Robert M. Cronin

ORCID: 0000-0003-1916-6521
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Hemoglobinopathies and Related Disorders
  • Iron Metabolism and Disorders
  • Mobile Health and mHealth Applications
  • Electronic Health Records Systems
  • Health Literacy and Information Accessibility
  • Food Security and Health in Diverse Populations
  • Adolescent and Pediatric Healthcare
  • Prenatal Screening and Diagnostics
  • Biomedical Text Mining and Ontologies
  • Childhood Cancer Survivors' Quality of Life
  • Palliative Care and End-of-Life Issues
  • HIV/AIDS Research and Interventions
  • Health disparities and outcomes
  • Chronic Disease Management Strategies
  • Heparin-Induced Thrombocytopenia and Thrombosis
  • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Ethics in Clinical Research
  • Platelet Disorders and Treatments
  • Religion, Spirituality, and Psychology
  • Healthcare Systems and Technology
  • Child and Adolescent Health
  • Data Quality and Management
  • Health, Environment, Cognitive Aging
  • Machine Learning in Healthcare
  • Diabetes Management and Education

The Ohio State University
2007-2025

Vanderbilt University
2013-2024

Nationwide Children's Hospital
2023

The Ohio State University Wexner Medical Center
2021-2023

Vanderbilt University Medical Center
2015-2022

Valley Health System
2015

Jessop Hospital
2012

Pediatrics and Genetics
2010

Mayo Clinic
1972

Board of Cooperative Educational Services of Nassau County
1970

Abstract Objective To evaluate the phenotyping performance of three major electronic health record (EHR) components: International Classification Disease (ICD) diagnosis codes, primary notes, and specific medications. Materials Methods We conducted evaluation using de-identified Vanderbilt EHR data. preselected ten diseases: atrial fibrillation, Alzheimer’s disease, breast cancer, gout, human immunodeficiency virus infection, multiple sclerosis, Parkinson’s rheumatoid arthritis, types 1 2...

10.1093/jamia/ocv130 article EN Journal of the American Medical Informatics Association 2015-09-02
Andrea H. Ramirez Lina Sulieman David J. Schlueter Alese E. Halvorson Jun Qian and 95 more Francis Ratsimbazafy Roxana Loperena Kelsey Mayo Melissa Basford Nicole Deflaux Karthik Muthuraman Karthik Natarajan Abel Kho Hua Xu Consuelo H. Wilkins Hoda Anton‐Culver Eric Boerwinkle Mine Cicek Cheryl R. Clark Ellen G. Cohn Lucila Ohno‐Machado Sheri D. Schully Brian K. Ahmedani Maria Argos Robert M. Cronin Christopher J. O’Donnell Mona N. Fouad David B. Goldstein Philip Greenland Scott J. Hebbring Elizabeth W. Karlson Parinda Khatri Bruce R. Korf Jordan W. Smoller Stephen Sodeke John Wilbanks Justin Hentges Stephen Mockrin Chris Lunt Stephanie A. Devaney Kelly A. Gebo Joshua C. Denny Robert J. Carroll David Glazer Paul A. Harris George Hripcsak Anthony Philippakis Dan M. Roden Brian K. Ahmedani Christine D. Cole Johnson Ahsan Habib Donna Antoine‐LaVigne Glendora Singleton Hoda Anton‐Culver Eric J. Topol Katie Baca-Motes Steven R. Steinhubl James B. Wade Mark Begale Praduman Jain Scott Sutherland Beth A. Lewis Bruce R. Korf Melissa Behringer Ali G. Gharavi David B. Goldstein George Hripcsak Louise Bier Eric Boerwinkle Murray H. Brilliant Narayana S. Murali Scott J. Hebbring Dorothy Farrar‐Edwards Elizabeth S. Burnside Marc K. Drezner Amy E. Taylor Veena Channamsetty Wanda Montalvo Yashoda Sharma Carmen Chinea Nancy Piper Jenks Mine Cicek S. N. Thibodeau Beverly Holmes Eric Schlueter Ever Collier Joyce Winkler John Corcoran Nick D’Addezio Martha L. Daviglus Robert A. Winn Consuelo H. Wilkins Dan M. Roden Joshua C. Denny Kim Doheny Debbie A. Nickerson Evan E. Eichler Gail P. Jarvik Gretchen Funk Anthony Philippakis

The

10.1016/j.patter.2022.100570 article EN cc-by-nc-nd Patterns 2022-08-01

To create a computable MEDication Indication resource (MEDI) to support primary and secondary use of electronic medical records (EMRs).

10.1136/amiajnl-2012-001431 article EN cc-by-nc-nd Journal of the American Medical Informatics Association 2013-04-11

Understanding how to identify the social determinants of health from electronic records (EHRs) could provide important insights understand or disease outcomes. We developed a methodology capture 2 rare and severe health, homelessness adverse childhood experiences (ACEs), large EHR repository.We first constructed lexicons ACE phenotypic profiles. employed word2vec lexical associations mine homelessness-related words. Next, using relevance feedback, we refined profiles with iterative searches...

10.1093/jamia/ocx059 article EN Journal of the American Medical Informatics Association 2017-05-10

Objective: Phenotyping algorithms applied to electronic health record (EHR) data enable investigators identify large cohorts for clinical and genomic research. Algorithm development is often iterative, depends on fallible investigator intuition, time- labor-intensive. We developed evaluated 4 types of phenotyping categories EHR information hypertensive individuals controls provide a portable module implementation at other sites. Materials Methods: reviewed the EHRs 631 followed Vanderbilt...

10.1093/jamia/ocw071 article EN Journal of the American Medical Informatics Association 2016-08-07

Abstract To accelerate medical breakthroughs, the All of Us Research Program aims to collect data from over one million participants. This report outlines processes used construct Social Determinants Health (SDOH) survey and presents psychometric characteristics SDOH measures in . A consensus process was select measures, prioritizing concepts validated diverse populations other national cohort surveys. Survey item non-response calculated, Cronbach’s alpha analyze properties scales....

10.1038/s41598-024-57410-6 article EN cc-by Scientific Reports 2024-04-16

Phenome-wide association studies (PheWAS) have demonstrated utility in validating genetic associations derived from traditional as well identifying novel associations. Here we used an electronic health record (EHR)-based PheWAS to explore pleiotropy of variants the fat mass and obesity associated gene (FTO), some which been previously with type 2 diabetes (T2D). We a population 10,487 individuals European ancestry genome-wide genotyping Electronic Medical Records Genomics (eMERGE) Network...

10.3389/fgene.2014.00250 article EN cc-by Frontiers in Genetics 2014-08-05

Objective: Hospital admissions are significant events in the care of individuals with sickle cell disease (SCD) due to associated costs and potential for quality life compromise.Methods: This cross-sectional cohort study evaluated risk factors readmissions between October 2014 March 2016 adults SCD (n = 201) caregivers children 330) at six centres across U.S. Survey items assessed social determinants health (e.g. educational attainment, difficulty paying bills), depressive symptoms, support,...

10.1080/16078454.2018.1549801 article EN Hematology 2018-11-27

The All of Us Research Program is building a national longitudinal cohort and collecting data from multiple information sources (e.g., biospecimens, electronic health records, mobile/wearable technologies) to advance precision medicine. Participant-provided information, collected via surveys, will complement augment these sources. We report the process used develop refine initial three surveys for this program.The survey development included: (1) prioritization domains scientific needs, (2)...

10.1097/ede.0000000000001028 article EN Epidemiology 2019-05-02

Summary Heparin-induced thrombocytopenia (HIT) is an unpredictable, potentially catastrophic adverse effect of heparin treatment resulting from immune response to platelet factor 4 (PF4)/heparin complexes. No genome-wide evaluations have been performed identify potential genetic influences on HIT. Here, we a association study (GWAS) and candidate gene using HIT cases controls identified electronic medical records (EMRs) coupled DNA biobank attempted replicate GWAS associations in independent...

10.1160/th14-08-0670 article EN Thrombosis and Haemostasis 2014-12-11

Patient portal adoption has increased over the last two decades. Most research about patient portals focused on adult populations in primary care and medical specialty settings.We describe initial long-term use by pediatric patients their caregivers a broadly deployed at an academic center.We analyzed usage for from 2008 to 2014. We recorded events with time stamps; user role defined as self, surrogate (i.e., parent or guardian), delegate; functions accessed. Usage were grouped into sessions...

10.4338/aci-2017-01-ra-0005 article EN Applied Clinical Informatics 2017-07-01

Abstract Objective Hospital-acquired acute kidney injury (HA-AKI) is a potentially preventable cause of morbidity and mortality. Identifying high-risk patients prior to the onset key step towards AKI prevention. Materials Methods A national retrospective cohort 1,620,898 patient hospitalizations from 116 Veterans Affairs hospitals was assembled electronic health record (EHR) data collected 2003 2012. HA-AKI defined at stage 1+, 2+, dialysis. EHR-based predictors were identified through...

10.1093/jamia/ocv051 article EN public-domain Journal of the American Medical Informatics Association 2015-06-23

To determine whether assisted annotation using interactive training can reduce the time required to annotate a clinical document corpus without introducing bias.A tool, RapTAT, was designed assist by iteratively pre-annotating probable phrases of interest within document, presenting annotations reviewer for correction, and then corrected further machine learning-based before subsequent documents. Annotators reviewed 404 notes either manually or RapTAT assistance concepts related quality care...

10.1136/amiajnl-2013-002255 article EN Journal of the American Medical Informatics Association 2014-01-15

A participant's medical history is important in clinical research and can be captured from electronic health records (EHRs) self-reported surveys. Both incomplete, EHR due to documentation gaps or lack of interoperability surveys recall bias limited literacy. This analysis compares collected the All Us Research Program through both EHRs.

10.1093/jamia/ocac046 article EN Journal of the American Medical Informatics Association 2022-03-23

Abstract In response to the rapidly evolving coronavirus disease 2019 (COVID-19) pandemic, All of Us Research Program longitudinal cohort study developed COVID-19 Participant Experience (COPE) survey better understand pandemic experiences and health impacts on diverse populations within United States. Six versions were deployed between May 2020 March 2021, covering mental health, loneliness, activity, substance use, discrimination, as well symptoms, testing, treatment, vaccination. A total...

10.1093/aje/kwad035 article EN public-domain American Journal of Epidemiology 2023-02-17

Depressive symptoms are prevalent in individuals living with sickle cell disease (SCD) and may exacerbate pain. This study examines whether higher depressive associated pain outcomes, catastrophizing, interference potential opioid misuse a large cohort of adults SCD. The utilized baseline data from the 'CaRISMA' trial, which involved 357 SCD chronic Baseline assessments included intensity, daily mood, Patient Health Questionnaire (PHQ), Generalized Anxiety Disorders scale, PROMIS Pain...

10.1111/bjh.19243 article EN British Journal of Haematology 2024-01-03
Coming Soon ...