AIMC Topic: Patient Satisfaction

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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...
Decision Support Techniques Female Aged Aged, 80 and over Male Humans Artificial Intelligence Patient Reported Outcome Measures Patient Satisfaction Middle Aged Osteoarthritis, Knee Risk Assessment Patient Education as Topic Patient Health Questionnaire Arthroplasty, Replacement, Knee Decision Making, Shared
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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 ...
Patient Satisfaction Natural Language Processing Quality of Health Care Internet Humans Health Services Computers Data Mining Delivery of Health Care Physicians
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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.
Adult Risk Male Hip Machine Learning Case-Control Studies ROC Curve Algorithms Treatment Outcome Female Patient Satisfaction Humans Young Adult Calibration Neural Networks, Computer Arthroscopy Postoperative Period
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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...
Gender Equity Hospital Departments Minority Groups Quality Assurance, Health Care Quality Indicators, Health Care Humans Outcome Assessment, Health Care Artificial Intelligence Patient Satisfaction Automated Facial Recognition Female Cultural Diversity Male Gastroenterology United States Ethnicity
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Users with spinal cord injury experience of robotic Locomotor exoskeletons: a qualitative study of the benefits, limitations, and recommendations.

Journal of neuroengineering and rehabilitation Sep 11, 2020
BACKGROUND: Persons with spinal cord injury (SCI) may experience both psychological and physiological benefits from robotic locomotor exoskeleton use, and knowledgeable users may have valuable perspectives to inform future development. The objective ...
Humans Female Aged Qualitative Research Surveys and Questionnaires Robotics Activities of Daily Living Patient Satisfaction Young Adult Adult Male Middle Aged Spinal Cord Injuries Exoskeleton Device
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Artificial Intelligence-Driven Oncology Clinical Decision Support System for Multidisciplinary Teams.

Sensors (Basel, Switzerland) Aug 20, 2020
Watson for Oncology (WfO) is a clinical decision support system driven by artificial intelligence. In Korea, WfO is used by multidisciplinary teams (MDTs) caring for cancer patients. This study aimed to investigate the effect of WfO use on hospital s...
Patient Care Team Interdisciplinary Communication Male Middle Aged Decision Support Systems, Clinical Patient Satisfaction Humans Artificial Intelligence Retrospective Studies Republic of Korea Female Reproducibility of Results Aged Aged, 80 and over Adult
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Improved patient satisfaction and diagnostic accuracy in skin diseases with a Visual Clinical Decision Support System-A feasibility study with general practitioners.

PloS one Jul 29, 2020
Patient satisfaction is an important indicator of health care quality, and it remains an important goal for optimal treatment outcomes to reduce the level of misdiagnoses and inappropriate or absent therapeutic actions. Digital support tools for diff...
Middle Aged Female Patient Compliance Humans Decision Support Systems, Clinical Feasibility Studies Skin Diseases Referral and Consultation Expert Systems Patient Satisfaction General Practitioners Adult Diagnostic Errors Male
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Natural Language Processing to Extract Meaningful Information from Patient Experience Feedback.

Applied clinical informatics Apr 1, 2020
BACKGROUND: Due to reimbursement tied in part to patients' perception of their care, hospitals continue to stress obtaining patient feedback and understanding it to plan interventions to improve patients' experience. We demonstrate the use of natural...
Humans Feedback Natural Language Processing Patient Satisfaction
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Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 31, 2020
BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilitation does not meet Australian National Stroke Guidelines for cardiovascular exercise, particularly in mobility-dependent patients. Walking robotics ca...
Cardiorespiratory Fitness Stroke Rehabilitation Mobility Limitation Feedback, Psychological Recovery of Function Male Robotics Oxygen Consumption Middle Aged Humans Augmented Reality Stroke Time Factors Treatment Outcome Prospective Studies Gait Health Status Female Exercise Therapy Aged Exercise Tolerance Patient Satisfaction
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Predicting Wait Times in Pediatric Ophthalmology Outpatient Clinic Using Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Patient perceptions of wait time during outpatient office visits can affect patient satisfaction. Providing accurate information about wait times could improve patients' satisfaction by reducing uncertainty. However, these are rarely known about effi...
Patient Satisfaction Linear Models Time-to-Treatment Models, Statistical Ophthalmology Supervised Machine Learning Ambulatory Care Facilities Humans Pediatrics Machine Learning Time Factors ROC Curve
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