Carve-Out Tech Modernisation for Healthcare Acquisitions

Table of Contents

1. Why Carve-Out Tech Modernisation Matters in Healthcare
2. The Diligence Framework: What to Assess
3. Architecture Audit and Compliance Readiness
4. Building Your 90-Day Modernisation Roadmap
5. AI and Automation Capability Rollout
6. Security, Audit-Readiness, and Regulatory Positioning
7. Fractional CTO Leadership and Execution
8. Value Creation Benchmarks and Exit Positioning
9. Common Pitfalls and How to Avoid Them
10. Next Steps: Building Your Operating Plan

---

Why Carve-Out Tech Modernisation Matters in Healthcare

Healthcare acquisitions are uniquely complex. You’re not just buying revenue and customer relationships—you’re inheriting regulated systems, patient data, compliance obligations, and often legacy technology that was never designed to be separated from the parent organisation.

When a private equity firm acquires a healthcare business (whether a digital health platform, a medical device software division, or a healthcare services provider with embedded tech), the carve-out process creates a critical window of opportunity—and risk. The technology stack must work independently, comply with healthcare regulations, and deliver measurable value quickly. Miss this window, and you’ll spend the next 18 months firefighting, losing key engineering talent, and watching your exit multiple compress.

Carve-out tech modernisation is the discipline of taking a separated healthcare business’s technology, assessing what works and what doesn’t, and systematically upgrading it to be compliant, operationally efficient, and positioned for growth or exit. This isn’t a 12-month project. It’s a 90-day sprint followed by ongoing capability rollout.

The stakes are high. According to analysis from Healthcare Dive’s coverage of healthcare M&A and digital transformation, technology readiness is now a top three value-creation lever in healthcare deals, alongside revenue synergies and operational cost reduction. Companies that nail tech modernisation during carve-out typically see 15–25% EBITDA uplift within 12 months, faster revenue scaling, and 20–30% higher exit multiples.

This guide is a playbook for PE operating partners, CFOs, and portfolio company CEOs navigating healthcare carve-outs. It covers diligence, execution, and exit positioning with real benchmarks.

---

The Diligence Framework: What to Assess

Understanding the Current State

Before you can modernise, you need to know what you’re working with. Healthcare carve-outs often reveal three categories of technical debt:

Embedded Systems: Software that was tightly integrated with the parent company’s infrastructure—single sign-on, shared data warehouses, consolidated billing systems, or centralised compliance monitoring. These must be replicated or replaced.

Regulated Legacy Code: Systems built under GxP, HIPAA, or FDA guidelines (if applicable) that may be fragile, poorly documented, and expensive to modify. These need audit-readiness assessment and compliance mapping.

Operational Unknowns: Undocumented integrations, custom scripts, manual processes, and shadow IT that nobody fully understands but the business depends on.

Your diligence should answer these questions:

• Data Architecture: Where does patient data live? Is it encrypted at rest and in transit? Are there HIPAA-compliant backups and disaster recovery procedures? Can the system be cleanly separated from the parent’s infrastructure?
• Application Inventory: What systems are in production? Which are homegrown, which are vendor software? What’s the licensing situation post-carve-out?
• Integration Dependencies: What data flows in and out? Are there real-time dependencies (e.g., billing, claims processing) that need to be replicated or rerouted?
• Compliance Status: Has the system been audited? Does it have SOC 2, ISO 27001, or HIPAA audit documentation? What gaps exist?
• Team and Knowledge: How many engineers are there? What’s their experience with regulated systems? How much knowledge is tribal?
• Infrastructure and Cloud: Is the system on-premise, cloud-based, or hybrid? Is there a clear cloud strategy? What’s the cost structure?

This diligence typically takes 3–4 weeks with a fractional CTO or technical advisor embedded in the deal. The output is a 20–30 page technical assessment, a compliance gap analysis, and a preliminary 90-day roadmap.

Creating a Technical Baseline

Document everything. Create a technical baseline that includes:

• Architecture diagrams (current state and target state)
• Data flow diagrams (especially sensitive data flows)
• Compliance checklist (what regulations apply, what’s already in place, what’s missing)
• Risk register (what could break post-carve-out, what’s high-risk)
• Cost analysis (current infrastructure spend, projected spend post-carve-out)

This baseline becomes your reference point for the next 18 months. It’s also valuable for diligence conversations with potential acquirers at exit.

---

Architecture Audit and Compliance Readiness

Assessing Regulated Architecture

Healthcare technology is regulated in ways that other industries aren’t. You need to understand what regulations apply to your specific business:

• HIPAA (Health Insurance Portability and Accountability Act): If you handle protected health information (PHI), you must comply. This covers data encryption, access controls, audit logs, and breach notification.
• HITECH Act: Extends HIPAA liability to business associates and vendors.
• State Privacy Laws: California (CCPA), Virginia (VCDPA), and other states have their own healthcare data privacy rules.
• FDA Regulations: If your software is classified as a medical device (or if you’re in digital health), FDA oversight applies. 21 CFR Part 11 covers electronic records and signatures.
• State Licensing: Healthcare providers and platforms may be subject to state licensing requirements that include technology standards.

Your architecture audit should map the current system against these requirements. The HHS HIPAA Privacy Rule is the canonical reference, but you’ll also need to consult HealthIT.gov’s health IT security resources for practical safeguards and risk management frameworks.

Many healthcare carve-outs fail at this stage because the parent company’s compliance infrastructure was centralised. The carve-out inherits the liability but not the compliance machinery. You need to build:

• Data Governance: Clear policies on who can access what data, how it’s classified, and how it’s disposed of.
• Access Controls: Role-based access, multi-factor authentication, privileged access management.
• Audit Logging: Every access to PHI must be logged and auditable.
• Encryption: Data at rest and in transit, with key management.
• Incident Response: A plan for detecting, responding to, and reporting breaches.

Building Audit-Readiness via SOC 2 and ISO 27001

Healthcare companies increasingly need SOC 2 Type II or ISO 27001 certification to close enterprise deals or comply with customer contracts. These certifications are also table stakes for many PE exits—acquirers want proof that security and compliance are embedded in operations, not bolted on.

Don’t wait until you’re preparing for exit to start this work. Build audit-readiness into your 90-day plan. Using a tool like Vanta can compress the timeline from 6–9 months to 8–12 weeks by automating evidence collection and control mapping. PADISO’s Security Audit service helps portfolio companies get audit-ready in weeks, not months, via Vanta integration and control implementation.

The typical path:

1. Week 1–2: Map current controls against SOC 2 / ISO 27001 frameworks using Vanta.
2. Week 3–4: Implement missing controls (access management, logging, encryption, incident response).
3. Week 5–8: Evidence collection and remediation.
4. Week 9–12: Audit and certification.

This is a 90-day sprint, not a 12-month slog. The key is having a fractional CTO or security lead embedded in the work.

---

Building Your 90-Day Modernisation Roadmap

Phase 1: Stabilise and Separate (Weeks 1–4)

The first month is about making the carve-out operationally independent and stable. You’re not building new features. You’re ensuring the lights stay on and the business doesn’t break.

Key Deliverables:

• Infrastructure Separation: If the business is running on the parent company’s cloud account, databases, or on-premise systems, you need to replicate or migrate to independent infrastructure. This is often the highest-risk work. Plan for 2–4 weeks depending on complexity.
• Data Migration: If PHI or sensitive operational data is intermingled with parent systems, you need a clean separation plan. This requires careful data mapping, validation, and often re-encryption.
• Authentication and Identity: Set up independent single sign-on (SSO) and identity management. Many carve-outs are still using the parent’s Active Directory or Okta instance.
• Backup and Disaster Recovery: Ensure you have independent backups and a tested DR plan. Healthcare systems can’t afford downtime.
• Vendor and License Assessment: Identify all software licenses, SaaS subscriptions, and vendor relationships that need to be transferred or renegotiated post-carve-out.

This phase is heavy lifting. Budget 2–3 senior engineers and a fractional CTO working full-time. If you get this wrong, everything downstream suffers.

Phase 2: Compliance and Audit Readiness (Weeks 5–8)

Once the system is stable and separated, focus on compliance positioning. This is where SOC 2 / ISO 27001 audit-readiness work happens.

Key Deliverables:

• Access Control Implementation: Role-based access control (RBAC), multi-factor authentication (MFA), and privileged access management (PAM) for all systems.
• Encryption and Key Management: Ensure data at rest is encrypted, data in transit uses TLS, and encryption keys are managed securely.
• Audit Logging: Centralised logging for all systems, with log retention and analysis capabilities.
• Incident Response Plan: A documented, tested plan for detecting and responding to security incidents.
• Vendor Risk Management: Assessment of third-party vendors and their security posture.
• Data Classification and Handling: Clear policies on how different types of data are handled, stored, and disposed of.

This is where Vanta becomes invaluable. It automates the evidence collection and control mapping, reducing the manual compliance work by 60–70%.

Phase 3: Capability Rollout (Weeks 9–12 and Beyond)

Once the business is stable and audit-ready, you can start building new capabilities. This is where value creation accelerates.

Quick Wins (Weeks 9–12):

• Operational Automation: Identify high-touch, manual processes and automate them. In healthcare, this often means claims processing, patient scheduling, or clinical documentation workflows.
• Analytics and Reporting: Build dashboards and reporting that the business leadership didn’t have visibility into before. This is often a quick 2–3 week project with high impact.
• API and Integration Layer: If the business needs to integrate with external systems (EHRs, billing platforms, insurance systems), build a clean API layer.
• Performance Optimisation: If the legacy system is slow, identify bottlenecks and optimise. This can often yield 30–50% performance improvements with targeted work.

Medium-Term (Months 4–12):

• AI and Automation Capability: Once the foundation is solid, start rolling out AI-driven automation. In healthcare, this might be clinical documentation assistance, patient risk stratification, revenue cycle optimisation, or operational forecasting.
• Platform Re-platforming: If the legacy system is a monolith or severely constrained, plan a phased migration to a modern, scalable architecture.
• Data Platform Modernisation: Build a modern data platform for analytics, reporting, and AI. This is where you unlock the most value in the long term.

---

AI and Automation Capability Rollout

Where AI Drives Value in Healthcare Carve-Outs

AI and automation are no longer nice-to-haves in healthcare. They’re operational necessities. The question isn’t whether to roll out AI—it’s how fast and in what order.

Common high-impact AI use cases in healthcare carve-outs:

Clinical Documentation: AI-assisted clinical note generation, reducing physician documentation time by 20–40% and improving coding accuracy. This directly impacts reimbursement and physician satisfaction.

Revenue Cycle Optimisation: AI models that predict claim denials, flag coding issues, and optimise prior authorisation workflows. This can improve clean claim rates by 10–15% and reduce days sales outstanding (DSO) by 5–10 days.

Patient Risk Stratification: AI models that identify high-risk patients for early intervention, reducing readmissions and improving outcomes. This is particularly valuable for value-based care arrangements.

Operational Forecasting: AI models that predict patient volume, staffing needs, and resource allocation. This improves operational efficiency and reduces waste.

Chatbots and Virtual Assistants: AI-powered patient engagement tools for appointment scheduling, symptom triage, and post-visit follow-up. This reduces administrative burden and improves patient experience.

Building an AI Readiness Assessment

Before you build, assess your readiness. An AI readiness assessment answers:

• Data Readiness: Do you have clean, labelled, representative data? How much historical data do you have? Is the data quality sufficient for ML?
• Infrastructure Readiness: Do you have the compute, storage, and networking to support AI workloads? Can you handle real-time inference if needed?
• Talent Readiness: Do you have data scientists, ML engineers, or the ability to hire them? Can you build and maintain AI systems in-house, or do you need external support?
• Process Readiness: Are your business processes documented and stable enough to automate? Do you have clear KPIs to measure AI impact?
• Regulatory Readiness: If your AI system influences clinical decisions, does it need FDA approval? How do you ensure explainability and auditability?

Many healthcare carve-outs skip this assessment and end up building AI systems that don’t work because the underlying data or processes aren’t ready. Take 2–3 weeks to do this properly.

AI Orchestration and Agentic Workflows

The next frontier in healthcare automation is agentic AI—systems that can autonomously complete multi-step workflows, make decisions, and escalate exceptions. This is where you unlock 2–3x more value than traditional automation.

Example: A revenue cycle agent that takes a claim denial, investigates the reason, determines the appropriate remedy (resubmission, appeal, or write-off), and executes it—with human oversight for complex cases. This can reduce claim processing time from days to hours and improve claim recovery rates by 20–30%.

Building agentic workflows requires:

1. Clear Process Definition: The workflow must be well-defined, with clear decision points and escalation rules.
2. Data Integration: The agent needs access to all relevant data systems (claims, patient records, insurance rules, etc.).
3. Tool Integration: The agent needs to be able to take actions—submit claims, send messages, update records, etc.
4. Human Oversight: There must be clear rules for what the agent can do autonomously and what requires human review.
5. Monitoring and Improvement: You need to monitor agent performance, identify failures, and continuously improve the system.

This is where working with a partner like PADISO becomes valuable. PADISO’s AI & Agents Automation service helps portfolio companies design and implement agentic workflows that compress timelines and unlock new value.

---

Security, Audit-Readiness, and Regulatory Positioning

The Compliance Checklist for Healthcare Carve-Outs

Compliance is not a one-time project—it’s a continuous discipline. But there are specific checkpoints you need to hit during carve-out.

Pre-Close Diligence:

• HIPAA compliance assessment (data handling, access controls, encryption)
• Current security certifications or audit reports (SOC 2, ISO 27001, etc.)
• Vendor and third-party risk assessment
• Regulatory licensing status (state licensing, FDA classification if applicable)
• Known security incidents or breaches in the past 3 years

Post-Close (First 90 Days):

• Independent security assessment (penetration testing, code review)
• HIPAA risk assessment and remediation plan
• SOC 2 Type II audit initiation (targeting completion in 9–12 months)
• ISO 27001 certification plan (if required for enterprise sales)
• Incident response plan and tabletop exercise
• Vendor risk management programme
• Data governance and classification framework

Ongoing (Year 1+):

• Quarterly security reviews and vulnerability management
• Annual penetration testing
• Continuous compliance monitoring (via Vanta or similar)
• Regular security awareness training for staff
• Incident response drills

Navigating HIPAA During Carve-Out

HIPAA compliance is non-negotiable in healthcare. During carve-out, HIPAA obligations don’t disappear—they shift. You need to understand:

• Covered Entity vs. Business Associate: Is your carve-out a HIPAA-covered entity (e.g., a healthcare provider) or a business associate (e.g., a software vendor)? This determines your obligations.
• Business Associate Agreements (BAAs): If you’re working with vendors or cloud providers, they need to sign BAAs. During carve-out, you may need to renegotiate these.
• Data Breach Notification: If there’s a breach of PHI, you have 60 days to notify affected individuals. Have a plan for this.
• Minimum Necessary: You must limit access to PHI to what’s necessary for the job function. Implement role-based access controls.
• Audit Controls: You must log and audit all access to PHI. Centralised logging is essential.

Reference the HHS HIPAA Privacy Rule for the authoritative guidance, but consider engaging a healthcare compliance consultant to navigate the specifics of your carve-out.

Preparing for Exit: Compliance as a Value Driver

When you exit, acquirers will scrutinise compliance. A portfolio company with SOC 2 Type II certification, a clean HIPAA assessment, and documented security controls is worth 5–10% more than one without.

Start building this credibility early. Don’t wait until you’re in exit diligence to get compliant. By the time you’re 12 months into ownership, you should have:

• SOC 2 Type II certification in progress or complete
• Clean HIPAA assessment with remediation plan
• ISO 27001 certification (if targeting enterprise customers)
• Documented security controls and incident response plan
• Regular security assessments and penetration testing

This positions you as a professional, well-run business—which is exactly what acquirers want to see.

---

Fractional CTO Leadership and Execution

Why Fractional CTO Leadership Matters in Carve-Outs

Most healthcare carve-outs lack strong technical leadership at the outset. The CTO may have left with the parent company, or the business may have been a division without independent technical leadership.

This is a critical gap. You need someone who can:

• Make Architecture Decisions: Should you stay on the legacy platform or migrate? Should you build in-house or partner? These decisions compound over time.
• Lead Technical Diligence: Understand what you’re inheriting and what needs to change.
• Build and Manage the Engineering Team: Hire, retain, and develop talent. Many engineers leave during carve-out because they’re uncertain about the new direction.
• Communicate with the Board: Translate technical decisions into business impact. Help the board understand trade-offs and timelines.
• Execute the Modernisation Roadmap: Own the 90-day plan and subsequent capability rollout.

You have three options:

1. Hire a Full-Time CTO: This is the ideal long-term solution, but it takes 3–6 months to find the right person and they need to ramp up on the business.
2. Promote an Internal Engineer: If you have strong technical talent, this can work. But they may lack the breadth of experience for a carve-out.
3. Engage a Fractional CTO: This is the fastest way to inject senior technical leadership. A fractional CTO can start immediately, make critical decisions in the first 90 days, and help you hire a full-time CTO later.

Most successful healthcare carve-outs use a hybrid approach: a fractional CTO for the first 6–12 months (20–40 hours per week) paired with internal engineering leadership.

What a Fractional CTO Does in a Healthcare Carve-Out

Weeks 1–4: Assessment and Stabilisation

• Lead technical diligence
• Create the technical baseline and compliance assessment
• Identify immediate risks and stabilisation priorities
• Begin infrastructure separation work
• Set up daily standups and communication cadence

Weeks 5–12: Roadmap and Execution

• Finalise the 90-day modernisation roadmap
• Lead compliance and audit-readiness work
• Oversee infrastructure separation and data migration
• Begin hiring for key roles (senior backend engineer, security engineer, etc.)
• Start AI readiness assessment

Months 4–12: Capability Rollout and Transition

• Oversee AI and automation capability rollout
• Support hiring and onboarding of permanent CTO or VP Engineering
• Transition roadmap ownership to internal team
• Provide ongoing strategic advice (10–20 hours per week)

Fractional CTO services from firms like PADISO’s Fractional CTO advisory are particularly valuable in healthcare because they bring domain expertise in regulated systems, compliance, and healthcare-specific architecture.

Building Your Technical Team

During carve-out, you’ll need to build or restructure your technical team. Key roles:

• VP Engineering or Engineering Manager: Owns day-to-day engineering operations, hiring, and team development.
• Senior Backend Engineer: Owns architecture and infrastructure decisions.
• Security Engineer: Owns compliance, audit-readiness, and security controls.
• Data Engineer: Owns data pipelines, analytics, and data governance.
• Product Manager: Owns roadmap prioritisation and customer feedback integration.

Hire in this order: VP Engineering (or promote internally), Security Engineer, Senior Backend Engineer, then Product Manager. Data Engineer can come later once you have a clear data strategy.

Retention is critical. Many engineers leave during carve-out because they’re uncertain about the new direction. Communicate clearly about the vision, the modernisation plan, and career opportunities. Consider retention bonuses for key players.

---

Value Creation Benchmarks and Exit Positioning

Measuring Value Creation

Value creation in healthcare carve-outs comes from three levers:

1. Revenue Growth

Modernised technology enables faster growth:

• Improved Product: New features and capabilities that customers want. Typical uplift: 5–15% revenue growth.
• Faster Go-to-Market: Ability to launch new products or enter new markets. Typical uplift: 10–20% revenue growth.
• Enterprise Sales Motion: SOC 2 / ISO 27001 certification enables enterprise customer acquisition. Typical uplift: 20–50% new customer acquisition.

2. Operational Efficiency

Modernised systems and automation reduce costs:

• Labour Reduction: Automation reduces manual work. Typical reduction: 15–30% of operational staff.
• Infrastructure Cost: Modernising to cloud or optimising infrastructure reduces costs. Typical reduction: 20–40%.
• Claims Processing: AI and automation in revenue cycle improves clean claim rates and reduces DSO. Typical improvement: 10–15% claims processed, 5–10 days DSO reduction.

3. Exit Multiple Expansion

Technology and compliance improvements expand exit multiples:

• SOC 2 / ISO 27001 Certification: +5–10% multiple expansion.
• Documented, Scalable Architecture: +5–10% multiple expansion.
• AI and Automation Capabilities: +10–20% multiple expansion (if proven ROI).
• Clean Compliance and Security Posture: +5–10% multiple expansion.

Typical Value Creation Timeline

Months 0–3: Stabilisation

• No revenue impact, but you’ve prevented catastrophic failure.
• Compliance foundation laid (SOC 2 audit initiated, HIPAA assessment complete).
• Engineering team stabilised and hiring underway.
• Value created: $0–2M EBITDA (mostly cost avoidance).

Months 4–6: Quick Wins

• First automation projects live (e.g., claims processing, scheduling).
• First new features or products launched.
• SOC 2 audit on track for completion.
• Value created: $2–5M EBITDA (mix of revenue and cost).

Months 7–12: Capability Rollout

• AI and automation at scale (revenue cycle, clinical documentation, risk stratification).
• Enterprise sales motion enabled by compliance certifications.
• Platform modernisation underway.
• Value created: $5–15M EBITDA (revenue growth + operational efficiency).

Months 13–24: Sustained Growth

• New products or services launched.
• Market expansion (new geographies, new customer segments).
• Platform fully modernised.
• Value created: $10–30M EBITDA (revenue growth + sustained efficiency).

These are benchmarks based on typical healthcare carve-outs in the $50–200M revenue range. Smaller businesses may see faster percentage improvements but smaller absolute numbers. Larger businesses may see slower percentage improvements but larger absolute numbers.

Exit Positioning: The Technical Story

When you exit, acquirers will ask:

• Architecture: Is it scalable? Is it built on modern technology? Can it handle 3–5x growth?
• Compliance: Is it SOC 2 / ISO 27001 certified? Has it been independently audited?
• Data: Is the data clean and usable? Can you do analytics and AI on it?
• Team: Do you have strong technical leadership? Can the team execute the roadmap?
• Roadmap: What’s next? What’s the vision for the next 3–5 years?

Build the answers to these questions into your operating plan from day one. By the time you’re exiting, the technical story should be clear, compelling, and backed by evidence.

Consider engaging a partner like PADISO to help with platform development and technical strategy, especially if you’re targeting a strategic or financial buyer who will scrutinise the technology.

---

Common Pitfalls and How to Avoid Them

Pitfall 1: Underestimating Infrastructure Separation

What Goes Wrong: The carve-out inherits systems that are deeply integrated with the parent company. Separating them takes longer and costs more than expected. The business experiences downtime or data loss during migration.

How to Avoid It:

• Spend 2–3 weeks on detailed infrastructure assessment before close.
• Create a detailed separation plan with clear dependencies and risk mitigation.
• Allocate 2–3 senior engineers full-time for 4–6 weeks.
• Test the separation in a staging environment before cutting over.
• Plan for 2–3 weeks of stabilisation after cutover.

Pitfall 2: Ignoring Compliance Until Exit Diligence

What Goes Wrong: The business skips compliance work during the first year, thinking it can catch up later. When exit diligence happens, the lack of SOC 2 / ISO 27001 certification becomes a deal killer or a multiple compressor.

How to Avoid It:

• Initiate SOC 2 audit within 30 days of close.
• Hire a security engineer in the first 90 days.
• Build compliance into your operating plan and KPIs.
• Use Vanta or similar to automate evidence collection and stay audit-ready.

Pitfall 3: Losing Key Engineers

What Goes Wrong: The carve-out creates uncertainty. Key engineers leave because they don’t trust the new leadership or the direction. The business loses critical knowledge and momentum.

How to Avoid It:

• Communicate a clear vision and roadmap within 2 weeks of close.
• Identify key engineers and have retention conversations.
• Consider retention bonuses for critical roles.
• Hire a VP Engineering or strong engineering manager quickly.
• Engage a fractional CTO to provide external credibility and leadership.

Pitfall 4: Building AI Systems Without a Foundation

What Goes Wrong: The business jumps into AI and automation projects before the foundation is solid. The legacy systems can’t support AI workloads, the data isn’t clean, and the projects fail or don’t deliver ROI.

How to Avoid It:

• Complete infrastructure separation and stabilisation first (Months 1–3).
• Do an AI readiness assessment (Weeks 5–8).
• Start with high-confidence use cases (e.g., claims processing, scheduling).
• Build a data platform before building AI models.
• Measure ROI on every AI project and adjust based on results.

Pitfall 5: Underestimating Regulatory Complexity

What Goes Wrong: The business underestimates the regulatory requirements of healthcare. They miss HIPAA obligations, FDA classification, or state licensing requirements. This creates legal and operational risk.

How to Avoid It:

• Engage a healthcare compliance consultant early.
• Reference CDC guidance on healthcare mergers and acquisitions for regulatory considerations.
• Map all applicable regulations (HIPAA, FDA, state licensing, etc.).
• Create a compliance roadmap with clear milestones.
• Build compliance into your engineering culture, not as a separate function.

---

Next Steps: Building Your Operating Plan

Week 1: Assemble Your Team

1. Engage a Fractional CTO (if you don’t have internal CTO leadership). This should be someone with healthcare experience and carve-out expertise. Target 20–40 hours per week for the first 6–12 months. PADISO offers fractional CTO advisory tailored to healthcare and regulated industries.

2. Hire or Promote a VP Engineering / Engineering Manager. This person will own day-to-day operations, hiring, and team development.

3. Engage a Healthcare Compliance Consultant. This person will help you navigate HIPAA, FDA, state licensing, and other regulatory requirements.

4. Allocate a Project Manager. Someone needs to own the 90-day plan, track progress, and communicate status to the board.

Week 2–4: Technical Diligence

1. Create the Technical Baseline: Architecture diagrams, data flow diagrams, compliance checklist, risk register, cost analysis.

2. Compliance Assessment: Map current state against HIPAA, FDA, state licensing, and other applicable regulations. Identify gaps.

3. Infrastructure Separation Plan: Detailed plan for separating from parent company systems, with timelines and risk mitigation.

4. Vendor and License Assessment: Identify all software licenses, SaaS subscriptions, and vendor relationships that need to be transferred or renegotiated.

Week 5–12: 90-Day Modernisation Sprint

1. Phase 1 (Weeks 1–4): Stabilise and separate. Focus on infrastructure, data migration, authentication, backup/DR, and vendor management.

2. Phase 2 (Weeks 5–8): Compliance and audit-readiness. Focus on access controls, encryption, audit logging, incident response, and vendor risk management.

3. Phase 3 (Weeks 9–12): Quick wins and capability rollout. Focus on operational automation, analytics, API layer, and performance optimisation.

Month 4+: Sustained Value Creation

1. AI and Automation Rollout: Start with high-confidence use cases (claims processing, scheduling, clinical documentation).

2. Data Platform Modernisation: Build a modern data platform for analytics, reporting, and AI.

3. Platform Re-platforming (if needed): If the legacy system is severely constrained, plan a phased migration to a modern architecture.

4. Hiring and Team Development: Build a strong engineering team with permanent hires.

5. Exit Preparation: Build the technical story, get SOC 2 / ISO 27001 certified, and position for exit.

Key Metrics to Track

• Technical Debt: Lines of code, test coverage, deployment frequency, mean time to recovery (MTTR).
• Compliance: SOC 2 / ISO 27001 audit status, HIPAA assessment status, security incidents.
• Operational Efficiency: Infrastructure cost, labour cost, claims processing time, DSO.
• Revenue: New customer acquisition, expansion revenue, retention rate.
• Team: Engineering headcount, retention rate, hiring pipeline.

Review these metrics monthly with your fractional CTO and engineering leadership. Adjust the roadmap based on progress and learnings.

Final Thought

Healthcare carve-out tech modernisation is not a luxury—it’s a necessity. Companies that nail this process see 15–25% EBITDA uplift within 12 months and 20–30% higher exit multiples. Companies that skip it or delay it often struggle to grow, miss compliance deadlines, and exit at compressed multiples.

The window to build a strong technical foundation is the first 90 days. Use that window wisely. Assemble the right team, execute the modernisation plan with discipline, and build compliance and AI capabilities into your roadmap from day one.

If you’re navigating a healthcare carve-out and need technical leadership, diligence support, or help building your modernisation roadmap, PADISO can help. We’ve worked with PE firms and portfolio companies across healthcare, biotech, and regulated industries to deliver technology transformation, compliance readiness, and value creation.

Start with a 30-minute conversation to assess your situation and build your plan.