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Jenna Wiens

University Of Michigan At Ann Arbor

$3,682,281
Attributed
$7,894,866
Total exposure
6
Grants
1
Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.

Funding over time

peak $1.8M · FY201625
$2M$1.5M$1M$500K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$5,491,975 · 5
AHRQ$2,402,891 · 1

By mechanism

R01$6,384,192 · 3
T90$740,079 · 1
R90$610,116 · 1
R25$160,479 · 1

Most similar at University Of Michigan At Ann Arbor

Same institution · by research overlap

Others in their field

Top investigators on “Training

Research focus

TrainingPositioning AttributePhysiciansMachine LearningLearningDecision MakingPatient-Focused OutcomesShortness Of BreathHospitalizationImagePneumoniaProspectiveElectronic Health RecordSymptomsClinical Decision SupportAcuteComorbidityDyspneaCongestive Heart FailureEvaluationDiagnosisHealthcareBaseAlgorithms

Grant awards (19)

University of Michigan HEAL PAIN Cohort Program$368,501
T90 · FY2025 · DE
University of Michigan HEAL PAIN Cohort Program$306,848
R90 · FY2025 · DE
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$665,592
R01 · FY2024 · HL
Data-Driven Interventions for Reducing C. difficile Incidence$454,939
R01 · FY2024 · HS
University of Michigan HEAL PAIN Cohort Program$371,578
T90 · FY2024 · DE
University of Michigan HEAL PAIN Cohort Program$303,268
R90 · FY2024 · DE
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$675,275
R01 · FY2023 · HL
Data-Driven Interventions for Reducing C. difficile Incidence$469,089
R01 · FY2023 · HS
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$699,054
R01 · FY2022 · HL
Data-Driven Interventions for Reducing C. difficile Incidence$482,796
R01 · FY2022 · HS
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$301,485
R01 · FY2022 · HL
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$228,618
R01 · FY2022 · LM · contact PI
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$705,334
R01 · FY2021 · HL
Data-Driven Interventions for Reducing C. difficile Incidence$496,067
R01 · FY2021 · HS
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$232,216
R01 · FY2021 · LM · contact PI
Data-Driven Interventions for Reducing C. difficile Incidence$500,000
R01 · FY2020 · HS
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$235,205
R01 · FY2020 · LM · contact PI
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$238,522
R01 · FY2019 · LM · contact PI
Transforming Analytical Learning in the Era of Big Data$160,479
R25 · FY2016 · EB