16 Types of Healthcare Software in 2026

However, as the report was published before the coronavirus outbreak, these numbers could potentially be even higher, with healthcare apps becoming more and more popular during the pandemic.

The healthcare ecosystem is evolving with the integration of various software solutions designed to serve individuals, groups, and enterprises. In the following article, we’re going to guide you through the top 13 types of healthcare software present on the market. We’ll showcase examples of popular medical software developed and used by institutions, as well as healthcare apps used by individuals concerned about their health and well-being.

What is healthcare software and why it matters in 2026

Healthcare software encompasses the full spectrum of clinical, administrative, and analytical applications that digitize patient care delivery and health system operations — from Electronic Health Record (EHR) platforms managing longitudinal patient data to revenue cycle tools processing millions of ICD-10 and CPT transactions annually.

Two requirements now define the baseline for any compliant solution: HIPAA — governing how protected health information (PHI) is stored, transmitted, and audited — and HL7 FHIR R4, which the ONC's 21st Century Cures Act Final Rule mandates as the interoperability standard for patient data access and payer-provider exchange.

For healthcare IT decision-makers, the practical question is never just which software category to adopt, but whether to buy a commercial platform, configure a best-of-breed stack, or commission custom healthcare software development — a build vs. buy decision with Total Cost of Ownership implications that play out over 7–10 year replacement cycles.

16 of the most popular types of healthcare software

1. Electronic Health Record (EHR) Software

The two most popular types of EHR software are:

• Electronic patient record software (EPR) – used internally by hospitals to store and process their patient information.
• Electronic medical record software (EMR) – used to store data like medication types and dosage, past and planned procedures, and data on the patient’s recovery course.

Examples: eClinicalWorks, Allscripts

2. Medical database software

Similarly to Electronic Health Record software, medical database software stores patients’ histories and treatment plans. However, unlike in EHRs, the database is categorized by disease, not patients’ profiles.

Medical database software helps doctors in two key areas:

• Making better treatment decisions by cross-referencing a patient’s case with similar cases.
• Educating themselves by reviewing clinical cases of a given disease.

By enabling doctors to make more informed treatment decisions, medical database software can lead to better health outcomes.

A dermatologist can, for example, use this type of software to browse all patients diagnosed with Atopic Dermatitis and compare their symptoms, treatments, and recovery plans.

3. Medical research software

Medical research software is used for two primary purposes: education and sharing research with the medical community. This type of software is commonly used to train medical personnel and to support diagnoses if no similar clinical cases among patients can be referenced internally.

Additionally, medical research software can improve financial outcomes by streamlining research processes and reducing costs.

Image source: PubMed

Example: PubMed.gov

4. Medical diagnosis software

Medical diagnosis software for doctors allows them to exchange anonymized patient records so that they can fill any informational gaps preventing them from providing an accurate diagnosis. This type of software often leverages artificial intelligence (AI) to analyze all available patient data and generate probable diagnoses.
There are also medical diagnosis apps available for individuals. Such apps allow users to check if their symptoms require a visit to hospital. Diagnosis apps like these have become popular during the COVID-19 pandemic. By providing accurate and timely diagnoses, medical diagnosis software significantly enhances the overall patient experience.

Source: Google Play Store

Examples: Human DX, OSP Labs, COVID Symptom Tracker

5. Medical imaging software

Medical imaging and visualization software is used primarily for processing MRI/CT/PET scans and designing 3D models.

Medical 3D imaging software permits:

• Human anatomy 3D modeling. Such programs let medical technicians create tailored models for individual patients. For example, 3D modeling software is used to generate and print out a real-life model of a patient’s teeth before a planned orthodontic treatment.
  
• Designing and printing equipment or body parts. This software is used to print elements of medical equipment or body parts, like artificial limbs or coronary stents needed for cardiovascular surgery.
  

Examples: Materialise, Vepro

6. E-prescribing software

More and more countries around the world are switching to electronic prescriptions, which also means e-prescribing software is becoming a must-have for doctors.

The software lets medical professionals track, renew, and cancel prescriptions for their patients. It’s also integrated with national drug reference databases.

Example: MediTab

7. Telemedicine software

Telemedicine is truly a booming industry, with a market value expected to reach $64 billion by the year 2025 – and that’s just the data for the United States alone! What makes it so successful is its convenience for both doctors and patients.

Telemedicine software enables healthcare professionals to conduct appointments with patients online, either through a web browser or a mobile app. In some software, the video conferencing feature is complemented by e-prescriptions and a billing module.

Examples of telemedicine applications: Doxy.Me, ZingTree

8. Appointment scheduling (booking) software

Booking software helps hospitals, clinics, and medical practices manage their appointment systems online. Typically, the software features a patient panel that lets individuals schedule appointments via an app or website.

Often, it also has an email notification system and automatic reminders for doctors and patients about upcoming appointments.

Example: SimplyBook.Me

9. Medical billing software

This software helps hospital accounting departments keep track of patient invoices, payments, and any other financial operations. It’s often integrated into bigger systems, such as EHR or hospital management software.

Example: Epic Care

10. Hospital management software

Hospital management software assists hospital administration in day-to-day operations. These types of programs usually help with the automation of accounting, medical billing, claims, out-patient management, inventory, bed management, and others.

Hospital management software often integrates with EHR software to help simultaneously keep track of patient records.

Example: Availity

11. Medical equipment management software

The goal of this type of software is to relieve hospitals and medical practices of manual stocktaking and equipment maintenance.

Medical equipment management software supports the sound functioning of clinics with features like automatic maintenance scheduling and inventory alerts.

Example: Sortly

12. Health tracking apps

In 2019, the global mHealth (short for ‘mobile health’) app industry was valued at $37 billion.

A large portion of the market can be attributed to the following app categories:

• Fitness – for example, the popular 8fit app.
• Diet – for example, Fitatu Calorie Counter and Diet.
• Meditation and stress reduction – for example, the incredibly popular Calm and Shine apps.

There’s also an increasing number of apps that integrate with IoT devices worn to source and analyze users’ health data. Some of the most popular types are wristbands for sleep tracking (for example, FitBit), jewelry (for example, the health-tracking Oura Ring), glucometers, and thermometers (used, amongst other things, for menstrual cycle tracking – for example, the Kindara app).

13. Personal Health Record software (medical diaries)

Unlike health tracking apps, the majority of which are used to maintain a healthy lifestyle, Personal Health Record software serves a different purpose – monitoring diseases.

These types of software serve as medical diaries – and can be either held on the patient’s device or integrated with the doctor or hospital’s software.

A great example that demonstrates how Personal Health Record software works is the Tulipa app, designed for patients suffering from Parkinson’s disease. In the app, the patients note down any symptoms, sensations, medication, or treatment, and can generate a health report before their next doctor’s visit.

This type of software can support the patient towards recovery, or alert medical staff on the worsening condition of a patient as soon as the first symptoms appear.

14. Remote Patient Monitoring (RPM)

Remote Patient Monitoring (RPM) has revolutionized the healthcare industry by providing the ability to collect patient data outside of traditional healthcare institutions like clinics and hospitals. This cutting-edge technology enhances the depth of patient health information available and even facilitates remote diagnoses based on collected data. Much like telemedicine services, RPM technology experienced significant growth during the pandemic, as traditional health management processes were disrupted.

RPM technology includes a variety of devices, such as heart rate and blood pressure monitors, wearable ECG monitors, and meters for measuring glucose and blood oxygen levels. By enabling real-time monitoring and alerting doctors or clinics of any detected abnormalities, remote patient monitoring software plays a vital role in providing quality healthcare.

Especially beneficial for individuals with chronic diseases, post-surgery recovery patients, and the elderly, RPM technology and devices have significantly improved the efficiency and efficacy of in-home healthcare services. The continued evolution of remote patient monitoring systems is set to drive a new era in patient care, making health management more accessible and efficient.

15. Mobile health (mHealth) apps

Initially perceived as disruptive by some healthcare practitioners, mHealth apps have now become an indispensable part of modern healthcare services. These intuitive applications empower patients by simplifying administrative tasks such as settling medical bills, scheduling appointments, and facilitating virtual consultations with nurses or doctors. High-performing mHealth apps provide patients with seamless access to a range of telehealth services.

A standout feature of these innovative mHealth apps is their integration with EMR/EHR software systems. With the necessary patient consent, healthcare professionals can effortlessly access pertinent medical records during a virtual consultation. This seamless flow of information enhances efficiency by enabling swift sharing of data for referrals, prescriptions, and other crucial aspects of patient care.

When effectively integrated with local or international healthcare infrastructure, mHealth apps represent a positive disruption in the healthcare industry. They redefine the ways in which patients access their healthcare, setting new standards for digital healthcare solutions.

16. Laboratory Information Management Systems (LIMS)

LIMS are specialized software solutions designed to manage various aspects of laboratory operations. They assist in tracking samples, managing associated data, and ensuring compliance with regulatory requirements. In healthcare, LIMS play a vital role in clinical laboratories by:

• Sample Management: Efficiently tracking patient samples from collection to analysis, reducing errors and improving turnaround times.

• Data Management: Storing and managing large volumes of laboratory data, facilitating easy retrieval and analysis.

• Regulatory Compliance: Ensuring that laboratory processes adhere to industry standards and regulations, which is critical for patient safety and data integrity.

By integrating LIMS, healthcare providers can enhance laboratory efficiency, improve data accuracy, and maintain high standards of patient care.

Regulatory compliance: HIPAA, HITECH, HL7 FHIR R4, and GDPR

Compliance is not a feature to evaluate late in a vendor selection process — it is a filter that eliminates non-compliant options before a shortlist is ever formed. Any Electronic Health Record (EHR), telemedicine platform, or custom-built solution that touches protected health information (PHI) must satisfy the following frameworks without exception:

Framework	Core Requirement	Key Enforcement Body
HIPAA Privacy & Security Rules	PHI access controls, audit trails, RBAC, breach notification	HHS Office for Civil Rights
HITECH Act	Expanded liability, mandatory breach reporting, EHR incentive alignment	HHS / CMS
HL7 FHIR R4	Standardized API-first data exchange; required under CMS Interoperability Rule (CMS-9115-F)	CMS / ONC
GDPR	Applies to any solution handling EU patient data; data residency, consent management, right to erasure	EU Data Protection Authorities

Every third-party vendor — whether supplying a practice management module or a telemedicine point solution — must sign a Business Associate Agreement (BAA) before any PHI flows through their system. In our work with healthcare clients, missing or unsigned BAAs on ancillary integrations represent one of the most common and costly compliance gaps discovered during pre-launch audits.

For organizations evaluating custom healthcare software development, FHIR R4 conformance should be a build requirement from sprint one, not a retrofit. Retrofitting FHIR-compliant APIs onto a non-interoperable architecture consistently adds three to five months to delivery timelines.

Healthcare software cost and pricing: ranges, licensing models, and hidden costs

Pricing varies dramatically by category, deployment model, and organizational scale — and sticker price rarely reflects what you'll actually spend.

Typical per-category ranges:

• EHR systems: $150–$500/provider/month (cloud-based); enterprise deployments with Epic Systems can reach $1,000–$1,500/provider/month when implementation services are included
• Practice Management Software: $100–$300/provider/month for mid-market SaaS solutions
• Telemedicine Software: $50–$250/provider/month, scaling with concurrent session capacity and HL7 FHIR integration depth
• Custom healthcare software development: $200,000–$1.5M+ initial build, depending on interoperability requirements and regulatory scope

SaaS vs. perpetual licensing: SaaS dominates new deployments — offering predictable OpEx and automatic compliance updates as CMS and ONC regulations evolve. Perpetual licenses carry lower long-term subscription costs but shift the HL7 ADT feed maintenance and HIPAA audit trail upkeep burden onto internal teams.

Where Total Cost of Ownership (TCO) surprises most teams:

• HL7 FHIR R4 integration with existing systems: $50,000–$300,000 depending on interface volume
• End-user training and clinical workflow re-mapping: frequently underestimated by 40–60% [CITE: peer-reviewed EHR implementation studies]
• Downtime during go-live cutover — even a 4-hour outage in an active ED carries measurable revenue and patient-safety implications
• Ongoing interoperability maintenance as trading partner specifications change

In our work with healthcare clients, the build vs. buy decision almost always hinges on TCO at year three, not year one.

How to choose healthcare software: evaluation criteria checklist

Selecting healthcare software is where organizations most frequently misjudge scope — underweighting integration complexity and overweighting feature lists. Use this checklist before any procurement or build decision:

1. HIPAA and regulatory compliance — Confirm BAA availability, audit trail depth, role-based access control (RBAC), and encryption at rest/in transit. For DEA-scheduled substances, verify EPCS certification.
2. Interoperability and HL7 FHIR R4 API support — A vendor without a certified FHIR R4 API creates downstream CCD/CDA exchange problems and blocks ONC compliance obligations under the 21st Century Cures Act.
3. Scalability — Can the system handle HL7 ADT feed volume as patient census grows, without renegotiating licensing tiers?
4. Vendor support model — Implementation support SLAs, go-live staffing ratios, and post-deployment response times vary significantly; Epic Systems implementations, for example, routinely require dedicated analyst resources for 12–18 months post-launch.
5. Total Cost of Ownership (TCO) — Model a 5-year TCO including integration middleware, staff training, and upgrade cycles — not just licensing.
6. Customisation headroom — API-first architecture determines whether you can extend the platform without vendor dependency.
7. User adoption feasibility — Clinician workflow fit predicts adoption rates more reliably than feature counts. [CITE: peer-reviewed EHR usability studies]

In our work with healthcare clients, the build-vs-buy decision typically hinges on items 2 and 6 — when off-the-shelf interoperability coverage falls short of a network's specific payer or referral ecosystem, custom development delivers measurable ROI.

Enhancing Clinical and Operational Efficiency

It’s safe to say that the healthcare software market is in full blossom. No wonder; the digitalization of healthcare brings many benefits – improved efficiency, cost reduction, and better control of finances and patient data. With the increasing digital acceleration of medical services around the globe and a growing user base of health-tracking apps online, the industry is likely to grow. This digital acceleration is also expected to lead to improved health outcomes by enhancing the efficiency and effectiveness of healthcare delivery.

Integration and interoperability challenges in healthcare software

Even the most capable healthcare software delivers diminished value when it operates as an island. In our work with healthcare clients, the single most underestimated cost in any implementation isn't licensing or training — it's integration. Connecting an Electronic Health Record (EHR) to a practice management system, a remote patient monitoring (RPM) platform, and a billing engine requires deliberate architecture decisions that many organizations defer until they're already mid-project.

Data silos remain the dominant failure mode. A health system might run Epic Systems for inpatient care, a separate ambulatory EHR for outpatient clinics, a third-party revenue cycle management tool, and a patchwork of departmental solutions for labs, radiology, and pharmacy. Without a coherent interoperability strategy, clinicians are left reconciling patient data across systems manually — a workflow that introduces both clinical risk and administrative overhead. HIMSS Annual Health IT Survey found that data silos are consistently cited among the top barriers to care coordination by health IT leaders.

HL7 FHIR R4 is the current standard of record — but adoption is uneven. The ONC's information blocking rules under the 21st Century Cures Act mandate FHIR R4-based APIs for certified health IT, and CMS has extended similar requirements to payers. In practice, organizations encounter significant variance: some vendors offer mature, well-documented FHIR endpoints; others expose legacy HL7 v2 ADT feeds wrapped in a thin API layer that requires middleware to normalize. Before any software evaluation, IT teams should require vendors to demonstrate live FHIR R4 capability — not roadmap promises — for the specific resource types their workflows depend on (Patient, Encounter, MedicationRequest, DiagnosticReport).

Middleware and integration engines add cost and complexity that TCO models often miss. Platforms like Rhapsody, Mirth Connect, or Azure Health Data Services frequently appear as line items only after contract signature. When healthcare IT teams build custom software — or evaluate hybrid build-vs-buy approaches — an API-first architecture from the outset reduces this burden substantially. Systems designed to expose and consume FHIR-compliant endpoints natively avoid the translation overhead that plagues point-to-point HL7 v2 integrations.

CCD/CDA document exchange still underpins transitions of care in many organizations despite FHIR's momentum. Continuity of Care Documents generated at discharge need to flow accurately into receiving EHRs or HIE networks, and mapping failures at this layer directly affect ICD-10/CPT coding accuracy downstream — creating compliance exposure alongside clinical risk.

For organizations evaluating whether to build custom integration layers or purchase pre-integrated suites, the honest answer depends on the complexity of the existing vendor ecosystem and the organization's internal engineering capacity. A custom-built integration hub offers precise control and avoids vendor lock-in, but requires ongoing maintenance as FHIR profiles and regulatory requirements evolve. Pre-integrated solutions accelerate deployment but constrain flexibility — a trade-off that becomes consequential when adding emerging modalities like ambient clinical intelligence tools that need real-time EHR write-back capability.

Frequently asked questions about healthcare software

What is the difference between EHR and EMR software?

An EMR (Electronic Medical Record) is a digital chart scoped to a single practice. An Electronic Health Record (EHR) travels with the patient across providers, supporting HL7 FHIR-based data exchange and interoperability across care settings — a critical distinction for coordinated care.

What is the most widely used healthcare software in hospitals?

Epic Systems holds the largest U.S. hospital market share, deployed across most major health systems. Its dominance makes Epic integration proficiency a baseline requirement for any complementary healthcare software.

How much does healthcare software cost?

Total Cost of Ownership (TCO) varies widely — cloud-based practice management software starts around $300–$500 per provider/month, while enterprise EHR implementations routinely run $10M–$100M+ when factoring in training, integration, and customization.

What makes healthcare software HIPAA compliant?

HIPAA compliance requires end-to-end encryption, role-based access control (RBAC), comprehensive audit trails, Business Associate Agreements (BAAs), and breach notification protocols meeting HHS standards — not just a checkbox, but an auditable control framework.

Should I build custom healthcare software or buy off-the-shelf?

Off-the-shelf solutions reduce time-to-compliance but constrain workflow fit. Custom healthcare software development makes sense when your care model is genuinely differentiated — though regulatory overhead (ONC certification, HIPAA) significantly raises build complexity and cost.