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BRIDGING THE GAP BETWEEN CLINICAL RESEARCH AND CARE Philips Research Europe Brussels, February 2012. EHR4CR WP4-Semantic Interoperability: Convergence Meeting Jan 22, Paris, France Slides by Laura Hollink, VU University Amsterdam
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BRIDGING THE GAP BETWEEN CLINICAL RESEARCH AND CARE Philips Research Europe Brussels, February 2012 • EHR4CR WP4-Semantic Interoperability: Convergence Meeting • Jan 22, Paris, France • Slides by Laura Hollink, VU University Amsterdam • With images borrowed from Anca Bucur (Philips), Zhisheng Huang (VUA), Raul Alonso (UPM)
EURECA project details • Enabling information re-Use by linking clinical REsearch and CAre • FP7-ICT-2011-7 • 42 months from 2012 - 2015 • Budget 13.5M • 18 Partners (EU + Canada) • Clinical domain: Oncology • Call topic: Tools and environments enabling the re-use of electronic health records
EURECA Vision • Seamless, secure semantic linkage of healthcare information residing in EHR systems (organization-wide) with information in clinical research information systems, supporting the two currently separated worlds of clinical research and clinical practice to connect and benefit from each other. • Main barriers • the lack of semantic interoperability • challenges around data security and patient privacy.
Increasing Semantic interoperability • Enables exchange of structured data with meaning in a heterogeneous language environment • Sharable context • Linkage between Electronic Health Records (EHR) and Clinical Trials Systems (CTS)
Terminologies and Links • ... Core Dataset Terminology Binding (using HL7 recommendation) Vocabularies subsets SNOMED MedDra LOINC Semantic Integration: standards SEMANTIC INTEROPERABILITY LAYER Translate Reasoning Map
Applications EURECA plans to build • Automated recruitment of patients for trials • Supporting the update of clinical guidelines • Support for designing feasible and relevant eligibility criteria, based on patient population and previous trials. • Automatic detection and reporting of side effects (SARs/SUSARs) • Giving a a clinician a quick overview of available information about a patient • Long term follow-up of patients • And much more …
Application: patients and trials • Recruit patients for trials • Find trials for a given patient
Formalization of trial eligibility conditions • 4 Main Approaches: • Pattern-based (SPARQL Queries with Regular Expressions) • Annotation-based (SPARQL Queries with Annotated Criteria) • Rule-based (Formalizing Criteria with a rule language, Declarative approach) • Script-based (Procedural processing)
SemanticCT • Platform for rule-based formalization of trials, and patient-trial matching. • Currently working on 4665 clinical trials taken from linkedCT.org • Annotated with SNOMED concepts • Functionality: semantic queries on the data, linking of patients to trials.
Application: Supporting the update of clinical guidelines • Tracking the evidence of a guideline is currently hard and time-consuming. • A lot of literature needs to be read. • We aim to support this process. • Given a guideline incl. links to literature as evidence -> Recommend relevant literature based on • similar, newly published literature • newly started or completed trials • other recently updated guidelines.
Application (planned in year 3) • In many of our planned applications, there is a huge amount of information available. • We aim to give a clinician and overview by grouping the information and giving a summary of each group. • Technique: “RDF summarization” • Aim: summaries instead of a long list. “There is 1 trial with matching eligibility criteria” “There are 101 trials with matching eligibility criteria except age”
Current status • Almost 1 year under way • Working on a solid basis: use cases, architecture, common data model, first versions of applications. • More info: http://eurecaproject.eu/