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Public Health Emergency Response Use Case: Blockchain for a Mobile Workforce. Sachiko A. Kuwabara, PhD, MA Director, Office of Risk Management and Operational Integrity Division of Emergency Operations | Center for Preparedness and Response ymf5@cdc.gov. ACT-IAC Healthcare Blockchain Forum
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Public Health Emergency Response Use Case:Blockchain for a Mobile Workforce Sachiko A. Kuwabara, PhD, MA Director, Office of Risk Management and Operational Integrity Division of Emergency Operations | Center for Preparedness and Response ymf5@cdc.gov ACT-IAC Healthcare Blockchain Forum 27 March 2019
CDC’s Mission: CDC works 24/7 to protect America from health, safety and security threats, both foreign and in the U.S. As the nation’s health protection agency, CDC saves lives and protects people from health threats. To accomplish our mission, CDC conducts critical science and provides health information that protects our nation against expensive and dangerous health threats, and responds when these arise.
Deployment of CDC Experts When & Where Needed • Risks to a timely and effective response • Ability to rapidly mobilize surge capacity • Current State: Systems that Support Mobilization • “Siloed” Data • Legacy Systems • Lack of Trust in the Data
Challenges • Shallow data pool for analytics • Manual data entry (low trust data, entry errors, etc) • Highly ambiguous requirements completion process for deployers • Requirements verified manually (phone, email) • Communication difficult, ambiguous contacts • Overwhelming amount of pre-deployment information • Inconsistent, difficult, non-system tracked safety check-ins • Information learned on return not easily used to improve future deployments
Opportunities to Leverage Emerging Technology • To make our emergency management systems • More intelligent • More secure • More effective • To collect, analyze, and communicate data • To streamline processes and enable better decision making
Benefits of Blockchain for Emergency Response? • Allows data owners to retain ownership while still participating in eco-system • Secure, cross-organizational data sharing; facilitates intra-agency participation • Smart contracts drive automated workflow, actions and robust data trail • Immutability of critical data for compliance, safety, analytics, etc. • Automated, high-trust data and immutability create robust foundation for artificial intelligence
Goals: • Enable more sophisticated, streamlined processes • Enhance our use of data to drive decisions • Improve capacity and efficiency by connecting disparate data systems and modernizing operations • Share and utilize data to enhance coordination, leading to more informed, data driven decision making • Centralized coordination, decentralized execution
Our Approach • Start small • Human-centered design and discovery • Agile development and rapid prototyping principles • Leverage existing consortiums • Integration with new and existing systems (enterprise solution) • Cross-functional project team • Focus on user experience • Microservices • Expansion strategy
Explore Viability of Blockchain Technology • Analyze and map out business process • Prioritize and define exact opportunities to • optimize emergency response process, and • facilitate advanced automation techniques. • Leveraging rapid prototyping principles, work collaboratively with stakeholders to develop a product that, • meets business needs, and • is approachable and easy to use.
Web App, Mobile App, DLT • Establish an incorruptible, distributed database • House structured and unstructured deployment data (i.e., readiness state) • Aggregate information from other systems • Build a limited mobile app to show the value of cognitive automation and how it can reduce deployment time
Return on Investment • Decrease amount of time required to clear, track and monitor deployed assets • Increase data quality, usability and transparency • Improve feedback loop among users • Expand use of advanced data analytics
Next Steps: • Scale solution • Focus on access to additional data and deployment insights • Refocus business/Agency mindset • How can data help to answer tough questions and automate the answering of easy ones? • Minimally Viable Product (MVP) - 2019 • ATO Process & Implementation
Technical Considerations • Public/Permissioned • On chain/off-chain • Scalability, auditability requirements • Operating environment • Authority to Operate (ATO) process • Operating Costs
Other Considerations • Culture/Organizational Readiness • Decentralized Nature – Rules and Regulations • Governance
Balancing Hype with Tangible Experiences • Showcase Technology • Demonstrate Value • Engage stakeholders in incremental process