Karen E. Hegarty

ORCID: 0000-0002-0342-9051
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About
Contact & Profiles
Research Areas
  • Hormonal Regulation and Hypertension
  • Hip and Femur Fractures
  • Blood Pressure and Hypertension Studies
  • Electrolyte and hormonal disorders
  • Heart Failure Treatment and Management
  • Mental Health Treatment and Access
  • AI in cancer detection
  • Eicosanoids and Hypertension Pharmacology
  • Orthopaedic implants and arthroplasty
  • Radiomics and Machine Learning in Medical Imaging
  • Total Knee Arthroplasty Outcomes
  • Personality Disorders and Psychopathology
  • Cardiac, Anesthesia and Surgical Outcomes
  • Suicide and Self-Harm Studies
  • Global Cancer Incidence and Screening

Novant Health
2021-2024

Accurate risk assessment is essential for the success of population screening programs in breast cancer. Models with high sensitivity and specificity would enable to target more elaborate efforts high-risk populations, while minimizing overtreatment rest. Artificial intelligence (AI)-based models have demonstrated a significant advance over used today clinical practice. However, responsible deployment novel AI requires careful validation across diverse populations. To this end, we validate...

10.1200/jco.21.01337 article EN Journal of Clinical Oncology 2021-11-12

Abstract Background The Center for Medicare and Medicaid Services (CMS) imposes payment penalties readmissions following total joint replacement surgeries. This study focuses on hip, knee, shoulder arthroplasty procedures as they account most Apart from being a burden to healthcare systems, are also troublesome patients. There several studies which only utilized structured data Electronic Health Records (EHR) without considering any gender payor bias adjustments. Methods For this study,...

10.1186/s13018-024-04774-0 article EN cc-by Journal of Orthopaedic Surgery and Research 2024-05-10

Abstract Objective To determine whether the addition of a primary aldosteronism (PA) predictive model to secondary hypertension decision support tool increases screening for PA in care setting. Materials and Methods 153 clinics were randomized receive with or without an integrated between August 2023 April 2024. Results For patients risk scores top 1 percentile, 63/2,896 (2.2%) where alert was displayed had order set launched while 12/1,210 (1.0%) no (P = 0.014). 19/2,896 (0.66%) these...

10.1101/2024.07.09.24310088 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2024-07-10

Abstract Objectives To determine whether the addition of a primary aldosteronism (PA) predictive model to secondary hypertension decision support tool increases screening for PA in care setting. Materials and Methods One hundred fifty-three clinics were randomized receive with or without an integrated between August 2023 April 2024. Results For patients risk scores top 1 percentile, 63/2896 (2.2%) where alert was displayed had order set launched, while 12/1210 (1.0%) no-model launched (P =...

10.1093/jamiaopen/ooae123 article EN cc-by-nc JAMIA Open 2024-10-08

Abstract Common suicidal ideation screening tools used in healthcare settings rely on the willingness of patient to express having thoughts. We present an automatic and data-driven risk model that examines information available medical record captured during normal course care. This uses random forests assess likelihood behavior patients aged seven or older presenting at any setting. The Behavioral Health Acuity Risk (BHAR) achieves area under receiver operating curve (AUC) 0.84 may be its...

10.1101/2022.12.21.22283796 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2022-12-22
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