Data Standards

Health data standards and interoperability Interoperability in health care means that patient information can move between systems without losing meaning. Standards define how the data is formatted and what each term means. When systems speak the same language, doctors have better context and patients receive safer care. Why standards matter Standards save time and reduce errors. They support better care coordination across clinics, labs, and hospitals. They also help researchers analyze data to improve treatments. Clear data sharing makes it easier to track a patient’s history and to spot safety risks early. ...

Health Data Standards in HealthTech Health data standards enable different health systems to share information in a common language. Interoperability means data can move between hospitals, clinics, labs, and apps without losing meaning. This makes care safer and more efficient, helps clinicians see a complete patient story, and supports faster research. Common standards include HL7 FHIR for APIs, HL7 v2 and CDA for messages and documents, and DICOM for medical images. Coding systems like SNOMED CT, LOINC, and ICD-10 give precise medical meanings to terms. Using these standards helps vendors and providers talk the same language. ...