AIMC Topic: Patient Reported Outcome Measures

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Will Patient-reported Outcomes Be the Key to Demonstrating the Value of Robotic Cystectomy? Data Are Accumulating but Clarity Is Not.

The Journal of urology Mar 9, 2023
Humans Treatment Outcome Robotic Surgical Procedures Patient Reported Outcome Measures Cystectomy Urinary Bladder Neoplasms Robotics
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An Unsupervised Machine Learning Approach to Evaluating the Association of Symptom Clusters With Adverse Outcomes Among Older Adults With Advanced Cancer: A Secondary Analysis of a Randomized Clinical Trial.

JAMA network open Mar 1, 2023
IMPORTANCE: Older adults with advanced cancer who have high pretreatment symptom severity often experience adverse events during cancer treatments. Unsupervised machine learning may help stratify patients into different risk groups.
Syndrome Patient Reported Outcome Measures Aged Male Humans United States Female Neoplasms Unsupervised Machine Learning
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State-of-the-art Applications of Patient-Reported Outcome Measures in Spinal Care.

The Journal of the American Academy of Orthopaedic Surgeons Jan 19, 2023
Patient-reported outcome measures (PROMs) assign objective measures to patient's subjective experiences of health, pain, disability, function, and quality of life. PROMs can be useful for providers in shared decision making, outcome assessment, and i...
Artificial Intelligence Quality of Life Spine Humans Patient Reported Outcome Measures Patient Outcome Assessment
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Exactech Equinoxe anatomic versus reverse total shoulder arthroplasty for primary osteoarthritis: case controlled comparisons using the machine learning-derived Shoulder Arthroplasty Smart score.

Journal of shoulder and elbow surgery Oct 29, 2022
BACKGROUND: The role of reverse total shoulder arthroplasty (rTSA) for glenohumeral osteoarthritis (GHOA) with an intact rotator cuff remains unclear with prior investigations demonstrating similar patient-reported outcome measures (PROMs) to anatomi...
Patient Reported Outcome Measures Shoulder Joint Osteoarthritis Range of Motion, Articular Arthroplasty, Replacement, Shoulder Female Aged Middle Aged Case-Control Studies Male Machine Learning Retrospective Studies Humans
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Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM).

BMC medical informatics and decision making Jul 15, 2022
BACKGROUND: Evaluating patients' experiences is essential when incorporating the patients' perspective in improving healthcare. Experiences are mainly collected using closed-ended questions, although the value of open-ended questions is widely recogn...
Patient Outcome Assessment Humans Natural Language Processing Surveys and Questionnaires Artificial Intelligence Patient Reported Outcome Measures
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Predicting Patient-Reported Outcomes Following Surgery Using Machine Learning.

The American surgeon Jun 18, 2022
Patient-reported outcomes (PROs) enable providers to identify differences in treatment effectiveness, postoperative recovery, quality of life, and patient satisfaction. By allowing a shift from disease-specific factors to the patient perspective, PRO...
Quality of Life Patient Reported Outcome Measures Humans Machine Learning Artificial Intelligence Algorithms
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An examination of machine learning to map non-preference based patient reported outcome measures to health state utility values.

Health economics Jun 15, 2022
Non-preference-based patient-reported outcome measures (PROMs) are popular in health outcomes research. These measures, however, cannot be used to estimate health state utilities, limiting their usefulness for economic evaluations. Mapping PROMs to a...
Machine Learning Quality of Life Humans Cost-Benefit Analysis Surveys and Questionnaires Patient Reported Outcome Measures Australia
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More Than Words: An Invited Commentary Regarding "Quantitative Patient-Reported Experience Measures Derived From Natural Language Processing Have a Normal Distribution and No Ceiling Effect".

Quality management in health care May 27, 2022
Natural Language Processing Patient Reported Outcome Measures Humans Normal Distribution
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Quantitative Patient-Reported Experience Measures Derived From Natural Language Processing Have a Normal Distribution and No Ceiling Effect.

Quality management in health care Apr 4, 2022
BACKGROUND AND OBJECTIVES: Patient-reported experience measures have the potential to guide improvement in health care delivery. Many patient-reported experience measures are limited by the presence of strong ceiling effects that limit their analytic...
Natural Language Processing Patient Reported Outcome Measures Humans Delivery of Health Care Normal Distribution
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Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study.

Journal of medical Internet research Nov 3, 2021
BACKGROUND: Assessing patient-reported outcomes (PROs) through interviews or conversations during clinical encounters provides insightful information about survivorship.
Adolescent Child Natural Language Processing Humans Patient Reported Outcome Measures Algorithms Machine Learning Cross-Sectional Studies
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