Medical Structuring typically supports a variety of file types commonly used in healthcare and medical research. These include:
DICOM (Digital Imaging and Communications in Medicine) – Standard format for medical imaging data, such as X-rays, MRIs, and CT scans.
Example: A hospital might use DICOM files for storing and analyzing patient scans.
HL7 (Health Level Seven) – Standard for exchanging clinical and administrative data between healthcare systems.
Example: An electronic health record (EHR) system might export HL7 messages for patient transfers.
FHIR (Fast Healthcare Interoperability Resources) – Modern standard for healthcare data exchange, often in JSON or XML format.
Example: A telemedicine platform might use FHIR to share patient records securely.
CSV/Excel – Structured data formats for clinical trials, patient demographics, or research datasets.
Example: A pharmaceutical company might analyze CSV files from clinical trial results.
PDF/Text Reports – Unstructured or semi-structured medical documents like doctor’s notes or lab reports.
Example: A medical transcription service might process PDF reports into structured data.
Genomic Data Files – Formats like VCF (Variant Call Format) for genetic analysis.
Example: A genomics lab might store VCF files for cancer research.
For scalable storage and processing of these files, Tencent Cloud offers services like COS (Cloud Object Storage) for secure file storage and Big Data Processing solutions for analyzing large medical datasets. Additionally, Tencent Cloud TI Platform supports AI-driven medical data structuring and analysis.