BT Clinical Computing provides a specialized software suite that transforms unstructured medical text into structured SNOMED CT terminology using Natural Language Processing. Their core product facilitates clinical data intelligence, decision support, and accurate medical coding for improved continuity of care. The platform manages terminology mapping and supports standardized medical exchange formats like HL7 C-CDA.
Funding
Funding not disclosed
Founders
Product
Problem
A large portion of clinical documentation exists as free‑text, making it difficult to extract consistent, coded information for patient summaries, medication reconciliation, decision support, and interoperability with standards such as HL7 C‑CDA or Sumehr. This unstructured data hampers clinical workflow efficiency, quality reporting, and secondary uses like clinical trial data mining.
Solution
BT Clinical Computing delivers a specialized software suite that applies natural‑language processing to convert unstructured medical narratives into structured SNOMED CT concepts. The platform generates an Intelligent Patient Summary that consolidates diagnoses, problems, allergies, and medication lists in a machine‑readable format. Integrated terminology management allows mapping of SNOMED CT to local codes and ICD‑10, supporting transparent medical coding and billing. A rule‑based SNOMED‑XML engine enables export of coded documents that comply with exchange standards such as Sumehr and HL7 C‑CDA. The solution is accessed through a web‑based, smartphone‑like interface that offers real‑time term autocompletion and a repository for querying, editing, and exporting coded records. By structuring clinical data at the point of entry and retrospectively, the suite facilitates clinical decision support, medication safety checks, and data intelligence for research and benchmarking.
Target Audience
Primary customers are hospitals, health systems, and clinical research organizations that need to transform free‑text records into structured, standards‑compliant data for care coordination, billing, and trial analytics.
Features
- NLP engine that parses free‑text clinical notes and maps entities to SNOMED CT concepts with confidence scoring
- SNOMED CT‑guided text interface featuring real‑time autocompletion of preferred terms in multiple languages
- Terminology Management System (TMS) for maintaining SNOMED CT, local vocabularies, and mappings to ICD‑10 or other coding schemes
- Centralized medical data warehouse repository that stores SNOMED CT XML documents, supports query/edit/export via web UI and API
- Rule‑based SNOMED‑XML conversion module that generates compliant ICD‑10 codes and other external formats
- Webservice component for seamless integration with EHRs, decision‑support engines, and e‑prescription systems
- Built‑in support for medical exchange standards (Sumehr, HL7 C‑CDA) enabling secure data exchange across care settings