[HTML][HTML] Electronic Medical Records in the American Health System: challenges and lessons learned

RS Janett, PP Yeracaris - Ciencia & saude coletiva, 2020 - SciELO Brasil
Electronic medical records have been touted as a solution to many of the shortcomings of
health care systems. The aim of this essay is to review pertinent literature and present …

[HTML][HTML] The impact of digital hospitals on patient and clinician experience: Systematic review and qualitative evidence synthesis

OJ Canfell, L Woods, Y Meshkat, J Krivit… - Journal of Medical …, 2024 - jmir.org
Background The digital transformation of health care is advancing rapidly. A well-accepted
framework for health care improvement is the Quadruple Aim: improved clinician …

Practices to foster physician presence and connection with patients in the clinical encounter

DM Zulman, MC Haverfield, JG Shaw… - Jama, 2020 - jamanetwork.com
Importance Time constraints, technology, and administrative demands of modern medicine
often impede the human connection that is central to clinical care, contributing to physician …

Association of electronic health record design and use factors with clinician stress and burnout

PJ Kroth, N Morioka-Douglas, S Veres… - JAMA network …, 2019 - jamanetwork.com
Importance Many believe a major cause of the epidemic of clinician burnout is poorly
designed electronic health records (EHRs). Objectives To determine which EHR design and …

The role of electronic medical records in improving the quality of health care services: Comparative study

O Ayaad, A Alloubani, EA ALhajaa, M Farhan… - International journal of …, 2019 - Elsevier
Purpose The purpose of this study is to identify the quality of health care services'
differences between adopted Electronic Medical Record (EMR) and paper-based record …

Patient satisfaction and associated factors during COVID-19 pandemic in North Shoa health care facilities

BS Deriba, TA Geleta, RS Beyane… - Patient preference …, 2020 - Taylor & Francis
Background Patient satisfaction is an indicator of healthcare quality service and involved as
an outcome measure. Quality of healthcare service and patient satisfaction has been …

Medical AI and contextual bias

W Price, II Nicholson - Harv. JL & Tech., 2019 - HeinOnline
Artificial intelligence is entering medical practice. The combination of medical big data and
machine learning techniques allows de-velopers to create Al usable in medical contexts …

EdgeCare: Leveraging edge computing for collaborative data management in mobile healthcare systems

X Li, X Huang, C Li, R Yu, L Shu - IEEE Access, 2019 - ieeexplore.ieee.org
With the wide application of mobile healthcare systems, the total amount of healthcare data
is ever increasing rapidly as users interact with healthcare service providers frequently. This …

How artificial intelligence could transform emergency care

MM Kachman, I Brennan, JJ Oskvarek… - The American journal of …, 2024 - Elsevier
Artificial intelligence (AI) in healthcare is the ability of a computer to perform tasks typically
associated with clinical care (eg medical decision-making and documentation). AI will soon …

[HTML][HTML] Experience of health care professionals using digital tools in the hospital: qualitative systematic review

M Wosny, LM Strasser, J Hastings - JMIR human factors, 2023 - humanfactors.jmir.org
Background: The digitalization of health care has many potential benefits, but it may also
negatively impact health care professionals' well-being. Burnout can, in part, result from …