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Smart Health (SH)

The Neural Analytics Lucid™ M1 transcranial Doppler Ultrasound System is indicated as an adjunct to the standard clinical practices for measuring and displaying cerebral blood flow velocity within the major conducting arteries and veins of the head and neck. Additionally, the Lucid™ M1 System measures the occurrence of transient emboli signals within the blood stream.

Program director

Jesus Soriano headshot

Jesus Soriano

Pre-submission feedback

Submit an Executive Summary to gauge if a project meets the program's intellectual merit and commercial impact criteria. Please note that responsiveness will likely be limited in the 2 weeks leading up to the solicitation deadline.

Technology topic

Smart Health (SH)

The need for a significant healthcare transformation has been recognized by numerous organizations. The Smart Health subtopics aim to support the early-stage development of novel devices, components, systems, algorithms, networks, applications, or services that will enable the much needed transformation of healthcare from reactive, hospital-centered, and indemnity-based to proactive, person-centered, preventive, and cost-efficient. The SH subtopics are not aimed at supporting clinical trials, the clinical validation of information technologies, or medical devices or studies performed primarily for regulatory purposes. Limited studies with human subjects may be acceptable to the extent that they are performed in support of feasibility, proof-of-concept studies of early-stage technologies. Proposals that request support for clinical studies will be deemed non-compliant with the SBIR/STTR solicitations and may be returned without review.

SH1. Business Models for User-Centered Healthcare

Proposed projects should include transformative business models that are enabled by novel technologies and are designed for the benefit of healthcare providers, consumers, patients and/or their caregivers. Such technology-driven business models will: reduce the cost of healthcare; facilitate the shift of public and private incentives toward patient-centric goals; empower patients and healthy individuals to participate in their own health and treatment, such as educating customers, accessing, and visualizing health data and knowledge; reduce the impact of socio-economic status, gender, and ethnicity in the participation of people in their own health treatment. Overall, these new business models are expected to improve health-related behaviors; improve patient-physician communication, patient engagement, and care coordination. Proposed projects must a) focus on the development of technology that enables such novel business model(s); and b) demonstrate the expected economic benefit of the novel business model in user-centered healthcare.

SH2. Digital Health Information Infrastructure

Proposed projects may include technologies that will enable: interoperable, distributed, federated, and scalable digital infrastructure; languages and tools for effective sharing and use of electronic health record data, data representation for such including semantic metadata, and networked applications that access such data; continuously extensible universal exchange language for current and future health and wellness data originating from diverse sources in multiple formats; data methods for controlling and maintaining data integrity, provenance, security, privacy, and reliability of original as well as aggregated data, providing trustworthy patient identification and authentication and access control protocols, and maintaining sensitivity to the legal, cultural, and ethical issues associated with universally accessible digital health data in the U.S.; or systems methods for measuring and optimizing operations to improve quality and productivity of healthcare delivery systems. New Medical Cyber-physical systems that reduce disparities in the access to high-quality and cost-efficient healthcare are strongly encouraged.

SH3. From Data to Decisions

Proposed projects may include methods and algorithms that: aggregate multi-scale clinical, biomedical, contextual, and environmental data about each patient (e.g., in electronic health records - EHRs, personal health records - PHR, etc.); enable unified and extensible metadata standards; serve as decision support tools to facilitate optimized patient-centered, evidence-based decisions; evaluate the safety, effectiveness, efficiency, and clinical outcomes of mobile health applications; integrate patient information with delivery systems performance and economic models to support operations management decisions; support inferences based on individual or population health data, multiple sources of potentially conflicting information, while complying with applicable policies and preferences; enable the secondary use of health data to support the assisted and automated discovery of reliable knowledge from aggregated population health records and the predictive modeling and simulation of health and disease.

SH4. Interoperability of Health Record Systems, Medical Sensors, Devices and Robotics

Proposed projects may include protocols and interface standards to enable interoperable, temporally synchronized, medical prosthetic and embedded devices and devices for the continuous capture, storage, and transmission of physiological state and environmental data; assistive technology systems and devices for improved health and healthcare that incorporate sensory inputs and computational intelligence ranging from internal and external sensors, wearable prosthetics, and cognitive orthotics to surgical-assist robots and social robots; sensors, analysis tools, and activators needed to assess and limit adverse environmental effects on health and wellbeing; simulation and modeling methods and software tools that aid in the design and evaluation of sophisticated medical devices and how they communicate to medical information systems in the clinic, home, and in and around the person.

SH5. Empowering Individuals and Communities

This subtopic aims to support health communications and informatics innovations that focus on reducing disparities and increasing patient literacy and adherence in the healthcare continuum from prevention, screening and diagnosis to treatment and survivorship. Proposed projects must, without exception, be informed by socio-economic and behavioral principles underlying current disparities in patient participation in healthcare and wellness. Specifically, proposed projects must employ the theories, methods, and analytic techniques of the social, behavioral, economic, and learning sciences in order to commercialize products and services that address the barriers that hinder, and the factors that enhance, our ability to broaden access of individuals and communities to healthcare in the United States.

This subtopic strongly encourages multidisciplinary projects that will develop new quantitative and predictive approaches to empowering patients to participate in their own health and treatment such as custom-educating, accessing and visualizing health data and knowledge; assisting people to participate in their own health treatment by limiting the impact of socio-economic status, gender, ethnicity or education. Successful projects will develop technology solutions to challenges in the management of underserved public health conditions; organizational and service system deficiencies encountered by community healthcare providers; lack of effectiveness in rehabilitation strategies and programs for socio-culturally diverse individuals who have widely varying goals, material and social resources and clinical needs. Non-limiting examples of applications are: chronic disease, mental disease, cognitive and behavioral intervention drawing on a lineage of psychological therapy, domestic violence, substance abuse, or community reintegration for people with psychiatric disabilities. Finally, this subtopic strongly encourages projects that develop novel culture-sensitive, user-tailored and context-aware human-computer interfaces for a variety of tasks including patient, family and caregiver access to electronic health records (EHRs) and personal health records (PHRs).