Choosing a healthcare software partner means looking beyond engineering capacity. Here’s how to assess security, interoperability, clinical workflow expertise, AI governance, and long-term support.
Healthcare software development comes with requirements that don’t apply to most software projects. Development partners may need to handle protected health information (PHI), integrate with electronic health records (EHRs), support clinical workflows, meet accessibility standards, and account for healthcare-specific regulations.
For healthcare organizations, choosing a software development partner involves more than comparing engineering capacity or hourly rates.
This guide explains the capabilities healthcare organizations should evaluate when selecting a software development company in 2026, what questions to ask prospective vendors, and which technical and operational factors can affect the cost, risk, and scalability of a healthcare software project.
Key Takeaways
Healthcare software requires specialized expertise. Look for demonstrated experience with HIPAA, PHI, healthcare interoperability, clinical workflows, and applicable medical-device regulations.
Evaluate interoperability early. Experience with HL7, FHIR, CDA/C-CDA, DICOM, EHRs, and payer systems can be critical to successful implementation.
Security should be architectural, not cosmetic. Encryption, least-privilege access, MFA, audit logging, PHI segregation, and secure development practices should be established from the beginning.
Clinical usability matters as much as technical functionality. Software should reduce unnecessary clicks and context switching while accommodating clinicians, patients, administrators, and users with different levels of digital literacy.
AI requires additional governance. Healthcare organizations evaluating AI-enabled software should examine data governance, human oversight, model monitoring, bias controls, and the handling of PHI.
Healthcare QA needs to test more than the application itself. EHR integrations, HL7/FHIR interfaces, security controls, performance, and compliance requirements all need dedicated testing.
Architecture determines long-term flexibility. Modular, API-first systems can make it easier to integrate additional systems, facilities, and data sources over time.
Ask for evidence rather than capability lists. A credible vendor should be able to explain relevant projects, integrations, security controls, measurable outcomes, and lessons learned.
Look for evidence of successful healthcare delivery, not just compliance claims. For example, FullStack’s work with Ekso Bionics included a connected platform that gives therapists real-time exoskeleton-therapy data, demonstrating experience with software used in rehabilitation workflows.
What Does a Healthcare Software Development Company Do?
A healthcare software development company provides end-to-end healthcare software development services, designing, building, integrating, testing, deploying, and maintaining software used by healthcare organizations.
Depending on the engagement, a development partner may work on:
EHR and EMR extensions
Telemedicine software for secure video-conferencing applications and remote patient monitoring suites
Patient portals and mobile health applications that give users access to health records and appointment scheduling
Remote patient monitoring and IoMT systems
Hospital and practice management software
Healthcare CRM and patient outreach systems, including custom healthcare software solutions and patient engagement tools that support reminders and education
Pharmacy and inventory management platforms
Payer and digital health insurance applications
Clinical decision support systems
Healthcare analytics platforms
AI-powered healthcare applications
The key distinction is that healthcare software development can include both regulated medical-device software and custom applications such as patient portals, clinical workflow tools, analytics platforms, and administrative systems.
However, healthcare software must still operate within an ecosystem of clinical systems, regulations, workflows, and sensitive data. A technically capable generalist software company may not have the healthcare-specific experience required to manage those constraints.
Why Choosing the Right Healthcare Software Development Company Matters
Healthcare organizations face several technology pressures simultaneously: legacy systems, increasing interoperability requirements, cybersecurity threats, clinician workflow demands, and growing interest in AI across the healthcare industry.
The healthcare IT market is projected to continue growing through the decade. Grand View Research estimates that the global market was worth approximately $866.5 billion in 2025 and will reach $2.86 trillion by 2033, growing at a 16.2% CAGR from 2026 to 2033. Health-system leaders are also prioritizing digital and AI transformation across virtual health, data and analytics platforms, AI, patient-facing digital tools, and workflow redesign, according to McKinsey’s survey of global health-system executives.
Additionally, regulatory requirements are accelerating healthcare modernization. Under the CMS Interoperability and Prior Authorization Final Rule, Medicare Advantage organizations, state Medicaid and CHIP fee-for-service programs, Medicaid and CHIP managed-care plans, and certain Qualified Health Plan issuers must implement and maintain FHIR-based APIs. The rule includes requirements beginning in 2026, while compliance with most API provisions is generally required by January 1st, 2027.
Security is another major consideration. Healthcare organizations remain high-value targets for ransomware and data breaches, making PHI protection and security architecture central to vendor selection.
When evaluating a healthcare software development company, organizations should therefore examine six broad areas, especially since interoperability can improve patient experience across touchpoints and strengthen healthcare operations:
Healthcare and regulatory expertise
Interoperability and integration capabilities
Security and PHI protection
Clinical UX and accessibility
Engineering, QA, and cloud architecture
AI, analytics, and long-term support
1. Evaluate Healthcare and Regulatory Expertise
The first question is whether the development company has actually built software for healthcare environments and delivered medical software for the healthcare sector.
Healthcare experience should go beyond having a healthcare section on a website. Ask whether the company can show a proven track record in regulated healthcare app development and compliance, and whether the company has worked with:
Protected health information (PHI)
HIPAA compliance
HITECH requirements
EHR and EMR systems
Healthcare data migration
Clinical workflows
Payers and claims systems
Medical devices and IoMT
FDA-regulated software, where applicable
Accessibility requirements
Healthcare-specific quality and security processes
When HIPAA applies, vendors should be able to implement appropriate safeguards, document their responsibilities, and enter into a BAA if they function as a business associate.
For medical-device software, determine whether the vendor understands applicable regulatory pathways and development practices. These may include FDA requirements such as the Quality Management System Regulation (QMSR), codified at 21 CFR Part 820, along with applicable guidance and standards related to SaMD, IEC 62304, and ISO 13485.
Not every healthcare application is a medical device, so the relevant regulatory requirements depend on the software's intended use.
Questions to ask
Have you built systems that handle PHI?
Can you provide examples of healthcare projects similar to ours?
What healthcare regulations applied to those projects?
How did you address compliance during development?
Have you worked with medical device software or SaMD?
What experience do you have migrating healthcare data from legacy systems?
2. Evaluate EHR, HL7, and FHIR Integration Experience
Interoperability is one of the most important technical capabilities to evaluate.
Most healthcare organizations don't operate in isolation. New applications often need to exchange information with EHRs, payer systems, laboratory systems, imaging platforms, scheduling systems, HIEs, and other clinical or administrative applications.
A vendor should be able to explain its experience with standards such as:
HL7 v2.x
FHIR, especially R4
CDA/C-CDA
DICOM, where medical imaging is involved
Experience with major EHR platforms such as Epic, Oracle Health/Cerner, athenahealth, eClinicalWorks, and NextGen can also be relevant depending on the project.
Healthcare organizations should look for evidence that a vendor has handled interoperability in production—not simply that its developers are familiar with FHIR documentation.
Ask prospective vendors:
Which EHR platforms have you integrated with?
Which HL7 and FHIR resources have you implemented?
Have your integrations operated in production?
How do you test HL7/FHIR interfaces?
How do you handle mapping errors and schema changes?
Can you demonstrate experience with EHR vendor sandboxes?
What is your approach to healthcare data migration?
3. Evaluate Security and PHI Protection
Security should be designed into the architecture from the beginning rather than added before launch, using privacy-by-design principles with role-based access control.
Healthcare development companies should be able to explain how they protect PHI, health data, and patient data across the application, infrastructure, databases, APIs, devices, and development environments, with support for GDPR where applicable.
Healthcare applications should maintain appropriate records of PHI access, including information such as:
User identity
Timestamp
Accessed resource
Relevant action
Retention requirements
For sensitive systems, organizations should also understand how logs are protected against unauthorized modification.
Development and testing environments
Ask how the vendor prevents unnecessary exposure of PHI during development and testing.
Non-production environments should generally use synthetic or appropriately de-identified data rather than live patient information to protect sensitive patient data during development and testing, since controlled handling of sensitive patient data is a core safeguard unless there is a justified and controlled need.
These controls reflect modern healthcare security practices. The precise HIPAA obligations depend on the organization’s risk analysis and applicable implementation specifications.
4. Evaluate Clinical Workflow and UX Expertise
Healthcare software can technically function while still failing its users. Many patients now expect digital access to their health information. In a nationally representative US survey, 61% of adults said they wanted to access their medical records through a mobile app or online patient portal.
Clinicians may already work across multiple systems during a single patient encounter. Adding another application, login, dashboard, or sequence of clicks can increase friction rather than improve productivity for healthcare professionals.
A healthcare software development partner should therefore demonstrate a process for understanding real workflows used by medical professionals.
That can include:
Shadowing clinicians
Interviewing physicians and nurses
Observing charting and handoffs
Interviewing administrative staff
Researching patient workflows
Usability testing
Measuring adoption and task completion
A useful question for prospective vendors is:
Can you show us an example where your software reduced clicks, manual work, or context switching within an existing clinical workflow?
5. Evaluate Accessibility and Mobile Experience
Healthcare applications may serve patients with very different levels of digital literacy, physical abilities, languages, and access to technology.
Evaluate whether the development company considers:
WCAG 2.1 or 2.2 AA accessibility
Keyboard navigation
Screen-reader compatibility
Typography and contrast
Multi-language support
Older or less digitally experienced users
Low-bandwidth environments
Mobile and tablet usage
Offline-capable workflows where appropriate
The appropriate accessibility target depends on the organization’s jurisdiction, procurement requirements, and user needs.
For mobile healthcare applications, ask how PHI is protected on the device and how authentication, secure storage, session management, and remote-wipe capabilities are handled where relevant.
6. Evaluate Healthcare AI and Data Analytics Capabilities
AI is becoming more common in healthcare applications. In a 2023 Definitive Healthcare survey of 135 professionals representing 133 US healthcare organizations, 37.8% reported using AI or machine-learning technology, and 42.2% said their organizations planned to use it within the next two years. However, healthcare organizations should evaluate AI capabilities differently from conventional software features.
Potential use cases include:
Ambient clinical documentation
AI-assisted medical documentation
Patient-facing assistants
Digital triage
Population health analytics
Readmission risk modeling
Clinical decision support
Revenue cycle automation
Healthcare data extraction
Summarization of clinical records
These use cases often also depend on healthcare data analytics for real-time clinical and operational insight.
The key question is not simply whether a vendor can integrate an AI model. It is whether the vendor can design an AI system that operates safely within a healthcare environment.
Evaluate the vendor's approach to:
PHI handling
Data de-identification
Access controls
Human-in-the-loop workflows
Model monitoring
Model drift
Bias monitoring
AI governance
Auditability
Clinical review
Data lineage
For clinical applications, organizations should define where clinician review is required and ensure that the system clearly communicates its intended use, supporting evidence, performance limits, and uncertainty. For healthcare-professional-facing CDS intended to qualify for the non-device CDS exclusion, FDA guidance explains that clinicians must be able to independently review the basis for recommendations rather than rely primarily on the software. Other CDS functions may remain regulated as medical devices.
7. Evaluate Cloud and Data Architecture
Healthcare applications often need scalable architectures that can handle fluctuating loads. Telehealth platforms can encounter demand spikes, enrollment periods can create seasonal surges, and remote monitoring systems may continuously generate data from consumer or clinical devices for near-real-time or real-time monitoring.
A development partner should be able to explain how its architecture addresses:
Scalability
High availability
Disaster recovery
Data segregation
Backup and recovery
Monitoring
API security
Performance
Reliability
Cloud architectures may use AWS, Azure, or Google Cloud Platform, with appropriate HIPAA-eligible services and configurations for healthcare software systems involving PHI.
Typical architectural components may include:
Isolated virtual networks and private subnets
API gateways
Authentication and authorization layers
Containerized microservices or serverless functions
Managed databases
Encrypted backups
Centralized logging and monitoring
The specific architecture should follow the project's requirements and the needs of different health systems rather than assuming that one architectural pattern is appropriate for every healthcare application.
8. Evaluate Data Architecture and Interoperability
Healthcare organizations should also understand where operational data, analytics data, and sensitive clinical information live.
A strong architecture may separate:
Operational databases
Analytics warehouses
Data lakes
PHI
De-identified datasets
AI feature stores
De-identification pipelines and governed access controls can allow organizations to use healthcare data for analytics and research while reducing unnecessary exposure of sensitive information.
Where applicable, evaluate support for:
HL7
FHIR
CDA/C-CDA
DICOM
Batch integrations
Real-time APIs
Interface engines
Healthcare data warehouses
9. Evaluate QA and Testing Practices
Healthcare software requires rigorous testing because failures can affect clinical workflows, patient information, revenue operations, and regulatory compliance.
A vendor's QA process should address more than conventional functional testing.
Look for:
Functional testing
Does the application perform its intended workflows correctly?
Integration testing
Do EHR, payer, laboratory information systems, devices, and other integrations exchange data correctly, including validating exchanges involving patient records, scheduling, and medical billing where those workflows are in scope?
HL7/FHIR regression testing
Do interface changes break existing messages or resources?
Security testing
Are vulnerabilities, access-control problems, authentication issues, and data-exposure risks identified before production?
Performance testing
Can the application handle expected loads and spikes?
Compliance testing
Are the required technical controls and workflows implemented and documented?
Production-like environments
Ask whether the vendor uses EHR and payer sandboxes or other realistic integration environments before production deployment.
10. Evaluate the Development and Delivery Process
The vendor's development process can have a significant impact on project risk.
A structured healthcare software engagement typically includes the following stages. Project timelines depend on scope, integration complexity, and regulatory requirements:
Discovery
The team should establish:
Business and clinical objectives
User personas
Existing workflows
Regulatory scope
Integration requirements
Data requirements
Technical constraints
Success metrics
Design
UX and architecture should be developed around actual workflows and technical requirements.
Development
Engineering should follow secure development practices and maintain appropriate testing throughout implementation.
QA
Functional, integration, performance, security, and compliance testing should happen continuously rather than immediately before launch.
Deployment
Automated CI/CD pipelines, staging environments, controlled releases, and deployment strategies such as blue-green or canary deployments can reduce release risk.
Post-launch support
Healthcare software requires ongoing maintenance because regulations, integrations, security threats, operating systems, cloud infrastructure, and clinical requirements change over time, and healthcare software systems require ongoing support for regulatory updates, security patches, API and integration changes, periodic assessments, and bug resolution. Long-term support should also include roadmap alignment and change-management support.
How Much Does Healthcare Software Development Cost?
Healthcare software development costs vary significantly depending on scope, product complexity, integrations, regulatory and security requirements, and the degree of customization. These variables can produce wide differences in project budgets, even among products that appear similar at first glance.
The following are illustrative FullStack planning ranges, not industry averages or fixed quotes:
Basic healthcare applications: Approximately $30,000–$80,000
Custom healthcare software development: Starting around $100,000
Digital therapeutics: Approximately $200,000–$600,000
Telemedicine platforms: Approximately $150,000–$400,000
Electronic Health Record development: Potentially more than $2 million
Digital therapeutics, AI-enabled clinical tools, and device-related software can require substantially greater investment when clinical validation, regulatory submissions, quality-system documentation, or postmarket support are in scope.
These figures should be treated as starting points rather than fixed project prices. An application requiring multiple EHR integrations, complex PHI controls, medical-device functionality, AI, or extensive data migration can have substantially different costs from a relatively simple patient-facing application, and an electronic health record platform often needs deeper interoperability across clinical systems.
Ongoing maintenance can represent a substantial portion of a software product’s total cost of ownership. Research cited by Carnegie Mellon University’s Software Engineering Institute places maintenance and sustainment at roughly 40%–80% of total lifecycle cost, while a US Government Accountability Office assessment found that operations and maintenance accounted for 70% of reported costs across 21 selected Department of Defense software-intensive programs over a three-year period.
For healthcare software, recurring work can include security patches, regulatory and accessibility updates, infrastructure operations, integration maintenance, monitoring, and user support.
What Healthcare Software Solutions Can Development Companies Build?
Healthcare development companies may support a broad range of applications.
What happens after launch when regulations, integrations, or security requirements change?
What measurable outcomes did your previous healthcare projects achieve?
What would you identify as the highest technical risks in our proposed project?
The strongest answers should include concrete examples, architecture decisions, measurable outcomes, and lessons learned—not simply a list of technologies.
Healthcare Software Development Engagement Models
Healthcare organizations can work with development partners through several models.
Dedicated engineering teams
A dedicated team works continuously on the organization's product or platform and can provide long-term engineering capacity.
Embedded engineers
Engineers work alongside an organization's existing product, IT, or architecture teams. This can be useful when internal teams have domain knowledge but need additional engineering capacity.
Hybrid teams
Internal teams retain ownership of key functions while an external partner supplies specialized engineering, UX, AI, cloud, or interoperability capabilities.
The appropriate model depends on internal capabilities, project complexity, required speed, and the expected duration of the engagement.
The objective is not to find a company that checks every possible technology box. It is to identify a partner whose capabilities align with the clinical, regulatory, technical, and operational risks of the specific project.
FullStack's Differentiator: AI-Native Engineering Plus Healthcare Software Development Services
For organizations evaluating FullStack, the relevant distinction isn't simply that the company offers AI development alongside healthcare development. At FullStack, we position our engineering model around AI-enabled product development and AI-native teams, applying AI across development workflows rather than treating it exclusively as a product feature.
That approach can be relevant to healthcare organizations pursuing two related objectives: building new AI-enabled healthcare products and modernizing the engineering process used to build them.
FullStack's healthcare practice covers areas including healthcare data analytics and AI, medical ecosystems, wearable health technology, and healthcare applications. Our published healthcare work includes software for medical and rehabilitation use cases, including a connected platform that provides therapists with real-time data from an exoskeleton system.
The distinction is particularly relevant when AI is being used alongside existing healthcare systems. Rather than treating AI as a separate application layer, an AI-native approach can consider AI capabilities as part of the broader product architecture—from data and APIs through user experience, workflow automation, testing, and ongoing operations.
FullStack also applies AI-enabled engineering workflows across product development, including development, testing, debugging, and modernization. Our published methodology describes a platform-first architecture approach and the use of AI across the product development lifecycle.
What to ask a prospective AI-native healthcare partner
Before selecting a vendor, ask for evidence instead of a list of AI technologies.
Some useful questions include:
Which healthcare AI systems have you taken from prototype to production?
Where does AI actually sit within the clinical or operational workflow?
How is PHI handled by the AI system and its supporting infrastructure?
What human-in-the-loop controls are used?
How are model outputs tested and monitored after deployment?
How do you prevent AI-generated code from introducing security, quality, or architectural problems?
Can you use AI to modernize a legacy healthcare application without disrupting existing workflows?
How do you evaluate whether an AI use case is appropriate before building it?
What measurable outcome did the AI system produce after deployment?
Can you demonstrate how AI is incorporated into the engineering lifecycle, rather than only into the finished product?
The goal isn’t to choose the vendor with the most AI terminology or the longest list of tools. It’s to find a partner with the engineering discipline, healthcare context, and AI maturity to use the technology where it creates meaningful value—without adding unnecessary clinical, security, or operational risk.
What should I look for in a healthcare software development company?
Look for demonstrated healthcare experience, explicit HIPAA compliance and PHI expertise, EHR and HL7/FHIR integration experience, strong security practices, healthcare-specific QA, clinical UX capabilities, accessibility expertise, and the ability to provide long-term support. If space permits in your evaluation, prioritize vendors with a proven track record delivering healthcare software development solutions rather than those that only list capabilities.
How much does it cost to develop healthcare software?
Costs vary considerably by application type and complexity. Basic healthcare applications may cost approximately $30,000–$80,000, while custom healthcare software can start around $100,000. Telemedicine software development costs range from $150,000 to $400,000, while digital therapeutics, EHR, AI, and medical-device projects can require substantially larger investments.
What healthcare software can a development company build?
Development companies can build EHR extensions, telehealth platforms, patient portals, remote patient monitoring systems, a custom healthcare solution, practice management systems, payer applications, pharmacy systems, analytics platforms, and custom medical software.
What healthcare regulations should a software development company understand?
Depending on the project, relevant requirements may include HIPAA, HITECH, GDPR, FDA requirements for applicable medical-device software, and standards such as FHIR, HL7, CDA/C-CDA, and DICOM.
What is FHIR and why does it matter when choosing a development partner?
FHIR is a healthcare interoperability standard that enables systems to exchange healthcare information through standardized APIs. A vendor's practical experience implementing FHIR can be particularly important for applications that need to exchange data with EHRs, payers, or other healthcare systems.
How to cut your AI coding costs without switching models?
This guide gives you the math, the meaningful benchmarks, and a six-step plan to cut spend without giving up capability.
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