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Topic 377: Bridging the Guideline Implementation Gap: Clinical Decision Support to Improve Cancer Symptom Management

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 75N91018C00020-0-0-0
Agency Tracking Number: N43CA180020
Amount: $225,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: NCI
Solicitation Number: N/A
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
9444 Waples Street, SAN DIEGO, CA, 92121
DUNS: 963396366
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Rocky Reston
 (858) 509-4949
Business Contact
 Rocky Reston
Phone: (858) 509-4949
Research Institution
Advances in clinical research have yielded many evidence-based guidelines to help clinicians provide the right care for the right patient at the right time; however, studies suggest that nearly half the time, that care does not reach the patient. Clinical decision support (CDS) is an information technology-enabled method to identify missed opportunities and optimize care. This proposal seeks to systematically approach guidelines for cancer symptoms and translate these into computable representations that can be deployed using health IT systems to improve the outcomes of patients affected by cancer. To achieve this aim, first a team of clinical and technical experts will scan existing guidelines and decompose those selected into a set of coded clinical data elements (CIMI models) and work- and data-flows (knowledge artifacts) which describe how the recommended activities could be incorporated into care activities. Next, these clinical models will be automatically transformed into computable artifacts that are machine-readable (FHIR Profiles and Clinical Reasoning Artifacts). These artifacts can then be overlaid into existing IT systems or used as stand-alone applications by providers and patients to evaluate and treat cancer symptoms according to evidence-based guidance that maximizes quality of life and well-being.

* Information listed above is at the time of submission. *

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