AIMC Topic: Patient Safety

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The computer says no: AI, health law, ethics and patient safety.

British journal of nursing (Mark Allen Publishing) Jul 22, 2021
, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some recent reports on artificial intelligence (AI) and machine learning in the context of law, ethics and patient safety.
Patient Safety United Kingdom State Medicine Humans Artificial Intelligence Computers
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Categorising patient concerns using natural language processing techniques.

BMJ health & care informatics Jun 1, 2021
OBJECTIVES: Patient feedback is critical to identify and resolve patient safety and experience issues in healthcare systems. However, large volumes of unstructured text data can pose problems for manual (human) analysis. This study reports the result...
Natural Language Processing Health Services Professional-Patient Relations Patient Safety Aged Hospitals Humans Algorithms
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Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
Accumulating evidence demonstrates the impact of bias that reflects social inequality on the performance of machine learning (ML) models in health care. Given their intended placement within healthcare decision making more broadly, ML tools require a...
Quality Improvement Social Determinants of Health Government Regulation Prejudice Patient Safety Humans Healthcare Disparities Artificial Intelligence Data Collection
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A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.
ROC Curve Decision Support Systems, Clinical Expert Systems Machine Learning Patient Safety Medical Order Entry Systems Paris Hospitals, Voluntary Medication Errors Pharmacists Prescriptions Humans
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Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2020
OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.
Risk Management Datasets as Topic Semantics Unified Medical Language System Medical Errors Patient Safety Support Vector Machine Natural Language Processing Humans
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Comparison of Machine Learning Algorithms for Classifying Adverse-Event Related 30-Day Hospital Readmissions: Potential Implications for Patient Safety.

Studies in health technology and informatics Jun 26, 2020
Studies in the last decade have focused on identifying patients at risk of readmission using predictive models, in an objective to decrease costs to the healthcare system. However, real-time models specifically identifying readmissions related to hos...
Humans Machine Learning Patient Safety Hospitals Patient Readmission
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Development of an Alarm Algorithm, With Nanotechnology Multimodal Sensor, to Predict Impending Infusion Failure and Improve Safety of Peripheral Intravenous Catheters in Neonates.

Advances in neonatal care : official journal of the National Association of Neonatal Nurses Jun 1, 2020
BACKGROUND: Peripheral intravenous catheters connected to an infusion pump are necessary for the delivery of fluids, nutrition, and medications to hospitalized neonates but are not without complications. These adverse events contribute to hospital-ac...
Catheterization, Peripheral Clinical Alarms Equipment Failure Monitoring, Physiologic Artificial Intelligence Infusions, Intravenous Humans Patient Safety Nanotechnology Infant, Newborn Infusion Pumps
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On Patient Safety: The Lure of Artificial Intelligence-Are We Jeopardizing Our Patients' Privacy?

Clinical orthopaedics and related research Apr 1, 2020
Privacy Forms and Records Control Humans United States Health Insurance Portability and Accountability Act Artificial Intelligence Health Records, Personal Patient Safety
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Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?

Drug safety Mar 1, 2020
Drug-Related Side Effects and Adverse Reactions Patient Safety Research Report Neoplasms Quality Indicators, Health Care Quality Assurance, Health Care Humans Antineoplastic Agents Clinical Trials as Topic Machine Learning Adverse Drug Reaction Reporting Systems
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Introducing artificial intelligence in acute psychiatric inpatient care: qualitative study of its use to conduct nursing observations.

Evidence-based mental health Feb 1, 2020
BACKGROUND: All patients admitted to an acute inpatient mental health unit must have nursing observations carried out at night either hourly or every 15 minutes, to ascertain that they are safe and breathing. However, while this practice ensures pati...
Patient Safety Adult Monitoring, Physiologic Humans Observation Qualitative Research Acute Disease Artificial Intelligence Psychiatric Nursing Psychiatric Department, Hospital
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