6 Top-Rated AI Medical Software
Forget overflowing waiting rooms and endless paperwork with AI-enabled medical software. These tools use predictive analytics, [1] machine learning, [2] and generative AI [3] models to transform how healthcare professionals and medical practitioners manage patient records, schedule appointments, and assess patient health.
AI medical software can transcribe voice notes into textual documents, assist patients in booking appointments using past appointment data, and measure patient vitals using a webcam. This automation frees up valuable time for doctors and nurses to focus on patient care and complex medical issues.
This article lists six top-rated AI medical tools based on verified user reviews and our research team’s analysis, sorted alphabetically. Per our analysis, the listed products are categorized into electronic medical records (EMR), medical patient scheduling, and telemedicine tools.
We selected products for this article based on their average ratings between May 2022 - May 2024, which may differ from their current overall average ratings.
Top AI EMR software
What are the common AI-enabled features of EMR software*
Transcription: Convert spoken words into text using AI-enabled speech recognition. The feature understands common medical phrases and jargon used by medical professionals to ensure accurate content generation.
Auto-populate: Gather data from past patient records, such as lab reports, prescriptions, appointment notes, automatically to summarize them with key insights or create new documents.
Notetaking: Generate textual medical notes or structured Subjective, Objective, Assessment, and Plan (SOAP) notes for treatment plans or quick reference during appointments.
1. Carepatron
Carepatron leverages AI-enabled speech-to-text to convert voice notes or dictations during patient interactions into concise and accurate written documents, such as patient records, referral letters, reports, and prescriptions. The AI algorithm is trained on common medical speech patterns and terminology to understand the context of a conversation and identify relevant relationships between them.
Starting price: $12 per user per month
Billing cycle: Annual
Customer support options: Chat, FAQs, and help center
Who should consider Carepatron’s AI capabilities?
Medical practitioners looking to condense lengthy voice notes into concise documents can benefit from Carepatron’s AI solution. By understanding medical jargon, accents, and background noise, the tool minimizes errors in transcribed notes, ensuring accurate patient information in the EMR system.
2. NextGen Office
NextGen Office leverages AI-enabled ambient listening technology to capture patient-doctor conversations on the NextGen mobile app during appointments. The AI tool then extracts key details from the recorded conversations and converts them into SOAP notes, a common format in medical documentation. These notes are automatically added to the system for review and edits before reaching the patients’ EHR system.
Starting price: Available upon request from the vendor
Billing cycle: Monthly
Customer support options: Call, email, and knowledge base
Who should consider NextGen’s AI capabilities?
Medical practitioners looking to save time and errors in manual documentation can benefit from NextGen’s AI capabilities. The tool’s mobile application comes in handy for recording and converting conversations into SOAP notes, generating effective treatment plans.
Pro tip
Ask the vendor about the rigorous training of the tool’s AI model with real patient data for testing and data validation process. Also, explore how the AI uses patient data to arrive at its conclusion and if it has potential biases. This minimizes the risk of the AI making mistakes that could impact patient care.
Top AI medical patient scheduling software
What are the common AI-enabled features of medical patient scheduling software*
Smart messaging: Set automated pre-visit text messages to share appointment details, procedure details, and intake forms with patients, or answer patient queries automatically.
Appointment scheduling: Provide patients with the most preferred slots, practitioners, and appointment types based on their historical appointment data.
Automated response: Send automated appointment reminders, follow-up emails, or query responses personalized for every patient.
3. ModMed
ModMed leverages AI to offer 24x7 assistance for patients to book appointments (Klara Self-Scheduling) through the online portal or chat on their mobile device. Based on the historical appointments, Klara suggests relevant slots that fit the patients’ requirements in chat. It also sends personalized, pre-visit text messages automatically, prompting patients to confirm attendance, check procedure details, or fill out intake forms.
Starting price: Available upon request from the vendor
Billing cycle: Monthly
Customer support options: Call, chat, webinar, and knowledge base
Who should consider ModMed’s AI capabilities?
Medical practitioners looking to provide patients with a simple and round-the-clock appointment scheduling and assistance can benefit from ModMed’s healthcare AI solutions. Its pre-visit text procedures, intake forms, and attendance confirmation reduce no-shows and prepare patients for the appointment.
4. Sign In Scheduling
Sign In Scheduling’s AI capabilities analyze historical appointment data (peak booking times, appointment duration, cancellation patterns) to recommend time slots on the portal for patients to schedule appointments. The portal is automatically updated with alternative slots for rescheduling or staff unavailability. The smart messaging feature uses pre-set messages to respond to patient queries via chat, send follow-up emails to gather feedback, and notify on appointment changes, booking, rescheduling, or cancellation.
Starting price: $460 per year
Billing cycle: Annual
Customer support options: Call and knowledge base
Who should consider Sign In Scheduling’s AI capabilities?
Medical practitioners looking to simplify and maintain transparency in communication with patients can benefit from Sign In Scheduling. They can allow patients to book, reschedule, or cancel appointments based on their preferred time slots using a self-service portal. In addition, the AI-enabled automated emails and notifications ensure that the patients are heard and informed at all times.
Pro tip
Define the specific problems to be addressed by the AI medical software. Is it for diagnosis aid, treatment planning, administrative tasks, or medical research? This will help streamline the search by focusing on what is required instead of setting with what is easily available.
Top AI telemedicine software
What are the common AI-enabled features of telemedicine software*
Virtual assistant: Enable AI-enabled virtual assistant to help patients with connectivity issues via chat during online appointments or in the virtual waiting rooms.
Risk identification: Capture patient vitals using a webcam on the appointment portal that leverages machine learning to measure body temperature, heart rate, and other vitals and identify potential health risks.
Predictive analysis: Prioritize appointments based on the identified risks and urgency of the case.
5. EpicCare
EpicCare’s generative AI assistant answers user questions about the patient’s health based on text-based prompts. These include medical history, lab results, or lifestyle factors to identify patterns that could signal potential health risks. The AI tool prioritizes patient appointments based on their health analysis and urgency.
Starting price: Available upon request from the vendor
Billing cycle: Monthly
Customer support options: Call, email, and training
Who should consider EpicCare’s AI capabilities?
The generative AI assistant of EpicCare helps medical practitioners and researchers by gathering valuable insights extracted from patient data. This aids in the early detection of risks and informed decision-making towards medical developments. The real-time patient categorization based on their urgency helps medical practitioners prioritize cases and deliver timely care.
6. Mend
Mend offers virtual waiting rooms with a library of health and wellness videos and podcasts personalized for every patient based on their past records. The tool’s connectivity assistant will check for any connection issues in the virtual waiting room and offer solutions via chat. Patients can use the online portal to capture their vitals via webcam on any device (mobile or computer). The webcam uses machine learning models to read the patient’s heart rate, blood pressure, breathing cardiac workload, body temperature, and other vitals to alert the practitioners of any risks beforehand.
Starting price: Available upon request from the vendor
Billing cycle: Monthly
Customer support options: Call and knowledge base
Who should consider Mend’s AI capabilities?
Mend is worth considering if you’re looking for automated waitlist management, patient education materials, and built-in vital capture features. Medical practitioners providing telemedicine services can make the virtual waiting room less tedious with informative content and connectivity assistance. The ability to capture vitals at home eliminates the need for separate equipment or in-person visits for vital measurements.
Pro tip
Look for vendors who actively invest in the research and development for their AI solutions. This shows that they are staying at the forefront of AI healthcare advancements. With this, the AI software will learn and improve over time and can also be retrained with new datasets or integrated with new medical knowledge resources for improved diagnosis.
What are the benefits of using medical tools with AI capabilities?
AI medical tools solve common challenges of manual data entry, document management, and appointment scheduling. Below, we discuss some common benefits of AI medical solutions based on their features.
Benefit | Description |
|---|---|
Reduced administrative burden | AI-enabled features of medical software automate repetitive tasks, such as data capturing, transcription, document processing, and automated emails and notifications. This frees up time for medical practitioners to enhance patient care instead of sorting documents. |
Improved patient care | The predictive analysis feature of AI medical software analyzes patient vitals and lab reports to identify potential health risks, which might be missed by practitioners due to limited appointment time. This helps them draft accurate and effective treatment plans for patients. |
Remote patient monitoring | The telemedicine features of AI medical software ensure that distance doesn’t stop patients from getting the right care. The tool allows scheduling online appointments with virtual queue management. Patients can scroll through educational content related to their illness or general healthcare while waiting. The AI assistant is there to assist the queue with any connectivity issues before the appointment. |
How much does AI medical software cost?
Medical software offering AI capabilities can cost as low as $2.75 per month or up to $50+ per month, depending on various factors, including the available AI capabilities, number of users, training, and integration. Most AI medical tools typically include the following pricing plans:
Free trials: Range from seven to 30 days and give users access to either all or limited AI features of the software. These no-cost trial plans are ideal for users who wish to try out a tool before purchasing it.
Free versions: Offer free forever features of the medical software. These free plans are ideal for small businesses on a budget. However, the AI-enabled features are currently not available in the free plan of the listed tools.
Entry-level plans: Start at $2.75 per month and offer access to standard features, such as appointment scheduling, automated notifications and responses, and transcription. summarization. These are suitable for businesses with basic medical practice needs.
Mid-tier plans: Range from $19 to $50 per month with AI-enabled medical features, such as vital measurement and voice assistant for appointments. These are suitable for businesses that have outgrown basic medical operations.
High-end plans: Costs much more than mid-tier plans and offers a range of advanced AI capabilities, including unlimited entry-level and mid-tier plan features. Suitable for medical professionals with extensive customization and scalability requirements.
Hidden costs associated with AI medical software
Besides the software license, additional costs may include:
Training and consulting: Additional guidance or training on using the AI medical platform offered by the software provider may come at an additional cost.
Third-party integrations: While many AI medical tools offer integrations with popular third-party services and platforms, some integrations may incur additional costs such as subscription fees or usage-based pricing.
Data storage: Digital storage is a part of most AI medical tools’ subscription plans. However, lengthy files may require additional storage, which the software vendors may charge for.
Frequently asked questions when selecting AI medical software
Here are some common questions to ask software vendors:
Is the software HIPAA compliant?
The Health Insurance Portability and Accountability Act (HIPAA) safeguards patients’ protected health information (PHI). As AI models train on user data and medical software deals with PHI, users must check for compliance with the policy regulations and the measures taken to protect patient data. These include regular audits and backups, multi-factor authentications, and encryption while data sharing and storage.
What specific AI features does the software offer for medical practices?
The AI features offered by medical software tools vary for different medical practice operations. Some offer assistance with electronic medical records, while others are focused on patient engagement, telemedicine, and so on. It is important to pay attention to the practice’s and staff’s requirements alongside the tool capabilities to pick the right tool.
Can the software integrate with other practice management tools?
Most AI medical tools integrate with other tools used for managing a medical practice. These include customer relationship management (CRM), database management, payment processing, and other relevant tools. However, the process of integration may vary for these tools such as integration via APIs, add-ons, or browser extensions.
Methodology
To be considered for this list, products had to:
Have at least 20 unique product reviews published on Software Advice within the past two years, with an average rating of 4.0 or higher (as of May 9, 2024).
Meet our market definition for medical software: “Medical software is a broad term that includes software tools that help manage the clinical and administrative functions of healthcare organizations. These systems are tailored to automate healthcare processes, including billing, patient scheduling, creating and managing patient records, prescribing medication and more.”
Show evidence of offering AI capabilities as demonstrated by publicly available sources, such as the vendor’s website.
*Our research team identified these features from vendor websites (as of May 9, 2024) based on their analysis of what users find valuable in or expect from AI-enabled medical software. This list is not exhaustive. For additional capabilities, refer to the vendor's website.
Research for this article was provided by Rakshat Chhokar.
For the section titled “How much does AI medical software cost?”, only products with publicly available pricing information and AI features, as of May 9, 2024, were considered for pricing calculations.
Editorial Independence: We select and rank products based on an objective methodology developed by our research team. While some vendors may pay us when they receive web traffic or leads, this has no influence on our methodology.
Definitions
Predictive analytics uses data, statistics, algorithms, and machine learning to predict future outcomes based on historical data. Predictive analytics is defined by four factors: a focus on prediction, a quick analysis measured in hours or days, a focus on the accuracy of the predictions, and a focus on how easy the analysis is to understand. In other words, predictive analytics has to quickly and easily predict realistic future outcomes based only on past data.
Machine learning (ML) is a computer science that uses data to learn in the way humans do. It is a category that falls under artificial intelligence (AI). ML uses data and algorithms for different technologies, including deep learning, neural networks, and natural language processing (NLP). By analyzing data, ML can learn patterns and make decisions without the need for human intervention.
Generative AI refers to AI techniques that learn a representation of artifacts from data, and use it to generate artifacts that resemble but don’t repeat the original data, including text, images, video, audio, structures, computer code, synthetic data, workflows, and models of physical objects. Generative AI also can be used in art, drug discovery, or material design.