Joel Park

ORCID: 0000-0003-1319-6893
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About
Contact & Profiles
Research Areas
  • Social Media in Health Education
  • COVID-19 Clinical Research Studies
  • COVID-19 and healthcare impacts
  • Innovations in Medical Education
  • Clinical Reasoning and Diagnostic Skills
  • Respiratory Support and Mechanisms
  • Muscle and Compartmental Disorders
  • Airway Management and Intubation Techniques
  • Artificial Intelligence in Healthcare and Education
  • Medical Education and Admissions
  • scientometrics and bibliometrics research
  • COVID-19 and Mental Health
  • Infection Control and Ventilation
  • Public Relations and Crisis Communication
  • Probabilistic and Robust Engineering Design
  • Academic Publishing and Open Access
  • Ultrasound in Clinical Applications
  • Radiology practices and education
  • Radiomics and Machine Learning in Medical Imaging
  • Simulation-Based Education in Healthcare
  • Healthcare cost, quality, practices
  • SARS-CoV-2 detection and testing
  • Statistical Methods in Epidemiology
  • Emergency and Acute Care Studies
  • Long-Term Effects of COVID-19

Presbyterian Hospital
2020-2021

Cornell University
2020-2021

St. John's Riverside Hospital
2018-2021

Weill Cornell Medicine
2020-2021

BeiGene (China)
2021

New York Hospital Queens
2020

NewYork–Presbyterian Hospital
2020

Patients hospitalized with coronavirus disease 2019 (COVID-19) frequently require mechanical ventilation and have high mortality rates. However, the impact of viral burden on these outcomes is unknown.We conducted a retrospective cohort study patients COVID-19 from 30 March 2020 to April at 2 hospitals in New York City. Severe acute respiratory syndrome (SARS-CoV-2) load was assessed using cycle threshold (Ct) values reverse transcription-polymerase chain reaction assay applied...

10.1093/cid/ciaa851 article EN other-oa Clinical Infectious Diseases 2020-06-27

Background While artificial intelligence (AI) offers possibilities of advanced clinical prediction and decision-making in healthcare, models trained on relatively homogeneous datasets, populations poorly-representative underlying diversity, limits generalisability risks biased AI-based decisions. Here, we describe the landscape AI medicine to delineate population data-source disparities. Methods We performed a scoping review papers published PubMed 2019 using techniques. assessed differences...

10.1371/journal.pdig.0000022 article EN cc-by PLOS Digital Health 2022-03-31

Abstract Objective Little is known regarding the specific ways personal protective equipment (PPE) has been used and reused during coronavirus disease 2019 (COVID‐19) pandemic. The objective of this study was to evaluate patterns PPE use impact availability on attitudes well‐being an international population healthcare workers. Methods This online, cross‐sectional survey disseminated internationally using social media, specialty society list‐serves, email augmented by snowball sampling...

10.1002/emp2.12392 article EN cc-by-nc-nd Journal of the American College of Emergency Physicians Open 2021-03-26

Professional satisfaction is associated with career longevity, individual well-being, and patient care safety. Lack of physician engagement promotes the opposite. This study sought to identify important facets contributing decreased using a large national data set practicing emergency physicians.

10.1002/emp2.12546 article EN cc-by-nc-nd Journal of the American College of Emergency Physicians Open 2021-12-01

Abstract Releasing preprints is a popular way to hasten the speed of research but may carry hidden risks for public discourse. The COVID-19 pandemic caused by novel SARS-CoV-2 infection highlighted risk rushing publication unvalidated findings, leading damaging scientific miscommunication in most extreme scenarios. Several high-profile preprints, later found be deeply flawed, have indeed exacerbated widespread skepticism about disease – at great cost health. Here, preprint article quality...

10.1101/2021.06.14.21258917 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-06-18

Abstract We present deep significance clustering (DICE), a framework for jointly performing representation learning and “outcome-driven” stratification. Motivated by practical needs in medicine to risk-stratify patients into subgroups, DICE brings self-supervision unsupervised tasks generate cluster membership that may be used categorize unseen risk levels. is driven combined objective function constraint which require statistically significant association between the outcome of learned...

10.1101/2020.10.04.20204321 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2020-10-04

Audience: This is an online social media curriculum aimed at the incoming emergency department (ED) intern.This designed to foster collaborative learning in preparation for upcoming intern year.

10.5070/m532038683 article EN cc-by Journal of Education and Teaching in Emergency Medicine 2018-01-01

10.1016/j.ajem.2020.01.052 article EN The American Journal of Emergency Medicine 2020-01-28

The objective was to bridge the relative educational gap for newly matched emergency medicine preinterns between Match Day and start of internship by implementing an Accreditation Council Graduate Medical Education Milestone (ACGME)-based virtual case curriculum over social media platform Slack.

10.1002/aet2.10503 article EN AEM Education and Training 2020-07-10

ABSTRACT Background The COVID-19 pandemic displaced newly matched emergency medicine “pre-interns” from in-person educational experiences at the end of medical school. This called for novel remote teaching modalities. Objective study assesses effectiveness a multisite Accreditation Council Graduate Medical Education (ACGME) sub-competency-based curricular implementation on Slack during first wave in United States. Methods Emergency residency programs were recruited via national organization...

10.4300/jgme-d-21-00620.1 article EN Journal of Graduate Medical Education 2021-12-01

There is little evidence guiding equipment handling during emergency endotracheal intubations (EEI). Available and current practice are either outdated, anecdotal or focused on difficult-not emergency-intubation. In this study, we describe evaluate our unit: the AIR-BOX.

10.1136/bmjstel-2020-000721 article EN BMJ Simulation & Technology Enhanced Learning 2020-10-28
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