Lav P Patel

Lav P Patel
University of Kansas Medical Center · Medical Informatics and Enterprise Analytics

Master of Science

About

27
Publications
3,799
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205
Citations
Introduction
lavpatel.com | linkedin.com/in/lav-patel/ | Published 3 papers in high quality jounrals with 4CE. Lead the effort at KUMC for ACT SHRINE node. which allow detailed COVID-19 patients’ EMR information from 10 Hospitals (Harvard, UCLA, UCSD, UTSW, etc.) and these data get updated almost real time(daily). I took the lead for technical design on this project for KUMC, and delivered working proto-type in a week. I worked hard during the pandemic to deliver the results to the research communiity.
Additional affiliations
August 2020 - present
University of Kansas Medical Center
Position
  • Developer
Description
  • Architected and led building COVID-19 data pipeline at KUMC and connected to 10 Hospitals(eg. Harvard, UCLA, UCSD, UTSW) in a record 7 days which typically takes 1.5 months to implement something like this. Python, Oracle SQL, bash, Java, Jenkins was used. Lead Knowledge Discovery Team and Published 3 papers on COVID-19 with more than 20 National and Internation Hospital consortium (4CE ). Python, R, C++, SQL was used. This was the most rewarding experience.
November 2016 - April 2020
University of Kansas Medical Center
Position
  • Developer
Description
  • Debugged the slow data pipeline of one data source, re-architected that part to improvespeed and flexibility, and it takes 5 minutes to finish instead of 4 hrs. Python, SQL, Jenkins, Bash were used. Debugged department's main Extract Transform and Load (ETL) Process which was taking 28 days to finish, After finding bottlenecks and fixing the issues, it takes 7 days. Python, SQL, Jenkins, Bash were used. https://www.linkedin.com/in/lav-patel/
Education
August 2012 - November 2014
July 2008 - August 2012

Publications

Publications (27)
Preprint
Full-text available
UNSTRUCTURED Coincident with the tsunami of Covid19-related manuscripts, there has been a surge of studies using Real World Data (RWD), including those obtained from electronic health records. Unfortunately, several of these studies have resulted in withdrawn publication because of concerns regarding their soundness and quality. We argue here that...
Preprint
Full-text available
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across 5 countries (www.covidclinical.net). Contributors utilized the Informatics for Integrating Bi...
Article
Full-text available
Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mortality using baseline commonly measured laboratory values and standard demographic and clinical covariates acr...
Article
Full-text available
Objective To assess changes in international mortality rates and laboratory recovery rates during hospitalisation for patients hospitalised with SARS-CoV-2 between the first wave (1 March to 30 June 2020) and the second wave (1 July 2020 to 31 January 2021) of the COVID-19 pandemic. Design, setting and participants This is a retrospective cohort s...
Article
Full-text available
The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patients with COVID-19, 2.3 million control patients without COVID-19 in the inpatient and outpatien...
Preprint
Background In electronic health records, patterns of missing laboratory test results could capture patients’ course of disease as well as reflect clinician’s concerns or worries for possible conditions. These patterns are often understudied and overlooked. This study aims to characterize the patterns of missingness among laboratory data collected a...
Preprint
Purpose In young adults (18 to 49 years old), investigation of the acute respiratory distress syndrome (ARDS) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been limited. We evaluated the risk factors and outcomes of ARDS following infection with SARS-CoV-2 in a young adult population. Methods A retrospective coho...
Article
Background Acute kidney injury (AKI) is a common life-threatening clinical syndrome in hospitalized patients. Advances in machine learning has demonstrated success in AKI risk prediction using electronic health records (EHRs). However, to prevent AKI, it is critical to identify clinically modifiable factors and understand their impact at different...
Article
Full-text available
SARS-CoV-2 accesses host cells via angiotensin-converting enzyme-2, which is also affected by commonly used angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs), raising concerns that ACEI or ARB exposure may portend differential COVID-19 outcomes. In parallel cohort studies of outpatient and inpatient COVID-19-...
Preprint
Objective For multi-center heterogeneous Real-World Data (RWD) with time-to-event outcomes and high-dimensional features, we propose the SurvMaximin algorithm to estimate Cox model feature coefficients for a target population by borrowing summary information from a set of health care centers without sharing patient-level information. Materials and...
Article
Full-text available
Objective The Greater Plains Collaborative (GPC) and other PCORnet Clinical Data Research Networks capture healthcare utilization within their health systems. Here, we describe a reusable environment (GPC Reusable Observable Unified Study Environment [GROUSE]) that integrates hospital and electronic health records (EHRs) data with state-wide Medica...
Preprint
UNSTRUCTURED Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study In “International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study” (J Med Internet Res 2021 Oct 11;23(10):e31400. doi: 10.2196/31400),...
Article
Full-text available
Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational populations during early pandemic, we used electronic health records (EHR) from 338 participat...
Article
Full-text available
Background For some SARS-CoV-2 survivors, recovery from the acute phase of the infection has been grueling with lingering effects. Many of the symptoms characterized as the post-acute sequelae of COVID-19 (PASC) could have multiple causes or are similarly seen in non-COVID patients. Accurate identification of PASC phenotypes will be important to gu...
Preprint
BACKGROUND Many countries have experienced two predominant waves of COVID-19-related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and healthcare dynamics of the COVID-19 pandemic. OBJECTIVE In this retros...
Article
Background: Many countries have experienced two predominant waves of COVID-19-related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and healthcare dynamics of the COVID-19 pandemic. Objective: In this re...
Article
Full-text available
Importance Additional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children and youth and inform infection prevention and clinical treatment of pediatric patients. Objective To describe international hospitalization trends and key epidemiological and clinical features of children and youth with...
Article
Full-text available
Question What are international trends in hospitalizations for children and youth with SARS-CoV-2, and what are the epidemiological and clinical features of these patients? Findings This cohort study of 671 children and youth found discrete surges in hospitalizations with variable trends and timing across countries. Common complications included ca...
Article
Full-text available
Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge in seamless use of multisite EHRs for COVID-19 research. We developed a COVID-19 application ontology in the national Accrual to Clinical...
Article
Full-text available
Unstructured: Coincident with the tsunami of COVID-19-related publications, there has been a surge of studies using real-world data, including those obtained from the electronic health record (EHR). Unfortunately, several of these high-profile publications were retracted because of concerns regarding the soundness and quality of the studies and th...
Preprint
Full-text available
OBJECTIVE: Neurological complications can worsen outcomes in COVID-19. We defined the prevalence of a wide range of neurological conditions among patients hospitalized with COVID-19 in geographically diverse multinational populations. METHODS: Using electronic health record (EHR) data from 348 participating hospitals across 6 countries and 3 contin...
Preprint
Full-text available
Objectives To perform an international comparison of the trajectory of laboratory values among hospitalized patients with COVID-19 who develop severe disease and identify optimal timing of laboratory value collection to predict severity across hospitals and regions. Design Retrospective cohort study. Setting The Consortium for Clinical Characteri...
Article
Full-text available
We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries (www.covidclinical.net). Contributors utilized the Informatics for Integrating...
Conference Paper
Full-text available
To describe a unique method called Personalized, Purposeful, Predictable and Precise Fibrosis (4PF) focusing on decreasing haemorrhoid vascularity, reducing redundant tissue, and promoting haemorrhoid fixation to the rectal wall. The method is reproducible, has a short learning curve and consistently predictable result and useful in any and all typ...

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Projects (2)
Archived project
Project
Covid-19