Clarafi
Clarafi is an AI-native Electronic Health Record (EHR) and medical scribe platform that transforms clinical documentation and chart management by leveraging advanced artificial intelligence to read handwriting, interpret clinical content, and automatically generate structured patient notes, such as SOAP (Subjective, Objective, Assessment, Plan), in as little as 90 seconds, significantly reducing manual charting work and administrative burden. It captures and organizes problem lists, complete medication histories, review of systems, and other clinical data from existing documentation or clinician input, creating a coherent, EHR-ready medical record that supports e-prescribing, coding, and clinical workflows without extensive typing or manual formatting. Clarafi’s AI automates repetitive tasks, accelerates chart completion, and helps clinicians spend more time with patients rather than on paperwork, and it integrates seamlessly into practice workflows.
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Clinithink
Clinithink is a leading healthcare technology company specializing in artificial intelligence solutions that transform unstructured medical data into actionable insights. Our patented CLiX platform utilizes Clinical Natural Language Processing (CNLP) to interpret complex clinical narratives, enabling healthcare organizations to enhance patient care and operational efficiency. Clinithink offers tailored solutions across life sciences, revenue cycle management, and population health, addressing challenges such as patient cohort identification, reimbursement optimization, and disease progression tracking. Clinithink's innovative technology has garnered trust from leading pharmaceutical and healthcare organizations worldwide, positioning it at the forefront of healthcare AI and digital health advancements. CLiX is capable of understanding a vast quantity of unique and detailed clinical concepts such as; certainty, severity, laterality, and temporality.
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BEKhealth
BEKhealth offers an AI-powered clinical research platform centered on its BEKplatform, a unified system that extracts, interprets, and standardizes structured and unstructured electronic medical record data, including labs, diagnoses, physician notes, pathology reports, and PDFs, into a searchable, longitudinal patient graph to help life sciences and healthcare organizations rapidly identify protocol-eligible patients and optimize trial feasibility, site selection, and recruitment workflows. It employs deep learning and natural language processing to transform disorganized clinical data into actionable insights with high accuracy, generating robust queries and patient cohorts that reveal more qualified candidates than traditional manual chart review and support feasibility analyses with real-time reports and dashboards that inform decisions across research networks.
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Suki
Suki is an ambient clinical intelligence platform that helps clinicians reduce administrative work and focus more fully on patient care. It captures patient conversations and turns them into high-quality clinical notes, patient instructions, orders, and other documentation outputs. The platform goes beyond basic transcription by supporting voice-enabled editing, problem-based charting, clinical reasoning, Q&A, and assisted revenue cycle workflows. Suki works across desktop and mobile devices, supports iOS and Android, and is designed for more than 100 medical specialties. It integrates with major EHR systems, including Epic, Oracle Health, athenahealth, and MEDITECH, as well as healthtech partners across telehealth and care management. With SOC 2 Type 2 certification, HIPAA compliance, and enterprise-grade scalability, Suki gives healthcare organizations an AI assistant for documentation, workflow support, and more focused clinical care.
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