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Walid F. Gellad
Veterans Health Administration
$4,792,402
Attributed
$4,792,402
Total exposure
6
Grants
6
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 $846.7K · FY2015–25$1M$750K$500K$250K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,750,713 · 1
AHRQ$41,689 · 1
VA$0 · 4
By mechanism
R01$4,750,713 · 1
R13$41,689 · 1
I01$0 · 3
I50$0 · 1
Top collaborators
- Eric T Roberts4 shared
- Leslie R Hausmann3 shared
Most similar at Veterans Health Administration
Same institution · by research overlap
- David E Winchester$0
- Raymond Harris$35,481,055
- Jeffrey Kullgren$3,225,741
- George Wittenberg$2,130,534
- Akbar K Waljee$3,866,174
Others in their field
Top investigators on “Design”
- Lawrence Corey · Fred Hutchinson Cancer Center$736,542,541
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- David Heimbrook · Leidos Biomedical Research, Inc.$460,267,569
- Jeffrey P Krischer · University Of South Florida$427,700,530
- David R. Weir · University Of Michigan At Ann Arbor$385,316,144
Research focus
DesignSafetyOpioidHealth SystemOverdoseProgramsInnovationPrescription OpioidVeteransCaringHigh RiskPreventSubstance Use DisorderPharmaceutical PreparationsPoliciesDoseMilligramDosageHealthcare SystemsLinkReportingPainMedicareProvider
Grant awards (21)
Machine-Learning Prediction and Reducing Overdoses with EHR Nudges (mPROVEN)$688,470
R01 · FY2025 · DA · contact PI
Machine-Learning Prediction and Reducing Overdoses with EHR Nudges (mPROVEN)$158,207
R01 · FY2025 · DA · contact PI
Leveraging a natural experiment to identify the effects of VA community care programs on health care quality, equity, and Veteran experiences$0
I01 · FY2025 · VA · contact PI
Machine-Learning Prediction and Reducing Overdoses with EHR Nudges (mPROVEN)$695,873
R01 · FY2024 · DA · contact PI
Pharmacoequity Conference$41,689
R13 · FY2024 · HS · contact PI
Leveraging a natural experiment to identify the effects of VA community care programs on health care quality, equity, and Veteran experiences$0
I01 · FY2024 · VA · contact PI
Machine-Learning Prediction and Reducing Overdoses with EHR Nudges (mPROVEN)$708,159
R01 · FY2023 · DA · contact PI
Leveraging a natural experiment to identify the effects of VA community care programs on health care quality, equity, and Veteran experiences$0
I01 · FY2023 · VA · contact PI
Machine-Learning Prediction and Reducing Overdoses with EHR Nudges (mPROVEN)$724,739
R01 · FY2022 · DA · contact PI
Leveraging a natural experiment to identify the effects of VA community care programs on health care quality, equity, and Veteran experiences$0
I01 · FY2022 · VA · contact PI
Dual Use of Medications (DUAL) Partnered Evaluation Initiative$0
I50 · FY2021 · VA · contact PI
Safety of Opioid use Among Veterans Receiving Care in Multiple Health Systems$0
I01 · FY2021 · VA · contact PI
STORM Implementation Program Evaluation$0
I01 · FY2020 · VA · contact PI
Using Machine Learning to Predict Problematic Prescription Opioid Use and Opioid Overdose$588,500
R01 · FY2019 · DA · contact PI
Safety of Opioid use Among Veterans Receiving Care in Multiple Health Systems$0
I01 · FY2019 · VA · contact PI
STORM Implementation Program Evaluation$0
I01 · FY2019 · VA · contact PI
Safety of Opioid use Among Veterans Receiving Care in Multiple Health Systems$0
I01 · FY2019 · VA · contact PI
Using Machine Learning to Predict Problematic Prescription Opioid Use and Opioid Overdose$585,626
R01 · FY2018 · DA · contact PI
Using Machine Learning to Predict Problematic Prescription Opioid Use and Opioid Overdose$601,139
R01 · FY2017 · DA · contact PI
STORM Implementation Program Evaluation$0
I01 · FY2017 · VA · contact PI
Safety of Opioid use Among Veterans Receiving Care in Multiple Health Systems$0
I01 · FY2015 · VA · contact PI