Clinical charts and test results written in varying formats across hospital departments are the biggest barrier to effective data utilization. Upstage Studio accurately extracts key medical data from handwritten charts, voice records, and other diverse sources, converting them into a structured database. This transforms fragmented medical information into a valuable digital asset ready for immediate use in care and research.

Reviewing hundreds of pages of patient history per person increases clinician fatigue and reduces care quality. Upstage's healthcare-specialized LLM analyzes patient histories and medication records to auto-generate clinical summary reports and draft physician notes. Clinicians redirect time saved from documentation toward direct patient care and treatment planning.

Protecting sensitive patient data while enabling seamless data exchange across systems is foundational to healthcare AI adoption. Upstage normalizes extracted data to the international FHIR schema, enabling instant integration with Hospital Information Systems (HIS). A built-in de-identification engine activates at the point of data creation, blocking security risks from the start.