2016 Health Datapalooza:Bridging Academic Medicine and the 

Community – Data Driven Innovation for  Better Patient Care Outcomes

Nevena Zubcevik DO, Attending Physician, Harvard Medical SchoolCo-Director -

Dean Center for Tick Borne Illness

Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston MA; Spaulding Rehabilitation Hospital, Boston, MA

I have no financial relationships with a commercial entity  producing healthcare‐related products and/or services.

Conflict of Interest Disclosure

Objectives of talk --

be able to:

• Understand data gathering based on trends• Explain how to design a collaborative platform• List tools for data input and analysis

Chronic Illness Data Is Messy

Lose the Ego: Engage all stakeholders

Translational Clinical Gathering: Dean Center

Defining and characterizing illness parameters is key

Interdisciplinary Data Gathering:Top Research Priorities

Initiating Collaborative Data Quest

Johns Hopkins

Columbia Stanford

Harvard

Patients

Open 

Data

Open 

Data

Organizations

Providers inCommunity 

Government Data UtilizationTop Research Priorities

Google Trends Data Quest: Targeted Preventative Initiatives

Analyzing outliers

Analyzing outliers

Analyzing outliers

The Pressure Cooker: Faster and Retains the Energy

Faster Solutions:The Pressure Cooker Model

1.

Government: White House Office of Science and Technology Policy support

2.

Inter‐Institutional Collaboration: Hackathon – a multi‐talent innovation platform

3.

Patient Driven Innovation:

Building a Patient Innovation Platform Online

4.

Biomarker Data Collection: Utilizing Biobank data for Precision Medicine

5.

Outcome Measures: Integrating Patient Outcome Measures in data collection

Data Collection –

Plugging data into platforms

1.

EPIC:

Bridging Clinical and Research data with PROMS and Biobank

2.

OpenMedNet: Biomarker & Patient Outcome Measures platform with stats

3.

IdeaScale: Ability to discover needs based on popularity with stakeholders

Lyme Innovation Hackathon

Take Home Message

Successful data driven innovation initiative requires  buy‐in and participation of all inclusive stakeholders

Open data longitudinal data sets reveal trends in  disease pathogenesis, epidemiology, treatment, 

patient outcomes and guide faster ‐‐

on target  innovation