Build vs Buy Healthcare Software: A Decision Framework for CTOs and CIOs

A hospital network wants to reduce referral delays. A software vendor offers a ready-made platform, another promises flexible integrations, and the engineering team proposes developing a custom application around the existing electronic health record (EHR).

All three options appear reasonable. But which one will deliver the best long-term business value?

Consider what happens when a referral is accepted by one system but never reaches the specialist's queue. The problem is no longer just a technical issue. It can delay patient care, increase administrative work, and create additional operational costs.

This is why the build vs buy healthcare software decision deserves attention from both technology leaders and business executives. The choice affects implementation costs, clinical workflows, integration risks, regulatory responsibilities, and the organization's ability to adapt as requirements change.

A poor choice can lock in years of avoidable cost and put patient-facing workflows at risk. Whichever option you choose, accountability for compliance, security, and clinical safety stays with your organization, so the decision needs a clear executive owner. 

This build vs buy decision framework for CTOs compares the three approaches using four practical tests and a three- and five-year cost model. It is written for US healthcare organizations, so the regulatory points cover HIPAA and FDA requirements. 

Why Does Healthcare Make the Decision More Complex?

Choosing healthcare software isn't just about comparing features and costs. You also need to think about how well it works with existing systems, how it protects patient data, and whether it meets relevant US regulatory requirements. 

Interoperability Is More than Having an API

Healthcare software rarely works in isolation. It needs to exchange information with EHRs, medical devices, labs, and imaging systems. Standards such as HL7 (a standard for exchanging healthcare data) and FHIR (a standard for sharing health information electronically) make this easier, but having an API doesn't automatically mean two systems can work well together.

According to ONC/ASTP Data Brief 81 (February 2026), 71% of non-federal acute care hospitals used standards-based APIs, such as FHIR, to support patient access in 2024. However, most data sharing with third-party technology still relies on proprietary EHR APIs or non-API methods such as HL7 interfaces. 

So, don't just ask whether a software solution supports APIs. Check whether it can exchange the information your workflows actually need. It's also worth checking how it handles failed messages, retries, and audit trails.

Security, HIPAA and Patient Data Protection

Patient data needs careful handling, so security shouldn't be something you think about only after the software is built or purchased. Look at how the solution manages encryption, user access, authentication, audit logs, backups, and security incidents.

A vendor's claim that its product is HIPAA-compliant doesn't automatically make your implementation compliant. Your organization is still responsible for how patient information is accessed, stored, transmitted, and protected. If a cloud provider or development partner handles electronic protected health information (ePHI) on behalf of a covered entity, a Business Associate Agreement (BAA) is generally required where applicable. It's also worth knowing that HHS does not certify individual software products as HIPAA-compliant.

Security also has a financial impact. IBM's 2026 Cost of a Data Breach Report puts the average cost of a healthcare data breach at $6.64 million. That's another reason to include security-related costs when calculating the total cost of owning and maintaining the software.

FDA Requirements for Clinical Decision-Support Software

If your software includes clinical decision-support features, you'll also need to consider FDA requirements. The FDA revised its Clinical Decision Support Software guidance on January 6, 2026, replacing the 2022 version.

For a feature to qualify for the non-device CDS exemption, it must meet all four statutory criteria. Software that analyzes medical images or signals falls outside this exemption, so these features need particular attention. Before deployment, healthcare organizations should establish the regulatory status of the software and understand what requirements apply.

4 Decision Tests Before Building or Buying Healthcare Software 

When developing healthcare software, it is important to understand not just what a solution can do but also where it falls short. Ask both vendors and engineering teams to demonstrate how they handle the same difficult situations.

1. Start With the Exception, Not the Ideal Workflow

For referral coordination, test situations such as duplicate patient records, missing attachments, rejected referrals, and delayed acknowledgments. Ask clinical and operations teams what should happen in each case. Who can change a status? When should someone step in?

If an existing product can handle these situations through its available settings, buying may be enough. But if an important rule cannot be handled safely, consider building a custom feature. Make sure it can be tested, updated, and maintained over time.

The decision test: Can users complete the most difficult workflow without undocumented workarounds?

2. Check How Well It Integrates With Existing Healthcare Systems

Healthcare software must exchange information reliably with EHRs, laboratories, medical devices, and imaging platforms. Check whether it supports the specific HL7 message types, FHIR resources, versions, and DICOM (a standard for storing and sharing medical images) standards your existing systems use.

For example, if a referral fails to reach a specialist's queue, can the system detect the failure, retry the transaction, and prevent duplicate referrals?

What to Test During an Integration Trial

• Patient matching: Can it identify patients without creating duplicate records?
• Data exchange: Does it support the required HL7 message types, FHIR resources and versions, and DICOM standards for medical imaging?
• Authentication: Does it support required security mechanisms, including SMART on FHIR where applicable?
• Retries and acknowledgments: Can it identify successful, rejected, and failed transactions?
• Auditability: Does it record data exchanges, user actions, and system errors?
• Recovery: Can it recover incomplete transactions without losing or duplicating information?

Unique transaction IDs, idempotent writes (operations that can be safely repeated without creating duplicates), and reconciliation reports can help prevent duplicate records and recover incomplete exchanges.

Test these scenarios using synthetic or de-identified data in a non-production environment rather than relying only on vendor demonstrations.

The decision test: Can the solution exchange data reliably with existing systems and recover from failures without creating data gaps or duplicates? If not, include the additional integration and maintenance effort in your build-versus-buy decision.

3. Establish Who Will Carry the Operational Burden

Buying software doesn't transfer all operational responsibilities to the vendor. Check its support hours, update notifications, incident reporting process, subcontractors, data export options, and upgrade testing requirements.
For custom software development, account for ongoing maintenance, security updates, monitoring, clinical testing, and developer availability. Assign clear ownership for incidents, upgrades, and security reviews. 

The decision test: Is there a named owner for incidents, upgrades, security reviews, and clinical changes?

4. Check How Hard It Will Be to Change Course

Business needs change over time. You may acquire another company, face new payer requirements, or decide to replace your EHR system. So, think about how easy it will be to change your software in the future.

If you buy a product, ask the vendor for a sample data export and check how much it would cost to switch integrations. If you develop healthcare software, find out who owns the code, which third-party tools it depends on, and whether other developers can maintain it.

Also, consider the risk of vendor lock-in. Depending too much on one provider can make switching difficult and expensive. Check whether your organization can export data in usable formats, connect with other systems through documented APIs, and migrate without disrupting critical workflows. 

The decision test: Can another team take over or replace part of the system without losing important data or disrupting patient care?

How to Calculate the Total Cost of Healthcare Software Ownership

The license fee or initial development cost doesn't represent the full cost of healthcare software. Consider these additional expenses when comparing build and buy options:

• Integration and interface fees: EHR connections, implementation, transaction charges, and fixes after platform upgrades.
• Manual workarounds: Staff time spent re-entering data, checking duplicates, and switching between systems.
• Vendor-led changes: Additional charges for configuration, custom reports, new features, and upgrade testing.
• Internal operations: Training, access reviews, incident management, monitoring, and user support.
• Contract exit: Data extraction, format conversion, termination fees, and migration expenses.
• Usage and storage limits: Per-user pricing, data-volume charges, API limits, and additional service tiers.

Custom healthcare software development also involves ongoing expenses, including dependency updates, security controls, test environments, and maintenance.

How Does the Three-Year vs Five-Year Cost Comparison Work?

Compare the total cost of ownership (TCO). Include implementation, integrations, maintenance, support, and potential switching costs over three and five years.

A three-year comparison helps estimate initial and operating costs, while a five-year view provides a better understanding of long-term expenses.

Consider a multi-site healthcare provider evaluating referral coordination software. The following figures are illustrative assumptions, not market benchmarks or vendor quotations.

Buying has the lowest upfront cost, while building becomes more economical over five years. Hybrid offers the lowest three-year cost and reaches the same five-year cost as building.

These calculations assume constant annual costs and exclude discounting and unexpected expenses.

Also consider the staff time spent on manual tasks. Suppose a purchased product adds two minutes to each of 75 daily referrals across 240 working days. That's 600 additional hours annually (75 × 2 × 240 ÷ 60).

At an estimated $60 per hour, this amounts to $36,000 annually. Including this expense would increase the buy option's three-year TCO from $464,000 to $572,000 and its five-year TCO from $730,000 to $910,000.

Avoid double-counting this expense if staff costs are already included in your TCO.

For a step-by-step approach to budgeting build, run, and change costs, see our guide to forecasting software development costs. 

Has AI Changed the Build vs Buy Decision for Healthcare Software?

AI can make custom features faster to prototype and build, but it does not remove the cost of integration, clinical validation, and ongoing monitoring. That is why the four tests above apply to AI products just as they do to any other healthcare software. 

Before adopting an AI solution, check how it handles patient data, whether clinicians can review its outputs, what regulatory requirements apply, and who is responsible for ongoing monitoring.

For example, we developed an AI-powered radiology reporting platform that generates draft reports for radiologists to review and edit, with role-based access for radiologists, QA teams and administrators. Because AI features that analyze medical images can fall under FDA device requirements, their regulatory status should be established early in any such project. 

The decision test: Can the AI solution support clinical workflows reliably, with appropriate human oversight and a clear regulatory status? 

When Should You Build, Buy, or Choose a Hybrid Approach?

• Buy: When an existing product handles your routine processes and offers the configuration you need.
• Build: When critical business workflows require features or logic that available products cannot provide.
• Hybrid: When your existing platform works well but needs custom components or integrations to fill specific gaps.

You don't have to choose one approach for your entire organization. Make the decision based on individual requirements.

The table is a starting point, not a final verdict. Compare custom and off-the-shelf healthcare software against the same workflow requirements rather than comparing feature lists alone. 

How Do You Keep a Hybrid System Manageable?

Consider a referral workflow where the EHR manages patient records and clinical orders, while a custom application handles specialist queues and reminders. An integration service connects the two systems and tracks updates and errors.

To keep this arrangement manageable, define which system owns each patient identifier, clinical order, referral status, and update. Document how staff should continue working if one component becomes unavailable.

Also, minimize unnecessary copies of patient data and establish clear rules for access, storage, updates, and deletion.

The key is to assign clear responsibilities and test how the systems handle failures before deployment.

Open-source components and integration platforms can also complement commercial and custom healthcare software. For example, organizations can use an open-source imaging server such as Orthanc rather than building imaging infrastructure from scratch. However, implementation, security updates, support, and maintenance still need to be accounted for.

Final Thoughts

The right build vs buy healthcare software decision depends on your clinical workflows, integration requirements, operational responsibilities, and long-term costs.

Buy when existing products meet your needs, build when critical workflows require custom capabilities, and choose hybrid when existing systems need targeted extensions.

Weighing build, buy, or hybrid for a referral or imaging workflow? Book a build-vs-buy review with our healthcare engineering team. 

Frequently Asked Questions

Should a Healthcare Company Build or Buy Its Software?

Buy when an existing product meets your clinical, operational, and integration requirements. Build when available products cannot support important workflows. A hybrid approach works when you want to retain your existing EHR while adding custom features.

When Is Custom Healthcare Software Worth It?

Custom development makes sense when your business has specific clinical or operational needs that standard software cannot handle. It is worth considering when the benefits justify the development and maintenance costs. 

What Are the Hidden Costs of Buying Healthcare Software?

Hidden costs can include EHR integration fees, setup changes, manual data entry, extra features, staff training, software updates, and data migration. Consider all these expenses when comparing the total cost of ownership (TCO) over several years. 

What is a Hybrid Approach in Healthcare Software?

A hybrid approach combines commercial software with custom applications or integrations. For example, a healthcare provider can continue using its EHR to manage patient records while adding a custom application for referral coordination. Clear data ownership, reliable integrations, and proper support are important for making this approach work.