Explanipedia

Base editing strategies for in vivo correction of two highly recurrent phenylketonuria variants Open

Ishaan Jindal, Thomas R. Campion, Delaney Rutherford, Walsh Quigley, Ping Qü , et al. · 2025

Schizophrenia, Bipolar, or Major Depressive Disorder and Postacute Sequelae of COVID-19 Open

Veer Vekaria, Rohith Kumar Thiruvalluru, Zoe Verzani, Sajjad Abedian, Mark Olfson , et al. · 2025

Importance Given the increased vulnerability to COVID-19 among those with a serious mental illness (SMI), it remains unclear whether these individuals face a higher risk of developing postacute sequelae of SARS-CoV-2 (PASC). Understanding …

Extracting post-acute sequelae of SARS-CoV-2 infection symptoms from clinical notes via hybrid natural language processing Open

Zilong Bai, Zhiliang Xu, Cong Sun, Chengxi Zang, H. Timothy Bunnell , et al. · 2025

Accurately and efficiently diagnosing Post-Acute Sequelae of COVID-19 (PASC) remains challenging due to its myriad symptoms that evolve over long- and variable-time intervals. To address this issue, we developed a hybrid natural language p…

Extracting Post-Acute Sequelae of SARS-CoV-2 Infection Symptoms from Clinical Notes via Hybrid Natural Language Processing Open

Zilong Bai, Zhiliang Xu, Cong Sun, Chengxi Zang, H. Timothy Bunnell , et al. · 2025

Accurately and efficiently diagnosing Post-Acute Sequelae of COVID-19 (PASC) remains challenging due to its myriad symptoms that evolve over long- and variable-time intervals. To address this issue, we developed a hybrid natural language p…

D145. 3D Head Model With AI Pattern Recognition for the Identification of Nerve Pain in Patients With Headache Disorders Open

Guilia Monnink, Merel Hazewinkel, Weishen Pan, Thomas R. Campion, William G. Austen , et al. · 2025

Kidney Function Following COVID-19 in Children and Adolescents Open

Lu Li, Ting Zhou, Yiwen Lu, Jiajie Chen, Yuqing Lei , et al. · 2025

Importance It remains unclear whether children and adolescents with SARS-CoV-2 infection are at heightened risk for long-term kidney complications. Objective To investigate whether SARS-CoV-2 infection is associated with an increased risk …

Pediatric Gastrointestinal Tract Outcomes During the Postacute Phase of COVID-19 Open

Dazheng Zhang, Ronen Stein, Yiwen Lu, Ting Zhou, Yuqing Lei , et al. · 2025

Importance The profile of gastrointestinal (GI) tract outcomes associated with the postacute and chronic phases of COVID-19 in children and adolescents remains unclear. Objective To investigate the risks of GI tract symptoms and disorders …

Environment scan of generative AI infrastructure for clinical and translational science Open

Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson , et al. · 2025

A Method for Enabling Digital Health Technologies in Clinical and Translational Research at an Academic Medical Center. Open

Cindy Y. Chen, Laura Bradford, Melissa A. Epstein, J. Travis Gossey, Mohammad Mansour , et al. · 2025

Federal- and state-level governance as well as local institutional oversight are changing rapidly to address the accelerated growth in the usage of digital health technologies (DHT) -such as apps, wearables, and websites-to enable clinical…

LOINC implementation approaches in academic medical research centers – results from a survey of CTSA sites Open

Rachel Richesson, Thomas R. Campion, Boyd M. Knosp, David A. Hanauer · 2025

Reference standards are vital for harmonizing heterogeneous clinical data for research, but little is known about their implementations or costs. We surveyed NIH Clinical and Translational Science Awards (CTSA) hubs to assess operational d…

Developing and Evaluating Large Language Model–Generated Emergency Medicine Handoff Notes Open

Vince Hartman, Xinyuan Zhang, Ritika Poddar, Matthew McCarty, Alexander Fortenko , et al. · 2024

Importance An emergency medicine (EM) handoff note generated by a large language model (LLM) has the potential to reduce physician documentation burden without compromising the safety of EM-to-inpatient (IP) handoffs. Objective To develop …

DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization Open

John Morris, Thomas R. Campion, Sri Laasya Nutheti, Yifan Peng, Akhil Raj , et al. · 2024

Sharing protected health information (PHI) is critical for furthering biomedical research. Before data can be distributed, practitioners often perform deidentification to remove any PHI contained in the text. Contemporary deidentification …

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science Open

Betina Idnay, Zihan Xu, William G. Adams, Mohammad Adibuzzaman, Nicholas R. Anderson , et al. · 2024

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the Clinical and Translational Science Awa…

Closing the gap between open source and commercial large language models for medical evidence summarization Open

Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay , et al. · 2024

Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency an…

Closing the gap between open-source and commercial large language models for medical evidence summarization Open

Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay , et al. · 2024

Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency an…

Understanding enterprise data warehouses to support clinical and translational research: impact, sustainability, demand management, and accessibility Open

Thomas R. Campion, Catherine K. Craven, David A Dorr, Elmer V. Bernstam, Boyd M. Knosp · 2024

Objectives Healthcare organizations, including Clinical and Translational Science Awards (CTSA) hubs funded by the National Institutes of Health, seek to enable secondary use of electronic health record (EHR) data through an enterprise dat…

Linking Patient Encounters across Primary and Ancillary Electronic Health Record Systems: A Comparison of Two Approaches Open

Marcos A Davila, Evan Sholle, Xiaobo Fuld, Mark L. Israel, Curtis L. Cole , et al. · 2024

Background To achieve scientific goals, researchers often require integration of data from a primary electronic health record (EHR) system and one or more ancillary EHR systems used during the same patient care encounter. Although studies …

Implementation of a commercial federated network of electronic health record data to enable sponsor-initiated clinical trials at an academic medical center Open

Thomas R. Campion, Evan Sholle, Sajjad Abedian, Xiaobo Fuld, Ryan McGregor , et al. · 2023

A method to automate the discharge summary hospital course for neurology patients Open

V. Hartman, Sanika S. Bapat, Mark G. Weiner, Babak B. Navi, Evan Sholle , et al. · 2023

Objective Generation of automated clinical notes has been posited as a strategy to mitigate physician burnout. In particular, an automated narrative summary of a patient’s hospital stay could supplement the hospital course section of the d…

Maturity in enterprise data warehouses for research operations: Analysis of a pilot study Open

Boyd M. Knosp, David A. Dorr, Thomas R. Campion · 2023

Enterprise data warehouses for research (EDW4R) is a critical component of National Institutes of Health Clinical and Translational Science Award (CTSA) hubs. EDW4R operations have unique needs that require specialized skills and collabora…

Comparative Merits of Available Mortality Data Sources for Clinical Research. Open

Evan Sholle, Marcos A Davila, Kristin Kostka, Sajjad Abedian, Marika Cusick , et al. · 2023

Obtaining reliable data on patient mortality is a critical challenge facing observational researchers seeking to conduct studies using real-world data. As these analyses are conducted more broadly using newly-available sources of real-worl…

Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records Open

Marika Cusick, Sumithra Velupillai, Johnny Downs, Thomas R. Campion, Evan Sholle , et al. · 2022

Design and implementation of an integrated data model to support clinical and translational research administration Open

Elizabeth A. Wood, Thomas R. Campion · 2022

Objective Both academic medical centers and biomedical research sponsors need to understand impact of scientific funding to determine value. For the National Institutes of Health (NIH) Clinical and Translational Science Award (CTSA) hubs, …

Research data warehouse best practices: catalyzing national data sharing through informatics innovation Open

Shawn N. Murphy, Shyam Visweswaran, Michael J. Becich, Thomas R. Campion, Boyd M. Knosp , et al. · 2022

Research Patient Data Repositories (RPDRs) have become essential infrastructure for traditional Clinical and Translational Science Award (CTSA) programs and increasingly for a wide range of research consortia and learning health system net…

A Day-to-Day Approach for Automating the Hospital Course Section of the Discharge Summary. Open

Vince Hartman, Thomas R. Campion · 2022

Optimal solutions for abstractive summarization of electronic health record content have yet to be discovered. Although studies have applied state-of-the-art transformers in the clinical domain to radiology reports and information extracti…

An architecture for research computing in health to support clinical and translational investigators with electronic patient data Open

Thomas R. Campion, Evan Sholle, Jyotishman Pathak, Stephen B. Johnson, John P. Leonard , et al. · 2021

Objective Obtaining electronic patient data, especially from electronic health record (EHR) systems, for clinical and translational research is difficult. Multiple research informatics systems exist but navigating the numerous applications…

Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing Open

Boyd M. Knosp, Catherine K. Craven, David A Dorr, Elmer V. Bernstam, Thomas R. Campion · 2021

Objective Among National Institutes of Health Clinical and Translational Science Award (CTSA) hubs, effective approaches for enterprise data warehouses for research (EDW4R) development, maintenance, and sustainability remain unclear. The g…

Automated Extraction of Tumor Staging and Diagnosis Information From Surgical Pathology Reports Open

Sajjad Abedian, Evan Sholle, Prakash Adekkanattu, Marika Cusick, Stephanie E. Weiner , et al. · 2021

PURPOSE Typically stored as unstructured notes, surgical pathology reports contain data elements valuable to cancer research that require labor-intensive manual extraction. Although studies have described natural language processing (NLP) …

Comparing automated vs. manual data collection for COVID-specific medications from electronic health records Open

Andrew Yin, Winston Guo, Evan Sholle, Mangala Rajan, Mark N. Alshak , et al. · 2021

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative Open

Emily Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris , et al. · 2021

Objective In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborat…

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