← Leaderboards
Nicole Gray Weiskopf
Oregon Health & Science University
$2,359,293
Attributed
$2,359,293
Total exposure
5
Grants
5
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. They are the sole PI on all grants (the two match).
Funding over time
peak $494.7K · FY2017–25$500K$375K$250K$125K$0
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,359,293 · 5
By mechanism
R01$1,341,995 · 2
R21$555,170 · 2
K01$462,128 · 1
Top collaborators
No co-investigators on record.
Most similar at Oregon Health & Science University
Same institution · by research overlap
- Miguel Marino$1,927,391
- Somnath Saha$3,186,905
- Michelle Hribar$4,058,646
- Seshadri Balaji$429,704
- Lars Grosse-Wortmann$429,704
Others in their field
Other Emerging Leaders on “Electronic Health Record”
- Martha Hering · Westat, Inc.$57,098,843
- Olwen Hahn · Brigham And Women'S Hospital$23,691,312
- Scott Fry$21,470,000
- Anthony Philippakis · University Of California Santa Cruz$21,193,238
- Joshua K Lin · Brigham And Women'S Hospital$16,782,382
- Bradley G Hammill · Duke University$15,773,864
Research focus
Electronic Health RecordPatient CareCaringResourcesProviderHealthcareLeadMethodologyData QualityPerformanceHealth Care DeliveryClinical DataHealth SciencesPoint Of CareEnsureEvaluationOregonData SetClinical PredictorsDocumentationAffectClinical ResearchManualsStructure
Grant awards (10)
Health equity and the impacts of EHR data bias associated with social determinants$330,154
R01 · FY2025 · LM · contact PI
Health equity and the impacts of EHR data bias associated with social determinants$329,175
R01 · FY2024 · LM · contact PI
Health equity and the impacts of EHR data bias associated with social determinants$355,416
R01 · FY2023 · LM · contact PI
Operationalizing Machine Learning and Discrete Event Simulation Models to Improve Clinic Efficiency$327,250
R01 · FY2022 · LM · contact PI
Identifying and understanding drivers of selection bias and information bias in clinical COVID-19 data$167,475
R21 · FY2022 · LM · contact PI
Identifying and understanding drivers of selection bias and information bias in clinical COVID-19 data$200,970
R21 · FY2021 · LM · contact PI
Improving Quality of Electronic Health Record Ophthalmic Data for Big Data Analytics$186,725
R21 · FY2021 · LM · contact PI
Measuring and improving data quality for clinical quality measure reliability$151,125
K01 · FY2019 · LM · contact PI
Measuring and improving data quality for clinical quality measure reliability$168,294
K01 · FY2018 · LM · contact PI
Measuring and improving data quality for clinical quality measure reliability$142,709
K01 · FY2017 · LM · contact PI