Petal Scheduling & Clinical Capacity
Petal’s platform is an innovative cloud-based scheduling software solution designed for physicians and healthcare professionals in both clinics, hospitals or acute-care facilities. Physicians can organize and stay in control of their schedules while improving team communication through shift exchanges, absence requests and shift visibility.
Combined with Petal's Clinical Capacity Management, it's medical staff scheduling and on-call physician management for the modern hospital. The Clinical Capacity Management console centralizes schedules for all medical services of a hospital in a single dashboard. The solution provides real-time insight of care coverage and analytical reports, facilitating resource management. It improves the performance of health facilities and streamlines access to care by increasing the efficiency of operations for hospital staff. These SaaS solutions can be tailored to fit departments, clinics, hospitals and a whole network of hospitals.
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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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OpenEvidence
OpenEvidence is an AI-powered clinical decision support platform designed for verified health care professionals, which aggregates, synthesizes, and visualizes peer-reviewed medical evidence to answer point-of-care questions rapidly and reliably. The system covers over 160 specialties and more than 1,000 diseases or therapeutic areas, presenting results grounded in high-quality sources such as JAMA, NEJM, and clinical guidelines. It supports a deep, intuitive search interface that returns evidence-based answers in 5–10 seconds, always with citations, and ensures transparency by surfacing the references behind each answer. In addition to search, OpenEvidence includes features like “Visits,” a module that transcribes patient encounters, enriches documentation with clinical intelligence, drafts notes, and integrates assessment and plan guidance into clinician workflows.
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DeepScribe
DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking.
Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system.
Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit.
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