Structured Data Capture for Oncology
Autor: | Walter S. Campbell, Alexander K Goel, Richard Moldwin |
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Rok vydání: | 2021 |
Předmět: |
Oncology
medicine.medical_specialty Standardization computer.internet_protocol Computer science Interoperability Automatic identification and data capture Medical Oncology Health informatics Terminology 03 medical and health sciences 0302 clinical medicine Systematized Nomenclature of Medicine Internal medicine medicine Humans 030212 general & internal medicine SNOMED CT business.industry General Medicine Semantics 030220 oncology & carcinogenesis business computer Delivery of Health Care XML |
Zdroj: | JCO clinical cancer informatics. 5 |
ISSN: | 2473-4276 |
Popis: | Lack of interoperability is one of the greatest challenges facing healthcare informatics. Recent interoperability efforts have focused primarily on data transmission and generally ignore data capture standardization. Structured Data Capture (SDC) is an open-source technical framework that enables the capture and exchange of standardized and structured data in interoperable data entry forms (DEFs) at the point of care. Some of SDC’s primary use cases concern complex oncology data such as anatomic pathology, biomarkers, and clinical oncology data collection and reporting. Its interoperability goals are the preservation of semantic, contextual, and structural integrity of the captured data throughout the data’s lifespan. SDC documents are written in eXtensible Markup Language (XML) and are therefore computer readable, yet technology agnostic—SDC can be implemented by any EHR vendor or registry. Any SDC-capable system can render an SDC XML file into a DEF, receive and parse an SDC transmission, and regenerate the original SDC form as a DEF or synoptic report with the response data intact. SDC is therefore able to facilitate interoperable data capture and exchange for patient care, clinical trials, cancer surveillance and public health needs, clinical research, and computable care guidelines. The usability of SDC-captured oncology data is enhanced when the SDC data elements are mapped to standard terminologies. For example, an SDC map to Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) enables aggregation of SDC data with other related data sets and permits advanced queries and groupings on the basis of SNOMED CT concept attributes and description logic. SDC supports terminology maps using separate map files or as terminology codes embedded in an SDC document. |
Databáze: | OpenAIRE |
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