Medicaid

Real-world energy data of 200 feeders from low-voltage grids with metadata in Germany over two years.

The last mile of the distribution grid is crucial for a successful energy transition, as more low-carbon technology like photovoltaic systems, heat pumps, and electric vehicle chargers connect to the low-voltage grid. Despite considerable challenges in operation and planning, researchers often lack access to suitable low-voltage grid data. To address this, we present the FeederBW dataset with data...

Roles for AI in Implementation of Medicaid Work Requirements.

Trusting the Algorithm or Trusting the Nurse? Critical Care Nurses' Experiences of Automation Bias and Professional Autonomy in AI-Assisted Early Warning.

BACKGROUND: Artificial intelligence-assisted early warning systems (AI-EWS) are increasingly integrated into critical care, yet little is known about ...

Who is responsible? A risk-stratified framework for pharmacist accountability in artificial intelligence-assisted managed care.

Artificial intelligence (AI)-enabled tools are increasingly integrated into managed care pharmacy workflows, particularly in utilization management an...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...

Stress hyperglycaemia ratio and post-operative delirium after cardiac surgery: a retrospective cohort study of the MIMIC-IV database.

BACKGROUND: Post-operative delirium is a serious neurocognitive complication of cardiac surgery. The stress hyperglycaemia ratio (SHR), which adjusts ...

Patient Stratification for Improving Acute Chest Pain Management and Mitigating Emergency Department Crowding: Machine Learning Model Development and Validation.

BACKGROUND: Acute chest pain (ACP) is one of the most common chief complaints in the emergency department (ED), accounting for approximately 8% of all...

Artificial intelligence-enhanced management system for secondary prevention of coronary heart disease: a randomized clinical trial.

BACKGROUND: Secondary prevention of coronary heart disease (CHD) remains suboptimal due to fragmented care and therapeutic inertia. While digital heal...

Gerontechnology Acceptance in Thai Older Adult Care Facilities-Sensor Network and Machine Learning Adoption: Mixed Methods Study.

BACKGROUND: Thailand is undergoing a rapid demographic transition, with an estimated 28% of the population expected to be aged 60 years or older by 20...

The Invisible Workforce: An Algorithmic Audit of Nursing, Primary Care, and Holistic Gaps in AI-Generated Survivorship Plans.

OBJECTIVES: Advanced ovarian cancer survivorship requires multidisciplinary coordination. As patients use large language models (LLMs) as clinical nav...

Detecting and Mitigating AI Bias in Health Care: Development and Validation of a Unified Multistage Framework.

BACKGROUND: AI-driven clinical systems can improve diagnosis, prognosis, and resource allocation, but they may reproduce disparities encoded in histor...

Clinically interpretable prediction models of stroke functional outcomes: A national cohort study of adults in inpatient rehabilitation facilities in the US.

OBJECTIVE: To predict self-care and mobility function at discharge from inpatient rehabilitation for adults with stroke using only variables from the ...

Cognitive Workload and Mental Burden in Health Care Professionals Interacting With AI: Systematic Review and Meta-Analysis.

BACKGROUND: AI adoption in health care has accelerated rapidly, with ambient documentation tools, diagnostic imaging AI, and clinical decision support...

The Scale for AI Literacy in Health Care Workers: Development and Validation.

BACKGROUND: AI is increasingly embedded in health care systems; yet, validated instruments for assessing AI literacy among health care workers remain ...

Accuracy of portable artificial intelligence-supported fundus camera in the screening of diabetic retinopathy in primary care.

OBJECTIVE: Research on the use of portable fundus cameras utilizing artificial intelligence (AI) for diabetic retinopathy (DR) screening in primary ca...

Harnessing Exhaled Breath for Lung Cancer Early Detection-Results From the ExPeL Study.

Scalable, non-invasive tools are critically needed to improve early lung cancer detection and optimize primary care referral pathways. We evaluated In...

Balancing technical and social controls across performance measurement and management stages: a bibliometric synthesis of digitally enabled healthcare performance management.

PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, ...

The Relational Care-AI Alignment Framework: An Ethical Model for Artificial Intelligence Involvement in Person-Centred Fundamental Care.

AIM: To propose an ethical decision-making framework for artificial intelligence (AI) involvement in person-centred fundamental care, organised around...

Treatment-Effect-Based Versus Risk-Based Targeting of Care Management Outreach in Medicaid: A Retrospective Cohort Study with Machine Learning.

Medicaid care-management programs typically allocate scarce outreach capacity to beneficiaries with the highest predicted risk of an acute event, assu...

Principles for Responsible AI in Health Professions Education, Research, and Care: Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework Delphi Consensus Study.

BACKGROUND: Artificial intelligence (AI) is rapidly integrating into health professions education and clinical practice, creating significant opportun...