Choosing between Epic, Cerner (now Oracle Health), and athenahealth is one of the most consequential and expensive decisions a healthcare organization makes — and there is no single “best.” The right answer depends on your size, setting, specialties, budget, and integration needs. This comparison lays out where each platform tends to win, where each costs more, total-cost considerations, and migration realities. We are an EHR-vendor-neutral engineering firm: we do not resell any of these platforms, so this is guidance, not a pitch for one of them. For a focused two-way look, see our Cerner vs Epic article; this page adds athenahealth and the full decision framework. Get Independent EHR Selection & Implementation Guidance (Free 45-Min Consult) → (NDA-protected) EHR-vendor-neutral · integration experience across all three · BAA-ready · healthcare engineering credentials At a Glance — Quick Comparison Dimension Epic Cerner (Oracle Health) athenahealth Typical sweet spot Large health systems, academic medical centers Hospitals and health systems Ambulatory, independent and small-to-mid practices Delivery model Self-hosted or Epic-hosted Hosted / cloud (Oracle) Cloud-native, network-based Implementation effort High, multi-phase High for hospitals Lighter, faster for ambulatory Integration FHIR R4 + Connection Hub / App Orchard FHIR R4 + Code program FHIR R4 + Marketplace Best known for Integrated suite, MyChart Hospital breadth Cloud delivery, network services This is a high-level orientation; the sections below add the nuance, and your priorities determine the weighting. Epic — Strengths and Trade-offs Where Epic Wins Epic is strong for large, integrated health systems and academic medical centers — a broad, tightly integrated suite, a mature patient portal (MyChart), and deep adoption across big organizations. Where Epic Costs More That power comes with cost and effort: Epic implementations are large, multi-phase programs led by Epic, and the total investment is among the highest in the market. Best-Fit Organizations Large hospitals, academic centers, and integrated delivery networks that want one dominant platform and can fund the implementation. Cerner (Oracle Health) — Strengths and Trade-offs Where Cerner Wins Cerner has a large hospital footprint and strength across inpatient and health-system settings, with a long track record in acute care. Post-Oracle Acquisition Strategic Direction Since Oracle’s acquisition, some buyers weigh the platform’s evolving strategic direction and roadmap as part of the decision — a real consideration, though not inherently negative. Best-Fit Organizations Hospitals and health systems aligned with the platform’s direction, including organizations already invested in it. athenahealth — Strengths and Trade-offs Where athenahealth Wins athenahealth is cloud-native and network-based, with particular strength for ambulatory practices, independent groups, and small-to-mid organizations that value faster deployment and lower operational burden. Where athenahealth Doesn’t Fit It is generally a weaker fit for large inpatient and academic environments whose complexity favors the bigger hospital platforms. Best-Fit Organizations Ambulatory practices, independent and small-to-mid groups, and organizations that prioritize cloud delivery. Implementation Cost & Timeline Comparison Epic and Cerner hospital implementations are large, multi-phase programs typically measured in many months to multiple years, with correspondingly large budgets. athenahealth’s cloud model is generally faster and lighter to deploy for ambulatory settings. Exact cost and timeline depend heavily on your size, scope, and negotiation, so treat any single number with caution — we will model your specific case. Integration Capability Comparison FHIR API Maturity All three support FHIR R4, which US regulation mandates for patient-access and related APIs, so standards-based integration is possible with each — drawing on our FHIR API development work. Third-Party Marketplaces Each has a developer/marketplace program — Epic’s Connection Hub / App Orchard, Cerner’s Code program, and athenahealth’s Marketplace — with different access models and requirements. HL7 v2 Capabilities All three support HL7 v2 interfaces for traditional clinical integration, which remains essential in real environments — see our HL7 integration practice. Custom Integration Approaches Where the standard programs fall short, custom integration fills the gap. This is our core competency regardless of platform — see our Epic EHR integration work. Total Cost of Ownership (TCO) Considerations TCO is more than the license. It includes implementation, integration, training, ongoing support, and the hidden costs each platform carries — and those vary widely by organization and contract. Rather than quote misleading figures, we build a TCO comparison with you based on your size and scope, including the costs vendors do not advertise. Migration Considerations Moving Between These Platforms Migrations between these platforms are major programs. The data, integrations, and workflows all have to move — see our EHR migration services and dedicated Cerner-to-Epic migration practice. Migration Cost & Complexity Cost and complexity scale with environment size, integration footprint, and customization. We scope it precisely before you commit. Common Migration Triggers Consolidation, strategic-direction concerns, integration limits, and changing organizational needs are the usual triggers. Our Implementation & Migration Services Vendor-Neutral Guidance Because we do not resell any EHR, our selection guidance is independent — focused on the best fit for you, not a product we are paid to push. EHR Migration & Integration Where the EHR’s own configuration is led by the vendor, we own the surrounding work: migration between platforms (see EHR migration and Allscripts migration), and integration of your other systems with whichever EHR you run. Post-Implementation Optimization After go-live, we build the integrations, custom apps, and workflow improvements that make the platform work for you — on our custom healthcare software foundation. Get Independent EHR Selection & Implementation Guidance (Free 45-Min Consult) → Frequently Asked Questions Which EHR is best for a hospital, practice, or specialty? There is no universal best. Large hospitals and academic centers often favor Epic or Cerner; ambulatory and independent practices often favor athenahealth; specialty groups sometimes find none of the three fit well and consider a custom EHR. The right answer depends on your setting, specialties, budget, and integration needs — which is what a selection consult sorts out. Should we migrate from Cerner to Epic now? Only if there is a clear strategic reason — and the decision deserves a real evaluation, not a reflex. We give independent guidance on whether a move is justified and, if

Healthcare AI is the hottest budget line in the industry and one of the easiest to misjudge — the model is the cheap part, and the validation, integration, compliance, and ongoing inference are where the money goes. This guide breaks down healthcare AI cost by stage, by use case, by model approach, and by deployment, plus the hidden costs that catch teams out, so you can budget realistically. Figures below are typical ranges; your number depends on scope. For an instant ballpark, try our interactive AI cost calculator; this page is the detailed breakdown behind it. For software cost more broadly, see our healthcare software development cost guide. Get a Custom Healthcare AI Cost Estimate (Free 60-Min Workshop) → (NDA-protected) Healthcare AI specialist team · LLM engineering credentials · HIPAA + BAA Healthcare AI Cost by Stage Cost by Use Case AI Medical Scribe MVP $100K–$300K; production $300K–$1M+ — see our AI medical scribe development. Clinical Decision Support Rule-based $75K–$200K; ML-based $200K–$700K — see our clinical decision support practice. AI Medical Coding CAC add-on $150K–$500K; autonomous coding $400K–$1.5M — see our AI medical coding practice. Healthcare Chatbot Basic RAG-based $50K–$150K; production with EHR integration $150K–$500K — built on our healthcare RAG work. Clinical NLP Specific use case $75K–$300K; platform / multi-use-case $300K–$1M+ — see our clinical NLP practice. Model Approach Cost Differences Foundation models (GPT-4, Claude, Gemini) + RAG are usually the fastest and lowest upfront path. Fine-tuning open source (Llama, Mistral) adds tuning and hosting cost but can lower long-run inference and enable on-prem. Custom model training is the most expensive and rarely necessary. Specialty-adapted models sit in between, tuned to your domain. We match the approach to your accuracy, cost, latency, and data-sovereignty needs rather than defaulting to the most expensive one. Deployment Cost Differences Cloud LLM provider (BAA-covered) is fastest to stand up; cost scales with usage. On-premises deployment has higher upfront cost but contains data and can lower per-inference cost at scale — see our on-prem LLM work. Hybrid balances the two. Edge / client-side suits specific low-latency or privacy cases. The right choice is as much a compliance decision as a cost one. Hidden Healthcare AI Costs The costs teams underestimate: LLM inference costs (recurring and easy to under-model at scale), clinical validation studies, FDA SaMD submission where applicable, bias and fairness testing, and continuous monitoring. We surface all of these up front so the budget is real, not just the build estimate. Compliance & Governance Cost Layers Budget for HIPAA-compliant deployment (see our HIPAA-compliant development and data security practices), audit-logging architecture, FDA SaMD where applicable, and AI governance and documentation — the controls that make healthcare AI defensible rather than just functional. ROI Calculation Framework We frame ROI around productivity gains (clinician and staff time recovered), cost avoidance (rework, errors, labor), and revenue acceleration (faster billing, captured charges). A pilot is the cheapest way to measure these on real data before committing to production scale. Get a Custom Healthcare AI Cost Estimate (Free 60-Min Workshop) → Frequently Asked Questions Should we start with PoC or production? Almost always a PoC or pilot first. For $50K–$150K you validate feasibility, accuracy, and value on real data before committing the much larger production budget — and if it does not work, you have saved the larger investment. We design pilots so the work feeds directly into production if it succeeds. Cloud LLM vs. on-prem cost? Cloud is cheaper and faster to start and scales with usage; on-prem has higher upfront cost but can lower per-inference cost at scale and keeps data in your environment. For many organizations the deciding factor is data sovereignty and compliance rather than cost alone. We model both for your volume. ROI timeline for healthcare AI? It varies by use case. High-volume, labor-heavy workflows (documentation, coding) tend to show return fastest; clinical and diagnostic AI takes longer because of validation and adoption. We build an ROI estimate with you so the timeline is grounded in your numbers. Can we use open-source models to reduce cost? Often, yes. Open-source models (Llama, Mistral) can reduce long-run inference cost and enable on-prem deployment, at the cost of more tuning and hosting work. Whether they lower your total cost depends on volume and accuracy needs, which we evaluate rather than assume. Get a Custom Healthcare AI Cost Estimate (Free 60-Min Workshop) → Reviewed by Taction Software’s healthcare AI engineering team. ISO 27001-certified information security management. PHI is handled under a signed BAA. Estimates here are typical ranges; your project is quoted after the workshop. See our healthcare AI solutions

“How much does a custom EHR cost?” is a fair question with an honest answer: it depends — on specialty coverage, integration depth, compliance path, and scale — and the range is wide. This guide breaks down real cost ranges by EHR type, the drivers that move the number, the compliance layers that add to it, and the ongoing costs after launch, so you can budget with eyes open. The figures below are typical ranges; your actual number depends on scope, which is exactly what a scoping call establishes. This page is about the cost to build a custom EHR. If you are budgeting for integrating with an existing EHR instead, see our EHR integration cost guide. For software cost more broadly, see our healthcare software development cost guide. Get a Detailed EHR Project Estimate (Free 45-Min Scoping Call) → (NDA-protected) EHR development experience · ONC certification capability · HIPAA + BAA · healthcare engineering team Why EHR Development Cost Varies So Widely Specialty Coverage A single-specialty EHR is far cheaper than one covering many specialties, because each specialty adds its own workflows, documentation, and rules. Multi-Site / Multi-Tenancy Requirements Supporting multiple sites or a multi-tenant SaaS model adds architecture and cost beyond a single-practice build. Integration Depth The number and depth of integrations — HL7, FHIR, lab, pharmacy, imaging — is one of the biggest cost drivers. Regulatory Path (ONC Certification, FDA) Whether you need ONC certification or fall under FDA regulation materially changes both cost and timeline. Cost Breakdown by EHR Type Specialty Practice EHR A single-specialty EHR (for example dermatology or orthopedics) typically runs $200K–$500K over a 6–12 month timeline — built on our custom EHR development practice. Multi-Specialty EHR A generalist EHR with multiple specialty modules typically runs $500K–$1.5M over 12–18 months. Enterprise / Hospital EHR An inpatient-plus-outpatient EHR with department modules is a major program, typically $1.5M–$5M+ over 18–36 months. Specialty Vertical EHR (Behavioral, Hospice, Home Health) A vertical EHR for behavioral health, hospice, or home health typically runs $300K–$800K over 9–15 months — see our behavioral health, hospice, and home health software practices. Cost Drivers The number moves with the number of user roles, the number of specialty workflows, the integration footprint (HL7, FHIR, lab, pharmacy, imaging), the reporting and analytics complexity, and the mobile app requirements (via our mobile app development practice). More of each means more cost. Compliance Cost Layers HIPAA (Baseline — Included) HIPAA safeguards are not an add-on in our work; they are built into every EHR as standard — see our HIPAA-compliant development practice. ONC Health IT Certification: $200K–$500K Add-On If you need certified health IT, ONC certification typically adds $200K–$500K depending on the criteria — see our ONC certification services. FDA SaMD Path (If Applicable): $300K–$1M Add-On If your EHR includes regulated software-as-a-medical-device functionality, the FDA path typically adds $300K–$1M depending on classification and validation needs. EHR Modernization vs. Build From Scratch Cost of Building New A new build gives you exactly what you want but carries the full cost ranges above. Cost of Modernizing Existing Legacy Modernizing an existing system can cost less than a full rebuild when the core logic is worth preserving — see our software modernization practice. When Modernization Saves Money Modernization usually wins when the existing system embodies hard-won, still-valid clinical logic and the problem is the technology, not the design. When New Build Is the Right Investment A new build wins when the existing system is fundamentally misaligned with where you are going, or when the modernization cost approaches the rebuild cost anyway. Ongoing Costs After Launch EHR ROI Considerations The case for custom is rarely just feature parity. It includes reduced vendor lock-in costs, the value of workflow customization (clinician time and satisfaction), integration flexibility you control, and long-term total cost of ownership versus off-the-shelf — where recurring license fees and workaround costs can close the gap with a custom build over time. Get a Detailed EHR Project Estimate (Free 45-Min Scoping Call) → Frequently Asked Questions Why so expensive vs. Athenahealth or Cerner Community? Those are licensed products whose development cost is spread across thousands of customers; you pay a recurring fee to use what they built for the general market. A custom EHR is built for you alone, so you bear the build cost — but you own the result, control the roadmap, and avoid the workarounds and lock-in that come with adapting your practice to someone else’s product. Can we phase the EHR build? Yes, and we usually recommend it. Phasing lets you launch a focused first release, validate it with real users, and fund later phases from a position of evidence rather than committing the entire budget up front. A discovery workshop defines those phases. How does cost compare to Epic implementation? They are different cost models. Epic is licensed and implemented rather than built, and for hospitals the licensing-plus-implementation cost is substantial and ongoing. A custom EHR is a build cost you own outright. Which is cheaper over time depends heavily on your size and how well a packaged system fits — we will model the comparison honestly for your situation. Will ONC certification be required? It depends on your customers and use case. If providers using your EHR need Certified EHR Technology (for example, for CMS programs), certification is required; many specialty and internal builds do not need it. We help you determine this early so it is budgeted correctly — see our ONC certification services. Get a Detailed EHR Project Estimate (Free 45-Min Scoping Call) → Reviewed by Taction Software’s healthcare engineering and delivery team. ISO 27001-certified information security management. PHI is handled under a signed BAA. Estimates here are typical ranges; your project is quoted after scoping. See our custom healthcare software development practice.

When a healthcare platform is approaching a scale ceiling, planning a major new capability, or heading into modernization, the smartest first move is to understand the architecture you actually have. Taction Software performs healthcare software architecture reviews — scalability, reliability, security, integration, and compliance architecture — and delivers a risk-prioritized roadmap with effort and cost estimates and reference-architecture recommendations. It is a scoped, two-to-four-week engagement that turns architectural uncertainty into a plan. This is a system-level review. For a codebase-level audit (static analysis, code quality, code-level security), see our healthcare code audit services. Schedule an Architecture Review Scoping Call → (NDA-protected) Senior healthcare architects · healthcare specialization · sanitized sample output on request When an Architecture Review Is Worth Doing Approaching a Performance / Scale Ceiling When growth is straining the system, a review pinpoints the real bottlenecks before they become outages. Planning a Major New Capability Before a major new capability, a review confirms whether the current architecture can support it or needs to evolve first. Pre-Modernization Baseline Before modernizing, a review establishes what to keep, evolve, or replace — feeding directly into our software modernization work. Pre-Acquisition Tech Validation For acquirers, an architecture review validates whether the platform can carry the investment thesis — often alongside tech due diligence. Compliance / Audit Preparation Ahead of a compliance review, an architecture review surfaces gaps in technical safeguards and data-flow security — complementing our security audit practice. Areas We Review Scalability & Performance Current-state capacity assessment, scaling bottlenecks, database architecture, and caching and CDN strategy — whether the system can grow with you. Reliability & Operations High-availability architecture, disaster-recovery posture, monitoring and observability, and incident-response readiness — whether it stays up and recovers. Security Architecture Identity and access architecture, PHI data-flow security, network segmentation, and encryption strategy, drawing on our data security practice. Integration Architecture EHR / HL7 / FHIR integration (via our HL7 and FHIR expertise), third-party integration, API architecture, and event-driven patterns — the connective tissue healthcare depends on. Compliance Architecture HIPAA technical-safeguards coverage, audit-logging architecture, and BAA boundary analysis, building on our HIPAA-compliant development practice. Deliverables You Receive You receive: an executive architecture summary, detailed findings with diagrams, a risk-prioritized roadmap, effort and cost estimates, and reference-architecture recommendations — enough to decide and to act. Review Format Stakeholder Interviews We interview the engineers and leaders who know the system, surfacing context no document captures. Documentation Review We review existing architecture and operations documentation for what is designed and what has drifted. Code & Configuration Inspection We inspect code and configuration to see how the architecture is actually implemented, not just described. Live Demos & Walkthroughs We walk through the running system to ground findings in reality rather than intent. Findings Workshop We close with a workshop that takes your team through the findings and roadmap so they are understood and actionable. Engagement Types We offer a standard architecture review (2–4 weeks), a focused domain review (security, scale, or integration), a pre-modernization architecture review, and an architecture validation for a major build decision — matched to your need. What Happens After the Review Continue With Us on Remediation / Modernization If you want execution, we can take the roadmap into remediation or modernization on our custom healthcare software foundation — but only if it serves you. Continue Independently — Deliverables Are Yours The deliverables are yours. You can hand the roadmap to your own team or another vendor; the review is genuinely vendor-neutral. Stakeholder Workshop to Operationalize Findings We can run a workshop — or support a fractional CTO engagement — to operationalize the findings and keep momentum. Schedule an Architecture Review Scoping Call → Frequently Asked Questions How long does an architecture review take? Two to four weeks for a standard review, shorter for a focused domain review, depending on system complexity and stakeholder availability. We scope it on the call. What access do you need? Typically architecture and operations documentation, time with your engineers and leaders, read access to code and configuration, and a walkthrough of the running system. We work within your access and security constraints, under NDA. Will you recommend specific vendors / technologies? Yes, where it helps — and our recommendations are vendor-neutral, based on your needs rather than what we sell. We are transparent that we can also build, but the recommendations serve you, and you are free to act on them however you choose. Confidentiality? Every review is NDA-first. Your architecture, code, and findings stay confidential, and any PHI is governed by a BAA. Schedule an Architecture Review Scoping Call → Reviewed by Taction Software’s healthcare architecture and engineering team. ISO 27001-certified information security management. Engagements are governed by NDA, and any work involving PHI is governed by a BAA. Many reviews begin with a discovery workshop.

A code audit answers a precise question: what is actually in this codebase, and what will it cost you? Taction Software performs healthcare software code audits — code quality, security, architecture, technical debt, and healthcare-specific PHI and integration patterns — for acquirers, investors, CTOs, and organizations inheriting a codebase. You get a risk-rated findings report with code references, remediation effort and priority estimates, and a refactoring plan — and, if you want it, a team that can fix what the audit finds. This is a codebase-level audit. For investor-facing deal evaluation, see our healthcare tech due diligence; for organization-wide security posture, see our healthcare security audit. Schedule a Code Audit Scoping Call (free, NDA-protected) → Healthcare engineering credentials · healthcare specialization · NDA-first · sanitized sample report on request When You Need a Healthcare Code Audit Pre-Acquisition Tech Diligence Before acquiring a health-tech asset, a code audit tells you what you are actually buying beneath the demo — often as part of broader tech due diligence. Inheriting a Codebase (Vendor Handoff, Team Transition) When you inherit a codebase from a departing vendor or team, an audit gives you a true map before you depend on it. Pre-Modernization Baseline Before modernizing, an audit establishes the baseline — what to keep, refactor, or replace — feeding directly into our software modernization work. Investor Tech Confidence For investors, a code audit converts technical uncertainty into a risk-rated picture they can act on. Healthcare Compliance Audit Preparation Ahead of a compliance review, an audit surfaces the PHI-handling, logging, and encryption issues that would otherwise become findings — see our HIPAA-compliant development practice. What Our Code Audit Covers Code Quality Static analysis across the codebase, code smell and anti-pattern detection, documentation quality, and a maintainability index — an objective read on how healthy the code is. Security Review OWASP-aligned security code review, healthcare-specific vulnerability patterns, secrets and credentials in code, and a dependency vulnerability audit — complementing our penetration testing and data security work. Architecture Assessment Architecture pattern adherence, coupling and cohesion analysis, scalability assessment, and technical debt quantification — whether the structure will hold up as you grow. Healthcare-Specific Review PHI handling patterns, audit logging implementation, HL7 / FHIR integration code (via our HL7 and FHIR expertise), and encryption implementation — the things a generalist code review simply does not check. Deliverables You receive: an executive code quality report, detailed findings with code references, remediation effort and priority estimates, a risk-rated issues list, and a recommended refactoring plan — enough to make a decision and to act on it. Engagement Types We offer a quick audit (1 week, single codebase), a comprehensive audit (2–4 weeks), a pre-acquisition diligence audit, and an inherited-codebase onboarding audit — matched to your situation and timeline. Code Audit + Remediation Path Audit Identifies Issues; Remediation Engagement Fixes Them The audit is independent and honest. If you then want the issues fixed, we can do that as a separate remediation engagement — audits frequently lead to remediation or modernization several times the audit’s value, and that is fine, but the audit stands on its own. Modernization-Focused Audits When the goal is modernization, we focus the audit on what to keep, refactor, or replace. Security Remediation Audits When the driver is security, we focus on the vulnerabilities and the path to closing them. Schedule a Code Audit Scoping Call (free, NDA-protected) → Frequently Asked Questions How long does a code audit take? From one week for a focused single-codebase audit to two to four weeks for a comprehensive one, depending on codebase size and depth. We scope it precisely on the call. Do you need our source code? Yes — a meaningful code audit requires access to the source, which is exactly why we work NDA-first and handle your code under strict confidentiality. We can work within your access and environment constraints. What languages do you support? We audit across the stacks common in healthcare software — Node.js, Python, Java, .NET, and PHP, plus mobile (Swift, Kotlin, React Native, Flutter). Tell us your stack on the call and we will confirm fit. Will you also fix the findings? We can. As healthcare software engineers we are able to remediate what we identify in a separate engagement, but the audit itself is independent — you are free to take the findings and fix them yourself or with another vendor. NDA? Always. Every code audit is NDA-first; your source code and findings stay confidential. Schedule a Code Audit Scoping Call (free, NDA-protected) → Reviewed by Taction Software’s healthcare engineering team. ISO 27001-certified information security management. Source code is handled under NDA, and any PHI is governed by a BAA. For deal-level evaluation, see our healthcare tech due diligence practice.

When you are evaluating a health-tech investment or acquisition, the technology and compliance risk is often the part your team can least afford to get wrong — and the part a generalist DD firm misses. Taction Software provides healthcare-specialized technology due diligence for VC firms, PE deal teams, and corporate acquirers: architecture and code-quality review, compliance and security assessment, scalability and team evaluation, and a risk-rated report your deal committee can act on — typically in two to three weeks, with expedited turnaround available. Schedule a Tech DD Scoping Call (we respond within 4 business hours) → (NDA-first) Healthcare DD specialization · independent, conflict-free findings · anonymized VC/PE references on request What We Evaluate Architecture & Technical Foundation Architecture quality and scalability, technology stack maturity, technical debt, and cloud / infrastructure cost efficiency — whether the platform can carry the thesis or will need expensive rebuilding. Code Quality Code review and quality metrics, test coverage, security practices, and documentation — what the codebase actually is beneath the demo. Compliance & Risk HIPAA and SOC 2 status (and any other frameworks the target should hold), a BAA inventory, penetration test history, and security incident history — drawing on our HIPAA risk assessment, SOC 2, penetration testing, and security audit expertise. Team & Operational Readiness Engineering team strength, operational maturity, vendor and tool dependencies, and key-person risk — because the team and operations are as much of the asset as the code. Deliverables You receive: an executive summary for the deal committee, a risk-rated findings report, remediation effort and cost estimates, a technology investment thesis validation, and a red-flag inventory — written for investors making a decision, not engineers reading a manual. Engagement Types We support pre-term-sheet due diligence, pre-close confirmatory diligence, portfolio company tech audits (post-investment), and bolt-on acquisition tech assessments — matching the depth to where you are in the deal. Why Healthcare-Specialized Tech DD Matters Healthcare-Specific Compliance Risks HIPAA exposure, missing BAAs, and unaddressed security obligations are liabilities a generalist DD will not weight correctly — and they can change valuation or kill a deal. Integration Complexity Buyers Often Miss Healthcare products live or die on EHR and data integration. We assess the real integration footprint and its fragility, which buyers routinely underestimate. Regulatory Roadmap Impact Looming requirements — interoperability rules, certification, FDA considerations — can impose major near-term cost. We surface them so they are priced into the deal. Clinical Workflow Reality vs. Demo A polished demo is not proof clinicians will use the product. We assess clinical-workflow fit and adoption reality, not the sales narrative. Timeline & Engagement Model Standard Turnaround: 2–3 Weeks Most diligence completes in two to three weeks, matched to deal timelines. Expedited (1 Week) Available When a deal is moving fast, we offer expedited one-week turnaround. Document Review + Stakeholder Interviews + Tech Demos We combine document and code review, stakeholder interviews, and technical demos to form an evidence-based view rather than a paper one. Confidentiality & Independence NDA-First Engagement Every engagement starts with an NDA. Discretion is a given in deal work. No Conflicts with Target Company We confirm we have no conflicts with the target before engaging, so our findings are credible to your committee. Independent Findings Our findings are independent and honest — including the inconvenient ones. That independence is the entire value of diligence, and we protect it even though we also do build work. Schedule a Tech DD Scoping Call (we respond within 4 business hours) → Frequently Asked Questions How long does a tech DD take? Two to three weeks for a standard engagement, with expedited one-week turnaround available when the deal requires it. We scope to your close date in the first call. What about confidentiality? We work NDA-first and confirm we have no conflict with the target before we engage. Deal information stays confidential, and our findings go only to you. Will you remediate post-close? Yes, if you want us to — through portfolio-company tech work, modernization, or a fractional CTO engagement. We keep that separate from the diligence itself so the findings remain independent and honest. See our software modernization practice. Do you support international diligence? Yes. We assess targets outside the US as well, accounting for the relevant data-protection and regulatory regimes alongside the technical evaluation. Schedule a Tech DD Scoping Call (we respond within 4 business hours) → Reviewed by Taction Software’s healthcare technology and compliance assessment team. ISO 27001-certified information security management. Engagements are governed by NDA, and any work involving PHI is governed by a BAA — see our healthcare data security practice.

Plenty of health-tech startups and healthcare organizations need senior technology leadership but cannot justify — or cannot yet find — a full-time CTO. A fractional CTO fills that gap: experienced healthcare technology leadership on a part-time, ongoing basis. Taction Software provides fractional CTO services for health-tech startups and healthcare organizations — technology strategy, architecture decisions, team building, compliance leadership, and board and investor communication — backed by a team that can also build what we recommend if you want it. Schedule a Free Fractional CTO Fit Conversation (45 min) → (no obligation) Senior healthcare technology leaders · HIPAA & healthcare credentials · references on request When Fractional CTO Services Make Sense Health-Tech Startup Without Senior Tech Leadership Early-stage health-tech companies often have strong engineers but no senior leader to set technical direction, make architecture and build-vs-buy calls, and own compliance. A fractional CTO provides that without a full-time hire. Healthcare Org With Vacant CTO Role When a healthcare organization’s CTO role is vacant, a fractional CTO keeps technology decisions moving and the team supported rather than drifting. Pre-Hiring Bridge for CTO Search A fractional CTO can bridge a CTO search — leading in the interim, and even helping define and evaluate candidates for the permanent role. Strategic Technology Decisions Need Senior Input Sometimes the need is episodic but high-stakes — a major architecture decision, a platform bet, an audit. A fractional CTO brings senior judgment to those moments. What Our Fractional CTO Services Include Strategic Technology Leadership Technology strategy and roadmap, architecture decisions, build-vs-buy decisions, and vendor and partner selection — the senior calls that shape everything downstream. Team Building & Management Engineering hiring support, engineering team coaching, and process and practice establishment so the team you have (and the team you build) performs. Compliance & Risk Leadership HIPAA and healthcare compliance leadership, security program oversight, and audit and certification strategy — drawing on our HIPAA-compliant development, HIPAA risk assessment, security audit, and ONC certification practices. Board & Investor Communication Board technology updates, investor due diligence support, and strategic communication that translate technology into terms boards and investors act on. Engagement Models We work in four common shapes: a monthly retainer (most common), project-based fractional CTO, bridge CTO during a search, and advisory CTO with equity for early-stage companies. Time Commitments We scale to the need: light (10–20 hours/month), standard (20–40 hours/month), heavy (40–80 hours/month), and full-time fractional for intensive periods. Who We’re a Good Fit For We are a strong fit for health-tech startups (pre-Series A through Series C), specialty practices building internal software, mid-market payers without a senior CTO, and healthcare investors needing CTO support for portfolio companies. Pricing Monthly Retainer Ranges Retainers scale with the time commitment — from a few thousand dollars a month for light advisory up to the $15K–$30K/month range for heavy or near-full-time engagement. Project-Based Fees For episodic needs, we scope a fixed project fee rather than a retainer. Equity Considerations for Early-Stage For early-stage companies, we can structure part of the engagement as equity where it makes sense for both sides. What Sets Our Fractional CTOs Apart Our fractional CTOs are senior healthcare technology leaders with real backgrounds in healthcare software, compliance, and engineering leadership — not generalists learning healthcare on your time. We share specific CTO bios, credentials, and references during the fit conversation so you can evaluate the exact person who would lead your engagement. Schedule a Free Fractional CTO Fit Conversation (45 min) → Frequently Asked Questions How is this different from consulting? A consultant advises and leaves; a fractional CTO holds the leadership role — owning technology decisions, leading your team, representing technology to your board, and staying accountable over an ongoing engagement. It is leadership, not a report. Can you also build the software you recommend? Yes — and we are transparent about it. Having a team that can execute is an advantage, but the fractional CTO’s job is your best interest. We will tell you honestly when building with us is the right call and when it is not, and you are always free to use other vendors. What about confidentiality and conflict of interest? We work under confidentiality and are upfront about the potential conflict that comes with also being a development shop. We manage it by giving you independent, honest recommendations, disclosing where our interests could be involved, and never steering you toward work that does not serve you. How long is a typical engagement? Fractional CTO engagements are usually ongoing and measured in months to years, though bridge engagements during a CTO search are shorter by design. We right-size both the commitment and the duration to your situation. Schedule a Free Fractional CTO Fit Conversation (45 min) → Reviewed by Taction Software’s healthcare technology leadership team. ISO 27001-certified information security management. Engagements involving PHI are governed by a signed BAA — see our healthcare data security practice. Many fractional engagements begin with a discovery workshop.

Most failed healthcare software projects were doomed before a line of code was written — unclear scope, unmapped integrations, and compliance discovered at the end. A discovery workshop is the low-risk way to avoid that. Taction Software runs a paid, two-to-four-week healthcare software discovery workshop that produces a functional specification, technical architecture, compliance scope, project plan, and a fixed-price quote — deliverables you own outright, whether you build with us, build with someone else, or decide not to build at all. This workshop covers healthcare software projects broadly — EHRs, patient apps, integrations, platforms. If your project is specifically an AI/ML build, our AI Discovery Sprint is the focused equivalent. Schedule a Free 30-Min Pre-Discovery Conversation → (no obligation) Anonymized past discovery engagements · senior discovery team · sample deliverables on request · HIPAA + BAA Why Discovery Matters Before Building Healthcare Software The #1 Reason Healthcare Software Projects Fail Projects rarely fail because the code was hard. They fail because scope was unclear, integrations were underestimated, or compliance was an afterthought. Discovery surfaces all of that before it becomes expensive. What Discovery Produces That Saves You 10x Cost A few weeks of discovery produces the specification, architecture, and plan that prevent the rework, scope creep, and false starts that cost many times more later. It is the cheapest insurance in a software project. Why You Should Pay for Discovery (Not Get It Free) “Free” discovery from a vendor is a sales motion designed to lock you in, and it produces deliverables built to win the deal, not to serve you. Paid discovery produces honest, vendor-neutral deliverables that are yours — which is why we charge for it and why you should want to pay. What’s Included in Our Discovery Workshop Stakeholder Interviews & Requirements Clinical stakeholder sessions, technical stakeholder sessions, and user research where appropriate — so requirements reflect clinical reality, technical constraints, and real users. Technical Architecture System topology, data model design, integration architecture, and security and compliance architecture — a real architecture, not a sketch. Compliance Scoping HIPAA risk analysis (see our HIPAA risk assessment practice), a regulatory scope statement, and BAA requirements, building on our HIPAA-compliant development work. Project Plan & Budget A phased project plan, a milestone-based budget, and a risk register so you know what it will take, in what order, and what could go wrong. Discovery Deliverables You Own You walk away with: a functional specification, a technical architecture document, a project plan with milestones, a fixed-price project quote, and a risk register with mitigations. These are yours to keep and use however you choose. Discovery Workshop Format Timeline: 2–4 Weeks Total The workshop runs two to four weeks depending on scope and stakeholder availability. Mix of In-Person and Virtual Sessions We run a mix of in-person and virtual working sessions to fit your team. Daily / Weekly Working Cadence We work to a clear cadence so momentum holds and you see progress throughout, not just at the end. Final Stakeholder Presentation We close with a stakeholder presentation that walks your leadership through the findings, architecture, plan, and quote. What Happens After Discovery Continue With Us — Discovery Deliverables Feed the Project If you build with us, the discovery deliverables feed directly into the project — no wasted work — on our custom healthcare software foundation. Continue With Another Vendor — Deliverables Are Yours If you build elsewhere, the deliverables are yours to hand to any vendor. We mean it: discovery is genuinely vendor-neutral. Decision Not to Proceed — Better to Find Out Now And if discovery shows the project should not proceed as imagined, that is a win — far better to learn it after a few weeks than after a failed build. Cost & Investment Discovery is scoped to your project: small project discovery $10K–$15K, medium discovery $20K–$30K, and enterprise discovery $30K–$50K+. In every case it is a small fraction of the project cost it de-risks. Schedule a Free 30-Min Pre-Discovery Conversation → Frequently Asked Questions Why pay for discovery vs. getting it free? Free discovery is a sales tactic, and its output is built to close the deal, not to serve you. Paid discovery produces honest, vendor-neutral deliverables you own and can take anywhere. You are buying clarity and independence, not a pitch. What if we don’t go forward after discovery? Then discovery did its job. The deliverables are yours to use with another vendor or to shelve the project, and you will have avoided a far larger investment in something that was not ready. There is no obligation to continue with us. Who participates from our side? Typically your clinical, technical, and business stakeholders for interviews, plus whoever owns the budget decision for the final presentation. We tell you exactly who we need and keep the time commitment focused. Can discovery support board / investor approval? Yes. The functional specification, architecture, plan, fixed-price quote, and risk register are exactly what boards and investors want to see before approving a software investment, and we structure the final presentation to support that conversation. Schedule a Free 30-Min Pre-Discovery Conversation → Reviewed by Taction Software’s healthcare engineering and delivery team. ISO 27001-certified information security management. PHI is handled under a signed BAA — see our healthcare data security practice.

For healthcare organizations standardized on AWS, HealthLake offers something distinctive: a HIPAA-eligible, managed FHIR R4 data store with healthcare machine learning built in. But turning that into real value — ingestion pipelines, ML features, analytics, and a clean architecture around it — takes AWS and FHIR engineering. Taction Software implements AWS HealthLake end to end: data store setup, ingestion, the ML features, and integration with the rest of your AWS data and analytics stack. For FHIR work that is not AWS-specific, see our general FHIR API development practice; if you are an Azure shop, see our Azure API for FHIR implementation work. Schedule an AWS HealthLake Implementation Workshop → (NDA-protected) AWS specialist team · FHIR R4 expertise · HIPAA + BAA Why AWS HealthLake for Healthcare FHIR For AWS-Standardized Healthcare Organizations If you already run on AWS, HealthLake fits your existing stack, security model, and operations rather than forcing a new platform into the picture. Built-In ML for Healthcare HealthLake’s integrated machine learning — including Amazon Comprehend Medical — extracts and standardizes information from clinical text as data lands, a capability that sets it apart from a plain FHIR store. This complements our clinical NLP and AI medical coding work. Integration With Other AWS Services HealthLake connects naturally to the AWS analytics and ML ecosystem, which is much of its value for AWS-committed organizations. BAA-Covered Service HealthLake is HIPAA-eligible under the AWS BAA, so it can hold PHI when configured correctly — see our HIPAA-compliant development practice. Our AWS HealthLake Implementation Capabilities HealthLake Data Store Setup FHIR R4 resource configuration, custom search parameter setup, and resource type profiling so the store fits your data and query needs. Data Ingestion Pipelines S3 bulk import, streaming ingestion, and HL7 v2 to FHIR conversion (via our HL7 integration work) so existing data and live feeds both land cleanly. HealthLake ML Features Comprehend Medical integration, automatic coding and standardization, and imaging insights (connecting to our DICOM imaging pipeline work) — turning raw clinical data into structured, coded, analyzable form. Analytics Integration Athena querying, QuickSight dashboards, and SageMaker ML pipelines, supporting our healthcare data analytics and healthcare AI work. HealthLake vs. Alternatives HealthLake vs. HAPI FHIR on AWS HealthLake is managed with built-in ML; self-hosting HAPI FHIR on AWS gives more control at the cost of running it yourself. The decision turns on how much you value the managed ML and operations. HealthLake vs. Azure FHIR Both are managed cloud FHIR offerings; the deciding factor is usually which cloud you have standardized on. We implement on either and recommend based on your existing footprint. HealthLake vs. Google Cloud Healthcare API Same principle — the cloud commitment typically decides it. We build FHIR on AWS, Azure, and GCP and help you choose objectively. Integration Patterns We architect HealthLake into the wider AWS environment: a healthcare data lake architecture, real-time streaming with Kinesis, Lambda for FHIR webhooks, and SageMaker for healthcare ML — so HealthLake is the center of a working data platform, not an isolated store. Engagement Options We work in three common shapes: a greenfield HealthLake implementation, a migration to HealthLake from another FHIR store, and HealthLake plus a custom integration layer for logic the service does not cover — all on our custom healthcare software foundation. Schedule an AWS HealthLake Implementation Workshop → Frequently Asked Questions Is HealthLake HIPAA-eligible? Yes. AWS HealthLake is HIPAA-eligible under the AWS Business Associate Addendum and can store PHI when configured correctly. We implement the encryption, access controls, and logging required as part of the setup, drawing on our data security practice. How does HealthLake pricing work? HealthLake pricing is usage-based across data storage, requests, and the ML processing applied to ingested data, plus the downstream AWS services (Athena, QuickSight, SageMaker) you use. We model your expected cost in the workshop so it is clear before you commit. Can HealthLake support Cures Act APIs? HealthLake provides the FHIR R4 data-store foundation. The CMS interoperability APIs (CARIN Blue Button, Da Vinci) and SMART authorization are built as an API and auth layer on top of it, which we implement — see our overview of 21st Century Cures Act compliance. What about FHIR R5? HealthLake centers on FHIR R4, which is also the version US regulation mandates (US Core, Cures Act), so R4 is the right target for compliance use cases today. We track R5 and architect so a later move is manageable. Schedule an AWS HealthLake Implementation Workshop → Reviewed by Taction Software’s healthcare cloud and integration engineering team. We confirm the specific AWS credentials of the engineers assigned to your engagement. ISO 27001-certified information security management. PHI is handled under a signed BAA.

For healthcare organizations standardized on Microsoft, the Azure-native path to FHIR is compelling — native security, Entra ID, and the rest of the Azure data and AI stack all in one place. Taction Software implements FHIR on Azure end to end: the FHIR service, the DICOM service, the MedTech (IoT) service, authentication, and the integration patterns that connect FHIR to the rest of your Azure environment. One important note up front: Microsoft is retiring the standalone Azure API for FHIR (end of support September 30, 2026) in favor of the Azure Health Data Services FHIR service. We implement on Azure Health Data Services and also migrate organizations off the legacy Azure API for FHIR before the deadline. For FHIR work that is not Azure-specific, see our general FHIR API development practice. Schedule an Azure FHIR Implementation Workshop → (NDA-protected) Microsoft Azure specialist team · FHIR R4 expertise · HIPAA + BAA Why Azure Health Data Services for FHIR For Microsoft-Stack Healthcare Organizations If your organization already runs on Azure and Microsoft tooling, the Azure FHIR service fits your stack, your identity, and your operations without introducing a foreign platform. Native Azure Integration & Security The FHIR service integrates natively with Azure security and the broader Azure ecosystem, which simplifies architecture and governance. Cost & Scaling Considerations As a managed service, it offloads infrastructure operations and scales with Azure — though cost modeling matters, which we do with you up front. BAA-Covered FHIR Service Azure Health Data Services is covered under Microsoft’s BAA, so it can handle PHI when configured correctly — see our HIPAA-compliant development practice. Our Azure FHIR Implementation Capabilities FHIR Service Deployment FHIR R4 service configuration, custom profile implementation, and search parameter configuration so the service matches your data and query needs. DICOM Service Integration Imaging integration and PACS connectivity via the Azure DICOM service, complementing our DICOM imaging pipeline work. MedTech Service (IoT) Device data ingestion, mapping to FHIR Observations, and IoT Hub integration — turning device streams into structured FHIR data, connecting to our remote patient monitoring work. Authentication & Authorization Microsoft Entra ID integration, SMART on FHIR, and application role configuration so access is secure and standards-based. Azure FHIR vs. Alternatives Azure FHIR vs. HAPI FHIR The Azure FHIR service is managed; HAPI FHIR is self-hosted open source giving maximum control with maximum operational responsibility. The right choice follows your control, cost, and operations preferences. Azure FHIR vs. AWS HealthLake Both are managed cloud FHIR offerings; the deciding factor is usually which cloud you are standardized on. If you are an AWS shop, we also implement on AWS HealthLake. Azure FHIR vs. Google Cloud Healthcare API Again, the cloud you have committed to typically decides it. We implement FHIR on Azure, AWS, and GCP, and help you choose based on your existing footprint rather than a one-size answer. Integration Patterns We connect FHIR to the rest of your Azure environment: Azure Data Factory for ETL, Azure Synapse for analytics (supporting our healthcare data analytics work), Power BI for healthcare reporting, and Azure OpenAI integration for AI on FHIR data (connecting to our healthcare AI practice). Engagement Options We work in three common shapes: a greenfield Azure FHIR implementation, a migration from another FHIR platform (including the legacy Azure API for FHIR), and Azure FHIR performance tuning — all on our custom healthcare software foundation. Schedule an Azure FHIR Implementation Workshop → Frequently Asked Questions Is Azure FHIR HIPAA-eligible? Yes. Azure Health Data Services is covered under Microsoft’s BAA and can handle PHI when configured correctly. We implement the access controls, logging, and configuration HIPAA expects as part of the deployment. How does pricing work? Azure Health Data Services is consumption-based, so cost depends on your data volume, request patterns, and which services (FHIR, DICOM, MedTech) you use. We model expected cost with you during the workshop so there are no surprises. Can we use it for Cures Act compliance? Yes. The Azure FHIR service supports building the CMS interoperability APIs, and we implement them to the relevant guides — see our overview of 21st Century Cures Act compliance. What about FHIR R5? FHIR R4 remains the version mandated by US regulation (US Core, Cures Act), so we build to R4 for compliance use cases today. FHIR R5 exists and adoption is still early in US healthcare; we track it and design so a future move is manageable. Schedule an Azure FHIR Implementation Workshop → Reviewed by Taction Software’s healthcare cloud and integration engineering team. We confirm the specific Azure credentials of the engineers assigned to your engagement. ISO 27001-certified information security management. PHI is handled under a signed BAA — see our healthcare data security practice.