This year SEMICON Europa (12-15th November 2019, Munich) will have a strong focus on state-of-the-art medical technologies (MedTech), offering the SMART MedTech Forum as Europe’s first event to foster collaboration in semiconductor value chains and medical technologies.
Digital medicine promises to prevent and cure diseases and transform health care through personalized treatment. EPFL experts Lausanne, Philips, Robert Bosch GmbH, and Bart’s Heart Center will discuss considerable advances in personalized treatment, including the use of artificial organs, organs-on-a-chips and human avatars as the next paradigm in health care.
To achieve the smoothest possible exchange of information, it is essential to adopt standards for the different health systems to share. For this reason, several organizations seeking to unify interoperability criteria have arisen, such as HL7 International, HIMSS o NEMA.
In messaging for example, they have developed standards that define the format and structure of data elements to facilitate communication between different clinical systems. Among these are:
HL7 V2.X, HL7 V3 to exchange demographic, clinical and administrative data.
DICOM (Digital Imaging and Communications in Medicine) that defines the way to communicate diagnostic images and information associated with these.
ASC-X12, which has been designed to exchange procedures, patient eligibility and benefit payments.
IEEE 1073, which determines the messages to exchange data with biomedical instrumentation equipment.
With regard to health terminology or data standards that add the semantic component, vocabularies and codes have been developed to label clinical concepts such as diseases, problem lists, diagnoses, drugs, techniques and procedures, analytical determinations and laboratories, among others. Some of these are:
ICD-10 or the International Classification of Diseases, that defines a catalog of diagnoses and procedures for statistical purposes, billing, costs and paperwork.
LOINC that is more oriented to laboratory tests, metrics and clinical observations.
SNOMED CT, which is a large ontology of biomedical concepts with descriptions, relationships and grammar to build clinical expressions.
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