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Smarter and more expedite search and retrieval of patient information! How «state of the art» Semantic Technology can improve patient security at the Surgery Division at Ahus. 20 May 2016 for HealthInsight Mariann Aaland, Ahus Guillermo Vega-Gorgojo, UIO Tore Hartvigsen, DNV GL Ivar Thor Jonsson, Ahus Ahmed Soylo, UiO Johan Klüwer, DNV GL Vegard Dahl, Ahus Laura Slaughter, UiO Morten Strand, DNV GL Geir Arne Larsen, Ahus Arild Waaler, UiO Jean-Rapaël Vieille, DNV GL Olav Lenvik, Ahus Atle Kvalheim, DNV GL Knud Mohn, Forsvarsbygg Ungraded 1 DNV GL © 2014 03 February 2016 SAFER, SMARTER, GREENER Agenda 1. Why Optique? 2. Pilot study Ahus – Surgery Division 3. Demonstration Ungraded 2 DNV GL © 2014 03 February 2016 3 DNV GL © 2014 4 DNV GL © 2014 Poor completion of the Surgery Notification Form due to time constraints Ungraded 6 DNV GL © 2014 03 December 17 February 2016 2015 Big volumes of text documents Example from current system in use at Ahus Ungraded 7 DNV GL © 2014 03 February 2016 Freeing of time that today is used to search for information gives more time to focus on the patient . Doctors can focus on «doctor things» instead of searching for information. Medical terms and expressions based on medical ontologies are used to avoid misunderstandings. Consistency can be checked with available data sources/ schemas. Information can be retrieved without the involvement of IT-experts. The risks for unwanted patient incidents are considerably reduced by improved access to information! Ungraded 8 DNV GL © 2014 03 February 2016 Pilot study at Ahus (November 2015 – January 2016) Project description – Demonstrate how improved patient security can be achieved by making information in existing data sources more easily available when preparing for surgery. – The Surgery notification form is the basis for the study. The pilot (can be demonstrated) – «The Optique Way» is retrieving of data directly from several source databases in parallel, without temporary storage of intermediate results. This implies that the databases can stay where they are but still be available for integrated usage. – 2 roles (Anesthesia and Gastro-surgery) and 2 diagnosis (Inguinal hernia (lyskebrokk) and colon cancer). – Intelligent search in unstructured data can replace «manual» search in EPJs. – Consistency checks of manual filled in forms. – Web based solution. – . Ungraded 9 DNV GL © 2014 03 February 2016 Observation of “todays” situation at Ahus Patient data is individual, both «fresh» and «historical and stored in several but not connected data bases. In the current EPJ search for information is cumbersome. Many different data sources. Unstructured data is dominating. Manual transfer / multiple registrations of same data leads to risk for errors. Data quality is reported to be poor. Vital for patient security that all available information about a patient is easily available when preparing for a surgery. Improved data security will contribute to improved patient security. Ungraded 10 DNV GL © 2014 03 February 2016 Automatic check of manually filled in forms Check if “allergies” is mentioned in existing documentation Check if “smoking” is mentioned in existing documentation Ungraded 11 DNV GL © 2014 03 February 2016 Demonstration of the “Ahus pilot” (as simulated in the pilot study) DEMO Show how we can: - DIPS (EPJ) 1: Performe advanced search across several data sources. - Metavision - Kjernejournal - Egenmelding - Operasjonsmelding Facts about the patient 2: Aid to complete the Operation form. 3: QA of own declaration. 4: Help to search in big volume data sources. Reduce amount of documents to focus 5: Synonym search Ungraded 12 DNV GL © 2014 03 February 2016 Proposal for developing the pilot into an operative system. Ungraded 13 DNV GL © 2014 17 December 2015 Semantic Technology for improved patient security! Tore Hartvigsen [email protected] +47 95941544 www.dnvgl.com SAFER, SMARTER, GREENER Ungraded 14 DNV GL © 2014 03 February 2016