SBIR/STTR Research Award
Technology-supported, measurement-based supervision for Motivational Interviewing
Award amount
$146,357Program and phase
SBIR · Phase IAward year
2018Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- LYSSN.IO, INC
- Proposal award date
- 2018-07-15
- Contract end date
- 2018-12-31
- UEI
- WELKD7HZ5GJ9
- Solicitation number
- PA17-302
- Topic code
- NIDA
Research abstract
ProjectSummary Abstract
MillionsofAmericansreceiveevidence basedcounselingforsubstanceuseproblemseachyearMany
evidence basedtreatmentsforsubstanceabusearetalkbasedtherapiessuchasmotivationalinterviewingMIbuttheexistingresearch basedmethodologyforevaluatingcounselingqualityistorecordsessionsand
usehumanratingteamstoevaluatethemHoweverusinghumansastheassessmenttoolviabehavioral
codingisprohibitiveincostandtimecanbeerrorproneandisvirtuallyneverusedintherealworldTechnologyisneededthatcananalyzethespeechpatternsandspokenlanguageofcounselingsessionsprovideautomaticandintuitivequalityscoresandsummarizetheseinactionablefeedbackRapidperformance basedqualitymetricscouldsupporttrainingongoingsupervisionandqualityassurancefor
millionsofevidence basedcounselingsessionsforsubstanceabuseeachyearLyssn ioisastart uptargetingthedevelopmentofimplementation focusedtechnologytosupport
evidence basedcounselingOurgoalistodevelopinnovativehealthtechnologysolutionsthatareobjectivescalableandcostefficientLyssn ioincludesexpertiseinspeechsignalprocessingmachinelearninguser centereddesignsoftwareengineeringandclinicalexpertiseinevidence basedcounselingPrevious
NIH fundedresearchlaidacomputationalfoundationforgeneratingMIqualitymetricsfromspeechand
languagefeaturesinMIsessionsandledtoaprototypeofaclinicalsoftwaresupporttooltheCounselor
ObserverRatingsExpertforMICORE MIThecurrentFast TrackSBIRproposalincludesPhaseIwhichwillfocusonunderstandingclinical
workflowsassessingusabilityandinitialvalidationofmachinelearningofMIfidelitymeasuresintheopioid
treatmentprogramatEvergreenTreatmentServicesETSclinicinSeattleWAPhaseIIwillfocusonrobust
validationofthespeechandlanguagetechnologiesunderlyingtheCORE MItoolanddevelopmentofscalable
supervisionprotocolsthatintegrateCORE MIsupportedfeedbackforcounselorsFinallywewillconducta
quasi experimentalevaluationofCORE MIsupportedsupervisionandtrainingatasecondETSclinicinthe
PugetSoundfocusingonacceptabilityusabilityandadoptiontheimpactonsupervisionimprovedMIfidelity
andpreliminaryevidenceofincreasedclientretentionThesuccessfulexecutionofthisprojectwillbreakthe
relianceonhumanjudgmentforprovidingperformance basedfeedbacktoMIandwillmassivelyexpandthe
capacitytotrainsuperviseandprovidequalityassuranceinMIforsubstanceabuse ProjectNarrative
Mostevidence basedtreatmentsforsubstanceabusearein personpsychotherapyandcounseling
interventionssuchasmotivationalinterviewingTherearecurrentlynomethodsforevaluatingthequalityof
suchcounselinginterventionsintherealworldtosupporttrainingsupervisionandqualityassuranceBuilding
onanexistingprototypeLyssn ioatechnologystart upfocusedonscalableandcost efficient
human centeredtechnologieswillenhanceandevaluateacloud basedHIPAA compliantclinicalsupport
softwaretoolthatusesautomatedspeechrecognitionandmachinelearninginancommunitybasedopioid
replacementclinic
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.
- Voice-based AI to scale evaluation of crisis counseling in 988 rollout
- Voice-based AI to scale evaluation of crisis counseling in 988 rollout
- Enhancing the quality of CBT in community mental health through AI-generated fidelity feedback
- CBTpro: Scaling up CBT for psychosis using simulated patients and spoken language technologies
- ClientBot: A conversational agent that supports skills practice and feedback for Motivational Interviewing for AUD
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Wearable Wireless Respiratory Monitoring System that Detects and Predicts Opioid Induced Respiratory Depression
- Building and testing the Life Enhancement and Advocacy Programming digital training tool (LEAPLink) to better serve people with lived experience of homelessness and substance use disorder
- A digital intervention to decrease self-stigma among pregnant and postpartum women with opioid use disorder
- Development of medication for the treatment of respiratory depression due to opioid (prescribed or illicit) overdose/multidrug (polysubstance) overdose in a hospital or community setting.
- Creation and Validation of the Dose-Opioid-Source Evaluation tool (DOSE) - a Robust Opioid Use Clinical Outcome Assessment for Qualification as an FDA Medical Device Development Tool (MDDT)
Research funding history
10 SBIR/STTR records share this UEI (2018–2024). Reported award amounts total $10,409,021. Reported amounts are not federal obligations.
Phases: Phase II, Phase I
Agencies: Department of Health and Human Services