Gosta Labs provides an AI operating system for healthcare professionals that automates clinical documentation, structures patient data, and delivers real‑time decision‑support alerts. By integrating with existing EMR platforms, the system generates encounter notes, extracts relevant information, and offers evidence‑based insights, reducing administrative burden and improving documentation quality for hospitals, health systems, and outpatient clinics.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CGFounders
Product
Problem
Healthcare professionals spend a large portion of their time on administrative tasks such as documentation and data entry, which reduces the time available for direct patient care and can lead to incomplete or inconsistent clinical records.
Solution
Gosta Labs offers an AI operating system designed to automate clinical documentation, structure patient information, and provide real-time decision support. The platform generates encounter notes automatically, extracts and organizes relevant data from interactions, and surfaces actionable insights aligned with clinical standards. By integrating with existing electronic medical record (EMR) systems through a dedicated integration engine, Gosta enables seamless workflow continuity while reducing manual entry. The system leverages proprietary, task‑specific language models built on high‑performance computing resources to ensure accuracy and reliability in complex care settings. As a result, clinicians can focus more on patient interaction, improve documentation quality, and experience lower administrative burden.
Target Audience
Primary customers are hospitals, health systems, and outpatient clinics seeking to streamline clinician workflows and improve documentation quality for physicians, nurses, and allied health professionals.
Features
- Automated note generation that captures key clinical details during appointments
- Real-time extraction and structuring of patient data to create a unified clinical context
- Decision‑support alerts and insights aligned with evidence‑based guidelines
- Proprietary task‑specific language models powered by a high‑performance supercomputer
- Integration engine for seamless connection with major EMR platforms and workflow tools
- Analytics dashboard that tracks documentation time savings and workflow efficiency