Belitsoft > Top-7 AI Voice Agents for Clinical Trial Screening

Top-7 AI Voice Agents for Clinical Trial Screening

Clinical trial recruitment platforms and CROs use voice AI during clinical trials to call potential participants, conduct initial screenings, and schedule appointments. If patients ask difficult questions, the AI transfers them to a human. These systems follow rules based on the trial protocol and stay within the script. They ask scripted questions and log the reasons why a person qualifies or does not qualify. Since these systems process sensitive health data (PHI), developers must make sure they comply with regulations like HIPAA. Every action the AI takes must be recorded to show who spoke, what they said, and which version of the protocol was in effect. Deploying these systems requires securely connecting to required databases (Clinical Trial Management Systems, EHR, etc.) and scheduling software in compliance with medical data regulations.

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1. Belitsoft's Custom AI Voice Agents for Clinical Trial Screening

Belitsoft is an experienced custom AI agent development company that builds AI voice agents for clinical trial screening for each client individually. They don't force you to buy ready-to-use solutions that you must adapt to, but create tailored AI voice agents based on how your screening process works exactly.

They don't sell all-in-one software with a lot of features where AI agents are just a part, but create separate AI voice agents on demand for each client's request and work directly with clinical recruitment platform vendors to create AI voice agents for their specific needs and integrate them into their CRM,  their customers' EHRs and other systems.

If your business related to clinical trials relies largely on making a high volume of calls a week to check patient eligibility for trials, this is exactly what Belitsoft designs AI voice agents for.

Their AI voice agents for clinical trial screening are HIPAA-compliant, and you have exclusive rights on it. There are no subscription fees or monthly payments for third-party products you never fully control.

Let's, for example, take a look at' one of the recent case studies of Belitsoft from March 2026. Belitsoft engineered a custom AI voice agent for a clinical trial company.

The AI voice agent can call a patient within 30 seconds after receiving information about them, confirm their identity, and speak with them.

Throughout the call, the AI voice agent checks patient qualifications and writes the resulting data into the client database. Belitsoft engineers built a memory tool to track the conversation history. The client receives uniform, accurate data from every call.

The AI voice agent evaluates patients in hours instead of days. It can dial hundreds of numbers simultaneously, which drastically reduces the need for human operators.

Belitsoft developers programmed the AI voice agent with strict limits to protect patient information and comply with privacy laws. For this solution, their developers selected an independent HIPAA-based LLM vendor that specifically supplies compliant language models. The final AI voice agent software operates on Amazon Web Services and makes calls using Twilio.

2. Bond Health

Bond Health provides an AI-driven, cloud-based patient recruitment and workflow automation platform that helps hospitals find and enroll patients for clinical trials.

Bond Health plugs its software into the hospital’s medical database, like Epic and Cerner, using APIs, HL7, and HL7 FHIR communication channels. Hospitals can usually set up these systems in up to six weeks. Once connected, the software uses an LLM to scan the electronic health records. The AI reads the text and compares the information it reads against the rules of the clinical trial to find the individuals whose medical histories match the trial’s requirements.

Automated voice programs call these individuals, ask questions from a prepared script, and arrange clinic visits. If an individual needs human assistance, the program transfers the call to a staff member.

Bond Health stores its data on internet servers, securing access to it with passwords, user roles, and AES-256 code. The vendor states they follow medical privacy laws, such as HIPAA.  

For payment, Bond Health charges a base fee to install the software. Then, they charge an additional fee for every patient who officially starts a trial.

3. Grove's Grace

Grove sells a digital tool, Grace, to help hospitals run clinical trials. The company pairs Grace with a specialized database to manage patient contacts. 

Grace is an artificial staff member that communicates with people over the phone, text messages, and email. The software answers common questions, evaluates if a patient qualifies for a trial, sets up dates for clinic visits, and connects the patient to a human when necessary. The software relies on approved medical scripts and displays data directly inside the main database system. Grove says the software speaks 14 languages and supports various accents.

Grove relies on Google Cloud to store information. They keep each client separate and encrypt all data. The platform connects to Calendly, Outlook, Salesforce, HubSpot, and tools like Advarra Clinical Conductor, RealTime, and CRIO. Grove states they follow HIPAA, SOC 2 Type 2, 21 CFR Part 11, GxP, and ISO Artificial Intelligence standards.

Grove does not share how much they charge for this product.

Recently, Hippocratic AI purchased Grove.

4. TrialWire

TrialWire operates a cloud-based conversational AI platform that works as a specialized CRM extension on Salesforce to help find patients for clinical trials. 

The company recently introduced a software product they call AI Voice Screen. Their software uses artificial language models to converse with people over the phone and record their medical details.

They run their platform on the Salesforce Health Cloud to follow medical privacy laws, such as HIPAA for the United States and GDPR for Europe.

5. SOGLIA's ELLA

Soglia sells a software program called Ella to help hospitals talk to potential patients. 

Their conversational AI and patient recruitment platform uses voice agents to hold conversations over the phone. It explains research studies to candidates, checks if they qualify, and directs them to doctors. 

The company states their system holds realistic conversations and allows hospital staff to customize exactly what the system says to callers.

6. Power

Power promotes a conversational AI and patient recruitment and  protocol-specific pre-screening tool to replace human call centers. Their automated voice programs call medical patients and ask questions to verify their health history. 

The system records the conversation, organizes the patient's answers, and connects them to electronic medical records. 

A human staff member makes the final decision on whether a patient qualifies for a trial.

The company states their voice program finishes 98% of calls successfully, and the average call lasts 8 minutes.

7. Ushur

Instead of a separate product just for voice calls, Ushur provides an AI agent-powered customer experience platform. They have a clinical trial automation module to help biological and pharmaceutical research staff automate clinical trials: recruit patients, evaluate candidates, and collect electronic consents.

Their goal is to recruit patients faster, give research staff less work, and help hospital staff eliminate unnecessary phone calls to patients.

The company asserts its software comes with built-in security and supports HIPAA, GDPR, HITRUST, SOC, and ISO 27001.

To show their system works, Ushur promotes statistics like lowering patient dropouts by 15-20% and eliminating 42% of outbound staff phone calls.

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HIPAA-Compliant AI Voice Agent Development on AWS for Clinical Trial Recruitment Company
HIPAA-Compliant AI Voice Agent Development on AWS for Clinical Trial Recruitment Company
Our client, a SaaS founder, is one of the top companies in clinical trials research and patient recruitment services in the USA. We have been working with the client for the past 5 years. In 2026, we developed and implemented a HIPAA-compliant AI voice agent. The client cuts costs with automated calls, they now don't have to hire, train, and keep a large team of call operators, and their customers, pharmaceutical companies, get their first batch of applicants much faster than before.

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