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Best Conversational AI Products

Best Conversational AI Products

Conversational AI is an advanced technology that allows machines to understand, process, and respond to human language in a way that is both contextually relevant and interactive. In healthcare, it's increasingly being seen as a way to provide robust patient interactions, allowing for automation of routine tasks and an enhanced patient experience that can be tailored to individual needs.

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Conversational AI: Products


3 products
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Rated In Top 10%
Rated In Top 10%
Versatile platform
Versatile platform
5+ years in business
5+ years in business
Rated In Top 10%
Rated In Top 10%
Versatile platform
Versatile platform
5+ years in business
5+ years in business

Andor Health was born over 4 years ago with a single mission; to fundamentally change the way in which care teams, patients, and families connect and collaborate. By harnessing the latest innovations in OpenAI/GPT models, our cloud-based platform unlocks data stored in source systems - such as electronic medical records - to deliver real-time actionable intelligence to care teams within ubiquitous virtual collaboration platforms like Zoom. By perfecting communication workflows, our platform accelerates time to treatment, decreases clinician burnout, and drives better patient outcomes.  

Healthcare institutions and providers use ThinkAndor® to enable providers to configure patient and clinician interactions with ubiquitous team collaboration platforms. This eliminates the need to manage added applications. ThinkAndor® enables a frictionless virtual interaction allowing physicians and patients to communicate without being distracted by disjointed technologies during a virtual consultation. 

ThinkAndor is the only integrated virtual collaboration platform that can truly bring together all aspects of outpatient, inpatient, post-acute and at home virtual care collaboration through the 5 Pillars of Virtual Health: Virtual Visits, Virtual Hospital, Virtual Patient Monitoring & Care Management, Virtual Team Collaboration, and Virtual Community Collaboration. 

Features include:

  • Virtual visits launched from the EHR
  • Voice-to-text clinical notes
  • Real-time alerts and notifications
  • Secure collaboration channels
  • ThinkAndor® AI Bot provides relevant content and clinical context to visits and care teams
  • Device-agnostic virtual rounding, nursing, sitting and remote consults to power the virtual hospital
  • Remote specialty consults such as Tele Stroke, Tele Psych, and Tele ICU
  • Access to a virtual on-demand network
  • Multi-room/patient virtual sitting for a variety of risk types
  • Virtual nursing to address staffing shortages

In 2020, Microsoft M12 took an investment position in Andor Health and works very closely to optimize virtual interactions leveraging OpenAI and GPT. Since then, Andor Health has grown to serve over 70,000 providers and over 500 hospitals leveraging the Andor Health platform across the US, Canada, and UK. Orlando Health, Medical University of South Carolina, Tampa General Hospital, Yale New Haven, and the National Institutes of Health are among some of the most notable. You may find some of our most prestigious partners here, https://andorhealth.com/partners.html. 

Most Importantly, Black Book has ranked Andor Health as the #1 Virtual Care Collaboration Solution with the Highest Client Satisfaction in 2023! Black Book Market Research used 18 key performance areas of operational excellence to rank Virtual Care Solutions vendors, and recognized Andor Health as the Highest in Client Satisfaction.  More importantly, Black Book reached out to nearly 1000 provider organizations, hospitals, and health systems to perform this independent market evaluation with Andor Health taking  #1 in 13/18 key performance indicators across all 5 pillars of virtual health & collaboration! This success is a proven indicator of Andor Health’s focus to empower clinicians and care teams with distinct, AI-powered virtual collaboration experiences. 

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product capabilities
Access & Scheduling
Intake & Virtual Waiting Room
Virtual Encounter
Diagnosis & Documentation
Billing, Orders, & Follow Up
Technical Support
Flexible Staffing
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key clients
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
+50 verified clients
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Versatile platform
Versatile platform
5+ years in business
5+ years in business
Versatile platform
Versatile platform
5+ years in business
5+ years in business

Infermedica's Medical Guidance Platform is a set of AI-driven healthcare technologies that enables symptoms assessment and digital triage, and supports communication between physicians and patients.

At the core of Infermedica’s technologies are its Medical Knowledge Base, Inference Engine and API gateway.

Infermedica’s platform can be used by healthcare providers, insurers, telemedicine companies, employers, and governments to minimize inappropriate use of medical services, improve patient navigation, and user satisfaction. 

Symptom checking, intake and follow-up features provided by Infermedica’s platform can be freely implemented on webpages, mobile apps, patient portals, chatbots, voicebots, call centers, and others. It is possible through flexible API, and our ready-to-use solutions.

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product capabilities
Provider directory and search
Transparent information
Virtual triage
Low-acuity care navigation
Virtual triage
Care coordination: PCP and specialist
Health at home
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key clients
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
+50 verified clients
To see which organizations are using this product, sign in or create a free account.

Visit Website

Product Logo
Rated In Top 10%
Rated In Top 10%
Versatile platform
Versatile platform
5+ years in business
5+ years in business
Rated In Top 10%
Rated In Top 10%
Versatile platform
Versatile platform
5+ years in business
5+ years in business

A voice and image-based conversational AI-powered synthetic human clinically validated to collect more complete and actionable patient data than doctors

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product capabilities
Contextual understanding
Interoperability
Data security and privacy
Naturalistic interaction
Scalability
Adaptability
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key clients
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
Leading Health System
Health system
+50 verified clients
To see which organizations are using this product, sign in or create a free account.

Visit Website

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Buyer's Guide


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A Buyer's Guide to

Conversational AI

What is conversational AI?
Conversational AI is an advanced technology that allows machines to understand, process, and respond to human language in a way that is both contextually relevant and interactive.
Within the healthcare sector, this technology is increasingly deployed to automate routine tasks and deliver a more robust and personalized patient experience. Conversational AI leverages a combination of machine learning, natural language processing, and occasionally deep learning to interpret and respond to user inputs, with a conversational user interface that mimics human interaction. Digital health companies deploy conversational AI through chatbots, voice assistants, messaging apps, or any other type of platform where natural language interactions occur.

Conversational AI solution types

Pre-care interaction Solves for important pre-care interactions including symptom search, appointment scheduling, and health information.
Care process Supports symptom checking, patient education, and communication between patients and care providers.
Post-care management Promotes effective post-care management with follow-up appointment scheduling, reminders, and care plan adherence support.
Enduring relationship Provides ongoing care plan education, monitors symptoms, manages care gaps, and delivers patient surveys.


Conversational AI is a relatively recent innovation, which means that this is new territory for most health systems. It’s important for health systems to keep pace as the technology continues to evolve and choose solutions that can act as trusted partners over time.
Leslie Lennergard
—Leslie Lennergard
MHS, FHFMA, CPH, Vice President, Center for Consumerism
The case for conversational AI
Demand frequently outstrips available resources within the healthcare sector. A 2022 Beryl Institute poll found that 76 percent of Americans had not had a positive healthcare experience during the previous three months, and 60 percent of Americans had negative experiences. And according to a report from digital health company Cedar, 28 percent of patients had changed providers during the previous year due to poor digital health experiences.
Conversational AI offers opportunities to dramatically improve low satisfaction rates and reduce negative experiences through timely and personalized patient interactions. These real-time tailored conversations can assist patients throughout their care journeys, from pre-care to follow-ups and ongoing engagement, significantly improving the patient experience. In addition, automated tasks reduce workload on care teams and help health systems scale their services more effectively.

How conversational AI can drive value

Improved patient acquisition
  • Helps patients access information on demand
  • Provides personalized recommendations and content to meet their needs
  • Rapidly scales to accommodate new patients in a cost-effective manner
Reduced cost to serve
  • Automated interactions can decrease labor costs related to patient questions and messages
  • Algorithms provide cost-effective continuous improvement
Reduced churn
  • Supports patients with personalized interactions on demand
Improved employee satisfaction
  • Automates routine tasks and relieves care team burdens
  • Delivers intelligent support for clinical interactions
Increased per-patient revenue
  • Continuously gathers information and analyzes patient preferences to refine interactions and recommendations

Key attributes of conversational AI solutions

Health systems should prioritize these capabilities when they invest in conversational AI solutions:
Contextual understanding: The solution should understand and respond to patient inputs in a manner that takes the context into account, providing relevant and accurate information or advice.
Interoperability: Conversational AI solutions should seamlessly integrate with the EHR and other existing systems, databases, and digital channels.
Data security and privacy: Solutions must protect patient privacy and comply with HIPAA and all other applicable regulations.
Naturalistic interaction: The user experience should mimic human conversation and include an easy, intuitive interface.
Scalability: The solution should be capable of handling increasing volumes of interactions as use cases expand and adoption grows.
Adaptability: A good solution should keep pace with rapidly evolving AI technology and continuously improve over time.

Organizing for success with conversational AI

What health systems should consider as they assess their needs and investigate digital documentation solutions:
  • Leadership buy-in. Leadership across the enterprise should understand the value of AI and the importance of investing in the right technology and driving a patient-focused culture.
  • Cross-functional teams: Successful incorporation of conversational AI into healthcare operations often requires a cross-functional team of IT professionals, healthcare providers, and data scientists or AI specialists (whenever possible).
  • Training and change management: As with any new technology, there will be a learning curve. Successful adoption depends on adequate training and support for staff to manage the change effectively.
  • Integration strategy: Small projects or pilots can help health systems learn, adapt, and scale, delivering valuable insights to aid with robust implementation strategies.
  • Patient engagement: At its heart, conversational AI is a tool to enhance the patient experience. Regularly gathering patient feedback and making necessary adjustments is key to ensure the technology meets their evolving needs.
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