AIMC Topic: Patient Safety

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Developing a Generative AI-Powered Chatbot for Analyzing MAUDE Database.

Studies in health technology and informatics
This paper presents a chatbot that simplifies accessing and understanding the open-access records of adverse events related to medical devices in the MAUDE database. The chatbot is powered by generative AI technology, enabling count and search querie...

Challenges and Opportunities of Artificial Intelligence in CDSS and Patient Safety.

Studies in health technology and informatics
Ensuring patient safety in healthcare involves training professionals and implementing clinical decision support systems (CDSS) and health IT solutions to reduce errors and adverse events. The integration of artificial intelligence (AI) into health I...

Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Surface the urgent dilemma that healthcare delivery organizations (HDOs) face navigating the US Food and Drug Administration (FDA) final guidance on the use of clinical decision support (CDS) software.

Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals.

Studies in health technology and informatics
The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect ...

Spotlight on Leadership: What Nurse Leaders Need to Know About Artificial Intelligence.

The Journal of nursing administration
Artificial intelligence (AI) is not a new concept. Since the 2022 release of a popular large language model, AI has become readily accessible to the general population, brought transformational shifts in healthcare, and created significant implicatio...

Enhancing Patient Medication Safety at Home: A Patient-Facing Technology Architecture Integrating REDCap, Visualization Dashboards, and an AI- Driven Chatbot.

AMIA ... Annual Symposium proceedings. AMIA Symposium
This work demonstrates a novel architecture for a patient-facing technology (PFT) that supports patients with cancer in self-managing medication concerns and symptoms after care transitions back home. Patient-generated data are collected and stored u...

Artificial intelligence and clinical decision support: clinicians' perspectives on trust, trustworthiness, and liability.

Medical law review
Artificial intelligence (AI) could revolutionise health care, potentially improving clinician decision making and patient safety, and reducing the impact of workforce shortages. However, policymakers and regulators have concerns over whether AI and c...