AIMC Topic: Patient Outcome Assessment

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Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study.

Journal of medical Internet research Aug 21, 2024
BACKGROUND: Accurate patient outcome prediction in the intensive care unit (ICU) can potentially lead to more effective and efficient patient care. Deep learning models are capable of learning from data to accurately predict patient outcomes, but the...
Machine Learning Retrospective Studies Intensive Care Units Humans Middle Aged Deep Learning Patient Outcome Assessment Electronic Health Records Female Male
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Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.

Artificial intelligence in medicine Nov 1, 2023
OBJECTIVE: Natural language processing (NLP) combined with machine learning (ML) techniques are increasingly used to process unstructured/free-text patient-reported outcome (PRO) data available in electronic health records (EHRs). This systematic rev...
Patient Outcome Assessment Humans Electronic Health Records Machine Learning Natural Language Processing PubMed
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Same-day discharge robot-assisted laparoscopic prostatectomy: feasibility, safety and patient experience.

BJU international Mar 16, 2023
OBJECTIVES: To report a single centre's experience of the feasibility, safety and patient acceptability of same-day discharge robot-assisted laparoscopic prostatectomy (RALP).
Humans Aged Robotics Prostatic Neoplasms Laparoscopy Male Middle Aged Treatment Outcome Prostatectomy Feasibility Studies Neoplasm Recurrence, Local Patient Outcome Assessment Robotic Surgical Procedures Patient Discharge
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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...
Patient Outcome Assessment Spine Patient Reported Outcome Measures Humans Artificial Intelligence Quality of Life
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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 Reported Outcome Measures Patient Outcome Assessment Artificial Intelligence Surveys and Questionnaires Natural Language Processing Humans
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Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care.

International journal of medical informatics Nov 11, 2021
BACKGROUND: Patient centred care necessitates that healthcare experiences and perceived outcomes be considered across all transitions of care. Information encoded within free-text patient experience comments relating to transitions of care are not ca...
State Medicine Machine Learning Pregnancy Humans Female Natural Language Processing Patient-Centered Care Patient Outcome Assessment
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Nothing about us without us: involving patient collaborators for machine learning applications in rheumatology.

Annals of the rheumatic diseases Jul 5, 2021
Novel machine learning methods open the door to advances in rheumatology through application to complex, high-dimensional data, otherwise difficult to analyse. Results from such efforts could provide better classification of disease, decision support...
Humans Machine Learning Health Personnel Unsupervised Machine Learning Patient Outcome Assessment Patient Participation Stakeholder Participation Rheumatology
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How to automatically turn patient experience free-text responses into actionable insights: a natural language programming (NLP) approach.

BMC medical informatics and decision making May 27, 2020
BACKGROUND: Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques could provide a data-driven, hos...
Text Messaging Humans Natural Language Processing Language Retrospective Studies Hospitals Quality Improvement Patient Outcome Assessment
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Interpretation of machine learning predictions for patient outcomes in electronic health records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Electronic health records are an increasingly important resource for understanding the interactions between patient health, environment, and clinical decisions. In this paper we report an empirical study of predictive modeling of seven patient outcom...
Logistic Models Electronic Health Records Models, Statistical Humans Female Models, Theoretical Patient Outcome Assessment Machine Learning Male
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Machine learning for clinical decision support in infectious diseases: a narrative review of current applications.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Sep 17, 2019
BACKGROUND: Machine learning (ML) is a growing field in medicine. This narrative review describes the current body of literature on ML for clinical decision support in infectious diseases (ID).
Communicable Diseases Humans Anti-Infective Agents Patient Outcome Assessment Artificial Intelligence Sepsis Clinical Decision-Making Machine Learning Decision Support Systems, Clinical Early Diagnosis
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