AIMC Topic: Patient Reported Outcome Measures

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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...
Aged, 80 and over Male Middle Aged Risk Assessment Decision Support Techniques Female Aged Patient Satisfaction Osteoarthritis, Knee Patient Health Questionnaire Decision Making, Shared Patient Education as Topic Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Humans Artificial Intelligence
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Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Jan 16, 2021
PURPOSE: To (1) develop and validate a machine learning algorithm to predict clinically significant functional improvements after hip arthroscopy for femoroacetabular impingement syndrome and to (2) develop a digital application capable of providing ...
Female Risk Factors Young Adult Adult Humans Algorithms Retrospective Studies Activities of Daily Living Patient Reported Outcome Measures Calibration Arthroscopy Hip Joint Male Treatment Outcome Cohort Studies Recovery of Function ROC Curve Supervised Machine Learning
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Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach.

Journal of medical Internet research Nov 11, 2020
BACKGROUND: SymptomGuide Dementia (DGI Clinical Inc) is a publicly available online symptom tracking tool to support caregivers of persons living with dementia. The value of such data are enhanced when the specific dementia stage is identified.
Dementia Patient Reported Outcome Measures Cyberbullying Aged Male Cognitive Dysfunction Algorithms Female Humans Machine Learning
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Maximizing the Potential of Patient-Reported Assessments by Using the Open-Source Concerto Platform With Computerized Adaptive Testing and Machine Learning.

Journal of medical Internet research Oct 29, 2020
Patient-reported assessments are transforming many facets of health care, but there is scope to modernize their delivery. Contemporary assessment techniques like computerized adaptive testing (CAT) and machine learning can be applied to patient-repor...
Male Psychometrics Patient Reported Outcome Measures Computers Female Feedback Humans Machine Learning
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Guiding principles for the use of knowledge bases and real-world data in clinical decision support systems: report by an international expert workshop at Karolinska Institutet.

Expert review of clinical pharmacology Sep 29, 2020
INTRODUCTION: Technical and logical breakthroughs have provided new opportunities in medicine to use knowledge bases and large-scale clinical data (real-world) at point-of-care as part of a learning healthcare system to diminish the knowledge-practic...
Internationality Patient Reported Outcome Measures Decision Support Systems, Clinical Evidence-Based Medicine Practice Guidelines as Topic Humans Knowledge Bases Delivery of Health Care
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Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning.

Journal of surgical oncology Sep 24, 2020
In this review, we aim to assess the current state of science in relation to the integration of patient-generated health data (PGHD) and patient-reported outcomes (PROs) into routine clinical care with a focus on surgical oncology populations. We wil...
Artificial Intelligence Machine Learning Electronic Health Records Patient Generated Health Data Neoplasms Humans Patient Reported Outcome Measures Surgical Oncology
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Patient reported outcome measures concerning urinary incontinence after robot assisted radical prostatectomy: development and validation of an online prediction model using clinical parameters, lower urinary tract symptoms and surgical experience.

Journal of robotic surgery Sep 15, 2020
The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (RARP) depends on multiple clinical, anatomical and surgical factors. There are only few risk formulas, tables or nomograms predicting PPI that may ass...
Lower Urinary Tract Symptoms Prostatectomy Urinary Incontinence Prostatic Neoplasms Humans Male Robotics Robotic Surgical Procedures Patient Reported Outcome Measures
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Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis.

The American journal of sports medicine Sep 14, 2020
BACKGROUND: The relationship between the preoperative radiographic indices for femoroacetabular impingement syndrome (FAIS) and postoperative patient-reported outcome measure (PROM) scores continues to be under investigation, with inconsistent findin...
Humans Machine Learning Cohort Studies Patient Reported Outcome Measures Arthroscopy Treatment Outcome Activities of Daily Living Hip Joint Minimal Clinically Important Difference Femoracetabular Impingement
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Quality of Care Perceived by Older Patients and Caregivers in Integrated Care Pathways With Interviewing Assistance From a Social Robot: Noninferiority Randomized Controlled Trial.

Journal of medical Internet research Sep 9, 2020
BACKGROUND: Society is facing a global shortage of 17 million health care workers, along with increasing health care demands from a growing number of older adults. Social robots are being considered as solutions to part of this problem.
Interview, Psychological Male Middle Aged Robotics Humans Caregivers Aged Patient Reported Outcome Measures Female Delivery of Health Care, Integrated Aged, 80 and over Quality of Health Care
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Clinical and Research Medical Applications of Artificial Intelligence.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Aug 21, 2020
Artificial intelligence (AI), including machine learning (ML), has transformed numerous industries through newfound efficiencies and supportive decision-making. With the exponential growth of computing power and large datasets, AI has transitioned fr...
Sports Medicine Algorithms Humans Artificial Intelligence Biomedical Research Patient Reported Outcome Measures Machine Learning
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