CritCOVIDView: A Critical Care Visualization Tool for COVID-19

Guest post by Dr. Todd Brothers, University of Rhode Island

This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program.

The main goal of this project was to develop a cutting-edge tool, CritCOVIDView, for bedside clinicians interpreting individualized patient data through the development of an interactive dashboard. First, the team needed to develop a data mining algorithm to understand the prescribed medication patterns and analyze patient treatment modality complexities prior to and during the COVID-19 crisis. The team developed a custom association rule mining algorithm that efficiently discovered associations among the prescribed medications given the health status of critically ill patients. Stratified analysis was conducted by patient gender, race and ethnicity, and comorbidities.

Next, the team developed an interactive critical care dashboard to visualize prescribed medication patterns, laboratory results, and vital signs to facilitate prompt decision making. We developed a real-time interactive dashboard using an R-Shiny platform.

Dr. Abdullah Al-Mamun, PhD., the former (PI) on this project, is an Assistant Professor in the Department of Pharmaceutical Systems and Policy in the School of Pharmacy at West Virginia University. He was an essential member of the research team providing support and execution of the data science implementation, analysis, and assessment for the project. 

Many students were involved in the development and execution of this award, including:
D. Sabatino, a doctoral candidate (Pharm D) data acquisition; W. Cao, doctoral candidate (PhD), data curation; J. Strock, doctoral candidate (PhD) data curation, data science methods, and analysis; Allie Lindo, doctoral candidate (Pharm D) data curation; James Farrell, doctoral candidate (PharmD) data curation; and Martina Boda, doctoral candidate (PharmD) data curation

Our project team acquired a robust electronic health data set from Roger Williams Medical Center containing demographics, vital signs, laboratory indices, medication use, treatment modalities (e.g. mechanical ventilation). The data science methods which supported this project were logistic and Cox regression(s), survival, and predictive modeling.

This seed grant will further support the development of an NIH grant to NIDDK [PAR-20-140], “Catalytic Tool and Technology Development in Kidney, Urologic, and Hematologic Diseases”.

Several peer-reviewed publications and poster presentations were developed as a result of this project.

– Brothers TN, Strock J, LeMasters TJ, Pawasauskas J, Reed RC, Al-Mamun MA. Survival and recovery modeling of acute kidney injury in critically ill adults. SAGE Open Medicine. 2022 May;10:20503121221099359.
– Brothers T, Al-Mamun M. Clinical Characteristics and Outcomes of Acute Kidney Injury in Critically Ill Adults. Critical Care Medicine. 2022 Jan 1;50(1):662.
– Brothers T, Strock J, Al-Mamun M. CO62 Evaluating the Clinical Characteristics of Acute Kidney Injury in the ICU Setting. Value in Health. 2022 Jul 1;25(7):S315.
– Al-Mamun M, Strock J, Brothers T. CO54 Medication Regimen Complexity in the Critical Care Unit: Association with Length of Stay, Need for Invasive Mechanical Ventilation, and ICU Mortality. Value in Health. 2022 Jul 1;25(7):S314.
– Predicting Inpatient Mortality Using Medication Regimen Complexity Score for Critically Ill Adult Patients. Brothers T, Strock J, Cao W, Sabatino D, Sikora-Newsome A, Al-Mamun M., ACCP Virtual Symposium

Poster presentations:
– “Evaluation of Seizure-Lowering Medication Use in the Intensive Care Unit Setting”, Boda M, Brothers T, ASHP Midyear Conference, Virtual
– “Evaluation of Neuromuscular Blocking Agents in Patients with COVID-19 Infection”, Lindo A, Brothers T, ASHP Midyear Conference, Virtual
– “Correlation of Severity of Acute Kidney Injury and Anti-infective Use in the Critical Care Setting”, Farrell J, Brothers T, ASHP Midyear Conference, Virtual

Lead PI: Todd Brothers (University of Rhode Island)

Dr. Todd Brothers, a graduate of the Massachusetts College of Pharmacy and Health Sciences (MCPHS – Boston), is a Clinical Assistant Professor of Pharmacy Practice in the College of Pharmacy at the University of Rhode Island and is a board-certified clinical pharmacist, specializing in pharmacotherapy, pharmacogenomics, and critical care medicine. His professional experience has ranged from ambulatory and community based care to his current position in academia with an acute care focus.

Didactically he delivers content in the Doctor of Pharmacy curriculum in the areas of pharmacogenomics, infectious diseases, advanced cardiology, renal, pulmonary, and critical care diseases. His scholarship focuses on the use of artificial intelligence, particularly the clinical application of machine learning algorithms to improve clinical and healthcare quality outcomes.

Dr. Brothers is an active member within the Society of Critical Care Medicine (SCCM), the American College of Clinical Pharmacy (ACCP), and the American Association of Colleges of Pharmacy (AACP). He serves as the Co-Chair to The Executive Office of Health and Human Services, Rhode Island Medicaid Pharmacy and Therapeutics Committee as well as the Faculty advisor to the Mu Chapter of the Pharmacy Leadership Society, Phi Lambda Sigma (PLS).

He maintains a critical care and internal medicine clinical consultation service at Roger Williams Medical Center located in Providence, Rhode Island.