odf iii - 3.15.16 - day two morning sessions

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Health and Human Services

3

Can the Silos Be Connected?

Yes The Silos Can Be Connected…But a New

Training Approach Is Needed to Integrate SDOH

Interoperability

+

Optimization

= InterOptimability

Tuesday’s Open DataFest AgendaIntroduction For the Day

National Perspectives on Open Data

Interactive – Assessing Readiness for Open Data

Break

How Can Open Data Advance Policy Formation And Decision Making

Lunch

Making Data Understandable and Useful Through Visualization and Storytelling

Understanding the Opioid Crisis Through Enhanced Data Sharing and Analytics

Break

Interactive: Assembling the Pieces & Charting the Path Forward

Wrap Up and Close

Join the conversation now: #HHSDataFest

National and Global Perspectives on Open Data

Damon Davis, Director Health Data Initiatives , US Department of Health and Human Services

@damonldavis

WHERE IDEAS AND OPPORTUNITIES GENERATE IMPACT

HHS Ignite Internal accelerator for new ideas

Seed funding

Leadership support

3 months training &

mentorship

HHS Ventures

Up to $10K

Up to 15 months of support

Suite of tools, guidance,

technical support

HHS Buyer’s ClubModernizing Acquisition

Develop easier, more effective

models

Testing innovative acquisition

methodologies

Incentivize operational & cultural

change

Public Access to Research Results Digital

Accountability & Transparency

Act

U.S. Department of Health

and Human Services

0

Transparency

ParticipationCollaboration

Open Government

Open Data

Rheumatoid Arthritis Challenge

• Explore HealthData.gov - use the data

• Share the stories of how you’re using the data.

• Tell us what data you need.

• Engage with the IDEA Lab through in-Residence programs.

• Connect with @HHSIDEALab & hhs.gov/IDEALab.

Explore, Engage, Connect

@damonldavis

Join the conversation now: #HHSDataFest

Interactive Activity: Enhancing State and Local Collaboration with Open Data

- Facilitators: Stewards of Change Institute Team

Assessing Readiness for Open Data

Purpose:

To develop an understanding of the factors that affect readiness to move towards a data driven organization.

Method:

1. Choose a partner and introduce yourselves.

2. One of you will interview the other for 10 minutes using the readiness tool and record their answers on the worksheet template.

3. Switch roles.

4. After both interviews are finished, use the large template to tally everyone’s responses. Discuss the items that received the most scores.

5. Whole room debrief.

Join the conversation now: #HHSDataFest

How Open Can Data Revolutionize Policy Formation and Organizational Decision-Making within Government?

Moderator: Nirav Shah, MD, MPH, Senior Vice President & Chief Operating Officer, Kaiser Permanente Panelists: Oscar Alleyne, MD, Senior Advisor Public Health Programs, National Association of City and County Health Officials Joy Bonaguro, Chief Data Officer, City and County of San Francisco Michael Wilkening, Undersecretary, California Health and Human Services Agency

Open DataFest III, March 15, 2016

Open Data, Policy and Governmental Decision Making

E. Oscar Alleyne, DrPH, MPH

Senior Advisor for Public Health Programs

[email protected]

NACCHO’S Strengthening Performance Model

Governance of LHDs (by State)

Local = All LHDs in state are units of local government

State = All LHDs in state are units of state government

Shared = All LHDs in state governed by both state and local authorities

Mixed = LHDs in state have more than one governance type

Schools

Community

Centers

Employers

Transit

Elected Officials

Doctors

EMS

Law

Enforcement

Nursing Homes

Fire

Corrections

Mental

Health

Faith Institutions

Civic Groups

Non-Profit

Organizations

Neighborhood

Organizations

Laboratories

Home

Health

CHCs

Hospitals

Tribal Health

Drug

Treatment

Public Health

Agency

Public Health System

Data & health outcomes

• Public health departments use accessible data to improve public health outcomes

• Communicable Disease Investigation• Community Health Assessment• Chronic Diseases• Environmental Health• Food Safety• Built Environment• Clinical Services• Maternal, Child & Adolescent Health• Behavioral Health

Addressing the Causes of Death

Sources—NEJM, CDC

Access to data

• Local health departments have a difficult time accessing essential data that will improve public health outcomes

• Physical Infrastructure

• Timeliness of data analysis

• Workforce needs

• Lack of interoperability

• Left out of the good stuff that academics & researchers enjoy……

• “Towers of Mordor”

Anatomy and Evolution of Data Exchange

Hospitals

Pharmacies

Physicians

Clinics

Labs

$

Payers

Patients

Public

Health

texttext

text

CDA

HL 7 2.4

HL 7 2.3

HL 7 2.5

text

X12

cvs

text

U

P

H

N

HospitalsPharmacies

Physicians

ClinicsLabs

$

Payers

Patients

RHIOs

Public

Health

Technology needs

Percent of LHD respondents with SyS and reported years of SyS use, by population served*

Results from the BNAS 2014-15 Survey

44%

20%

33%

4%

LHDs that manage their own SyS system

Direct from hospitals

From data aggregatoror contractor

From state healthdepartment

Direct fromCDC/BioSense

0% 20% 40% 60% 80% 100%

Foodborne illness

ILI

Notifiable disease

GI

Vector-borne diseases

Animal bites

Bioterrorism agents

Natural disaster related Illness/Injury

NCDs/Chronic disease

Poisoning

Injuries

Drug related hospitalizaitons

Suicide and self-inflicted injury

Alcohol related injuries

Mental health

Wild fire effects

Other

Any Surveillance

SyS

Percent of LHDs that use SyS that monitor health issues with any method compared to monitoring with SyS

Healthcare changes

• ACA changes and movement towards “value-based” care will make opening of health data essential to measuring population health.

• Local health departments need to access clinical data in order to be partners in population health management.

Policy issues

• In order to fully realize the benefits of community and population health management, we need to gain access to the large amounts of open clinical data consumption

• Equal partner with private-public enterprises

• This will allow for true innovation on the part of local public health departments.

• Give LHD’s the same access.

• Collection and use of biospecimens

• Collection and use of private data

• Public health surveillance vs. research

• Quality assurance and improvement vs. research

• Broad consent for use of biospecimensand private data for research

• Privacy and security requirements

• Will not cover operational issues related to IRBs

Notice of Proposed Rulemaking Regarding Federal Protections of Human Research Subjects (Common Rule)

NPRM selected provisions focus on

Summary

• Local health departments need access to timely, high-quality data

• Health departments use local data to inform program planning and evaluate program effectiveness, resulting in improved health outcomes

• Healthcare changes have implications for access and use of data

• Policies must be in place to allow sharing of and access to appropriate data

Data in San Francisco:Fueling good decisions

Joy Bonaguro

City and County of San Francisco

Open Data Fest III | March 15, 2016

Start with

problems…move to

opportunities

Knowledge

AbilityAccess

© Emw / Wikimedia Commons / CC-BY-SA-3.0

CMIA

SB1386

HIPAA

FERPAHMISRule 603

Child & Welfare

42 CFR 2

Health &Safety Code

Welfare & Institutions Code

AD Ch 20, 16, 12m….

Health Code

Penal Code

Police Code

Business & Tax Code

Platforms forRaw Data Open Protected

Gov, Standards & Quality

Pop Quiz: Which is more compelling?

Option A Option B

Platforms forRaw Data

Platforms forEngagement

Open ProtectedGov, Standards & Quality

TranStat

Stat Starter Kit – Customer Journey

•Case studies

•Demos

Learning

•Readiness assessment

•Consulting

Assessing•How to guide

•Consulting

Planning

•Consulting

•Tech guidebooks

•Training

Operating

Data: the fuel for good decisions

Platforms forRaw Data

Platforms forEngagement

Platforms forDecision-Making

Open ProtectedGov, Standards & Quality

Blog & Resource Library

THANK YOU@datasf | datasf.org |datasf.org/blog