CVS Health logo

CVS Health Engineering

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

Stay Updated on CVS Health

Get free quarterly updates when this SWOT analysis is refreshed.

CVS Health logo
Align the strategy

CVS Health Engineering SWOT Analysis

|

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  • LEGACY: Outdated systems requiring significant modernization efforts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
CVS Health logo
Align the plan

CVS Health Engineering OKR Plan

|

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
CVS Health logo
Align the learnings

CVS Health Engineering Retrospective

|

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
CVS Health logo
Drive AI transformation

CVS Health Engineering AI Strategy SWOT Analysis

|

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