Optique Summit IV, Sept. 15th 2016,@ University of Oxford

The project has been defined as

a strategic innovation project.

2

Source: McKinsey analysis

Norway (totaly):• 5.2 mill inhabitants

10 hospital trustsAkershus University Hospital Trust, AhusOslo University Hospital Trust Innlandet Hospital Trust Sunnaas Hospital Trust Sørlandet Hospital Trust Telemark Hospital Trust Vestfold Hospital TrustVestre Viken Hospital TrustØstfold Hospital Trust

HSØ-area

• 2.9 mill inhabitants

• Budget: 79 billion NOK/ 8,5 billion €

for hospital health care pr year

• 78 000 employees in business

South-Eastern Norway Regional Health Authority (HSØ)Health regions are 100% state owned trusts with full legal and financial responsibilities, their own

board and their own CEO/management

Ahus

Human touch and empathy – with professional skill

UiO HSØ

Akershus University Hospital (Ahus) Ahus is a Complete urban hospital – large share of immigrant population

- A full service hospital – emergency, planned assistance – Serving all inhabitants of the catchment area

- from newly born to geriatrics

Ahus is Norway’s largest and most modern emergency assistance provider

Ahus is a university hospital with fruitful research and development activities

Ahus Area

• 520,000 Inhabitants

• 62,700 Inpatient stays,

• 27,500 Day patient care

• Budget: 7.5 billion NOK/ 0,95 billion €

for hospital health care pr year

• 9,250 employees in business

UiO HSØ

Health South-East has awarded strategic innovation funds to Akershus

University Hospital (Ahus), by the Division Director Ivar Thor Jonsson

for the project “Development of a semantic IT solution and ontology for

clinical use in health care”. The project has been awarded 2MNOK and

is defined as a strategic innovation project.

In collaboration with the company DNV GL and the University of Oslo a

pilot study in the surgical division, tied back to the EU funded research

project Optique, was performed last winter. This pilot study focused on

gathering information to “operational messages” at the Day-surgery

Center and was, according to Jonsson, very successful.

Optique in Healthcare is growing

Human touch and empathy – with professional skill

Surgery on Modern Hospitals is organized like a complicated Process Industry, where each Patient Care is Unique Surgeries

Human touch and empathy – with professional skill

UiO HSØ

Staff and most important software in a surgical department

Human touch and empathy – with professional skill

UiO HSØ

Brief History

Human touch and empathy – with professional skill

UiO HSØ

• Aug.13th 2015, Very first presentation of Optique-consept at Ahus

• Sep.25th 2015, HSØ examine whether Optique can be used in healthcare

• Nov. 1st 2015, Start-up a pilot study on Ahus on operational notification form.

• Feb.19th 2016, Presented the results of the pilot study for stakeholder at Ahus

• Mar.18th 2016, Presented the pilot study for HSØ / DIPS (EPR-supplier) with

discussion around to start developing Semantic IT Solution

• May 20th 2016, Presented the pilot study on Health InSight at the University of

Oslo.•

• June 27th 2016, Deciding HSØ to fund “Optique Sprint 1”

• Aug. 24th 2016, Kick off with HSØ on the “Development of a Semantic IT

solution and Ontology for Clinical Use in Health Care»

Pilot study shows examples

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UiO HSØ

How we can:

1: Do advanced search queries across of different data sources.

2: Help to fill surgery message form.

3: Quality check of self- certification

4: Help to search the documents. Reduce document amount.

5: Doing Synonym search text (advanced text-mining).Very successful look http://optique-project.eu/optique-in-heathcare-is-growing/

Quality check of self- certification Example from pilot study

Human touch and empathy – with professional skill

UiO HSØ

Check if "allergies" is mentioned in

existing documentation

Check if «smoking» is mentioned in

existing documentation

Surgery Message Formis an information carrier for all hospital staff who plan and execute surgeries

Human touch and empathy – with professional skill

UiO HSØ

Selected type

of Anesthesia

Crew during SurgeryMedication before Surgery

such as anticoagulation

Patient's health status

Current Medication

Selected Type of Surgery

and Patient Conditions

determines suitable

Equipment during Surgery

Planning of time of operation

Patient informations

Spesific information

Information to Surgeryteam

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UiO HSØ

More then 9000 surgeries at Day Surgery at Ahus every year

Objectives in Sprint 1

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UiO HSØ

Demonstrate how, by applying semantic technology, the time to collect and

integrate information from the Surgery Message Form can be reduced.

Focus: The Anesthesia and Gastro-surgery units at Ahus.

Basis: The existing Surgery Message Form and data available in Electronic

Patient Record (DIPS) and Intensive Care Software (Metavision).

Time: 8 weeks

This project requires clarification of roles, role responsibilities, and that we dare to think new thoughts and ideas.

Risk managementSponsors- HSØ- SP- DIPS

Team - Ahus- UiO- DnVGL

Steering Group in Ahus-project

Human touch and empathy – with professional skill

UiO HSØ

Mariann Aaland, Ahus Day Surgery Department lead

Knud Mohn – Ahus-project

Tore Hartvigsen, DNV GL

Arnt Ole Ree – HSØ

Project manager

Ivar Thor JonssonDirector Surgery Division

Today's project is an eight-week sprintThis sprint is in other words the first step towards a future-oriented solution

Goal: Create collaboration and

flow of the team

Every financing of next Sprint is dependent upon successful

delivery of ongoing Sprint before initiating a new one.

The Stakeholders (kick off - august 24th)

Human touch and empathy – with professional skill

UiO HSØ

Human touch and empathy – with professional skill

Back row from left: Arnt Ole Ree (HSØ), Bjørn Næss (DIPS), Tomas Nordheim Alme (DIPS), Geir Bøhler (HSØ),

Oddgeir Hvidsten (Sykehuspartner), Knud Mohn (Ahus-project), Atle Stein Kvalheim (DnVGL),

Tore Hartvigsen (lead development team, DnVGL), Per Meinich (HSØ), Roar Jakobsen (Sykehuspartner),

Asbjørn Finstad (Sykehuspartner), Stephen McAdam (DnVGL)

Front row from left: Vegard Dahl (Ahus), Meetali Kakad (HSØ), Kjetil Storvik (HSØ), Guillermo Vega Gorgojo (UiO),

Geir Arne Larsen (Ahus), Mariann Aaland (Ahus), Frode Harald Eidset (Ahus), Robert Nystuen (HSØ) og Nis Johannsen (HSØ)

Heading

Human touch and empathy – with professional skill

Tore Hartvigsen – DNV GL – Sprint Master, Mapping, Ontology, Administration

Haldor Husby – Ahus – Test database setup, reuse of ontology and tools in Ahus Guillermo Vega Gorgojo – UiO – Focus on GUI and the demonstratorLaura Slaughter – UiO – Focus on Ontology and cooperation, (national/international)Bjørn Næss – DIPS – Use of-, data-extract from-, and development in DIPSTor-Kristian Jenssen – PubGene – text miningDag Are Hov – PubGene – text miningJohan Klüwer – DNV GL – Ontology building, technology Atle Kvalheim – DNV GL – Mapping Jean-Raphaël Vieille – DNV GL – Technology set-up (ad hoc assistance)Erling Håland – DNV GL – Mapping and Ontology (trainee)

Observers (Regular):Knud Mohn – Ahus-project – Process coordinator Arnt Ole Ree - HSØ

The development team (in progress)

UiO HSØ

Human touch and empathy – with professional skill

UiO HSØ

Duration

(8 weeks)

16

Sprint planning meeting:

Agree deliverables, functionality and

risk mitigations for this sprint (Stakeholder Group)

Weekly Sprint meetings

Thursdays 9-11 at DNV GL Høvik

Fixed agenda:

- Achieved last week?

- To be achieved the coming week?

- Challenges/ obstacles ahead?

(Sprint Team)Management

reporting (Steering Group)

Sprint review meeting:

Review and approve

results (Stakeholder

Group).

Agile Implementation Process («SCRUM for Grown Ups»)

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UiO HSØ

Suggested Architechture

17

Text-

Files

DIPS

Electronic

Patient Record

Metavision

Intensive

Care Software

Data retrieval

Query

Rewriting

Visual Query

System

Text-

Files

Text-

Files

Ahus GUI“Text mining”

Ontologi

Mapping

Expert user «Ordinary» user

OPTIQUE component Ahus spesificand

Triple

store

Text

Index

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UiO HSØ

18

1. Access to Metavision and DIPS test data

2. Establish development-/ test environment at Ahus

3. Install and qualify technology

4. Security system (access control and logging)

5. Procedures for data governance

6. Develop Ontology

7. Map data from Metavision and DIPS

8. Text-search. Indexes. Develop GUI

9. Test the solution

10.Presentations/ Evaluation

And suggest activities for Sprint 2…..

Planned activities Sprint 1

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UiO HSØ

Thank you for your attention

Questions?

Optique Summit IV, Sept. 15th 2016,@ University of Oxford

http:// optique-project.eu/