Information Technology

Derivation and validation of an algorithm for maternal-child linkage in electronic health records.

INTRODUCTION: We created a probabilistic maternal-child electronic health record (EHR) linkage algorithm to promote clinical research in maternal-child health. METHODS: We used EHR data from 1994 to 2024 to create an XGBoost model to predict maternal-child linkages. The model used standard EHR elements as predictor variables, including first name, last name, birthdate, address, phone number, email...

Evaluating ambient artificial intelligence documentation: effects on work efficiency, documentation burden, and patient-centered care.

BACKGROUND AND SIGNIFICANCE: Ambient listening tools powered by generative artificial intelligence (GenAI) offer real-time, scribe-like support that reduce documentation burden and may help alleviate burnout. This study assesses physician-perceived benefits and challenges of ambient AI implementation through surveys and evaluates its effectiveness in clinical workflows using automatically recorded...

Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research.

OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by supporting clinical decision-making, reducing diagnosti...

Observer: creation of a novel multimodal dataset for outpatient care research.

OBJECTIVE: To support ambulatory care innovation, we created Observer, a multimodal dataset comprising videotaped outpatient visits, electronic health...

Enterprise-wide simultaneous deployment of ambient scribe technology: lessons learned from an academic health system.

OBJECTIVES: To report on the feasibility of a simultaneous, enterprise-wide deployment of EHR-integrated ambient scribe technology across a large acad...

Automated detection of stigmatizing language in Electronic Health Records (EHRs) using a multi-stage transfer learning approach.

OBJECTIVE: Stigmatizing language (SL) in Electronic Health Records (EHRs) can perpetuate biases and negatively impact patient care. This study introdu...

Evaluation of trajectory analysis for disease risk assessment: a scoping review.

OBJECTIVES: Increasingly, structured longitudinal electronic health records (EHRs) are being harnessed to predict risk of having present but as yet un...

Usability-Related Barriers and Facilitators Influencing the Adoption and Use of AI Scribes in Healthcare: A Scoping Review.

BACKGROUND: Clinical documentation is a major contributor to physician burnout, and artificial intelligence (AI) scribes are increasingly being adopte...

Artificial Intelligence-Assisted Clinical Decision Support System in Telemedical Wound Care: A Randomized Controlled Trial.

BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic diseases. Effective wound care is often hindered b...

Implementation and current status of frailty assessment in Japanese hospitals: Processes, epidemiology, and future directions.

Frailty has become a pressing health concern in Japan as it has entered a super-aged society. Early identification of frailty is essential to preventi...

Multisite derivation of a machine learning algorithm using high sensitivity troponin to predict major adverse cardiac events in the emergency department.

OBJECTIVE: To develop a machine learning (ML) algorithm to stratify risk for major adverse cardiac events (MACE) within 30 days in emergency departmen...

A bio inspired hybrid optimization framework for efficient real time malware detection.

The exponential growth of malware attacks, particularly those exploiting malicious URLs, poses a significant threat to cybersecurity in real-time digi...

Wearable biosensors for disease diagnostics and health monitoring: recent progress and emerging technologies.

Wearable biosensors leverage microfluidic technology for precise biofluid sampling and directional transport, and utilize electrical or optical sensin...

Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists.

These guidelines provide a clear and practical framework for the effective implementation of digital pathology (DP) in routine anatomical pathology pr...

A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data.

Advancements in deep learning technologies and an increase in medical data have enhanced the accuracy of disease diagnosis and treatment strategies. N...

Correlative analysis between ocular surface features and carotid plaque : A multimodal machine learning framework.

BACKGROUND AND OBJECTIVE: The diagnosis of carotid plaques plays an important role in revealing cardiovascular and cerebrovascular diseases, thus attr...

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpatients, particularly in those treated with antithrom...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk of intentional self-harm.

BACKGROUND: Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower ...

From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology.

A Whole Slide Image (WSI) is a high-resolution digital image created by scanning an entire glass slide containing a biological specimen, such as tissu...