The project
| Project acronym | SmartMap SNOMED |
| Public project title | HosmartAI smart data mapper – semi-automated mapping utility for SNOMED CT |
| Project description | AI powered application, that automates the time consuming and error prone process of data mapping |
| Project description | Medicalvalues focuses on improving patient care and diagnostics efficiency and accuracy through AI based application, to provide diagnostic support to physicians. The importance of data in standardized form has become evident to us, as the results of AI based application greatly correlate with the quality and size of the available datasets. The increasing shortage of specialists is leading to overloaded physicians and general practitioners and medical staff. This results in over-, under-, or incorrect treatment or wrong diagnoses. Manual documentation and initiation of processes is error-prone and quite time consuming for the staff. Therefore, we create an AI-based application solution for medical diagnostic decision support. Working on integrative diagnostics for hospitals and large laboratories is our focus. Physicians may use our diagnostic support for early detection of illnesses. This AI solution is based on medical knowledge in form of knowledge graphs via. white box AI validated by external and internal physicians. The AI solution takes symptoms, pre-diseases, laboratory results and imaging results into account to give a proposal to the physician – the diagnostic decision support. The importance of automated mapping is now evident, as we see an increasing interest in Germany regarding mapping, also triggered by Covid LOINC Mapping. Here, our existing mapper with LOINC shows promising results. The extension to map data according to SNOMED CT standard is the next step. Our mapping will be provided using the FHIR standard. |
Video: Interview SNOMED
Information about team members
 | Alexis Kobrinski Machine learning & data handling Expertise |
 | Maximilian Kucher Machine learning & Advanced mathematics |
 | Maren Klimm UI/UX, Design Thinking, User experience medical products |
 | Carmen Diker Medical process management, Data flows in healthcare |
Entity
| Name | Medicalvalues GmbH |
| Country | Germany |
| Description | Artificial Intelligence for medical diagnostics |
