscoring why PPPs matter. McKinsey & Company

Practical steps or examples (a playbook you can use)

  1. Start with the “why.” Are you buying capability (AI triage, EHR implementation), scale (national roll-out), or financing (blended/donor capital)? Write it down; this drives model selection.

  2. Pick the model.

    • Direct procurement for critical, standardised systems.

    • Innovation hubs and sandboxes for rapid testing.

    • Equity/fee models to align incentives for co-developed AI or analytics.

  3. Decide ownership & oversight early. Separate solution ownership from IP, define joint or sole oversight, and set a transition path (private→joint→public) to build public capacity.

  4. De-risk data from day one. Codify privacy, access, and audit; link procurement eligibility to compliance with national laws/standards.

  5. Finance for durability. Combine budget lines with donor/private capital; use deferred payments or volume-based fees to smooth cashflow.

  6. Measure what matters. Track adoption (patients/HCPs), cost-to-serve, wait-time reductions, and equity impacts; McKinsey’s adoption playbook shows setup → scale-up → enhance benefits phases that improve stickiness.

Live examples to make it tangible

  • Estonia e-Prescription: nationwide, integrated with EHR and national systems—near-universal digital prescriptions.

  • Unity Health Toronto × Signal 1 (Canada): hospital takes a minor equity stake; acts as a “living lab” for AI monitoring (CHARTWatch).

  • Mexico City COVID360: public–foundation partnership to stand up a treatment platform quickly during COVID-19.

  • Tanzania Afya-tek: connects community health workers, facilities, and dispensaries—procured via roadmap; built for interoperability.

McKinsey’s latest guidance shows that public–private partnerships scale digital health when governments define the “why,” pick the right private actor, hard-wire financing/ownership, enforce data guardrails, and plan for sustainability—using roadmaps, incentives, and phased ownership to reach national scale. McKinsey & Company

FAQs

What are public–private partnerships in digital health?
Structured collaborations where government and private actors (for-profit and not-for-profit) co-design, build or operate digital health solutions—often with mixed financing and shared oversight. McKinsey & Company

Why are these partnerships important now?
Because capability, scale, and financing gaps persist—especially in LMICs where private spend is 40–60% of health spending and digital investment is rising. McKinsey & Company

How do the partnerships work in practice?
Common models include direct procurement, innovation hubs, equity or fee-based structures, and phased ownership; success depends on data privacy, transparent procurement, and clear roadmaps. McKinsey & Company

What’s the potential value?
In LMICs, scaled digital tools could unlock up to 15% system-efficiency gains; WHO estimates even modest per-patient digital investment can save >2 million lives from NCDs over time. McKinsey & Company

Summary

McKinsey’s message is pragmatic: treat PPPs as design problems. Choose the model that matches your “why”, bake in governance and privacy, finance for the long haul, and set an adoption roadmap (setup → scale-up → enhance). That’s how digital health moves from pilots to population-level impact. McKinsey & Company

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Digital

UK Office
33 Queen St,
London
EC4R 1AP
United Kingdom

Canada Office
1 University Ave,
Toronto,
ON M5J 1T1,
Canada

NAMER Office
77 Sands St,
Brooklyn,
NY 11201,
United States

EMEA Office
Charlemont St, Saint Kevin's, Dublin,
D02 VN88,
Ireland

Middle East Office
6994 Alsharq 3890,
An Narjis,
Riyadh 13343,
Saudi Arabia

UK Fast Growth Index UBS Logo
Financial Times FT 1000 Logo
Febe Growth 100 Logo (Background Removed)


Company No: 256 9431 77
Terms and Conditions
Privacy Policy
Copyright 2026