The Healthcare AI Pivot
A 24-month organizational transformation story
When a successful enterprise tech company sees an opportunity in healthcare AI, they trigger a chain of organizational changes: retraining engineers, building new teams, and managing the challenges of rapid transformation.
Technical Talent Evolution
Engineering teams adapt to new AI requirements
Department Restructuring
Teams reorganize around healthcare focus
Global Team Building
Expansion into international markets
3300+ → 4100+
24 Months transformation period
5+
Major organizational changes
3,000+
Connected events & employee data
The organization begins as a traditional healthcare technology company with core engineering teams focused on software development, platform infrastructure, and frontend applications. The clinical and healthcare divisions operate with established workflows around FHIR standards, healthcare integration, and privacy compliance. Product teams maintain a user-centric approach with dedicated analytics, design, and product management functions.
Engineering Evolution
Clinical Integration
International Growth
Organizational Culture
Leadership Changes
Key Events Timeline
Major milestones in the 24-month transformation journey
Strategic AI Pivot Announcement
Company announces strategic transformation towards AI-driven healthcare solutions. Engineering organization begins restructuring with focus on AI capabilities.
Initial Engineering Transformation
Senior engineers with AI expertise promoted to lead new initiatives. Traditional software engineering roles begin transition to AI-focused positions.
Engineering Split & New Leadership
Major restructuring creates distinct AI and Platform Engineering divisions. New CMO appointed to drive fresh clinical strategy.
Clinical Advisory Team Formation
Establishment of Clinical Advisory Team with AI ethics experts, medical affairs professionals, and clinical data scientists.
International Research Expansion
Clinical Research division expands to London and Singapore, bringing specialized expertise in regional healthcare systems.
Global Operations Enhancement
Dedicated HR, finance, and legal teams established to support international operations. Engineering organization stabilizes with clear AI/Platform delineation.
Product Portfolio Evolution
Analytics team expansion to support healthcare data insights. Implementation Services grows for complex system integrations.
Customer Success Launch
New Customer Success teams established to support expanding AI-enhanced healthcare solutions portfolio.
Regional AI Hubs Launch
London AI Engineering hub focuses on European healthcare systems, Singapore leads Asia-Pacific initiatives.
Ethics & Science Division Growth
Ethics & Science division emerges as key organization pillar, ensuring responsible AI deployment across diverse healthcare contexts.
Data Preview
Explore key metrics and patterns from the transformation story
Employee distribution across departments
Distribution of roles across organizational levels
Employee count across organizational levels
Data Structure
Comprehensive documentation of the dataset structure and fields
Data Dictionary
Event Types
New employee joining
Employee departure
Internal role/level/department change
Common Event Fields
{
"event_id": "evt_123456789", // Unique event identifier
"event_type": "hire", // Type of event (hire/termination/job_change)
"event_date": "2023-04-01", // ISO format date
"effective_date": "2023-04-01", // When change takes effect
"employee": {
"employee_id": "E123456789", // Unique employee identifier
"department": "AI Engineering", // Department name
"role": "AI Engineer II", // Role title (enum value)
"level": "Intermediate", // Level (enum value)
"manager_id": "E987654321" // Manager's employee ID
},
"changes": { // Event-specific changes
// Fields vary by event type - see below
},
"timestamp": "2023-04-01T09:00:00", // Event creation timestamp
"source_system": "HRIS" // System of record
}Event-Specific Change Fields
Hire Event
"changes": {
"employment_status": {
"old_value": "Inactive",
"new_value": "Active"
},
"department": {
"old_value": null,
"new_value": "AI Engineering"
},
"job_title": {
"old_value": null,
"new_value": "AI Engineer II"
},
"manager": {
"old_value": null,
"new_value": "E987654321"
},
"hire_type": "New Hire",
"start_date": "2023-04-01"
}Termination Event
"changes": {
"employment_status": {
"old_value": "Active",
"new_value": "Terminated"
},
"termination_type": "Voluntary", // Voluntary/Involuntary
"termination_reason": "Career Opportunity",
"last_day": "2023-04-01"
}Job Change Event
"changes": {
"employment_status": {
"old_value": "Active",
"new_value": "Active"
},
"department": {
"old_value": "Software Engineering",
"new_value": "AI Engineering"
},
"job_title": {
"old_value": "Software Engineer III",
"new_value": "AI Engineer III"
},
"manager": {
"old_value": "E111111111",
"new_value": "E222222222"
},
"transfer_type": "Department Transfer",
"transfer_date": "2023-04-01"
}Use Cases for PeopleSets: Healthcare AI Pivot
Discover how different teams can leverage this dataset
HR & People Analytics Teams
Visualize complex organizational dynamics like hiring patterns, team growth, and leadership structures. Use the data to test analytics dashboards or HRIS platforms with realistic, connected stories.
Data Scientists & Analysts
Train models with rich, narrative-driven data to identify patterns, validate algorithms, and simulate scenarios—like the impact of department splits or rapid headcount growth.
Product & Sales Teams at HR Tech Companies
Enhance product demos with authentic datasets that resonate with customers. Show how your solutions can handle real-world complexities in hiring, promotions, and organizational changes.
Professors & Educators in Business and HR
Provide students with a realistic dataset for teaching decision-making in leadership, strategy, and data-driven HR. The Healthcare AI Pivot brings textbook theories to life with real-world applications.