AIMC Topic: Patient-Centered Care

Clear Filters Showing 1 to 10 of 90 articles

Human-centered AI in healthcare: empowering patients and support persons in clinical decision-making.

BMC medical informatics and decision making
Artificial intelligence (AI) has emerged as a promising tool to enhance medical practice and improve patient outcomes. However, introducing AI in interactions between patients, support persons (SPs) and physicians may create real or perceived informa...

Rare disease education in medical schools: patient-centered and innovative strategies.

Orphanet journal of rare diseases
PURPOSE: Globally, approximately 300 million people live with a rare disease, while in the United States, nearly 30 million, or 1 in 10 Americans, have a rare disease or disorder (RD) (The Lancet Global Health. Lancet Glob Health 2024. https://doi.or...

Using ChatGPT-4 for Lay Summarization in Prostate Cancer Research to Advance Patient-Centered Communication: Large-Scale Generative AI Performance Evaluation.

Journal of medical Internet research
BACKGROUND: The increasing volume and complexity of biomedical literature pose challenges for making scientific knowledge accessible to lay audiences. Lay summaries, now widely encouraged or required by journals, aim to bridge this gap by promoting h...

Designing for Patient-Centered Care and Equity in Virtual Hospital-at-Home Models: Quality Improvement Initiative Using Experience-Based Co-Design.

JMIR human factors
BACKGROUND: The rapid expansion of virtual care during COVID-19 accelerated the development of virtual hospital-at-home models, which deliver hospital-level care in patients' homes through remote monitoring, virtual communication, and in-person suppo...

Unburdening Patients and Clinicians Through Automation and Artificial Intelligence: Informatics Strategies for Reducing Administrative Burden.

Journal of medical systems
Healthcare delivery systems face mounting administrative complexity that contributes to clinician burnout, medical errors, and reduced access to care for patients. This editorial explores how automation and artificial intelligence (AI) can address ke...

Artificial intelligence and the future of patient-centered outcomes.

Journal of patient-reported outcomes
BACKGROUND: Terheyden et al. recently described a compelling vision for large language model-enabled patient-reported outcome measures (LLM-PROMs).

Revisiting medical oaths: how student-driven ethical codes reflect changing values.

Journal of medical ethics
BACKGROUND: Medical oaths and ethical codes play a crucial role in guiding physicians through their professional responsibilities. This study extends prior research on ethical codes created by students at the Medical School for International Health (...

Collecting and Sharing Person-Centered AI Clinical Summaries Across Frailty Services Provided by the National Health Service and Voluntary, Community, and Social Enterprise: Protocol for a Co-Design and Feasibility Study.

JMIR research protocols
BACKGROUND: Due to its association with multimorbidity, frailty gives rise to multidimensional needs for different services. Too often, patient preferences and service encounter information are not adequately shared.

A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptoms.

Scientific reports
Patient-reported symptoms provide valuable insights into patient experiences and can enhance healthcare quality; however, effectively capturing them remains challenging. Although natural language processing (NLP) models have been developed to extract...

Patient-centered research in radiology: A Canadian perspective.

Clinical imaging
This article examines the importance of patient-centered research in radiology with an emphasis on incorporating the patient perspective to improve patient-reported outcomes (PROs) and research relevance. The methods for effective patient engagement ...