Best Healthcare AI Software of 2026 - Page 9

Droidal transforms healthcare revenue cycle management (RCM) through intelligent AI agents that automate administrative tasks, reduce errors, and drive faster reimbursements. Built for hospitals, physician groups, hospices, dental networks, and ambulatory care centers, it simplifies billing and claims processes end-to-end. The platform’s AI mimics human users, ensuring accuracy and compliance while scaling to handle millions of transactions per month. Healthcare organizations using Droidal report up to 40% automation of operational processes, 50% cost savings, and 25% increases in net patient revenue. Its agentic design eliminates repetitive work, shortens payment cycles, and delivers a 30–250% annual ROI. Unlike traditional RCM vendors, Droidal works within your existing infrastructure — no system overhauls required. With built-in human fail-safes and real-time exception management, it ensures every claim and transaction meets compliance standards. Backed by advanced security and transparent documentation, Droidal gives healthcare providers a faster, smarter, and more reliable way to manage their financial operations.

Anomaly is an innovative AI-driven platform designed for payer management that empowers healthcare revenue teams to understand their payers as thoroughly as those payers understand them. By revealing hidden behaviors of payers through the analysis of intricate rules and payment trends across millions of healthcare interactions, it enhances operational efficiency. Central to this platform is its Smart Response engine, which perpetually scrutinizes payer logic, adjusts to evolving policies, and integrates its insights into current revenue cycle processes, enabling real-time predictions of denials, support in claims adjustments, and alerts regarding potential revenue threats. Users gain the ability to foresee revenue shortfalls, negotiate more effectively with payers, and proactively address or overturn denials, thereby safeguarding cash flow. This advanced system effectively bridges the gap between providers and payers, transforming complex billing frameworks into practical intelligence that informs daily financial management while also fostering an environment of enhanced strategic decision-making for revenue teams. By empowering users with this level of insight, Anomaly not only improves operational outcomes but also contributes to a more equitable balance in the healthcare financial landscape.

CallSara provides AI-driven voice agents capable of managing both incoming and outgoing calls, streamlining data entry, and facilitating healthcare processes around the clock. This system is proficient in managing appointment bookings, changes, and cancellations, as well as collecting payments with automated reminders, engaging patients before and after surgery, reaching out for chronic care, addressing care gaps, and managing communications during transitions of care. It seamlessly integrates with various electronic health record systems and IVR platforms, including AthenaHealth, eClinicalWorks, Allscripts, and RingCentral, and can be implemented in approximately 30 days using ready-to-use templates. The voice agents are equipped to operate in over 20 languages and accents, escalate intricate calls to human staff when necessary, and produce transcripts and logs for later analysis. CallSara aims to optimize staff efficiency by claiming a reduction of at least two hours of work per day for each employee, decreasing no-show rates to under 5%, managing up to 75% of incoming calls, and recapturing lost revenue through effective follow-up strategies. Furthermore, the implementation of CallSara not only enhances patient satisfaction but also contributes to improved overall healthcare outcomes.

Zyter Symphony is an advanced platform for agent orchestration that empowers businesses to transform outdated workflows with agility, accuracy, and adaptability. By employing a modular, multi-agent AI framework, it effectively minimizes what is referred to as “process debt,” thereby releasing hidden business potential across various areas including clinical, administrative, and operational sectors. The platform seamlessly integrates with any existing digital core process system and accommodates a variety of agents such as system integration agents, workflow agents, voice agents, coding agents, and knowledge/data interoperability agents that work in harmony across data, personnel, and systems. Additionally, it features comprehensive omnichannel collaboration options, including chat, voice, SMS, and video, while ensuring enterprise-level security through AES 256-bit encryption and HIPAA compliance. Furthermore, with a focus on outcome-driven implementation that leads to cost savings, enhanced engagement, superior quality, and quicker decision-making, Symphony is tailored to automate entire workflows rather than merely handling individual tasks. This comprehensive approach allows businesses to increase operational efficiency and achieve more streamlined processes overall.

Pearl's innovative platform, powered by artificial intelligence, empowers healthcare teams to cut unnecessary expenses, enhance patient outcomes, and thrive in value-based care by pinpointing priority patients and encouraging timely interventions while seamlessly fitting within existing workflows without causing disruption. This technology merges predictive analytics with effective action; it emphasizes significant outreach and automates subsequent steps, evaluates provider readiness and cohort risk to align participants with suitable payment models, and links intelligence to action to foster measurable advancements in clinical, financial, and operational performance. Moreover, it integrates flawlessly into provider systems, enabling teams to deliver high-quality care on a large scale. The platform's advanced data-science and actuarial capabilities maximize savings, improve benchmarks, and support various models like ACO REACH, MSSP, and Medicare Advantage, all while equipping physicians with user-friendly tools that streamline care delivery, alleviate them from mundane tasks, and enhance management of patient panels. Ultimately, Pearl's solution stands out in the healthcare landscape by prioritizing efficiency and effectiveness in care delivery, ensuring that both providers and patients benefit from its comprehensive features.

Brellium is an advanced clinical compliance platform driven by AI that conducts audits on clinical documentation, billing, and payor risk for each patient visit. Its main features consist of real-time chart reviews powered by machine learning, which meticulously analyze every note, session, and encounter to ensure adherence to coding standards (MDM/E/M/ICD-10), clinical quality benchmarks, payor regulations, and the integrity of documentation, achieving audits up to 13 times quicker and slashing chart-review expenses by nearly 98%. The platform seamlessly integrates with any electronic medical record (EMR) system, accommodates both custom and standard audit criteria, and automatically dispatches feedback emails to providers while offering trend-data dashboards that rank clinicians according to the quality of their documentation. Additionally, Brellium provides a distinctive clawback-protection guarantee: in the event that a payor withdraws reimbursement for a chart approved by Brellium, the company will cover the associated costs. The platform is tailored to serve various specialties, including behavioral health, applied behavior analysis (ABA), home health care, chronic-care management, and telehealth services. With its comprehensive features and protective measures, Brellium stands out as a crucial tool for ensuring compliance and efficiency in clinical settings.

InQuery revolutionizes medical and legal document review by using artificial intelligence to streamline and accelerate case preparation. The platform automates record sorting, tagging, and summarization for insurance carriers, law firms, IME providers, and record retrieval specialists. It classifies every file by date, provider, and type while extracting key data points like ICD codes, treatment timelines, and medications. AI-generated summaries transform hundreds of pages of notes into concise, searchable insights ready for export. Teams report up to 70% time savings, faster case turnaround, and fewer revision cycles. Built-in compliance checks flag missing records and regulatory risks, ensuring accuracy and reducing liability exposure. With HIPAA and SOC 2 compliance at its core, InQuery provides enterprise-grade security alongside cutting-edge automation. The result: a more efficient, accurate, and scalable approach to medical-legal review.

iMedX, Inc. delivers solutions for clinical documentation and revenue cycle management, enabling healthcare professionals to prioritize patient care over administrative tasks. Their platform incorporates both AI-driven and standard medical coding, clinical documentation support, core measures abstraction, and streamlined revenue cycle workflows. Notably, their AI medical coding feature, which is part of the 'RCM Companion Suite,' leverages sophisticated machine learning techniques to enhance precision, minimize claim denials, and speed up payment processes by automating case routing, pre-filling codes, providing real-time guidance for coders, and identifying documentation deficiencies prior to claim submission. Users benefit from capabilities such as smart case assignment to the appropriate coder, self-sufficient handling of standard cases, real-time assistance via an AI tool, and integrated auditing functions that detect potential missed reimbursements, documentation mistakes, and compliance issues. By utilizing these advanced tools, healthcare providers can significantly reduce administrative overload and enhance their operational efficiency.

The Turquoise Health Enterprise platform offers a wide-ranging array of solutions centered on healthcare price transparency and the management of contracting processes, featuring modules like Clear Rates Data, which compiles an extensive dataset of over a trillion records related to providers, payers, professionals, drugs, and devices for both institutional and professional services. In addition, it incorporates Clear Contracts, a cloud-based application designed to facilitate the creation, negotiation, and storage of contracts for both payers and providers. This platform also provides Compliance+ to aid organizations in adhering to the requirements for machine-readable files and Good Faith Estimate regulations, along with Analytics tools that allow users to benchmark and investigate market-level rate data. Furthermore, it offers Custom Rates extracts specifically designed for niche healthcare segments, Standard Service Packages comprising pre-assembled bundles of frequently performed procedures, and Search and Care Search dashboards that assist in the discovery and comparison of rates. Additionally, the Turquoise Verified program empowers both providers and payers to efficiently publish and manage their price transparency information, ensuring that all stakeholders benefit from accessible and reliable pricing data.

Charta Health provides an advanced platform driven by AI that streamlines the process of chart reviews by systematically examining all medical charts—whether pre-bill, pre-visit, or post-bill—to identify lost revenue potential, guarantee coding precision, and fulfill payer compliance requirements. Its innovative AI technology thoroughly assesses every patient chart to highlight issues such as under-coding, overlooked billable services, coding mistakes, and gaps in documentation, complete with evidence-based rationales and comprehensive dashboards for effective auditing and monitoring. To enhance revenue integrity, the platform has the potential to boost RVUs per patient by as much as 15.2% and achieve an average revenue increase of 11%, all while offering complete audit coverage at a minimal cost compared to standard audit processes. In addition, it improves clinical-quality workflows by ensuring documentation meets benchmarks like HEDIS/STARS, seamlessly connecting with clinical-decision support systems, and creating feedback loops for providers, ultimately leading to better patient outcomes and enhanced reimbursement linked to quality metrics. This comprehensive approach not only maximizes revenue but also elevates the standard of care provided to patients.

Panalgo’s Instant Health Data platform is an all-encompassing software suite for healthcare analytics designed to simplify programming complexities and expedite the analysis of real-world data across various sectors, including life sciences, pharmaceuticals, payers, providers, government, and academia. This platform assimilates a wide range of health data sources—such as claims, electronic health records, registry information, and other real-world datasets—and transforms them into a cohesive, analysis-ready format using a healthcare-specific data model alongside a rich library of algorithms. This enables fast, scalable, and clear analytics without the conventional barriers of coding. Users can benefit from point-and-click analytics, personalized dashboards, statistical assessments, machine learning predictions, automated documentation, and collaborative reporting, empowering stakeholders to efficiently investigate, interpret, and disseminate insights. Additionally, integrated features like Ella AI offer natural-language, generative-AI support that assists in cohort building, insight generation, and decision-making processes, further enhancing the platform's utility for its users. As a result, Panalgo’s IHD not only streamlines analytics but also fosters a collaborative environment for various healthcare stakeholders.

Latent Health is an innovative medication access platform powered by artificial intelligence, designed to enhance and expedite the administrative tasks that often hinder patient access to crucial specialty and life-saving therapies, particularly in the areas of prior authorizations, appeals, and 340B eligibility processes. Its advanced clinical-AI technology analyzes and interprets electronic health records alongside external resources, including clinical guidelines and research literature, to extract pertinent patient information, respond to specific authorization inquiries, assess medical benefit criteria, and even generate appeal letters, thereby significantly reducing review and turnaround times from several hours or days to mere minutes while enhancing accuracy and compliance. The platform seamlessly integrates with leading electronic health record (EHR) systems, adhering to healthcare standards such as SMART on FHIR, and it also supports centralized pharmacy operations. Additionally, it offers workflow orchestration capabilities that alleviate administrative challenges, boost operational efficiency, and enable clinical staff to devote more time to direct patient care, ultimately leading to improved health outcomes and patient satisfaction. By streamlining these essential processes, Latent Health is poised to transform the way healthcare providers manage medication access.

OnPoint Healthcare Partners provides a cutting-edge, AI-driven autonomous practice management platform alongside various healthcare technology solutions designed to enhance clinical documentation, coding accuracy, care coordination, revenue cycle management, and administrative processes, thereby allowing healthcare providers and their teams to concentrate more effectively on patient care. Central to this innovative offering is the Iris Medical Agent AI Platform, a cloud-based solution that leverages agentic and generative AI under clinical supervision to perform tasks throughout the entire care continuum, which includes features like AI-boosted charting, precise coding compliance, longitudinal patient management for HCC risk adjustment, care gap closure initiatives, and real-time support for care coordination and referral/prior authorization, all while being seamlessly integrated with current EHR systems to minimize disruptions and decrease manual labor. Additionally, OnPoint’s Practice Management as a Service model merges these autonomous AI workflows with operational know-how to alleviate staffing challenges, cut costs, and streamline healthcare operations. This comprehensive approach not only enhances efficiency but also empowers providers to deliver higher-quality care to their patients.

DigitalOwl is an innovative platform that leverages artificial intelligence to analyze and review medical data, converting intricate, unstructured medical records into organized, searchable, and actionable insights for professionals in the fields of insurance, legal, and claims, which significantly minimizes the time needed for manual reviews while enhancing the precision of decisions made. This comprehensive platform harnesses cutting-edge generative AI, natural language processing, and an extensive medical knowledge base to automate critical functions, including de-duplication, data extraction, timeline generation, summarization, and integrated workflows that facilitate risk assessments, underwriting, claims examination, and legal case management, all accessible from a unified interface. Among its standout features are the View function, which provides 360° summaries of medical histories by emphasizing essential information while filtering out irrelevant details, the Chat feature that enables users to interactively explore extensive data sets through conversational AI, the Connect APIs that ensure seamless integration and normalization of medical data within existing systems, and Workflows that bring automation to decision-making processes while maintaining full transparency and traceability of evidence. By streamlining these processes, DigitalOwl not only enhances efficiency but also empowers professionals to make informed decisions with greater confidence and speed.

CluePoints offers a cloud-based platform that utilizes AI for risk-based quality management and oversight of clinical data, employing sophisticated techniques like machine learning and deep learning to enhance the reliability, precision, and safety of data and processes in clinical trials. This platform stands out with its capability for real-time anomaly detection and centralized statistical monitoring, effectively spotting outliers and data risks that conventional methods may overlook, thereby empowering teams to proactively address risks and expedite the resolution of issues while adhering to FDA, EMA, and ICH standards. Additionally, CluePoints features tailored solutions including Risk-Based Quality Management (RBQM) for timely risk identification, Medical & Safety Review (MSR) for efficient review and query management, Intelligent Medical Coding for automated clinical coding suggestions, and Intelligent Query Detection (IQD) to facilitate the detection of discrepancies, along with tools like the Site Profile & Oversight Tool (SPOT) designed for dynamic site monitoring to ensure optimal oversight throughout the trial process. These advanced features collectively contribute to improving the overall efficiency and effectiveness of clinical trials.

ChatGPT Health is a purpose-built health and wellness experience within ChatGPT that helps users better navigate their personal health information. It securely combines connected medical records, wellness apps, and AI intelligence to deliver more relevant and meaningful responses. The experience is designed to help users prepare for medical appointments and better understand their health data. ChatGPT Health supports everyday health questions rather than diagnosis or treatment. Enhanced privacy and security controls ensure sensitive health information stays protected. Health conversations are isolated from other chats to maintain confidentiality. Users can connect apps such as Apple Health and fitness or nutrition tools with full control over access. Physician collaboration helps ensure responses are clear, balanced, and safety-focused. AI-powered insights highlight trends and patterns over time. The result is a more confident and informed approach to managing personal health.

Arya Health is an innovative platform that utilizes artificial intelligence to automate healthcare workforce management, creating "digital agents" that replicate the functions of high-level administrative personnel and streamline routine tasks throughout the clinical workforce lifecycle, thereby enabling providers to lessen manual labor and enhance operational efficiency. These ever-present digital agents take care of critical activities such as scheduling for caregivers and clinicians, managing staffing capacity, facilitating onboarding and recruitment processes, handling complex payroll with varied payment rules, and tracking compliance by automatically monitoring and updating licenses and certifications, all aimed at liberating front-office teams from monotonous tasks while allowing agencies to grow with reduced strain. Furthermore, the platform seamlessly integrates with current electronic medical records, serving as the foundational source of truth, works continuously to fill shifts, communicate with caregivers, and manage exceptional cases, while also offering quick implementation through customizable automations that yield tangible results in a matter of weeks. By minimizing manual interventions, Arya Health not only improves efficiency but also empowers healthcare providers to focus on delivering quality patient care.

BEKhealth provides an innovative clinical research platform, known as the BEKplatform, which leverages artificial intelligence to streamline the extraction, interpretation, and standardization of both structured and unstructured electronic medical record data, encompassing various elements such as lab results, diagnoses, physician notes, pathology reports, and PDFs. This integrated system creates a searchable, longitudinal patient graph designed to assist life sciences and healthcare organizations in swiftly pinpointing protocol-eligible patients while enhancing trial feasibility, site selection, and recruitment processes. By utilizing advanced deep learning techniques and natural language processing, BEKhealth transforms chaotic clinical data into precise, actionable insights, allowing for the generation of sophisticated queries and patient cohorts. This method not only identifies more qualified candidates compared to traditional manual chart reviews but also provides real-time reports and dashboards that facilitate informed decision-making across research networks, ultimately improving the efficiency and effectiveness of clinical trials. The ability to generate these insights in real-time is a game-changer for organizations striving to maximize their research potential.

Credo Health is an innovative SaaS platform fueled by artificial intelligence, designed to propel the future of value-based healthcare. It empowers physicians, MSOs, ACOs, and health plans to effectively diagnose, document, and treat each patient through a wealth of clinical intelligence. By consolidating disparate patient data, Credo’s platform generates nearly complete longitudinal records seamlessly integrated into existing EHR workflows. Its AI-driven tools facilitate the acquisition of medical records, enhance data analysis, boost patient engagement, and optimize performance. Clinicians receive actionable insights right at the point of care, alleviating additional administrative burdens. Meanwhile, administrators gain access to real-time analytics that enhance risk adjustment precision and quality performance. Ultimately, Credo Health equips healthcare organizations with the means to cut costs, elevate patient outcomes, and function more efficiently within value-based care frameworks, paving the way for a transformative shift in the healthcare landscape. This comprehensive approach not only supports immediate clinical needs but also fosters long-term improvements in healthcare delivery.

Impiricus has developed a range of AI-driven tools designed to enhance engagement with healthcare professionals who often lack access to vital resources, thereby improving patient care through personalized, context-sensitive interactions that surpass conventional methods. Central to this offering is the Intelligently Optimized Network (ION), a sophisticated AI engine that underpins all of their products, ensuring that communications reach the appropriate healthcare professional precisely when needed. The Pulse feature provides tailored, value-rich content to the extensive SMS-opt-in network of healthcare professionals, utilizing customized messaging, trackable links, and detailed NPI-level reporting to foster high levels of engagement and reliable returns on investment. Additionally, Spark leverages real-world clinical and marketing indicators—such as new prescriptions, lab results, email interactions, and website visits—to create timely and relevant communications aimed at enhancing education, delivering competitive insights, and improving patient outcomes. By utilizing these innovative tools, Impiricus aims to transform how healthcare professionals connect with critical information in a meaningful way.

Polyfins Technology Inc is a startup based in Silicon Valley that leverages cutting-edge technologies, including Artificial Intelligence, to address challenges in Dermatology. By merging mobile accessibility with the capabilities of AI, the company aims to create user-friendly solutions for both patients and healthcare professionals. This initiative seeks to enhance the availability and precision of patient care in both affluent and less affluent nations, utilizing natural language processing to foster groundbreaking healthcare advancements in dermatology. Their AI-driven applications, Eczemaless and Tibot, empower users to obtain reliable skincare information from the comfort of their homes. EczemaLess specifically caters to individuals suffering from Eczema, offering a comprehensive solution that encompasses tracking the severity of their condition, managing potential triggers, and crafting tailored care routines. Users can identify the factors that may be exacerbating their eczema, assess the effectiveness of various treatments, and gain insights into trends related to triggers, eczema severity, and their personalized care strategies for optimal health management. This innovative approach not only addresses immediate concerns but also aims to foster long-term well-being for users.

XOresearch has developed an innovative Artificial Intelligence solution for the automatic annotation and analysis of electrocardiograms. This comprehensive tool serves three primary functions: it enhances clinical diagnosis productivity, facilitates remote patient monitoring, and offers readily available software for digital health devices and applications. CardioAI® stands out as a sophisticated productivity enhancer that speeds up the analysis of electrocardiograms, proving particularly beneficial in scenarios requiring continuous or extended cardiac monitoring. Its deployment significantly improves health surveillance capabilities, especially in remote, challenging, or hazardous environments. The system's ability to deliver accurate near real-time processing enables unparalleled medical assistance. Furthermore, CardioAI® can seamlessly integrate into electronic health record (EHR) systems or operate as part of mobile health devices. This commercially available software is versatile enough to be customized to meet various business needs. Additionally, CardioAI® guarantees precise and comprehensive annotation of stress, rest, and Holter electrocardiograms, adhering strictly to the HL7® aECG standard, which ensures consistency and reliability in data interpretation. Its adaptability and efficiency make it an invaluable asset in modern healthcare practices.

Corti is of the opinion that technology enhances human capabilities, and it is a crucial duty to develop such innovations that allow the healthcare industry to achieve more with fewer resources. Audia was created to assist medical professionals in enhancing patient care and optimizing performance within healthcare organizations. By incorporating Audia into your healthcare framework, you can begin documenting your medical consultations and benefit from ongoing enhancements. Regardless of the video platform you currently use, Audia can seamlessly integrate with your existing systems to initiate the recording of medical consultations. Additionally, Audia is capable of leveraging written data by examining and enhancing any textual interactions, including chatbot integrations. Begin uploading your consultations to Audia now to gain valuable insights that can lead to improved triage processes, enhanced internal performance, and a deeper understanding of health trends, ultimately transforming how care is delivered. Embrace the power of technology in healthcare and witness the positive impact it can have on patient outcomes.

EVIDENS is an advanced AI platform that facilitates the discovery of digital cohorts, enhances research capabilities, promotes collaboration, and enables the sharing of insights across extensive hospital data sets. With the ability to swiftly annotate and convert your data into AI-compatible formats, users can efficiently filter populations by various clinical outcomes or demographic factors. The platform allows for limitless keyword filtering by training AI models to perform targeted searches. Furthermore, users can explore and establish criteria for cohort identification with the support of intelligent AI tools. Training AI models to automate the analysis process and categorize data into distinct groups can be done quickly and efficiently. The platform outputs AI-ready cohorts to facilitate the testing of clinical hypotheses in research studies. Users can effortlessly monitor the status and tasks related to all their projects and collaborators, while also being able to observe and engage with activities aligned with their research interests. Additionally, collaborative tools are provided to enable simultaneous efforts in creating, training, and validating AI models, fostering a productive research environment. Ultimately, EVIDENS streamlines the entire research process, making it more efficient and effective for all involved.

We combine clinical and experimental data through machine learning techniques to explore human disease biology and promote the development of precision medicine. Our innovative Contingent AI™ technology comprehends the intricate relationships present in the data, yielding advanced insights. To combat data bias, we refine our machine learning models based on decisions made during the pre-processing and feature engineering phases. We utilize zebrafish, cellular, and various phenotypic animal models to test and confirm in silico predictions through in vivo experiments, along with genetic modifications conducted both in vitro and in vivo to enhance translation. By employing active learning and computer vision on validated models that focus on cardiac, central nervous system, and rare disorders, we swiftly integrate new data into our machine learning frameworks, allowing for continuous improvement and adaptation in our methodologies. This iterative process not only enhances the accuracy of our predictions but also enables us to stay at the forefront of research in precision medicine.