Ravi B. Parikh
University of Pennsylvania
Machine learningCancerInternal medicineOncologyArtificial intelligenceHealth carePrecision medicineRetrospective cohort studyRandomized controlled trialIntensive care medicinePsychological interventionChemotherapyMEDLINEQuality of life (healthcare)Prostate cancerPopulationPalliative careImmune checkpoint inhibitorsFamily medicineMedicine
Publications 104
#1Eric Li (UPenn: University of Pennsylvania)
#2William J. Ferrell (UPenn: University of Pennsylvania)H-Index: 1
Last. Ravi B. Parikh (UPenn: University of Pennsylvania)H-Index: 15
view all 10 authors...
PURPOSE:Serious Illness Conversations (SICs) are structured conversations between clinicians and patients about prognosis, treatment goals, and end-of-life preferences. Although behavioral interven...
#1Cody E. Cotner (UPenn: University of Pennsylvania)H-Index: 2
#2Mohan Balachandran (UPenn: University of Pennsylvania)H-Index: 2
Last. Lynn M. Schuchter (UPenn: University of Pennsylvania)H-Index: 74
view all 14 authors...
PURPOSEPatients with cancer are at greater risk of developing severe symptoms from COVID-19 than the general population. We developed and tested an automated text-based remote symptom-monitoring pr...
#1Ravi B. ParikhH-Index: 15
#2Eun Jeong Min (Catholic University of Korea)H-Index: 4
Last. Ronac MamtaniH-Index: 17
view all 9 authors...
Importance null Immune checkpoint inhibitors (ICIs) are part of standard of care for patients with many advanced solid tumors. Patients with poor performance status or organ dysfunction are traditionally ineligible to partake in pivotal randomized clinical trials of ICIs. null Objective null To assess ICI use and survival outcomes among patients with advanced cancers who are traditionally trial ineligible based on poor performance status or organ dysfunction. null Design, Setting, and Participan...
#1Eun Jeong Oh (UPenn: University of Pennsylvania)H-Index: 3
PURPOSEMachine learning models developed from electronic health records data have been increasingly used to predict risk of mortality for general oncology patients. But these models may have subopt...
#1Samuel U Takvorian (UPenn: University of Pennsylvania)H-Index: 7
#2Justin E. Bekelman (UPenn: University of Pennsylvania)H-Index: 34
Last. David A. Asch (UPenn: University of Pennsylvania)H-Index: 89
view all 23 authors...
Serious illness conversations (SICs) are an evidence-based approach to eliciting patients’ values, goals, and care preferences that improve patient outcomes. However, most patients with cancer die without a documented SIC. Clinician-directed implementation strategies informed by behavioral economics (“nudges”) that identify high-risk patients have shown promise in increasing SIC documentation among clinicians. It is unknown whether patient-directed nudges that normalize and prime patients toward...
#1Ravi B. Parikh (UPenn: University of Pennsylvania)H-Index: 15
#2Samuel U Takvorian (UPenn: University of Pennsylvania)H-Index: 7
Last. Daniel M. Geynisman (Fox Chase Cancer Center)H-Index: 25
view all 24 authors...
Background null The COVID-19 pandemic has led to delays in patients seeking care for life-threatening conditions; however, its impact on treatment patterns for patients with metastatic cancer is unknown. We assessed the COVID-19 pandemic's impact on time to treatment initiation (TTI) and treatment selection for patients newly diagnosed with metastatic solid cancer. null Methods null We used an electronic health record-derived longitudinal database curated via technology-enabled abstraction to id...
#1Ravi B. ParikhH-Index: 15
#2Joseph J. Gallo (Johns Hopkins University)H-Index: 67
Last. Sumedha Chhatre (UPenn: University of Pennsylvania)H-Index: 20
view all 8 authors...
BACKGROUND Depression is common after a diagnosis of prostate cancer and may contribute to poor outcomes, particularly among African Americans. The authors assessed the incidence and management of depression and its impact on overall mortality among African American and White veterans with localized prostate cancer. METHODS The authors used the Veterans Health Administration Corporate Data Warehouse to identify 40,412 African American and non-Hispanic White men diagnosed with localized prostate ...
#1Ravi B. Parikh (UPenn: University of Pennsylvania)H-Index: 15
#2Kristin A. Linn (UPenn: University of Pennsylvania)H-Index: 17
Last. Amol S. Navathe (UPenn: University of Pennsylvania)H-Index: 17
view all 7 authors...
#2Sumedha ChhatreH-Index: 20
Last. S. Bruce MalkowiczH-Index: 56
view all 4 authors...
INTRODUCTION AND OBJECTIVE:African American men are less likely to receive surgery and but exhibit impaired outcomes, compared to white. Access to care has been associated with racial disparity in ...
#1Samyukta Mullangi (MSK: Memorial Sloan Kettering Cancer Center)H-Index: 9
Last. Ravi B. Parikh (UPenn: University of Pennsylvania)H-Index: 15
view all 3 authors...
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