AIMC Topic: Patient Satisfaction

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Artificial intelligence assisted telehealth for nursing: A scoping review.

Journal of telemedicine and telecare
BACKGROUND: Due to the COVID-19 pandemic, telehealth resurfaced as a convenient efficient healthcare delivery method. Researchers indicate that Artificial Intelligence (AI) could further facilitate delivering quality care in telehealth. It is essenti...

The Credibility of Physician Rating Websites: A Systematic Literature Review.

Health policy (Amsterdam, Netherlands)
OBJECTIVES: Increasingly, the credibility of online reviews is drawing critical attention due to the lack of control mechanisms, the constant debate about fake reviews and, last but not least, current developments in the field of artificial intellige...

Development of a patients' satisfaction analysis system using machine learning and lexicon-based methods.

BMC health services research
BACKGROUND: Patients' rights are integral to medical ethics. This study aimed to perform sentiment analysis and opinion mining on patients' messages by a combination of lexicon-based and machine learning methods to identify positive or negative comme...

Impact of the presence of a humanoid robot in the anesthesia visit waiting room on patient's satisfaction: the PEPPER before-after study.

Minerva anestesiologica
BACKGROUND: The quality of information during a medical visit, such as a preoperative anesthesia visit, impacts patient's satisfaction. New digital supports, including humanoid robots, have been recently proposed to provide medical information to pat...

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.

Journal of healthcare engineering
This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 s...

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.

PloS one
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural pu...

Gaining Insights Into Patient Satisfaction Through Interpretable Machine Learning.

IEEE journal of biomedical and health informatics
Patient satisfaction is a key performance indicator of patient-centered care and hospital reimbursement. To discover the major factors that affect patient experiences is considered as an effective way to formulate corrective actions. A patient during...

Assessment of the Acceptability and Feasibility of Using Mobile Robotic Systems for Patient Evaluation.

JAMA network open
IMPORTANCE: Before the widespread implementation of robotic systems to provide patient care during the COVID-19 pandemic occurs, it is important to understand the acceptability of these systems among patients and the economic consequences associated ...

A usability study in patients with stroke using MERLIN, a robotic system based on serious games for upper limb rehabilitation in the home setting.

Journal of neuroengineering and rehabilitation
BACKGROUND: Neuroscience and neurotechnology are transforming stroke rehabilitation. Robotic devices, in addition to telerehabilitation, are increasingly being used to train the upper limbs after stroke, and their use at home allows us to extend inst...