Ambience Healthcare offers a suite of AI-driven tools designed to enhance clinical documentation and workflow. AutoScribe serves as an AI medical scribe that generates comprehensive documentation during patient visits across various specialties. Other tools include AutoCDI for real-time coding and compliance, AutoAVS for sending patients personalized after-visit summaries to reduce in-basket messages, and AutoRefer for managing specialist referrals. These solutions integrate with existing EHR systems and support multi-lingual environments and complex workflows.

SmarterDx is a clinical AI tool that performs detailed second-pass reviews of patient discharge data, analyzing chart notes, labs, medications, and vital signs, to identify missed differential diagnoses, clinical documentation, and other coding opportunities. This enables more accurate revenue capture and better patient outcomes.

Accuity is a CDI solution that combines physician-led reviews with technology to enhance the accuracy and compliance of hospital documentation. This pre-bill review system helps health systems capture more accurate diagnoses and procedures, leading to optimized reimbursements and improved clinical outcomes. Accuity's solution also includes analytics-driven tools for identifying documentation gaps, peer-to-peer education for clinicians, and management of clinical denials.

Brellium automates the medical chart review process. It audits clinical documentation and billing notes according to custom criteria, identifying discrepancies, errors, and gaps. The platform connects with EHR systems to provide real-time reporting, helps improve documentation quality, and allows for same-day billing validation. It is designed to reduce the workload on CDI teams, enhancing accuracy and efficiency in auditing thousands of charts.

Enzo Health provides an AI-powered platform designed to help home health agencies improve their documentation processes, coding accuracy, and financial performance. The system identifies opportunities for documentation improvement, optimizes ICD-10 coding, and ensures accurate OASIS comorbidity reporting. This leads to better reimbursement outcomes and enhances patient care quality by providing insights that support clinician education and operational decision-making.

Evidently CDI integrates with EHRs to improve documentation of patient care, improving data accuracy for clinical, administrative, and regulatory purposes. By ensuring that patient records are precise and up-to-date, Evidently’s CDI solution helps healthcare providers improve patient care, support compliance with industry standards, and optimize reimbursement processes.

Iodine Aware CDI enhances clinical documentation from admission through post-billing review by identifying missing elements in patient documentation based on clinical evidence, improving documentation integrity and revenue capture. The product prioritizes cases for review, increases query and response rates, spots gaps in patient documentation, reduces denials, predicts final discharge DRGs, minimizes audit risk, automates the query process, and identifies coding opportunities.

MedeAnalytics Revenue Integrity Suite is a revenue intelligence tool designed to address challenges in audit response, coding and documentation performance, and compliance risks. The tool provides analytics, reporting, and workflow management to enhance productivity, ensure appropriate reimbursements, and minimize audit risks.

Nuance CDE One is a CDI platform that leverages AI-powered capabilities to provide encounter prioritization, workflow management, and advanced analytics. The system enhances the efficiency and collaboration of CDI teams by offering real-time insights and evidence-based content. Key features include automated case-finding, proactive query management, and detailed analytics for monitoring program performance and identifying improvement opportunities.

Nuance Performance Analytics is a web-based solution designed to improve clinical and financial outcomes by providing real-time data analytics and decision support. It helps healthcare organizations monitor and analyze performance metrics, including readmissions, patient safety indicators, and physician performance, through customizable reporting and dashboards. The system integrates inpatient and outpatient outcomes to optimize major complications and comorbidities (MCC) and hierarchical condition categories (HCC) capture. It is used by quality management, clinical documentation improvement (CDI) leaders, and patient safety teams to enhance decision-making across healthcare enterprises

Optum Enterprise CAC (Computer-Assisted Coding) and CDI 3D is an integrated platform designed to enhance clinical documentation and coding accuracy through the use of NLP. The system reviews cases, identifying opportunities for documentation improvement and coding specificity, and automating workflows to reduce administrative burden. It includes modules for audit and compliance, analytics and reporting, and workflow management.

Regard is an AI-driven tool designed to assist clinicians in analyzing patient data more efficiently. It integrates with electronic medical records (EMR) to extract insights from unstructured clinical data, suggest diagnoses, and generate clinical notes. This "medical co-pilot" helps healthcare providers make informed decisions and reduces documentation time. Key functionalities include automating administrative tasks, providing diagnostic support, and enhancing clinical practice by making patient information more accessible and actionable within the EMR system.

Semantic Health offers an AI-driven platform designed for real-time medical coding, auditing, and clinical documentation improvement (CDI). It performs pre-bill audits, reviewing 100% of coded charts to detect errors and identify revenue opportunities with minimal workflow disruption. The platform integrates with major EHR systems and provides insights for various healthcare providers, including acute care and pediatric hospitals.

The 3M 360 Encompass System integrates computer-assisted coding (CAC) and CDI into a single platform. It uses NLP and AI to automatically suggest medical codes based on patient documentation, improving the accuracy and efficiency of the coding process. The system prioritizes high-risk cases for review, tracks quality metrics like Hospital Acquired Conditions (HACs), and supports real-time clinical intelligence reporting. It aims to enhance compliance, optimize reimbursement, and facilitate better patient care by providing comprehensive tools for coders and CDI specialists.

CDI Engage One by 3M CDI that uses AI to provide real-time clinical insights to physicians and CDI teams. It integrates into both front-end and back-end workflows, analyzing EHR notes and narrative documents to identify gaps in patient care and documentation. This helps clinicians document a complete and compliant patient story before saving notes in the EHR, thus reducing the need for retrospective queries. It also supports back-end workflows with evidence-based analysis, worklist prioritization, and a clinically driven review process.

Solventum Revenue Integrity is designed to manage and prevent claim denials by analyzing clinical, coding, and payment data. Utilizing machine learning models, it predicts potential denials and provides real-time insights and recommendations throughout the patient journey. The system enhances reporting by linking clinical activities to payment outcomes and integrates workflow with denial risk alerts, guiding revenue cycle staff for timely interventions to prevent denials.