Conrad Gleber

ORCID: 0009-0005-8241-944X
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About
Contact & Profiles
Research Areas
  • Telemedicine and Telehealth Implementation
  • Patient Safety and Medication Errors
  • Machine Learning in Healthcare
  • Electronic Health Records Systems
  • Artificial Intelligence in Healthcare and Education
  • Blood Pressure and Hypertension Studies
  • Emergency and Acute Care Studies
  • Renal Diseases and Glomerulopathies
  • Cancer Risks and Factors
  • Patient-Provider Communication in Healthcare
  • Technology Use by Older Adults
  • Persona Design and Applications
  • Educational Strategies and Epistemologies
  • Innovative Human-Technology Interaction
  • Healthcare Systems and Technology
  • Peripheral Neuropathies and Disorders
  • Innovative Teaching and Learning Methods
  • Reflective Practices in Education
  • Global Cancer Incidence and Screening
  • Healthcare Technology and Patient Monitoring
  • Biochemical and Molecular Research
  • Patient Satisfaction in Healthcare
  • Hospital Admissions and Outcomes
  • Impact of Light on Environment and Health
  • COVID-19 diagnosis using AI

University of Rochester Medical Center
2023-2025

Golisano Children's Hospital
2025

University of Rochester
2019-2023

General Department of Preventive Medicine
2018

Howard Hughes Medical Institute
2011

Natural product gene clusters are often tightly regulated, resulting in cluster silencing laboratory fermentation studies. The systematic overexpression of transcription factors (TFs) associated with biosynthetic found the genome Burkholderia thailandensis E264 identified a set TFs that, when overexpressed, alter secondary metabolome this bacterium. isolation and characterization burkholdacs A B, two new acyldepsitripeptide histone deacetylase inhibitors produced by B. overexpressing TF...

10.1021/ol200225v article EN Organic Letters 2011-02-24

ABSTRACT Objective: As more critically ill patients are managed by pediatric hospital medicine (PHM), accurately capturing the services provided and corresponding reimbursement essential for hospitalists. We sought to increase proportion of critical care codes billed in eligible PHM from a baseline mean 21% than 50% over 6 months. Methods: A quality improvement (QI) initiative was conducted at tertiary children’s on service November 2023-April 2024. Eligibility billing determined Centers...

10.1542/hpeds.2024-008183 article EN Hospital Pediatrics 2025-04-23

As the older adult population in United States grows, new approaches to managing and streamlining clinical work are needed accommodate their increased demand for health care. Deep learning generative artificial intelligence (AI) have potential transform how care is delivered clinicians practice geriatrics. In this editorial, we explore opportunities limitations of these technologies.

10.2196/51776 article EN cc-by JMIR Aging 2023-08-25

The authors declare no conflict of interest.

10.1002/jhm.13295 article EN Journal of Hospital Medicine 2024-02-10

Abstract Background Recognizing that alert fatigue poses risks to patient safety and clinician wellness, there is a growing emphasis on evaluation governance of electronic health record clinical decision support (CDS). This particularly critical for interruptive alerts ensure they achieve desired outcomes while minimizing the burden clinicians. study describes an improvement effort address problematic intended notify clinicians about patients needing coronavirus disease 2019 (COVID)...

10.1055/a-2226-8144 article EN Applied Clinical Informatics 2023-12-12

Objective: Proactive consultation-liaison (C-L) psychiatry aims to meet the mental health needs of medical-surgical populations—many which go unmet by conventional C-L model—through systematic screening and integrated care. We implemented an automated list enhance case identification existing proactive service evaluated metrics along with clinician- patient-reported outcomes. Methods: Service outcomes were using historical contemporary comparison data. Adjusted difference-in-difference...

10.4088/pcc.23m03647 article EN The Primary Care Companion For CNS Disorders 2024-03-15

<sec> <title>UNSTRUCTURED</title> As the older adult population in United States grows, new approaches to managing and streamlining clinical work are needed accommodate their increased demand for health care. Deep learning generative artificial intelligence (AI) have potential transform how care is delivered clinicians practice geriatrics. In this editorial, we explore opportunities limitations of these technologies. </sec>

10.2196/preprints.51776 preprint EN 2023-08-11

Journal of the American Society Nephrology 34(11S):p 230, November 2023. | DOI: 10.1681/ASN.20233411S1230b

10.1681/asn.20233411s1230b article EN Journal of the American Society of Nephrology 2023-11-01
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