Download Johan Kluwer, Tore Hartvigsen: Ahus Surgical

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
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Agenda
1. Why Optique?
2. Pilot study Ahus – Surgery Division
3. Demonstration
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Poor completion of the Surgery Notification Form due to time constraints
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Big volumes of text documents
Example from current system
in use at Ahus
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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!
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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.
– .
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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.
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Automatic check of manually filled in forms
Check if “allergies” is mentioned
in existing documentation
Check if “smoking” is mentioned in
existing documentation
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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
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Proposal for developing the pilot into an operative system.
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Semantic Technology for improved patient
security!
Tore Hartvigsen
[email protected]
+47 95941544
www.dnvgl.com
SAFER, SMARTER, GREENER
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