FOA Title: 
National Science Foundation - National Institutes of Health NSF-NIH Interagency Initiative: Smart and Connected Health
Grant Type: 
NOT-OD-18-149
Primary IC: 
NIH
Release Date: 
Mar 08 2018
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
National Science Foundation - National Institutes Health NSF-NIH Interagency Initiative: Smart Connected Health Notice Number: NOT-OD-18-149 Key Dates Release Date: March 9, 2018 Related Announcements NOT-NS-18-052 NOT-AT-18-012 - April 13, 2018 Issued Office Behavioral Social Sciences Research OBSSR) National Cancer Institute NCI) National Human Genome Research Institute NHGRI) National Institute Aging NIA) National Institute Alcohol Abuse Alcoholism NIAAA) National Institute Biomedical Imaging Bioengineering NIBIB) National Institute Mental Health NIMH) National Institute Neurological Disorders Stroke NINDS) National Library Medicine NLM) Purpose Institutes Centers the National Institutes Health NIH) the National Science Foundation NSF) identified Smart Connected Health a program focus. The purpose this interagency program solicitation the development technologies, analytics models supporting next generation health medical research through high-risk, high-reward advances computer information science, engineering technology, behavior, cognition, robotics imaging. Collaborations between academic, industry, other organizations strongly encouraged establish better linkages between fundamental science, medicine healthcare practice technology development, deployment use. solicitation aligned previous reports the President's Council Advisors Science Technology others calling new partnerships facilitate major changes health medicine, well healthcare delivery is aimed the fundamental research enable changes. Realizing promise disruptive transformation health, medicine healthcare require well-coordinated, multi-disciplinary approaches draw the computer information sciences, engineering, social, behavioral, economic sciences, medical health research biology. following be considered response NSF's solicitation NSF-18-541: Integrative Projects: Multi-disciplinary teams spanning 2 4 years may receive NIH support 300,000 total costs per year. Scientists engineers all disciplines encouraged participate. Application submission through National Science Foundation via solicitation NSF-18-541. Following jointly conducted initial peer review these applications, likely NIH awardees applications be forwarded NIH processing. general interests the participating NIH Institute organizations outlined below: National Cancer Institute NCI) NCI interested funding research centered the smart connected health technologies facilitate efficient effective collection, flow, use health information improve cancer outcomes. governing documents especially relevant guide research endeavors the area. First a report produced the President’s Cancer Panel, legislatively mandated oversight committee, titled: “Improving Cancer-Related Outcomes Connected Health: Report the President the United States the President’s Cancer Panel.” Second the NCI’s Cancer Moonshot SM Blue Ribbon Panel Report priorities accomplishing five years might otherwise taken ten. From two reports, following priorities relevant the SCH initiative: Improve understanding how connected health technologies optimize team performance through better support distributed cognition between members the patient’s virtual care team inclusive the patient patient’s caregivers) co-producers positive health outcomes across continuum care prevention, early detection, treatment, survivorship, end-of-life. Identify strategies enhance individuals’ engagement their healthcare through smart connected support structures, including ability manage symptoms adverse events during treatment. Develop approaches using data connected devices – including biosensors, home monitoring devices, smartphones, wearable technologies – meaningful ways enhance clinical care to support faster cures.  Create building blocks a national data ecosystem sharing analyzing cancer data that researchers, clinicians, patients be able contribute data benefit actionable data analytics.  Develop intelligent data mining tools predicting patients’ responses treatment based a retrospective analysis patients’ clinical, specimen, genomic data. Utilize health information technologies enhance cancer surveillance the benefit local, regional, national efforts improve health outcomes equitably across populations. National Human Genome Research Institute NHGRI) NHGRI encourages research related genomic medicine. Such research include, not limited to: methods algorithms aggregation multi-scale clinical genomic data a patient electronic health records EHRs) personal health records PHRs) decision support tools facilitate optimized patient-centered, evidence-based decisions utilizing genomic data human-computer interfaces clinician, patient, family access genomic information EHRs PHRs. National Institute Aging NIA) NIA specifically interested applications improve quality life health individuals Alzheimer's Disease AD) Alzheimer's Disease Related Dementia ADRD) and/or family care providers, a special focus diverse underrepresented populations, including older adults living alone. Additionally, efforts address the SCH program might begin address prediction cognitive other decline everyday function may predict detect earliest indicators dementia be interest. National Institute Alcohol Abuse Alcoholism NIAAA) technology e.g. EMA, brain imaging, biosensors) innovative statistical methods e.g., machine learning, systems science dynamic models) appropriate analysis big data” i.e., time intensive, multisource data) inform our understanding mechanisms underlying problematic alcohol use. Development improvement a portable, affordable, inconspicuous, user-friendly device/technique enhance medication adherence. Develop, improve, validate ecological momentary assessment EMA) methods capturing, integrating analyzing real-time multi-source data related alcohol including sensor integration modeling behavioral processes. Devise novel methods e.g., Web-mining software social networking sites) capture social network information among groups risk alcohol disorder high-risk drinking. National Institute Biomedical Imaging Bioengineering NIBIB) mission NIBIB to improve health leading development accelerating application biomedical technologies. NIBIB broad interests the development biomedical technologies improve human health address health disparities. Program areas particular relevance include: health information technologies, telehealth, mHealth, point-of-care technologies, rehabilitation engineering, robotics, next generation predictive models. Institute interested the development novel technologies in advances enable effective utilization new existing technologies. National Institute Neurological Disorders Stroke NINDS) Within goals this FOA, NINDS particularly interested research advances technologies systems the potential decrease burden neurological disorders stroke. Examples areas interest include development validation invasive non-invasive devices, diagnostic/monitoring tools, advanced imaging techniques, computational models, tissue engineering, other innovative methods. National Library Medicine NLM) NLM interested the development technologies, analytics models utilize novel informatics data science approaches help individuals gather, manage use data information their personal health. bring benefits big data research consumers patients, new biomedical informatics data science approaches needed, shaped meet needs consumers patients, whose health literacy, language skills, technical sophistication, education cultural traditions affect they find, understand use personal health information. Novel data science approaches needed help individuals every step, harvesting storing using data information a personal health library. approaches should support FAIR Findable, Accessible, Interoperable, Reusable) principles data management. National Institute Mental Health NIMH) NIMH interested supporting development novel technologies improve understanding treatment mental illness. NIMH encourages research consistent the NAMHC workgroup report Opportunities Challenges Developing Information Technologies Behavioral Social Science Clinical Research” improve early detection mental illness improve access, continuity, quality, equity, value care. NIMH priorities include: Deep phenotyping through development technologies capture analyze fine-grained, multimodal data individuals mental disorders healthy controls, the purpose identifying novel biological behavioral patterns can 1) add our understanding specific mental health constructs domains function; 2) reveal causal links between environmental factors mental functions; 3) uncover developmental trajectories; (4) better predict outcomes; 5) improve specificity timeliness clinical interventions. Technologies interest NIMH include, are limited to: Sensors tailored infer subjective mental states e.g. mood, thought process, risk self-harm, abnormal perceptions) objectively observable behaviors e.g. speech, movement, social interactions). Sensors adapted monitor mental health related outcomes across lifespan, special populations, within diverse settings e.g. young children, geriatric populations, nonverbal individuals, assisted living environments). Platforms the delivery nonpharmacological interventions e.g. cognitive behavioral, psychosocial, stimulation-based) real-world settings. Technology allowing simultaneous, temporally synchronized neurophysiology measurements quantification behavior, high spatial temporal precision, using either invasive noninvasive methods, toward long-term goal closing loop between real-time behavioral measurements delivery targeted interventions real-world settings. Sensors measure outcomes mental health interventions, including demonstrations sensitivity change correspondence conventional clinical assessments. Technologies targeting improvements mental health care delivery systems, including: Methods harmonize analyze electronic health record EHR) data across multiple systems, especially low base-rate events/conditions are difficult identify, treat, and/or manage e.g., suicide). Application big data’ analytics and/or algorithm development EHRs inform real-time clinical decision making measurement-based care associated the delivery mental health services. Technology platforms include real-time of disease registries, measurement-based care, feedback systems, quality improvement processes part a continuously learning healthcare system. Research improve designs, measures, statistical approaches support testing system improvement efforts, including information communication technologies. Technology platforms can utilized across range systems e.g., primary care, schools, criminal justice system, child welfare agencies) optimize delivery effective mental health interventions. Development innovative technologies facilitate adoption, implementation, sustainability, scalability best practices, conversely, technologies de-implement low value mental health services. Inquiries Please direct inquiries to: Brad Hesse, PhD National Cancer Institute NCI) Telephone: 240-276-6721 Email: hesseb@mail.nih.gov Anastasia L. Wise, PhD National Human Genome Research Institute NHGRI) Telephone: 301-480-3517 Email: anastasia.wise@nih.gov Partha Bhattacharyya, PhD National Institute Aging NIA) Telephone: 301-496-3136  Email: bhattacharyyap@mail.nih.gov Anita Bechtholt, PhD National Institute Alcohol Abuse Alcoholism NIAAA) Telephone: 301-443-9334 Email: anita.bechtholt@nih.gov Tiffani Bailey Lash, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-451-4778 Email: baileylasht@mail.nih.gov Margaret Grabb, PhD National Institute Mental Health NIMH) Telephone: 301-443-3563 Email: mgrabb@mail.nih.gov Adam Haim, PhD National Institute Mental Health NIMH) Telephone: 301-435-3593 Email: haima@mail.nih.gov Nick Langhals, PhD National Institute Neurological Disorders Stroke NINDS) Telephone: 301-496-1447 Email: nick.langhals@nih.gov Hua-Chuan Sim, MD National Library Medicine NLM) Telephone: 301-594-4882 Email: simh@mail.nih.gov