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Standards and Interoperability as They Apply to Patient Safety and to Innovative Diagnostics and Therapy


April 9, 2019

09:30 - 11:00

Stage B

Unstructured and non-standardized language contains errors and semantic misinterpretation. Can systems exchange data between APPS and health records and process them clearly and without errors? Terminologies and ontologies developed worldwide, such as SNOMED CT, LOINC, OMICS, or drug terminologies such as IDMP and UCUM, not only make data traffic more secure, they also form the basis for algorithms that are already being used today to enable precision medicine and merge data from Genetics and Electronic Patient Data.

Systems and projects that map terminology management will be . In addition, the different application scenarios of medical, therapeutic and nursing terminology will be discussed.

Customer benefits:
The benefits of ontologies and terminologies will be discussed against the background of modern technologies for artificial intelligence and machine learning. What can and does e-health terminologies offer in the digital age that go beyond mere billing documentation? Why do we need standardized languages in order to perform AI and ML effectively and to operate the algorithms? What will the future bring us?

Project reports:
Projects and products that have already used international e-health terminology in Germany and Europe will present their results and represent the hurdles and opportunities.