Health Insight Open Workshop

Registration: Registration form
Date: 20 May 2016
Place: 5th floor, Ole Johan Dahls hus, 5th floor (room 5462), Informatikksalen
Time: 09:00-16:30

The Health Insight Open Workshop will be hosted in collaboration with Optique Project Friday 20 May.

About

Funded by NFR IKTpluss as a pre-project, 1-year funding with the following objectives:

build community and partnerships that will advance Norway’s use of healthcare big data
work towards technological and institutional infrastructure needed for accessing and integrating individual and population- based healthcare data for analysis
develop and evaluate demos for querying and exploring large integrated datasets
promote further research in the area of big healthcare data and disseminate innovative ideas for improving services in Norwegian public healthcare institutions by integrating existing data sources

Purpose of the workshop: Bring together the community to meet and discuss steps to advance Norway’s use of healthcare big data

Summary: Huge quantities of complex and diverse data are generated everyday in healthcare institutions, including clinical documentation (diagnostics, lab data, imaging data, etc.), administrative data, activities and cost data, and R&D data from clinical trials. These data pools currently remain locked in silos that do not communicate. The power to query across these interrelated healthcare datasets and perform advanced analytics promises to revolutionize healthcare services. Numerous stakeholders can benefit, including service providers, pharmaceutical and medical products industries, as well as patients themselves. We have invited speakers to talk about a broad range of topics related to connecting and and analyzing health-care datasets.

Program

09:00-09:15 Introduction to HealthInsight
09:15-09:45 Erik Fosse: Introduction to the BIGMED Project
09:45-10:15 Tomas Alme: DIPS and Use of OpenEHR
10:15-10:30 Break
10:30-11:15 Bill Hogan: Putting pharmacogenomics into practice: Success at the University of Florida
11:15-12:00 Uli Sattler: Semantic Web technologies  for  Healthcare applications  in  Manchester
12:00-13:00 Lunch

13:00-13:30 Ernesto Jimenez-Ruiz: Ontology alignment: evaluation and healthcare applications
13:30-14:00 Johan Kluwer, Tore Hartvigsen: Ahus Surgical: “Ontology-based access to hospital patient data”
14:00-14:45 Ian Horrocks: Semantic Technologies for Data Analysis in Health Care
14:45-15:00 Break
15:00-15:30 Guillermo Vega Gorgojo: Using Linked Data Resources: Drugs and Side Effects
15:30-16:00: Amanda Hicks: Sharing Medical Knowledge Across Languages: Mapping the NCI Thesaurus to the Inter-Lingual Index
16:00-16:15 Wrap up and questions

Afterwards, for those interested:
Open Discussion: Identification/road map of the scientific challenges in medical big data computing

Please either register here, or send an e-mail by May 18th to project.health.insight@gmail.com if you plan to attend, so we know how many lunches to order.

More information about the workshop can be found on The Intervention Centre website.

HealthInsight is funded by NFR 247784/O70, Project Manager: Laura Slaughter,
OUS, Intervensjonssenteret

Posted by Optique

How much time is spent searching for data?

Engineers in industry spend a significant amount of their time searching for data that they require for their core taks. E.g., in the oil&gas industry, 30–70% of engineers time is spent looking for and assessing the quality of data. (Crompton, 2008)

How much value could be created in that time?

Numbers provided by Optique partners Siemens and Statoil suggest that Optique could free up a substantial amount of expert time annually in these two companies alone. The potential benefit from a more effective analysis of the data will be even higher.

Optique: a paradigm shift for data access

The project will provide a semantic end-to-end connection between users and data sources. The Optique platform will feature an intuitive, general, but adaptable end-user interface. Data can be integrated from multiple, also streaming, data sources, with the possibility for large-scale parallel cloud processing and storage.

Optique: a unique combination of technologies

The Optique project brings a unique combination of technologies to bear on Big Data challenges: An end-user-oriented query interface; scalable query rewriting from the end-user to the source vocabulary; temporal and real-time continuous stream processing; scalable storage and query evaluation using elastic clouds.