Peer Reviewed Research

ABOUT THIS RESEARCH

Cognome's published research spans seven domains, all grounded in data generated inside real health system environments. The largest body of work covers perioperative medicine and surgical outcomes — machine learning models for predicting case cancellations, prolonged PACU stays, postoperative respiratory failure, and ASA score classification — work that directly informs the clinical decision support tools at the core of Cognome's platform.

A substantial portion addresses COVID-19 and infectious disease outcomes from the Montefiore Health System's experience in the Bronx, one of the hardest-hit healthcare environments in the country. More recent work covers oncology AI decision support, pediatric infection prevention, and a fast-growing set of AI & machine learning papers — including sepsis prediction and clinical NLP work co-authored by the Cognome engineering team itself, not just Dr. Mirhaji.

Two threads run underneath all of it: health informatics & data platforms — the OMOP/OHDSI infrastructure work that underpins Cognome I/O and Cognome Search — and the foundational public health surveillance research from the team's earliest years in Houston, which is where this all started.

2026Apr

Target Trial Emulation of Vaccine Effectiveness in 5- to 17-Year-Olds with Prior SARS-CoV-2 Infection

Yuqing Lei, Jiajie Chen, Qiong Wu, Ting Zhou, ... Parsa Mirhaji, ... Yong Chen, et al. — RECOVER Initiative

Nature Communications

2025Oct

Symposium Poster Automated OMOP Concept Mapping Using Multi-Agent Large Language Models and Graph-Enhanced Semantic Retrieval

Adil Ahmed, Selvin Soby, Boudewijn Aasman, Parsa Mirhaji

OHDSI 2025 Global Symposium

2025Oct

Symposium Poster Advancing Learning Health Systems Through Integrated Machine Learning

Boudewijn Aasman, Selvin Soby, Adil Ahmed, Chandra Nelapatla, Manuel Wahle, Parsa Mirhaji

OHDSI 2025 Global Symposium

2025Sep

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science

Betina Idnay, Zihan Xu, William G. Adams, ... Parsa Mirhaji, ... Hua Xu, Jiang Bian, et al.

npj Health Systems

2025Jul

Development of Machine Learning Models to Predict Tumor Endoprosthesis Survival

Barlas Goker, Andrew Brook, Ranxin Zhang, Boudewijn Aasman, Jichuan Wang, Alexander Ferrena, Parsa Mirhaji, et al.

Journal of Surgical Oncology

2024Sep

Development of a Natural Language Processing Algorithm for the Detection of Spinal Metastasis Based on MRI Reports

Evan Mostafa, Aaron Hui, Boudewijn Aasman, Kamlesh Chowdary, ... Parsa Mirhaji

North American Spine Society Journal

2024Feb

Early Prediction of Onset of Sepsis in Clinical Setting

Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu, Boudewijn Aasman, Shweta Garg, Adil Ahmed, Silvie Colman, Meena Arunachalam, Sudhir Kulkarni, Parsa Mirhaji

arXiv preprint

2023Dec

Development and Validation of an Instrument to Predict Prolonged Length of Stay in the Postanesthesia Care Unit Following Ambulatory Surgery

Samuel Rupp, Elena Ahrens, Maira I. Rudolph, Omid Azimaraghi, ... Parsa Mirhaji, ... Karuna Wongtangman

Canadian Journal of Anaesthesia

2023Nov

Development of an Automated, General-Purpose Prediction Tool for Postoperative Respiratory Failure Using Machine Learning

Michael E. Kiyatkin, Boudewijn Aasman, Melissa J. Fazzari, Maíra I. Rudolph, Marcos F. Vidal Melo, Matthias Eikermann, Michelle N. Gong

Journal of Clinical Anesthesia

2023Oct

Long-Term Outcomes of COVID-19 Survivors with Hospital AKI: Association with Time to Recovery from AKI

Justin Y. Lu, Montek S. Boparai, Caroline Shi, ... Parsa Mirhaji, Molly C. Fisher, Tim Q. Duong

Nephrology Dialysis Transplantation

2023Oct

Symposium Poster Using a Continuous Quality Improvement (CQI) Approach for Gap Analysis of OHDSI/ATLAS as an Enterprise Self-Service Analytics Platform

Selvin Soby, Pavel Goriacko, Jimmy John, Pavan Parimi, Erin M. Henninger, Parsa Mirhaji

OHDSI 2023 Global Symposium

2023Oct

Symposium Poster Using OMOP-CDM to Develop Dynamic Disease Registries and Analytic Data Enclaves to Share and Use Real-World Evidence

Erin M. Henninger, Selvin Soby, Manuel Wahle, Boudewijn Aasman, Pavel Goriacko, Chandra Nelapatla, Reetam Nath, Parsa Mirhaji

OHDSI 2023 Global Symposium

2023Sep

Association of Reintubation and Hospital Costs and Its Modification by Postoperative Surveillance

Maíra I. Rudolph, Omid Azimaraghi, Elie Salloum, Lillian J. Wachtendorf, Ahmad Suleiman, Thomas Kammerer, Simon T. Schaefer, Matthias Eikermann, Michael E. Kiyatkin

Journal of Clinical Anesthesia

2023Sep

Long Short-Term Memory Model Identifies ARDS and In-Hospital Mortality in Both Non-COVID-19 and COVID-19 Cohort

Jen Ting Chen, Rahil Mehrizi, Boudewijn Aasman, Michelle Ng Gong, Parsa Mirhaji

BMJ Health & Care Informatics

2023Sep

Incidence, Characteristics, Risk Factors and Outcomes of Diabetic Ketoacidosis in COVID-19 Patients

Kevin Dell’Aquila, Jeylin Lee, Stephen H. Wang, ... Parsa Mirhaji, Wei Hou, Kevan C. Herold, Tim Q. Duong

Diabetes, Obesity and Metabolism

2023Aug

Development and Validation of a Machine Learning ASA-Score to Identify Candidates for Comprehensive Preoperative Screening and Risk Stratification

Karuna Wongtangman, Boudewijn Aasman, Shweta Garg, Annika S. Witt, Arshia A. Harandi, Omid Azimaraghi, Parsa Mirhaji, Selvin Soby, Preeti Anand, Carina P. Himes, Richard V. Smith, Peter Santer, Jeffrey Freda, Matthias Eikermann, Priya Ramaswamy

Journal of Clinical Anesthesia

2023Apr

Characteristics of COVID-19 Patients with Multiorgan Injury Across the Pandemic in a Large Academic Health System in the Bronx, New York

Justin Y. Lu, Alexandra Buczek, Roman Fleysher, ... Chandra Nelapatla, Selvin Soby, Parsa Mirhaji, ... Tim Q. Duong

Heliyon

2023Feb

Comparison of the Effects of Sugammadex Versus Neostigmine for Reversal of Neuromuscular Block on Hospital Costs of Care

Luca J. Wachtendorf, Tim M. Tartler, Elena Ahrens, ... Parsa Mirhaji, ... Matthias Eikermann

British Journal of Anaesthesia

2022Dec

Incidence and Predictors of Case Cancellation Within 24h in Patients Scheduled for Elective Surgical Procedures

Karuna Wongtangman, Omid Azimaraghi, Jeffrey Freda, ... Parsa Mirhaji, ... Matthias Eikermann

Journal of Clinical Anesthesia

2022Nov

OpenFL: The Open Federated Learning Library

Patrick Foley, Micah J. Sheller, Brandon Edwards, ... Parsa Mirhaji, Prashant Shah, Spyridon Bakas

Physics in Medicine & Biology

2022Oct

Symposium Poster Einstein-ATLAS: Leveraging OHDSI/ATLAS and Open-Source Development to Support Translational Research, Data Science, and Regulatory Compliance

Parsa Mirhaji, Selvin Soby, Erin Henninger, Chandra Nelapatla, Manuel Wahle, Boudewijn Aasman, Eran Bellin

OHDSI 2022 Global Symposium

2022Oct

Symposium Poster Data Quality Monitoring, Transparency and Governance: Enterprise Process for Data Quality Stewardship and Governance for Real-World Data

Parsa Mirhaji, Selvin Soby, Erin Henninger, Chandra Nelapatla, Manuel Wahle, Boudewijn Aasman, Eran Bellin

OHDSI 2022 Global Symposium

2022Sep

Entity Event Knowledge Graph for Powerful Health Informatics

Ravi Bajracharya, Richard Wallace, Jans Aasman, Parsa Mirhaji

IEEE ICHI

2022Aug

Pediatric Surgical Site Infection (SSI) Following Ambulatory Surgery: Incidence, Risk Factors and Patient Outcomes

Michael L. Rinke, David G. Bundy, Moonseong Heo, ... Parsa Mirhaji, ... Suzette O. Oyeku

Infection Control & Hospital Epidemiology

2022Jul

Epidemiology of Organ Failure Before and During COVID-19 Pandemic Surge Conditions

James Brogan, Melissa Fazzari, Kaitlyn Philips, Boudewijn Aasman, Parsa Mirhaji, Michelle Ng Gong

American Journal of Critical Care

2022Jun

Improving Adjuvant Liver-Directed Treatment Recommendations for Unresectable Hepatocellular Carcinoma: An AI-Based Decision-Making Tool

Allen Mo, Christian Velten, Julie M. Jiang, ... Parsa Mirhaji, Kei Nemoto, Boudewijn Aasman, ... Rafi Kabarriti

JCO Clinical Cancer Informatics

2021Dec

Central Venous Catheter Salvage in Ambulatory Central Line-Associated Bloodstream Infections

William J.H. Ford, David G. Bundy, Suzette Oyeku, ... Parsa Mirhaji, ... Michael L. Rinke

Pediatrics

2021Nov

Clinical Characteristics of the First and Second COVID-19 Waves in the Bronx, New York: A Retrospective Cohort Study

Wouter S. Hoogenboom, Antoine Pham, Harnadar Anand, ... Selvin Soby, Parsa Mirhaji, Judy Yee, Tim Q. Duong

The Lancet Regional Health — Americas

2021Nov

Individuals with Sickle Cell Disease and Sickle Cell Trait Demonstrate No Increase in Mortality or Critical Illness from COVID-19

Wouter S. Hoogenboom, Roman Fleysher, Selvin Soby, Parsa Mirhaji, William B. Mitchell, Kerry A. Morrone, Deepa Manwani, Tim Q. Duong

Haematologica

2021Jan

Pediatric Ambulatory Central Line-Associated Bloodstream Infections

Michael L. Rinke, Moonseong Heo, Lisa Saiman, ... Parsa Mirhaji, ... Suzette O. Oyeku

Pediatrics

2020Nov

Costs of Ambulatory Pediatric Healthcare-Associated Infections: CLABSIs, CAUTIs, and Surgical Site Infections

Michael L. Rinke, Suzette O. Oyeku, William J.H. Ford, ... Parsa Mirhaji, ... David G. Bundy

Infection Control & Hospital Epidemiology

2020Aug

Pediatric Ambulatory Catheter-Associated Urinary Tract Infections (CAUTIs): Incidence, Risk Factors, and Patient Outcomes

Michael L. Rinke, Suzette O. Oyeku, Moonseong Heo, ... Parsa Mirhaji, ... David G. Bundy

Infection Control & Hospital Epidemiology

2018Oct

Multicenter Derivation and Validation of an Early Warning Score for Acute Respiratory Failure or Death in the Hospital

Mikhail A. Dziadzko, Paul J. Novotny, Jeff Sloan, Ognjen Gajic, Vitaly Herasevich, Parsa Mirhaji, Yiyuan Wu, Michelle Ng Gong

Critical Care

2018Aug

Leveraging Electronic Health Records for Clinical Research

Sudha R. Raman, Lesley H. Curtis, Robert Temple, ... Parsa Mirhaji, ... Adrian F. Hernandez

American Heart Journal

2018Jan

Knowledge Graph Solutions in Healthcare for Improved Clinical Outcomes

Jans Aasman, Parsa Mirhaji

ISWC (P&D/Industry/BlueSky)

2017

The Good, The Bad, and The Ugly of Deploying and Adopting Machine Learning Based Models in Clinical Practice

Yin Aphinyanaphongs, David Holmes, Berkman Sahiner, Parsa Mirhaji, Michael Draugelis

AMIA Annual Symposium

2016Nov

Preserving Temporal Relations in Clinical Data While Maintaining Privacy

George Hripcsak, Parsa Mirhaji, Alexander F.H. Low, Bradley A. Malin

Journal of the American Medical Informatics Association

2016Jun

Early Intervention of Patients at Risk for Acute Respiratory Failure and Prolonged Mechanical Ventilation: Protocol for PROOFCheck

M. N. Gong, L. Schenk, O. Gajic, P. Mirhaji, J. Sloan, Y. Dong, E. Festic, V. Herasevich

BMJ Open

2014

Changing the Research Landscape: The New York City Clinical Data Research Network

Rainu Kaushal, George Hripcsak, Deborah D. Ascheim, ... Parsa Mirhaji, Harold A. Pincus, et al.

Journal of the American Medical Informatics Association

2013

Ontology-Based Entity Extraction of Quality Metrics from Narrative Texts

Sina Madani, Dean F. Sittig, Hua Xu, Parsa Mirhaji, Kim Dunn, Reza Alemy

AMIA Annual Symposium

2012Apr

Coordination and Management of Multicenter Clinical Studies in Trauma: Experience from PROMMTT

Mohammad H. Rahbar, Erin E. Fox, Deborah J. del Junco, ... Parsa Mirhaji, ... John B. Holcomb

Resuscitation

2011

Quality of Care Domain Modeling in Cancer: A Semantic Approach

Sina Madani, Dean F. Sittig, Parsa Mirhaji, Kim Dunn

International Conference on Biomedical Ontology

2009Jun

Public Health Surveillance Meets Translational Informatics: A Desiderata

Parsa Mirhaji

Journal of Laboratory Automation

2009

Ontology Driven Integration Platform for Clinical and Translational Research

Parsa Mirhaji, Min Zhu, Mattew Vagnoni, Elmer V. Bernstam, Jiajie Zhang, Jack W. Smith

BMC Bioinformatics

2009

Biomedical Language Understanding and Extraction (BLUE-Text): A Minimal Syntactic, Semantic Method

Parsa Mirhaji — PhD Dissertation, advised by Jiajie Zhang

UTHealth School of Biomedical Informatics

2008

Semantic Representation of CDC-PHIN Vocabulary Using Simple Knowledge Organization System

Min Zhu, Parsa Mirhaji

AMIA Annual Symposium

2007May

Improving the Public Health Information Network Through Semantic Modeling

Parsa Mirhaji, S. Ward Casscells, Dean Allemang, Robert Coyne

IEEE Intelligent Systems

2006

Information Integration from Heterogeneous Data Sources: A Semantic Web Approach

Narendra Kunapareddy, Parsa Mirhaji, David Richards, S. Ward Casscells

AMIA Annual Symposium

2006

Semantic Approach for Text Understanding of Chief Complaints Data

Parsa Mirhaji, Sean Byrne, Narendra Kunapareddy, S. Ward Casscells

AMIA Annual Symposium

2006

Semantic Web Representation of LOINC: An Ontological Perspective

Arunkumar Srinivasan, Narendra Kunapareddy, Parsa Mirhaji, S. Ward Casscells

AMIA Annual Symposium

2006

Services Oriented Architectures and Rapid Deployment of Ad-Hoc Health Surveillance Systems: Lessons from Katrina Relief Efforts

Parsa Mirhaji, S. Ward Casscells, Arunkumar Srinivasan, Narendra Kunapareddy, Sean Byrne, David Mark Richards, Raouf Arafat

AMIA Annual Symposium

2005

A Web Services Architecture for UMLS Knowledge Sources

Parsa Mirhaji, Narendra Kunapareddy, Yanko Michea, Arunkumar Srinivasan

AMIA Annual Symposium

2005

Information Visualization for Quality Control in Health Data Exchange Platforms

Narendra Kunapareddy, Parsa Mirhaji, Jiajie Zhang, Yanko Michea, Arunkumar Srinivasan

AMIA Annual Symposium

2005

Situational Awareness in Public Health Preparedness Settings

Parsa Mirhaji, Yanko F. Michea, Jiajie Zhang, Samuel W. Casscells

SPIE Defense, Security & Sensing

2005

Houston Biosecurity: Building a National Model

Parsa Mirhaji, Yanko F. Michea, Jiajie Zhang, Samuel W. Casscells

SPIE Defense, Security & Sensing

2004

Knowledge Based Public Health Situation Awareness

Parsa Mirhaji, Jiajie Zhang, Arunkumar Srinivasan, Rachel L. Richesson, Jack W. Smith

Conference paper

2004

Public Health Situation Awareness, Towards a Semantic Approach

Parsa Mirhaji, Rachel L. Richesson, James P. Turley, Jiajie Zhang, Jack W. Smith

SPIE Defense, Security & Sensing

2003Jul

Influenza as a Bioweapon

Mohammad Madjid, Scott Lillibridge, Parsa Mirhaji, Ward Casscells

Journal of the Royal Society of Medicine

2003

Informatics Critical to Public Health Surveillance

Parsa Mirhaji, Jiajie Zhang, Jack W. Smith, Mohammad Madjid, Samuel W. Casscells, Scott R. Lillibridge

SPIE Defense, Security & Sensing

2003

Preparing Houston: Lessons Learned, Future Directions

Mohammad Madjid, Parsa Mirhaji, Scott Lillibridge, Ward Casscells

SPIE Defense, Security & Sensing

Two decades of peer-reviewed research

From inside the Clinic

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