Module 4: HS Sustainability & Managing Risks

MHIA 6160 | Value & Quality in Healthcare | 1.50 | W27

Dr. Cameron B. Chiarot

Module 4.1

Funding & Payment Models

The Canadian Funding Pipeline: Macro Architecture


Fiscal Flow & Federal Transfers

  • Federal Role: The Canada Health Transfer (CHT) provides cash and tax points to provinces and territories to support publicly funded healthcare.
  • Provincial Allocation: Ministries of health distribute pooled tax revenues to regional health authorities, hospitals, and sectoral envelopes (targeted funding pools).
  • Macro Objective: Ensuring steady revenue streams to backstop universal coverage mandates across diverse jurisdictions.

The Canadian Funding Pipeline: Macro Architecture (cont.)


From Treasury to Point-of-Care

  • Resource Distribution: Translating macroeconomic fiscal policy into operational budgets for regional health systems.
  • Systemic Constraints: Macro funding levels directly dictate the baseline capacity, technology adoption, and staffing limits of downstream providers.
  • The Leadership Challenge: Managing top-down fiscal limits while attempting to drive bottom-up value and quality.

Primary Care & The Mixed-Payer Spectrum


Primary Care Remuneration:

  • Traditional Fee-for-Service (FFS)
  • Alternative Funding Models (AFMs)

The Commercial Interface:

  • Navigating the mixed-payer spectrum (e.g., diagnostic services)

Traditional Fee-for-Service (FFS)


Family Medicine: Private Operation / Public Service

  • Ownership Structure: Independently owned and operated small businesses (private).
  • Behavioural Incentive: Maximizes patient volume and clinical throughput.
  • Remuneration: Clinicians bill a set fee per service, visit, or procedure rendered.
  • Core Mandate: 100% publicly insured clinical services despite private structure.
  • Risk: Encourages fragmentation, over-servicing, & ignores long-term health outcomes.

Alternative Funding


Alternative Funding Models (AFMs)

  • Mechanism: Capitation, rostering, & salaried (e.g., Family Health Teams).
  • Incentive: Rewards panel management, preventive care, & chronic disease tracking.
  • Systemic Risk: Potential under-servicing or patient cherry-picking.

Mixed-Payer Spectrum


The Private Interface (e.g., LifeLabs)

  • Mixed-Payer Model: Public Insurance, Private Insurance, and/or out-of-pocket.
  • Private Divergence: For-profit across a patient/consumer-retail health market.


What are some examples of health services covered by:

  1. … public health insurance (e.g. OHIP)?
  2. … private insurance (e.g. Employer)?
  3. … out-of-pocket (e.g. paid by patient)?

Institutional Funding: Global Budgets & Value-Based Alignment


Hospital Global Budgets

  • Structure: Fixed annual operational funding allocated to institutions regardless of minor volume fluctuations.
  • Pros & Cons: Ensures macro cost-containment and predictability, but can create rigid bottlenecks and long elective wait times.

Value-Based Payment Alignment

  • Strategic Shift: Moving away from paying for inputs or volume toward tying financial reimbursement to clinical recovery and efficiency.
  • Dual-Lens Reality: Balancing public fiscal sustainability with provider operational viability.

Section 4.1 Discussion Prompt



Interactive Discussion

As a hospital CEO operating under a fixed global budget during an unexpected surge in patient volume, what is your immediate operational incentive, and how does that behavioural response conflict with public equity mandates?

Module 4.2

Proactive Risk Management

Defining the Paradigm Shift in Risk Management


From Reactive Mitigation to Predictive Intelligence

  • Traditional Reactive Trap: Managing clinical incidents, system bottlenecks, and cyber failures after they cross critical thresholds.
  • Proactive Imperative: Leveraging digital health infrastructure to detect early vulnerabilities before operational or clinical failure.
  • Informatics Transformation: Transitioning data from an administrative ledger (what happened) into a continuous predictive monitoring system (what will happen).
  • Sustainability Link: Eliminating the high financial and operational premiums associated with acute crisis response.

The Health System Risk Matrix


Operational & Clinical Risk

  • Capacity Bottle-necks: Unexpected ED surges, ICU bed blocking, and sudden nursing staff shortages.
  • Adverse Clinical Events: Hospital-acquired infections, medication errors, and sudden patient deterioration.
  • Informatics Vector: Real-time data streams must flag systemic friction points before they cascade.

Systemic & Digital Infrastructure Risk

  • Cyber Security Vulnerabilities: Ransomware attacks targeting legacy hospital networks (e.g., patient data encryption).
  • Data Integrity & Drift: Biased predictive models or fragmented EHR data silos feeding distorted metrics to leadership.
  • Informatics Vector: Proactive cyber-auditing and algorithm governance models.

Predictive Analytics: Building the Early Warning Layer


Turning Data Repositories into Forecast Tools

  • Data Synthesis: Aggregating real-time Electronic Health Record (EHR) pipelines with historical administrative datasets (e.g., CIHI data).
  • Algorithmic Stratification: Deploying machine learning to identify high-risk patient cohorts prior to clinical deterioration or hospital readmission.
  • Clinical Utility Example: Predictive screening tools automatically calculating automated metrics (e.g., Sepsis Risk Scores or 30-day readmission liabilities).
  • Leadership Challenge: Mitigating algorithmic bias and ensuring predictive models do not widen historical socioeconomic health inequities.

Continuous Surveillance: Dashboards & Digital Twins


Operationalizing Real-Time Clinical Surveillance

  • System-Wide Visibility: Developing automated executive dashboards that ingest regional patient flow data to balance bed capacity dynamically.
  • Digital Twin Architectures: Simulating patient flows, staffing shortages, and surge capacity scenarios in a virtual environment before execution.
  • The Informatics Friction Point: Overcoming alert fatigue where clinicians desensitize to warning systems due to high false-positive thresholds.

Leadership Insight

Predictive monitoring tools are only as effective as the change-management strategies that accompany their deployment on clinical floors.

System Integration: Risk Monitoring across a Care Continuum.


Breaking Down Institutional Silos

  • Historic Fragmented State: Risk tracking restricted to individual hospital walls, blinding system leaders to regional choke points.
  • Integrated Care Networks: Modern Ontario Health Teams (OHTs) require cross-continuum digital integration across primary, acute, & home care.
  • Data-Driven Coordination: Utilizing shared digital records to predict which complex, multi-morbid patients are escalating toward acute care.
  • Macro Goal: Transitioning risk management from an institutional liability mindset into a regional public health sustainability strategy.

Evolving the Framework: From 2x2 to 5x5 Matrix


Transitioning from Qualitative Quadrants to Quantitative Risk Scoring

  • Traditional 2x2: Framework use a 4-quadrant grids (High/Low) to sort risks. While useful for manual oversight, they lack the precision needed for automated monitoring.
  • 5x5 Data-Driven Shift: A 5x5 numerical grid allows informatics platforms to assign precise alert thresholds directly within Electronic Health Records.
  • Accelerating the Risk Cycle: Automated scaling compresses the standard risk cycle—Identification \(\rightarrow\) Assessment \(\rightarrow\) Mitigation—from an annual paper exercise to real-time clinical surveillance loops.
  • ERM Integration: Spanning a wider grid makes it easier to track risks across multiple layers, connecting clinical safety metrics to performance.

The 5x5 Health System Risk Matrix Framework

Quantifying Risk Scores

  • Probability (Y-Axis): Evaluates frequency from Rare to Frequent.
  • Impact (X-Axis): Evaluates consequence from Negligible to Catastrophic.
  • Risk Score: Calculated as Probability \(\times\) Impact (Alert Thresholds).

Mapping Matrix Variables to ERM Domains

Technological Risk

  • Specific Threat: Cloud Infrastructure Failure
  • Risk Score: Probability: 2 | Impact: 5 \(\rightarrow\) Total: 10 (High)
  • Mitigation Taxonomy: Preventative / Reduce
  • Informatics Vector: Hybrid (edge-computing & decentralized localized data).

Clinical & Safety Risk

  • Specific Threat: Patient Device ID Mismatch
  • Risk Score: Probability: 4 | Impact: 3 \(\rightarrow\) Total: 12 (High)
  • Mitigation Taxonomy: Preventative
  • Informatics Vector: Mandatory hardware-enforced barcode medication administration.

Mapping Matrix Variables to ERM Domains (cont.)

Operational Risk

  • Specific Threat: Machine Learning Model in ED Triage
  • Risk Score: Probability: 3 | Impact: 4 \(\rightarrow\) Total: 12 (High)
  • Mitigation Taxonomy: Reduce / Reassess
  • Informatics Vector: Statistical performance monitoring & automated auditing.

Financial Risk

  • Specific Threat: Funding Reductions from EHR Reporting Gaps
  • Risk Score: Probability: 1 | Impact: 4 \(\rightarrow\) Total: 4 (Low)
  • Mitigation Taxonomy: Create Contingency
  • Informatics Vector: Diversified secondary business intelligence data pipelines.

Active Learning Exercise: Pandemic Surge Modelling

Scenario: A new Virus Overwhelms the Ontario Health System

Your Task

Work with your peer. Spend 10 minutes collaborating on mapping strategies, and be ready to present your matrix layout.

Instructions:

  1. Target 3 Distinct ERM Domains: Select and define 3 distinct threats from your previous slide deck layout (e.g., Ops., Tech., or Clinical & Patient Safety).
  2. Assign Values: Provide clear reasoning for your chosen Probability and Consequence scores based on current health system integration constraints.
  3. Deploy Digital Mitigation: Propose 1 specific digital tool & specify if it functions as a Preventative, Reduction, or Contingency to drop your score by at least 2 bands.

Exercise Workspace: Blank Risk Matrix Grid

Core Task: Plot your chosen pandemic threat vectors onto this matrix:

Question

How did your selected informatics solution mitigate overall system probability versus impact?

Module 4.3

Resilient Health Systems: Canadian Context

Defining the Paradigm of Health System Resilience


Shifting from Static Protection to Dynamic Adaptation

  • The Core Concept: A system’s capacity to absorb, adapt, and transform when faced with sudden, catastrophic shocks while maintaining core functions.
  • Theoretical Foundation: Moving beyond disaster management to comprehensive systemic endurance.
  • Beyond Standard Definitions: Resilience is not merely snapping back to a pre-crisis state; it requires structural evolution to withstand future economic and health system threats.
  • Value Anchor: Resilient health systems actively shield population health outcomes from collapsing while preventing uncontrollable operational cost escalations.

Source: Kruk et al., 2015

The Five Core Elements of a Resilient System

System Design & Mapping

  1. Aware: Continuous, real-time tracking of clinical limits, supply, & workforce.
  2. Diverse: Broad-spectrum service delivery & multi-layered physical assets.
  3. Self-Regulating: Safety nets, testing feedback, & swift containment protocols.

System Execution & Agility

  1. Integrated: Seamless communication between the care continuum & industry.
  2. Adaptive: Flexibility to re-purpose assets, redeploy staff, & scale tools.

The Governance Layer:

  • Force administrative decisions across centralized & decentralized partners.

Source: Haldane et al., 2021

Resilience Capacities in the Canadian Context

Operationalizing Resilience Capacities

  • Absorptive: The baseline ability to shield routine, essential care from being completely displaced by an active shock.
  • Adaptive: Rapid step up regional surge capacity, shifting clinical cross-coverage, and activating cross-provincial resource sharing.
  • Transformative: Codify crisis-driven insights into permanent legal, funding, and regulatory updates across ministries of health.

Equity Imperative:

  • Ensure response strategies explicitly protect marginalized communities who face disproportionate health and economic vulnerability.

The Dual-Lens Strategy for Canadian Resilience

Balancing Public Equity Mandates with Private Sector Agility

The System Lens (Public Sector)

  • Macro Equity Protection: Preserve population-centred safety nets and adhering strictly to the CHA pillars.
  • Resource De-escalation: Centralize the distribution of strategic reserves and balancing cross-regional patient loads based on societal equity.
  • Long-Term Risk Guardrails: Align acute crisis decisions with Sustainable Development Goals.

The Industry Lens (Private Sector)

  • Micro-Level Efficiency: Leverage market-driven supply chain networks to source critical inventory and PPE.
  • Rapid Tech Deployment: Digital scaling up clinical automation, virtual platforms, and private laboratory diagnostics.
  • Fiscal Sustainability: Structure public-private interfaces to keep health-sector innovators & vendors operationally viable.

Module 4.4

Aligning Sustainable Development Goals (SDGs)

The SDG Framework: Systems Thinking for Global Health

The SDG Framework: Systems Thinking for Global Health (cont.)


A Blueprint for Shared Prosperity

  • The 2030 Agenda: Adopted by all UN Member States in 2015, the 17 Sustainable Development Goals (SDGs) provide a shared blueprint for peace, planet, and prosperity.
  • Beyond Clinical Care: The framework explicitly recognizes that ending poverty and deprivation must go hand-in-hand with strategies that improve health and education.
  • The Informatics Imperative: Tracking SDGs requires robust, standardized data infrastructure capable of measuring socio-ecological factors alongside clinical metrics.
  • A Systems Lens: Health cannot be isolated; it is a downstream product of environmental stability, economic equity, and infrastructure resilience.

Source: UN Sustainable Development Goals Knowledge Platform

Interconnectedness: The Nexus of Health, Wealth, & Climate


Direct Health Targets: SDG 3

  • Good Health and Well-Being: Focuses on health outcomes, maternal mortality, epidemics, universal health coverage, and hazardous chemicals/pollution.
  • The Informatics Vector: Leveraging population health data to predict disease surges and optimize healthcare resource allocation.

The Multi-Goal Dependencies

  • SDG 8 (Decent Work & Economic Growth): Healthy workforces drive economic output; conversely, economic precarity increases acute health system strain.
  • SDG 13 (Climate Action): Extreme weather events directly disrupt supply chains and fuel respiratory/cardiovascular admissions.
  • SDG 10 (Reduced Inequalities): Health equity is unachievable without addressing systemic structural wealth and access gaps.

The Canadian Landscape: Reconciling Policy & Performance

Federal Mandates meets Provincial Execution

  • The Federal Strategy: Canada’s 2030 Agenda National Strategy establishes a clear federal commitment to achieving all 17 SDGs domestically.
  • The Decarbonization Challenge: Canadian healthcare is carbon-intensive; if the global health sector were a country, it would be the fifth-largest emitter on earth.
  • Provincial Friction Points: Healthcare delivery is a provincial jurisdiction (e.g., Ontario Health), meaning national SDG commitments must be translated into local hospital operational budgets.
  • Equity as a Metric: Indigenous health disparities and rural/urban resource divides remain critical blind spots in standard Canadian health performance scorecards.

Sector Dynamics: Public Mandates vs. Private Capital

Navigating the Public-Private Interface

  • The Public Sector Burden: Publicly funded entities (e.g., OHT) bear the direct social and financial costs of failing to meet SDGs.
  • The Private Sector Engine: Private life sciences companies, digital health startups, and supply vendors are increasingly judged on ESG (Environmental, Social, and Governance).
  • Procurement as a Lever: Public health systems can mandate strict SDG compliance within their procurement pipelines, forcing private vendors to lower emissions.
  • The Shared Horizon: True sustainability occurs when public policy goals and private sector incentives align to build resilient infrastructure.

Interactive Exercise: SDG Alignment Sprint


Active Learning Challenge: 10-Minute Strategy Sprint

Scenario:

  • Ontario Health is funding a major expansion of a digital hospital-at-home program designed to transition chronic heart failure patients out of physical acute-care beds.

Your Task:

  1. Open your device and navigate to the official UN Sustainable Development Goals Knowledge Platform.
  2. Review the 17 goals and select exactly three interconnected SDGs (excluding SDG 3) that this specific virtual care expansion directly supports.
  3. Be ready to pitch: As a healthcare executive, how would you pitch this program to a board by proving it hits environmental, economic, and health-equity goals simultaneously?

Module 4 Summary: Sustainability & Risk


  • Funding & Payment Models: Examined macroeconomic fiscal flows via the Canada Health Transfer, the private/public primary care mixed-payer spectrum, and the trade-offs of hospital global budgets.
  • Proactive Risk Management: Shifted from reactive crisis mitigation to automated predictive surveillance using 5x5 enterprise risk matrices and EHR integration.
  • Resilient Health Systems: Operationalized absorptive, adaptive, and transformative capacities across public equity mandates and private sector agility (Haldane et al., 2021; Kruk et al., 2015).
  • Sustainable Development Goals (SDGs): Connected domestic health policy, carbon reduction, and multi-goal dependencies (SDGs 3, 8, 10, 13) to long-term system survival.

Week 5 Deliverable: Capstone Written Brief (Weight: 20%)


  • Core Objective: A professional 10-page executive report (2,000–2,500 words) detailing the Taskforce’s strategic public health and economic response.
  • Dual-Lens Integration: Balances public health mandates with private-sector economic resilience and trade-offs using the DAEDALUS simulation interface.
  • Empirical Support: Must incorporate at least two (2) R-generated figures derived directly from simulation outputs, following professional visualization standards.
  • Executive Standards: Evaluated on bottom-line emphasis, structural clarity (headings/subheadings), neutral tone, and proper Vancouver-style citations.

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