1 How state of the art Semantic Technology can improve patient security at the Surgery Division at AHUS Tore Hartvigsen DNV GL Johan Klüwer DNV GL Morten Strand DNV GL Jean Rapaël Vieille DNV GL ID: 563719
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Smarter and more expedite search and retrieval of patient information!
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How «state of the art» Semantic Technology can improve patient security at the Surgery Division at AHUS.
Tore Hartvigsen, DNV GLJohan Klüwer, DNV GLMorten Strand, DNV GLJean-Rapaël Vieille, DNV GLAtle Kvalheim, DNV GLKnud Mohn, Forsvarsbygg
Guillermo Vega-Gorgojo, UIO Ahmed Soylo, UiOLaura Slaughter, UiOArild Waaler, UiO
Mariann Aaland, Ahus
Ivar Thor Jonsson, Ahus
Vegard Dahl, Ahus
Geir Arne Larsen, Ahus
Olav Lenvik, AhusSlide2
Agenda
Why Optique?Pilot study Ahus – Surgery Division
Demonstration 2Slide3
AKERSHUS UNIVERSITETSSYKEHUS HF (AHUS)
Some key figures (2015)Established as a university hospital in 20019000 employees 1000 beds
Serves as specialist hospital for an area of 500.000 people>250 000 policlinic consultations / 28.300 patient-days
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Poor completion of the Surgery Notification Form due to time constraintsSlide7
Big volumes of text documents
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Example from current
system in use at AhusSlide8
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!8Slide9
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..9Slide10
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. 10Slide11
Automatic check of manually filled in forms
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Check if “allergies” is mentioned
in existing documentation Check if “smoking” is mentioned in existing documentationSlide12
Demonstration of the “AHUS pilot”
- DIPS (EPJ)- Metavision
- Kjernejournal - Egenmelding- Operasjonsmelding
12Facts about the patient
DEMOShow how we can
:
1:
Performe
advanced
search
across
several
data
sources
.
2: Aid to
complete
the
Operation
form.
3: QA
of
own
declaration
forms.
4: Help to
search
in
big
volume
data
sources
.
Reduce
amount
of
documents
to
focus
5: Synonym
search
(as
simulated
in
the
pilot
study
)Slide13
Proposal for developing the pilot into an operative system.
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Semantic Technology for Improved Patient Security!
14Tore Hartvigsen
Tore.hartvigsen@dnvgl.com
+47 95941544