Information Technology

The Best of Both Worlds: How Combining a Large Language Model and a Rule-Based Algorithm Makes Catheter-Associated Urinary Tract Infection Surveillance More Efficient.

BACKGROUND: Catheter-associated urinary tract infection (CAUTI) surveillance is critical for patient safety. Many healthcare systems use electronic algorithms to flag candidate infection events but still require manual chart review to confirm CAUTI cases. We evaluated the use of a large language model (LLM) to enhance CAUTI surveillance. METHODS: We analyzed 919 potential CAUTI cases flagged by th...

Shaping the Future of Men's Health: How AI Could Be a Transformative Tool for Better Patient Outcomes and Provider Efficiency.

Men's health urology faces growing challenges driven by workforce shortages, rising disease burden, and persistent disparities in care. Despite an increasing prevalence of conditions like benign prostatic hyperplasia, prostate cancer, and urinary tract infections, more than half of U.S. counties lack a practicing urologist. Stigma, access, and uncertainty lead men to delay care further, resulting ...

Development of a clinical trial knowledge management application for community oncology.

INTRODUCTION: Participation in cancer clinical trials is low in community oncology settings, partly because institution-specific trial information is ...

Teleophthalmology for Retinal Disease Screening and Referral in Low- and Middle-Income Countries: A Case Overview of India.

Innovations like teleophthalmology have made great strides in improving access to care for patients with retinal disease by enabling prompt screening ...

Current overview of health technologies for antimicrobial resistance (AMR) management in hospitals: a scoping review, bibliometric analysis and technological prospecting.

INTRODUCTION: Antimicrobial resistance (AMR) represents one of the greatest global public health challenges and is intensified by inappropriate antimi...

A Secure User Interface for Preclinical Evaluation of AI in Patient Portal Message Management: Tutorial.

The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic hea...

Generating Patient Documents from Electronic Health Records Using Generative Artificial Intelligence: A Feasibility Study in a Japanese Cancer Center.

OBJECTIVE: Clinical documentation consumes substantial clinician time, potentially detracting from patient care. Generative artificial intelligence (A...

FAIR Data Standards for AI in Plant Biology: Current Practice and Case Studies.

Artificial Intelligence (AI) has become a central analytical approach in plant science, supporting prediction, pattern discovery, and integration acro...

AI-SOFA: An EMR-integrated Nursing Informatics-driven Decision Support System for Mortality Risk-informed ICU Clinical Decision-making.

Accurate and timely mortality prediction is essential for nursing clinical decision-making in intensive care units (ICUs). Although the Sequential Org...

Deployment process for artificial intelligence applications in radiology practice.

Successful deployment of medical artificial intelligence (AI) systems should start with formulating clear goals and understanding organisational workf...

DETERIO-LLM: enhancing traditional deterioration risk scores with clinical context and advanced reasoning.

OBJECTIVES: Accurate and timely prediction of physiological deterioration in hospitalized patients is essential, but existing deep learning models, wh...

Earlier medically ready for discharge date entry associated with lower unnecessary bed days.

BACKGROUND: Discharge planning plays a critical role in managing patient hospital length of stay. We report on the implementation of a program in a la...

Enhancing Emergency Medical Response Education through Generative AI-Powered Game-Based Learning: A Retrospective Comparative Study.

OBJECTIVE: Traditional lecture-based learning (LBL) is often insufficient for cultivating the practical decision-making skills required in high-stakes...

Life-saving therapies to patients in hours - the new algorithmic digital regulatory exchange model.

The growing scale and complexity of pharmaceutical quality data across the product lifecycle are outpacing the capabilities of today's document-centri...

Machine learning prediction of physician-assigned treatment categories from pre-procedural electronic medical record data in cardiac patients: A multiclass classification study.

Cardiovascular diseases (CVDs) remain a leading source of morbidity, mortality, and healthcare burden worldwide. In patients with coronary artery dise...

A Preliminary Approach to Fall Risk Assessment in Aged Care Facilities Using Generative AI Technologies.

Falls among elderly residents in residential aged care facilities (RACFs) are a critical public health concern, often resulting in severe injuries, re...

Quality indicators for cancer pain management: natural language processing and machine learning from electronic clinical records.

OBJECTIVES: The continual evaluation of quality indicators (QIs) for cancer pain management is essential to maintaining and improving its quality. How...

Ontology-driven energy-efficient SAID framework for 5G and IoT networks using cryptographic techniques.

The rapid deployment and usage of 5G and IoT networks in smart cities present significant challenges for cybersecurity, particularly regarding energy ...

Integrating human and artificial intelligence for robust postmarketing safety surveillance systems: reflections from the FDA Sentinel Innovation Center.

OBJECTIVES: To describe considerations for integration of human and artificial intelligence for creating a postmarketing surveillance system capable o...

A High Granularity Machine Learning Model to Predict Successful Weaning During V-V ECMO.

PURPOSE: Weaning from venovenous extracorporeal membrane oxygenation (V-V ECMO) remains unstandardized due to limited literature, with delayed weaning...