AI Products
The
AI Products
category encompasses a wide range of AI-powered solutions designed to enhance clinical care, operational efficiency, and patient engagement across healthcare.
AI Clinician Assistant
tools streamline provider workflows by automating tasks like documentation, clinical summarization, and decision support at the point of care.
AI Facility Management
ensures hospitals and healthcare environments run smoothly, leveraging predictive maintenance, energy management, and resource optimization.
AI Remote Patient Monitoring and Triage
enables continuous patient monitoring outside of traditional care settings, identifying early signs of deterioration and facilitating timely interventions.
AI-Enabled Services
provide advanced automation and decision-making support across healthcare operations, improving care delivery and financial outcomes.
AI Patient Companions
enhance patient engagement through virtual assistants that offer reminders, emotional support, and medication guidance.
AI Imaging
improves diagnostic accuracy through image analysis and enhancement, while
AI RCM
automates financial processes like billing, coding, and denials management.
AI Contact Center
solutions streamline communication with patients and payers through chatbots, automated calls, and virtual assistants, optimizing engagement and support. Together, these AI-powered products help healthcare organizations deliver better care, improve operations, and enhance the patient experience.
The
AI Clinician Assistant
category includes a range of AI-powered tools designed to enhance clinician workflows, improve decision-making, and reduce administrative burdens.
AI Ambient Scribes
capture conversations between clinicians and patients, automatically generating clinical notes to reduce documentation time.
AI Clinical Summaries
extract and condense relevant information from patient records, supporting efficient pre-charting, shift handoffs, and discharge planning.
AI Inbox Management
automates the triage and processing of clinical messages, streamlining communication and reducing clinician workload.
Smart EHR UI
solutions optimize the electronic health record interface, making it more intuitive and responsive to clinician needs, improving usability and workflow efficiency.
Point of Care Clinical Decision Support
provides real-time, evidence-based insights to assist clinicians in making treatment decisions during patient encounters.
Clinical Pathways and Reference
tools offer structured guidance based on clinical protocols, helping providers navigate care options and align with best practices.
AI Surgical Clinical Decision Support
enhances surgical procedures by analyzing real-time data and providing actionable insights, improving surgical outcomes and patient safety. Together, these tools empower clinicians with AI-driven support, enabling them to focus more on patient care and less on administrative tasks.
Sub-Categories
The
AI Contact Center
category focuses on leveraging artificial intelligence to enhance communication, support, and operational efficiency within healthcare contact centers.
Patient-Facing AI Phone Calls
automate outreach and follow-ups, handling appointment reminders, prescription refills, and patient inquiries to improve engagement and satisfaction.
Payer-Facing AI Phone Calls
streamline communications between providers and payers by automating prior authorization requests, claims status inquiries, and issue resolution.
AI Conversational Chat
provides real-time support through chatbots, assisting patients or staff with frequently asked questions and routine tasks.
AI Contact Center Agent Assistants
enhance agent productivity by offering real-time suggestions, knowledge retrieval, and automated documentation during calls.
AI Contact Center Intelligence
solutions analyze interactions to uncover insights, optimize workflows, and improve service delivery through predictive analytics. These tools collectively reduce operational costs, enhance the customer experience, and improve the efficiency of healthcare contact centers by automating repetitive tasks and supporting informed decision-making.
Sub-Categories
AI Facility Management vendors are companies that provide AI-enabled hospital and facility IT. Their technology generally encompasses sensors to capture and process voice and video data and involves integration with various systems or devices within a facility setting. Use cases can vary considerably but include:
- Voice assistant for patients and nurses in hospital rooms
- OR tech to monitor and analyze surgeries
- Patient and staff tracking as they move throughout facility spaces
Note this category specifically captures tech geared to clinical facilities, NOT the home, though there may be overlap in the underlying tech enabling it.
Sub-Categories
The
AI Imaging
category focuses on leveraging artificial intelligence to enhance the accuracy, efficiency, and utility of medical imaging in healthcare.
AI Imaging Clinical Decision Support
tools assist radiologists and clinicians by analyzing imaging data to detect abnormalities, recommend follow-up actions, and support diagnostic decisions, reducing errors and improving patient outcomes. These solutions often integrate directly with imaging systems, providing real-time insights to help prioritize cases and streamline clinical workflows.
AI Imaging Enhancement
technologies improve the quality of medical images through techniques such as noise reduction, resolution enhancement, and image reconstruction. These tools ensure clearer, more precise visuals, aiding in diagnosis while reducing the duration of imaging scans and the need for repeat imaging. Together, AI Imaging solutions not only enhance diagnostic accuracy but also optimize operational efficiency, supporting radiologists and care teams in delivering timely, high-quality care.
Companion AI refers to autonomous bots that are using advancements in NLP, gen AI and machine learning to provide companionship via chat and sometimes voice. Increasingly, companies in this category are focused on demonstrating clinical validation of their services and moving to models of evidence-based practice.
The
AI RCM (Revenue Cycle Management)
category focuses on using artificial intelligence to streamline financial and administrative processes in healthcare. These tools optimize critical aspects of the revenue cycle, reducing manual workloads, improving accuracy, and accelerating cash flow.
AI Medical Coding
solutions ensure the accurate assignment of billing codes, minimizing errors and enhancing compliance.
AI Prior Authorization for Payers
and
AI Prior Authorization for Providers
automate the approval process, reducing delays in care and administrative burdens.
AI Clinical Documentation Integrity (CDI)
ensures that documentation accurately reflects patient care, improving coding precision and supporting reimbursement.
AI Denials Management
identifies, tracks, and resolves claim denials, helping healthcare organizations recover revenue efficiently.
Revenue Cycle Automation
leverages AI to automate repetitive tasks across the RCM workflow, enhancing productivity and reducing bottlenecks. Finally,
AI Patient Billing
solutions improve the patient financial experience with automated payment plans, reminders, and personalized payment options, fostering better patient engagement and reducing bad debt. Together, these AI-driven solutions transform revenue cycle operations, enabling healthcare organizations to operate more efficiently and focus more on patient care.
Sub-Categories
AI Remote Patient Monitoring (RPM) solutions are complementing traditional RPM devices and virtual clinical support with more advanced AI technology. This includes both integrating AI directly into RPM devices, such as obtaining Software as a Medical Device (SaMD) designation for autonomous diagnostic capabilities, as well as sensor-based analytics that use AI to predict adverse events and recommend clinical intervention.