SWOT
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CVS Health Engineering

To build technology systems that make healthcare accessible, affordable, and simple by reimagining healthcare experiences through digital innovation

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Align the strategy

CVS Health Engineering SWOT Analysis

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To build technology systems that make healthcare accessible, affordable, and simple by reimagining healthcare experiences through digital innovation

Strengths

  • ECOSYSTEM: Extensive healthcare network spans retail, pharmacy, PBM
  • SCALE: Serving 100M+ consumers with vast technology infrastructure
  • DATA: Rich healthcare data from pharmacy, clinical, retail channels
  • INTEGRATION: Aetna acquisition enables full healthcare coordination
  • PRESENCE: 9,900+ retail locations provide physical/digital hybrid model

Weaknesses

  • LEGACY: Outdated systems requiring significant modernization efforts
  • COMPLEXITY: Fragmented tech architecture across business segments
  • TALENT: Challenges attracting elite tech talent vs pure tech companies
  • AGILITY: Slow deployment cycles compared to healthcare tech startups
  • INTEROPERABILITY: Siloed data limiting seamless patient experiences

Opportunities

  • TELEMEDICINE: Expanding virtual care platform to reach more patients
  • API: Building robust developer ecosystems for healthcare innovation
  • ANALYTICS: Leveraging data for personalized healthcare journeys
  • CONSUMERISM: Meeting growing demand for digital-first experiences
  • INTEGRATION: Creating unified platform across pharmacy/care/insurance

Threats

  • COMPETITION: Big tech firms (Amazon, Apple) entering healthcare space
  • SECURITY: Increasing cybersecurity threats to sensitive health data
  • REGULATION: Complex healthcare compliance landscape limiting agility
  • TALENT: Fierce competition for AI/ML engineering specialists
  • DISRUPTION: Digital-native startups unbundling healthcare services

Key Priorities

  • PLATFORM: Develop unified digital experience across all services
  • MODERNIZATION: Accelerate cloud migration and tech debt reduction
  • DATA: Unlock cross-business insights through data integration hub
  • TALENT: Establish centers of excellence in AI, ML and digital health
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Align the plan

CVS Health Engineering OKR Plan

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To build technology systems that make healthcare accessible, affordable, and simple by reimagining healthcare experiences through digital innovation

ONE PLATFORM

Create unified digital experience across all services

  • ARCHITECTURE: Define and implement common API gateway serving 90% of customer-facing services by Q3
  • EXPERIENCE: Launch unified patient app combining pharmacy, care and insurance with 4.5+ app store rating
  • INTEGRATION: Connect 100% of clinical systems to central patient data hub with <2s query response time
  • ADOPTION: Achieve 28M monthly active users on unified platform with 70%+ engagement across segments
CLOUD FIRST

Accelerate cloud migration and technical debt reduction

  • MIGRATION: Complete cloud migration for 75% of legacy applications with zero customer disruption
  • MODERNIZATION: Refactor 40% of monolithic applications to microservices architecture by Q4
  • COSTS: Reduce infrastructure costs by 30% compared to on-premise baseline through optimization
  • PERFORMANCE: Achieve 99.99% availability for all patient-facing services in cloud environment
DATA UNLOCKED

Create integrated data foundation for insights and AI

  • PLATFORM: Implement enterprise data lake with 100% of critical data sources connected and governed
  • ANALYTICS: Deliver self-service analytics platform used by 1,000+ employees with <1 day training
  • INSIGHTS: Generate 50+ actionable clinical insights per quarter that improve patient outcomes
  • GOVERNANCE: Establish data quality framework achieving 95%+ accuracy across critical data elements
AI EXCELLENCE

Build healthcare AI capabilities to transform experiences

  • TALENT: Hire and onboard 50 AI specialists with healthcare domain expertise across key functions
  • INNOVATION: Implement 5 high-impact AI use cases delivering $75M+ in value through automation/insights
  • PLATFORM: Launch enterprise AI platform with healthcare-specific tools used by 500+ developers
  • GOVERNANCE: Establish comprehensive AI ethics framework with 100% compliance for all deployments
METRICS
  • Digital engagement: 50M active users by Q4 2024
  • Technology NPS: Increase from 34 to 65 by year-end 2024
  • Patient acquisition: 2.5M new digitally-engaged patients per quarter
VALUES
  • Innovation: Continuously seeking better ways to deliver healthcare through technology
  • Collaboration: Working across disciplines to create seamless healthcare experiences
  • Integrity: Building secure, reliable systems that patients and clinicians can trust
  • Accountability: Taking ownership of technology solutions that impact millions of lives
  • Customer-focus: Engineering with the end-user's healthcare journey at the center
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Align the learnings

CVS Health Engineering Retrospective

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To build technology systems that make healthcare accessible, affordable, and simple by reimagining healthcare experiences through digital innovation

What Went Well

  • DIGITAL: Expanded digital engagement by 18% YoY reaching 43M active user
  • INTEGRATION: Successfully consolidated 3 legacy EHRs to unified platform
  • REVENUE: Tech-enabled services drove $2.1B in new healthcare revenue
  • EFFICIENCY: Cloud migration reduced infrastructure costs by 22% YoY
  • INNOVATION: Launched AI-powered medication adherence platform successfully

Not So Well

  • DELIVERY: Key digital transformation initiatives fell behind schedule
  • QUALITY: Several critical production incidents impacted patient services
  • ADOPTION: Clinician utilization of new digital tools below expectations
  • SECURITY: Remediation of identified vulnerabilities exceeded timelines
  • COSTS: Technology modernization expenses 14% above budget forecasts

Learnings

  • CHANGE: Need more robust change management for clinical tech adoption
  • ARCHITECTURE: Microservices approach outperforming monolithic systems
  • PARTNERSHIPS: Strategic vendor relationships accelerating capabilities
  • METHODOLOGY: Agile teams with clinical embeds producing better outcomes
  • FOCUS: Fewer concurrent initiatives lead to higher quality deliverables

Action Items

  • STANDARDS: Implement enterprise architecture governance framework by Q3
  • TALENT: Launch technology leadership development program for top 100
  • DELIVERY: Establish technical program management office for key programs
  • SECURITY: Complete zero-trust architecture implementation by year-end
  • AUTOMATION: Increase automated test coverage to 80% for critical systems
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Drive AI transformation

CVS Health Engineering AI Strategy SWOT Analysis

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To build technology systems that make healthcare accessible, affordable, and simple by reimagining healthcare experiences through digital innovation

Strengths

  • DATA: Massive clinical, pharmacy and claims data for AI training
  • REACH: Ability to deploy AI solutions to millions of patients daily
  • PARTNERS: Strong relationships with healthcare AI innovators
  • USE CASES: Clear applications for AI across healthcare continuum
  • INVESTMENT: Demonstrated commitment to digital transformation

Weaknesses

  • TALENT: Limited in-house AI expertise compared to tech leaders
  • INTEGRATION: Challenges connecting AI models across business units
  • GOVERNANCE: Underdeveloped AI ethics and governance frameworks
  • INFRASTRUCTURE: Legacy systems limiting AI model performance
  • ADOPTION: Organizational resistance to AI-driven workflows

Opportunities

  • PERSONALIZATION: AI-driven health insights at individual level
  • OPERATIONS: Process automation reducing administrative burden
  • DIAGNOSIS: AI-augmented clinical decision support systems
  • PREVENTION: Predictive analytics to identify at-risk patients
  • ENGAGEMENT: Conversational AI for streamlined patient interactions

Threats

  • COMPETITION: Tech firms with superior AI capabilities entering health
  • QUALITY: Patient safety risks from inadequately tested AI systems
  • PRIVACY: Regulatory scrutiny over AI use with sensitive health data
  • BIAS: Potential for AI to perpetuate healthcare disparities
  • TRANSPARENCY: Growing demand for explainable AI in healthcare

Key Priorities

  • PLATFORM: Build enterprise AI platform with healthcare-specific tools
  • TALENT: Create AI Center of Excellence with healthcare domain focus
  • PARTNERSHIPS: Accelerate innovation through AI startup ecosystem
  • GOVERNANCE: Establish robust AI ethics framework for healthcare