AIMC Topic: Patient Satisfaction
Clear Filters Showing 51 to 60 of 124 articles
How are Patients Describing You Online? A Natural Language Processing Driven Sentiment Analysis of Online Reviews on CSRS Surgeons.
Clinical spine surgery
Aug 10, 2022
STUDY DESIGN: A quantitative analysis of written, online reviews of Cervical Spine Research Society (CSRS) surgeons.
Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.
Journal of healthcare engineering
Mar 3, 2022
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
Sep 24, 2021
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...
Machine Learning
Forecasting
Female
Young Adult
Adult
Male
Middle Aged
Surveys and Questionnaires
Latent Class Analysis
Humans
Hospitals, Public
Adolescent
Telemedicine
Rural Population
Patient Satisfaction
Models, Statistical
Bangladesh
Personal Satisfaction
Patient Acceptance of Health Care
Rural Health Services
Gaining Insights Into Patient Satisfaction Through Interpretable Machine Learning.
IEEE journal of biomedical and health informatics
Jun 3, 2021
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
Mar 1, 2021
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
Feb 23, 2021
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...
Comparison of an Artificial Intelligence-Enabled Patient Decision Aid vs Educational Material on Decision Quality, Shared Decision-Making, Patient Experience, and Functional Outcomes in Adults With Knee Osteoarthritis: A Randomized Clinical Trial.
JAMA network open
Feb 1, 2021
IMPORTANCE: Decision aids can help inform appropriate selection of total knee replacement (TKR) for advanced knee osteoarthritis (OA). However, few decision aids combine patient education, preference assessment, and artificial intelligence (AI) using...
Osteoarthritis, Knee
Patient Health Questionnaire
Decision Making, Shared
Patient Education as Topic
Arthroplasty, Replacement, Knee
Patient Reported Outcome Measures
Patient Satisfaction
Humans
Artificial Intelligence
Decision Support Techniques
Female
Aged
Aged, 80 and over
Male
Middle Aged
Risk Assessment
What Do Patients Care About? Mining Fine-grained Patient Concerns from Online Physician Reviews Through Computer-Assisted Multi-level Qualitative Analysis.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Online physician review (OPR) websites have been increasingly used by healthcare consumers to make informed decisions in selecting healthcare providers. However, consumer-generated online reviews are often unstructured and contain plural topics with ...
Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Dec 24, 2020
PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant satisfaction after hip arthroscopy.
A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance.
The Journal of surgical research
Oct 21, 2020
BACKGROUND: The US population is becoming more racially and ethnically diverse. Research suggests that cultural diversity within organizations can increase team potency and performance, yet this theory has not been explored in the field of surgery. F...
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