Everyday HealthBeth Mynatt

The convergence of people, technology, and enterprises.

My beginning: Ubiquitous Computing at Xerox PARC

Designing Experiences

Separation

Anxiety

Peaceof mind

StabilityRowan, Jim, and Elizabeth D. Mynatt. "Digital family portrait field trial: Support for aging in place."

Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 2005.

Detectives

Designingfor

Connectivity

Stability

Mamykina, Lena, et al. "MAHI: investigation of social scaffolding for reflective thinking in diabetes management." CHI-CONFERENCE-. Vol. 1. ACM INC, 2008.

Human-Centered Design

Systems Science and Engineering

Information Technologies

Policy and Management

Health

Education

Media

Humanitarian Systems

The convergence of people, technology,

and enterprises.

Empowered ubiquitous healthMobile tools thatgauge symptoms and knowledge.

Physiciandashboards tomonitor progress.

Yun, Tae-Jung, et al. "Using SMS to provide continuous assessment and improve health outcomes for children with asthma." Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. ACM, 2012.

Empowered ubiquitous health

Yun, Tae-Jung, et al. "Using SMS to provide continuous assessment and improve health outcomes for children with asthma." Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. ACM, 2012.

Mobile tools thatgauge symptoms and knowledge.

Physiciandashboards tomonitor progress.

Empowered ubiquitous healthusablehealth

Just in time decision support for nutrition and dietdaily choices

Opportunities with EHR and PHR designs

PCMH designsandInnovation inPatient Health Records

Highly distributed

Everyday settings Aware Home @ Georgia Tech

Aware home research and development to evaluation in controlled care

settings to studies in

traditional homes.

I3L: Interoperability, Integration and Innovation Laboratory at Georgia Tech

GT Health CloudNIST standards-based

Federated IdentityEHRs, PHRs & Mobility

Sensors, Devices, Data, & Analytics

Automated TestingServices

Service Lines:Software TestingProof-of-ConceptLight Production

Full Production (SaaS)

I3L EngagementsInteroperability Demonstrations

Vendor CollaborationsWorkforce Training

Student TrainingEngineering & Research

I3L MembersConsulting BusinessesGovernment AgenciesSoftware Businesses

ManufacturersOther UniversitiesOther Non-profits

Economic Model &Incentive Structure

Human Productivity &Healthcare Costs

Economic Returns &Performance Information

Competitive Positions &Economic Investments

Patient Care &Health Outcomes

Care Capabilities &Health Information

Healthcare Ecosystem(Society)

System Structure(Organizations)

Delivery Operations(Processes)

Clinical Practices(People)

Source: Rouse, W.B., & Cortese, D.A. (Eds.).(2010). Engineering the

System of Healthcare Delivery. Amsterdam: IOS Press.

Conceptual Flight Simulator Architecture

Context-Specific Data Sources• Clinical Data• Administrative Data• Claims Data• Financial Data• etc.

Validated & EstablishedNational Risk Models

Secondary Data Sources• Framingham• Bogalusa• ADA• AHA• etc.

Risk Identification & Stratification

Web-Based Multi-Level Simulations

Park, H., Clear, T., Rouse, W. B., Basole, R. C., Braunstein, M. L., Brigham, K. L., & Cunningham, L. (2012). Multilevel

Simulations of Health Delivery Systems: A Prospective Tool for Policy, Strategy, Planning, and Management. Service

Science, 4(3), 253-268.

May Wang, BME

Life Data (Personal Health Record, Life Style & Environment)

Genetic Biomarkers (DNA, SNPs, Next Generation Sequencing etc. )

Clinical Diagnostic Imaging (Radiology, Pathology)

Complex System Network (Molecular and Patient Level) Modeling

Decision Making -- Correlation of Personal Molecular Fingerprint with Clinical Diagnosis with Individualized Health

Monitoring for Prediction

Decision Making -- Correlation of Personal Molecular Fingerprint with Clinical Diagnosis with Individualized Health

Monitoring for Prediction

Integrated Informatics for Personalized Health

Prabhakar, K., Oh, S., Wang, P., Abowd, G. D., & Rehg, J. M. (2010, June). Temporal causality for the analysis of visual events. In Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on (pp. 1967-1974). IEEE.

Behavior Imaging

IPaT Partnership Program

Georgia Department of Community Health

And many more…

Everyday HealthBeth Mynatt mynatt@gatech.edu

The convergence of people, technology, and enterprises.