panel discussion: government initiatives and opportunities
DESCRIPTION
Thursday, October 25, 1990 Panel Discussion: Government Initiatives and Opportunities Moderator: Bill Riley, PhD – Chief, Science of Research and Technology Branch, NCI Panelists: Misha Pavel, PhD – Program Director, NSF Bakul Patel, MS – Policy Advisor, Office of the Center Director, CDRH, FDA Kim Tyrell-Knot, JD – Partner, Epstein Becker & GreenTRANSCRIPT
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Smart Health and Wellbeing Misha Pavel
National Science FoundationComputer & Information Science & Engineering Directorate
Information and Intelligent Systems Division&
Oregon Health and Science UniversityDepartment of Biomedical Engineering
Any opinion, finding, and conclusions or recommendations expressed in this material; are those of the author and do not necessarily reflect the views of
the National Science Foundation
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Information and communication technologies are poised to be key
components in transforming healthcare …
preventing the onset of diseases, improving diagnoses and treatments,
enhancing the quality of health care delivery, and empowering us to participate in our own
health and well-being
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Related Federal Plans and Reports• PCAST: Realizing the Full Potential of Health Information Technology to
Improve Healthcare for Americans: The Path Forward, Dec 2010
• PCAST: Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology, Dec 2010
• NRC: IOM Learning Health System Series of Reports
• ONC: Federal Health Information Technology Strategic Plan 2011-2015, Office of the National Coordinator for Health Information Technology 2011.
• National Prevention Strategy, National Prevention Council, U.S. Department of Health and Human Services, Office of the Surgeon General, 2011
• HHS: National Strategy for Quality Improvement in Health Care, U.S. Department of Health and Human Services, Interagency Working Group on Health Care Quality, 2011.
• NSTC: Trustworthy Cyberspace: Strategic Plan for the Federal Cybersecurity Research and Development Program, NSTC, 2011.
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Family
Caregiver
Coach
Clinician
Devices
Use
r In
terf
aces
Infe
renc
e A
sses
smen
t
New Vision Patient-Centered Framework for Health and Wellness
Payers Employers LegalEnvironment Privacy
Self-carePatient
Physical FunctionCognitive Function
Chronic DiseaseSocialization
Physio Sensors
Activity Sensors
Mobile Sensors
EHR, PHR
Mobile Health
NIT: Networks, DB, API Software, EHR, PHR
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Some Research Challenges in Health
• Safe and secure distributed home healthcare ▫ Fool-proof application even under cognitive decline
• Mental health and cognitive decline• Behavior modification
▫ Obesity, smoking, exercise• Networked wireless cooperative medical devices• Assistive robots and prosthetics• Augmented human:
▫ Integrated sensory, cognitive and mobility assist
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Smart Health Research Thrusts• Continuous accrual and integration of EHR, pharma and
clinical research data in a distributed but federated system
• A foundation for evidence-based, patient-centric practice & research
Digital Health Information
Infrastructure Informatics and Infrastructure
• Cognitive support systems spanning clinical to lay decision making
• Data mining, machine learning, discovery from massive longitudinal and individual data
Data to Knowledge to Decision
Reasoning under uncertainty
• New models of distributed and home-centered healthcare provision
• Technologies that aide in modifying self and group behavior
Empowered IndividualsEnergized, enabled,
educated
• Assistive technologies embodying computational intelligence
• Medical devices, co-robots, cognitive orthotics, rehab coaches
Sensors, Devices, and Robotics
Sensor-based actuation
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Causes of Premature Mortality
7
30%
5%
15%
40%
10%
Genetic
Environmental Exposure
Social Circumstances
Behavioral
Medical Care Deficiency
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Smart Health and Wellbeing ProgramProposals
•Have the potential to transform healthcare delivery and/or improve quality of life
•Advances in at least one core scientific area ▫Engineering, e.g., sensor technology, signal
processing, optimization, complex systems analysis, etc.
▫Computer Science and Engineering, new inference algorithm, mathematical modeling,
▫Social, Behavioral and Economics, e.g. behavior change, psychology, social psychology, systems science, and others
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Proposal Review Criteria
Return
Intellectual Merit
Broader Impacts
SHB Programmatic Criteria
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Intellectual Merit Criteria
NSF’s Panelist System and your Reviews
▫ To what extent does the proposal suggest and explore creative, original and potentially transformative concepts?
▫ How important is the proposed activity to advancing knowledge and understanding within its own field and/or across fields?
▫ What will be the significant contribution of the project to the research and knowledge base of the field?
▫ How well conceived and organized is the proposed activity?
▫ How well qualified is the team to conduct the proposed activity?
▫ Is there sufficient access to resources; equipment, facilities, requested support (budget)?
Return
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Standard NSF Evaluation Criteria: Broader Impacts
• Implicit – new knowledge, field, benefits to society
• Explicit – societal impact, technology transfer, results dissemination
• Integration of Research and Education – teaching, training, and learning
▫ Development of curriculum
▫ Development of education experiences through student involvement in emerging research and technology areas
▫
• Broadening participation of underrepresented groups including gender, ethnicity, disability, geographic, etc.
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Return
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SHB Requirements
• Impact on a key health and wellbeing problem
• Significance of the fundamental contribution to engineering, computer and information sciences, or social, behavioral and economic sciences.
• Collaboration Plan – Demonstrate that the participating investigators will work synergistically to accomplish the project objectives
• Data Management Plan – The definition of “data” may include, but not limited to data, publications, samples, physical collections, software and models
• Postdoctoral Training – A description of the mentoring activities for the postdocs including collaboration with researchers from diverse backgrounds and disciplines
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Suggestions for Proposers•Find the most appropriate directorate and program•Look at the current and past funded projects•Become a reviewer•Write for the reviewers including the Project Summary•Focus on the innovative, transformative aspects of
your proposal•Double-check that your proposal has ALL the parts
required by the solicitation•Have your colleagues read it•Pay attention to details, e.g. speling•Submit it to FastLane
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spelling
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Useful Website: www.nsf.gov
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A examples of currently SHB-funded projects• Predictive modeling and patient-centered detection and prediction
▫ Novel Computational Techniques for Cardiovascular Risk Stratification mHealth
▫ Assistive Cloudlet-based Mobile Computing for the Cognitively Impaired
▫ Self-care Management: Patient-Centered Diabetic Wound Care Using Smart Phones
▫ From the Ground Up -- Mobile Tools for Grassroots Programs in Public Health)
• Inference of activities and states
▫ Quantitative Observational Practice in Family Studies: The case of reactivity
• Robotics, co-robots, smart prosthetics and orthotics
▫ Socially Assistive Human-Machine Interaction for Improved Compliance and Health Outcomes
▫ An Assistive, Robotic Table [ART] Promoting Independent Living
• Social computing – empowering individuals, coaching
▫ Matchmaking for health: Facilitating Mentoring in Peer Health Communities through Social Matching
• Monitoring and Inference – home care
▫ Crafting a Human-Centric Environment to Support Human Health Needs (Cook, WU)
▫ Computational Algorithms for Predictive Health Assessment Multi-Patient Fall-Risk Monitoring in Health Care Facilities
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Currently Funded Wireless by NSF Organizations
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CBET
CCF
CMMI
CNS
DBI
DMS
DUE
ECCS
IIP
IIS
OISE
SBE
0 5 10 15 20 25 30 35 40
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Currently Funded mHealth by NSF Organizations
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AGS
ANT
BCS
CBET
CCF
CMMI
CNS
DEB
DMR
DUE
ECCS
IIP
IIS
OCE
OCI
OISE
SES
0 5 10 15 20 25 30 35 40
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Sample of Organizational Challenges
•Organizing transdisciplinary teams▫Learn each others language▫Acculturation: Merging technology and
clinical/behavioral domains•Recognizing innovative ideas
▫Experts are frequently wrong in their prediction▫Few of us like transformative ideas when they see
them for the first time•Finding good problems and focus areas
▫Important health and wellbeing problem▫Contribution to fundamental science
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Sample of Scientific Challenges Ahead•Raw data processing and cleaning
▫Harmonizing▫Synchronizing▫Maintaining data integrity
•Computational Predictive Modeling ▫Relating observable to variables of interest▫Maximizing statistical efficiency▫Modeling individuals
•Analytic issues▫Missing data▫Big data▫Detecting anomalies▫Rapidly changing technology
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Extraction of Knowledge and MeaningHarmonizing/Coherence: Invariant Decisions
Transform
NIT (ICT) Network Layer, Databases, EHR, PHR, XHR
Decisions
Transform Transform Transform
Decisions Decisions Decisions
Heterogeneous Sources/Sensors
Adaptation, Calibration & Fusion
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Gait
Sensors
Multiscale Modeling: From sensors to brain functionshould include behavioral and cognitive factors
• Unobtrusive measurement of gait characteristics
• Model relationship between the sensory inputs and gait characteristics
• Infer sensory-motor, perceptual and cognitive functions
Cognition
Perception
SensoryMotor
Inferenceof Gait Parameters
Cognition
Perception
SensoryMotor
Inferenceof Brain Function
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Missing Data:
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Missing Data: Missing Not at Random
110 120 130 140 150 160 170 180 190154
156
158
160
162
164
166
168
170
172
174
Time [Days]
We
igh
t [lb
]
Subject 2
Philips
HealthBuddy
Weight Monitoring: Congestive Heart Failure Patient
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Modeling Individuals not Populations
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Speed of Dialing [#/second]
Nu
mb
er o
f E
rro
rs
S1 S2 S3 S4
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Take home messages
Healthcare needs a disruptive changeWireless Technology is likely to play a key role but …
•We need to build transdisciplinary teams to focus on key health/wellbeing problems
•There us a need for more/new science•Computational modeling is needed to
▫Connect observable measures to aspects of health▫Predict and detect▫Use data efficiently
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Thank You