SBIR/STTR Research Award

Ecosystem for credentialing and supporting a bilingual provider workforce

Award identifier 3c0f957b77ef4d0e414c2b2faae5fbd203637878c8a2ea9687363ee0a211959dAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Transcendent International, LLC
Proposal award date
2016-08-10
Contract end date
2017-01-31
UEI
V5UPVWD193C7
Solicitation number
PA15-269
Topic code
102

Research abstract

Limited English proficient LEP patients who struggle to understand their care providers report difficulty navigating both administrative and clinical procedures leading to poorer outcomes than their English proficient counterparts Despite numerous federal and state mandates requiring adequate language assistance healthcare organizations have had limited success in implementing appropriate services Facing a shortage of certified medical interpreters hospitals frequently utilize ad hoc or dual role interpreters many of whom are bilingual staff with self reported medical fluency While convenient and sometimes unavoidable such ad hoc interpreters are more likely to make critical translation errors that can potentially lead to preventable clinical complications in fact it has been found that of dual role interpreters are unfit to perform medical interpretation Despite the increasing reliance on personnel with self reported bilingual fluency to deliver critical health information to vulnerable patient populations there is no rigorous and scalable method for assessing bilingual communicative competence in healthcare This deficit not only renders improvements upon language services difficult but also deprives qualified bilingual personnel the due recognition and career advancing credentials they deserve for their skills This Topical Assessment of Language Knowledge TALK initiative aims to deliver a comprehensive support ecosystem for the bilingual healthcare workforce consisting of a medical bilingual proficiency exam a scorer workflow management portal and a searchable directory of credentialed bilingual healthcare personnel Further based on proficiency exam results TALK will offer recommendations for additional language training matched to a test takerandapos s areas of weakness creating a mechanism for continued improvement of their valuable skillset This systematic approach will provide the necessary support for fostering standardization increased transparency and quality assurance in instances of bilingual medical communication The effectiveness of this approach will be evaluated through implementation with administrators healthcare workers assessment test scorers and other pertinent stakeholders Clinical miscommunications experienced between LEP patients and care providers result in compromised care and pose a great financial burden to the hospitals where they interact Directives to provide language services to these patients remain inadequately implemented placing much responsibility on bilingual healthcare workers serving in dual roles whose language proficiency is largely unevaluated To address these challenges this project will develop a comprehensive assessment and supportive ecosystem that facilitates standardization and transparency for this valuable bilingual healthcare workforce ultimately elevating the quality of care for a large segment of underserved patients

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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

Research funding history

52 SBIR/STTR records share this UEI (2004–2025). Reported award amounts total $44,664,658. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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