SBIR/STTR Research Award

Patient-level Risk Identifier Models for a Multifactor Opioid Abuse Risk Assessment Strategy

Award identifier dd2ff9ef4ec3e4683e5d364d84c81d52d4d939e93d3a3ad7f63686278041ecb4Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$218,818

Program and phase

SBIR · Phase I

Award year

2019

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
PRINCIPLED STRATEGIES INC.
Proposal award date
2019-08-01
Contract end date
2020-07-31
UEI
L9LGJBR3ZDQ6
Solicitation number
PA18-574
Topic code
NIDA

Research abstract

ABSTRACT For this Phase I projectPrincipled Strategies will develop innovativepatient level models for opioid risk identification and integrate them into the SafeUseNow managed care systeman actionable solution for combating prescription drug abuse that currently operates at the prescriber level onlyIncorporating patient level risk identifier models will strengthen an already powerful and demonstrably effective program and constitutes a critical step in generating a first in classmultifactor risk assessment strategy that is truly holisticUsing a variety of data sourcesadvanced analyticsand multiple empirically validated risk identification modelsthe groundbreaking advancement in SafeUseNow technology will enable healthcare stakeholders to identify combinations of prescriberspatientsand pharmacies whose behaviors may contribute to prescription drug abuseExpanding the capabilities of the system in this way will permit earlier identification of potential high risk patientsenabling new approaches to eliminate high risk prescription activitiesTo achieve these objectivesour Phase I project entails the following AimsRequestreceive and assess Centers for Medicare andampMedicaid ServicesCMSanalytic datasetSupplement CMS datasets with alternatively sourced descriptive data for dimension tablesBuild national patient level risk identification models for all outcomes of interestSuccessful completion of this Phase I project will yield one or more patient level opioid risk assessment of models that meet target performance levelse gsensitivityspecificitypositive prediction valueThis will enable Phase II research and development to incorporate regional and state level datasetsdetermine the preferred scale of implementation for productionlocal vsnationaland evaluate risk identificationwhich is expected to be significantly improvedThe completed next generation SafeUseNow prototypewith its combination of prescriberand patient level risk modelswill then be ready for pilot studies to demonstrate the improved capacity of the managed care system to eliminate excessive and higher risk prescription activityultimately reducing opioid useopioid overdosesoverdose related mortalityand the prevalence of opioid use disorder Principled Strategyandapos s comprehensive risk assessment tool for opioids will offer a multifaceted and holistic solution for insurance companiesnetworksand state and local governments to identify various combinations of prescriberspatientsand pharmacies whose behaviors may contribute to prescription drug abuse

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.