Top 20 Types of Medical Software in 2025

EHR software systems help healthcare organizations store and manage patient data. These electronic patient record software solutions digitize complete patient charts from multiple sources and store them in a single centralized location. Integrating an EHR system with a cloud-based CRM tool provides even more capabilities for improved patient engagement and coordination by enabling personalized care and streamlining communication. For example, an agentic AI platform can enable healthcare organizations to automate appointment reminders, follow-ups, and updates to personalized care plans.

• Healthcare professionals can now access comprehensive information about their patients securely and instantly. This enables improved clinical decision-making and secure data exchange with other providers and systems for streamlined care coordination.
• Patients also have easy and secure access to their medical records through online portals, empowering them to view critical information like test results, schedule appointments, and communicate with their providers.
• Examples: Epic Systems, Cerner, Allscripts, athenahealth

Medical billing software and coding platforms, when integrated with an AI-driven patient management system, help ensure accurate billing by automating translation of patient medical records into standardized billing codes. Integrating AI with a billing system can unlock the full potential of an organization's data.

• Providers reduce time-consuming, error-prone billing and coding tasks with automated processes to ensure greater accuracy, resulting in fewer claim denials and faster processing.
• Patients have easy access to accurate and timely medical bills.
• Examples: Kareo, AdvancedMD, DrChrono

Medical diagnosis software analyzes huge amounts of patient data to help generate accurate diagnoses and facilitate the secure exchange of patient records with colleagues. By integrating an AI-powered diagnostic tool with a cloud-based CRM system, providers can access a centralized location that provides a complete view of a patient’s record.

• Providers are better able to ensure diagnostic accuracy and early disease detection, and securely share patient information.
• Patients benefit from earlier diagnoses with reduced wait times and personalized treatment plans.
• Examples: IBM Watson Health, Zebra Medical Vision, Aidoc

Telehealth software solutions enable healthcare professionals to conduct virtual patient appointments. Integrated with an AI-powered digital experience platform, healthcare providers can connect their patients with access to a full menu of virtual care services.

• Providers can offer patients easy access to care and save time by automating processes like patient scheduling, appointment reminders, and follow-ups.
• Patients have greater access to healthcare and a more personalized experience, while also saving travel time.
• Examples: Teladoc Health, Amwell, Doxy.me, ZingTree

With its decentralized nature, cryptographic encryption, and immutable ledger for patient privacy, blockchain technology enables the secure exchange of patient data across healthcare systems. For even greater data security, blockchain technology can be integrated with an AI-driven healthcare data platform to ensure transparent and tamper-proof patient records.

• Providers enhance patient data management and the security and privacy of telehealth consultations and remote patient monitoring.
• Patients can maintain control over access to their data, with the knowledge that it cannot be accessed by unauthorized users.
• Examples: Medicalchain, Guardtime, Patientory

RPM technology encompasses a wide range of devices, such as heart rate and blood pressure monitors, that enable remote collection of patient data. IoT-powered tools, like smart glucose monitors, provide real-time health tracking and help providers catch potential issues early. When RPM software is integrated with an AI-powered patient management system, providers can monitor patient data and receive real-time alerts.

• Providers can monitor patient health from a distance, adjust treatment plans as needed, and offer better support for chronic disease management. Real-time access to patient data also helps prevent complications and reduces hospital readmissions.
• Post-surgery patients, those with chronic conditions, and older adults, in particular, benefit from the ability to stay connected to their care teams without frequent clinic/hospital visits.
• Examples: Livongo, BioTelemetry, iRhythm

Hospital management software and practice management software solutions are often integrated with EHR software systems to automate and streamline accounting, scheduling, claims, outpatient management, medical billing, inventory, and other day-to-day administrative tasks. Incorporating access to an AI-powered CRM platform streamlines workflows and enhances coordination between front-line care teams and back-office operations.

• Providers enjoy a reduced administrative burden and improve patient flow by automating operations.
• Patients have easier access to their medical records, appointment scheduling and reminders, test results, and more with reduced wait times.
• Examples: eClinicalWorks, athenahealth, NextGen

Wearable device integration software makes it possible to transfer and integrate data from wearable devices with other healthcare systems. Integrating wearable software with access to an AI-driven CRM platform keeps providers informed about changes in patient conditions.

• Providers can track patient vitals and trends remotely, enabling them to provide personalized care and insights.
• Patients receive feedback and support that encourages proactive health management.
• Examples: Philips IntelliBridge, Validic, Kealth, RTHM Health

Population health management (PHM) software solutions are digital tools designed to aggregate data to manage and improve the health outcomes of specific populations. Integration with an AI-powered analytics platform facilitates robust analytics and dashboards.

• Providers use data-driven insights to identify high-risk patients and intervene with preventive care, enhance patient engagement, and deliver higher-quality care while reducing healthcare costs.
• Patients benefit from early interventions for potential health issues and improved communication with providers.
• Examples: Health Catalyst, Innovaccer, Optum

Predictive analytics platforms help providers recognize health risks early by identifying patterns in large patient datasets. AI-powered tools analyze real-time data, flagging potential issues before they escalate and giving doctors the insights they need to act quickly. These platforms also improve hospital operations by predicting appointment no-shows, optimizing scheduling, and managing resources more effectively. AI-driven analytics can help turn complex data into real-time insights, helping healthcare teams make smarter, more proactive decisions.

• Healthcare providers use these tools to intervene proactively and personalize treatment plans for patients at higher risk of complications or readmission.
• Patients benefit from early detection and personalized care.
• Examples: SAS Health Analytics, Tableau, IBM SPSS

Healthcare supply chain management software helps hospitals and clinics keep track of medical supplies, from ordering and delivery to storage and use. It also provides insights into spending and inventory, which makes it easier to manage costs and keep operations running smoothly. Integration with an AI-powered CRM cloud platform enables real-time tracking of inventory changes.

• Healthcare providers benefit from timely delivery of supplies, while their organizations can automate manual supply chain tasks, reduce costs, and improve care delivery.
• Patient treatment delays are reduced and outcomes improved with timely access to critical supplies and medications.
• Examples: Oracle SCM, SAP Ariba, GHX

VR technology enables the creation and control of three-dimensional environments that provide immersive simulations for physical and mental health rehabilitation. Integration with an AI-powered CRM platform can optimize planning and patient-provider connections.

• Therapists get support for explaining procedures to patients and tracking their performance over time.
• Patients benefit from customized, personalized therapy that is more engaging than traditional therapies, which helps patients adhere to their treatment plans.
• Examples: XRHealth, MindMaze, Psious

Often integrated with the EHR system, these digital platforms support the management of patient appointments and facilitate communication with patients. Integration with a cloud-based platform designed for healthcare can help simplify and optimize planning and connect patients and providers.

• Providers can reduce no-shows and improve patient engagement and practice management with automated reminders.
• Patients benefit from a convenient way to book appointments and communicate with their providers online, which helps reduce missed appointments.
• Examples: Zocdoc, AdvancedMD, NextGen Healthcare, Solutionreach, Luma Health

Healthcare mobile apps help patients manage their health and connect with their healthcare providers, while integration with an AI-powered CRM platform can provide unified views of patient data.

• Providers can communicate with patients and facilitate care coordination with seamless interactions across multiple touchpoints.
• Patients are empowered to take control of their health by using medical apps to track their health metrics, schedule appointments, access medical information, and enable self-management of chronic conditions.
• Examples: MyFitnessPal, Headspace, Ada Health

Electronic prescription and medication management software includes tools that enable the electronic creation, transmission, and refills of prescriptions. With the integration of a HIPAA-compliant healthcare data hub with AI insights, providers can manage patient prescription data within patient records on an AI-powered CRM.

• Physicians can send accurate prescriptions directly to pharmacies, reducing medication errors, and improving patient safety.
• Patients gain faster access to their medications and clear instructions for use, promoting more active participation in their health.
• Examples: Surescripts, Practice Fusion, DrFirst

An HIE is a system that facilitates the secure exchange of patient information electronically across organizations to help improve the coordination of patient care. Integrating a unified healthcare CRM platform with an HIE platform can enable real-time access to comprehensive clinical data.

• Providers can access patient records in real time to enable more informed clinical decision-making, prevent redundancy in testing, and enhance patient safety.
• Patients gain access to a complete view of their records from multiple providers, enabling more informed decisions about their health.
• Examples: Orion Health, NextGen HIE, InterSystems HealthShare

CDMS is a digital tool that uses AI algorithms to analyze patient data for management of chronic conditions like heart disease, asthma, and diabetes. Integrating a CDMS platform with a 360-degree patient management system can empower care teams with real-time insights into patient progress.

• Providers can share information with each other and coordinate care to improve outcomes and reduce hospital admissions.
• Patients can identify their health risks and actively participate in their treatment plans with improved medication management and better communication with their providers.
• Examples: Omada Health, WellDoc, CareCentrix

Clinical trial and research management platforms are used by researchers and pharma companies to manage all aspects of clinical trials, including recruitment and communications with participants. When integrated with an AI-powered healthcare CRM platform, this software enhances data sharing and supports more patient-centered clinical research.

• Clinical trial managers can improve the efficiency and speed of their clinical trials, leverage electronic data capture for data accuracy, and streamline collaboration among study teams.
• Patients benefit from close monitoring of trial participants, assuring safety and quick identification of issues.
• Examples: Medidata, Veeva Systems, IBM Clinical Development, Bioclinica

Radiologists use medical imaging and radiology software, or PACS (Picture Archiving and Communication System), to store, manage, and distribute medical images like CT scans, X-rays, and MRIs. These solutions are often integrated with a radiology information system (RIS) for patient data management. This software is often integrated with an AI-powered patient management system so that providers can directly access patient records for seamless care delivery.

• Providers enjoy quick and secure access to patient imaging data, facilitating collaboration among specialists, diagnostic accuracy, and enhanced patient care.
• Patients benefit from faster and more accurate diagnoses, earlier detection of diseases, improved treatment planning, and the ability to monitor their treatment over time.
• Examples: GE Centricity, Philips IntelliSpace, MergeHealthcare