Wellness Data for Healthy Societies

Drawing on unique longitudinal datasets, analytical techniques, research expertise and tools for data science at WUN partners, this workshop will address three related areas:

  1. Develop a plan for a sustainable international project that will apply data analytics in a comparative study of patient pathways in health systems across several countries;
  2. Explore the legal, ethical, and technical challenges of disseminating and linking data sets;
  3. Launch a network of data scientists and users of data analytics across the WUN.

The impact of this workshop stands to be immense: transferring best practice between countries and medical systems, and leading to better outcomes for patients and more cost-effective service provision. It capitalizes on the geographic spread of WUN and the close association of many WUN partners with major hospitals and health systems.

The workshop will also lead to the establishment of a data science network that will stimulate and coordinate the novel use of data within projects that address the Global Challenges, capitalising on the data assets of WUN partners and providing solutions to political, social, legal and ethical issues that arise in data sharing, particularly across national boundaries.

Program
View the final program

Directions
View this map for walking directions from ONE UN New York to the Institute of International Education (2 mins walk).

1 May 2017

 8.15

Registration

8.45

Welcome & introductions

9.00 

Session I – Comparative Analytics of Patient Pathways Data

This session builds on recent research at Leeds and Rochester, developing analytical tools and methodologies for understanding patient pathways and clinical interactions.

At Leeds, this work is providing new understanding on the timeline of patients undergoing diagnostics for cancer in the Leeds Teaching Hospitals Trust, one of the largest teaching hospitals in Europe, and drawing on a unique dataset extending over many years. At Rochester, the research is exploring the interaction between clinicians, using electronic patient records and graph-based analytical techniques. Panelists will discuss ways to combine this work to form the nucleus of a comparative analysis of diagnostic functions within several health systems worldwide.

Chair – Robyn Owens, University of Western Australia
Martin Zand, University of Rochester
Randy Goebel, University of Alberta
Lydia Drumright, University of Cambridge
Owen Johnson, University of Leeds & Eric Rojas, Pontifical Catholic University of Chile

10.30

Break

11.00

Session II: Data Linkage, Part 1 – Linking Health Datasets

Panellists will demonstrate the opportunities for methodological advances in healthcare using medical record linkage, while exploring challenges associated with linking large data sets. Key issues will include patient privacy, linking across different jurisdictions, linking with related datasets such as education and justice data, and dealing with longitudinal datasets.

Chair: Peter Lennie, University of Rochester
David Preen, University of Western Australia

12.30

Lunch

Keynote: Rebecca Keiser, Head of NSF Office of International Science & Engineering

14.00

Session III: Data Linkage, Part 2– Web Observatory & Data Linkage

Panellists will showcase Web Observatory’s capacity for enabling and managing the sharing of metadata, especially that related to health datasets. Developed at the University of Southampton, the Web Observatory has the capacity to make datasets identifiable, searchable, and allows for various access permissions.

Chair: David Hogg, University of Leeds
Wendy Hall, University of Southampton
Kelvin Tsoi, Chinese University of Hong Kong
Ramine Tinati, University of Southampton
Thanassis Tiropanis, University of Southampton

15.30

Break

16.00

Session IV: Discussion & Planning Breakouts

Based in the day’s presentations, participants will develop plans for funding bids and map future projects related to data linkage and sharing.

Facilitator: Jane Gatewood, University of Rochester

17.45

Meeting adjourns

18.00

Reception and Dinner (all participants and speakers) The Smith Midtown 956 Second Avenue (at 51st Street)


2 May 2017

8.45

Arrival & Check-in

9.00

Concurrent Sessions

A. WUN Data Science Network Planning

Participants will plan the establishment of a WUN data science network that will stimulate and coordinate the novel use of data within projects that address the WUN Global Challenges, capitalising on the data assets of WUN partners and providing solutions to political, social, legal and ethical issues that arise in data sharing, particularly across national boundaries. Future projects could include collaborative research and project funding in the analysis of data acquired from health and wellness devices.

Facilitator: Ruth Levenkron, University of Rochester

B. Bid Development: Patient Pathways Data & Data Linkage

Participants will evaluate specific funding sources and develop bids and plans for bids accordingly.

Facilitator: Jane Gatewood, University of Rochester

10.30

Break

11.00

Concurrent Sessions

A. WUN Data Science Network Formation

Participants will identify a network chair and a project plan for the WUN data science network that will stimulate and coordinate the novel use of data within projects that address the WUN  Global Challenges, capitalising on the data assets of WUN partners and providing solutions to  political, social, legal and ethical issues that arise in data sharing, particularly across national  boundaries.

Facilitator: Ruth Levenkron, University of Rochester

B. Bid Development: Patient Pathways Data & Data Linkage

Participants will develop bids and plans for bids for specific, previously identified funding sources.

Facilitator: Jane Gatewood, University of Rochester

12.30

Lunch

14.00

Concurrent Sessions (TBC)

A. Data Sharing & the Web Observatory
Wendy Hall, University of Southampton
Ramine Tinati, University of Southampton
Thanassis Tiraponis, University of Southampton

B. Bid Development: Patient Pathways Data & Data Linkage
Participants will develop bids and plans for bids for specific, previously identified funding sources.

Facilitator: Jane Gatewood, University of Rochester

16.00

Meeting adjourns

Associated Research Groups