Reimbursement

Building Toward a Future for Electronic Health Record Systems.

Health information technology tools, including electronic health records, are ubiquitous in healthcare across the United States. Despite the promise and opportunity of these tools, their benefits have been uneven while also having the unintended consequence of imposing substantial administrative and documentation challenges that are often linked to clinician burnout. The adoption of these tools ha...

Non-small Cell Lung Cancer in Metastatic Renal Cell Carcinoma Patients.

INTRODUCTION: Renal cell carcinoma (RCC) most commonly metastasizes to the lungs and shares risk factors with lung cancer. However, primary lung cancer in patients with metastatic RCC is underrecognized and poses diagnostic and therapeutic challenges. PATIENTS AND METHODS: We retrospectively identified patients at UT Southwestern Medical Center with both metastatic RCC and primary non-small cell l...

Invisible Signals, Visible Dilemmas: The Ethical Frontiers of Liquid Biopsy in Precision Oncology.

This critical review synthesizes the ethical, technical, and equity dilemmas emerging from the rapid clinical translation of liquid biopsy technologie...

Cold induced pain elicits reproducible breath metabolomic responses across geographically distinct populations.

Observer-independent assessment of nociceptive states is particularly important in non-communicative or vulnerable patient populations, where self-rep...

Association between diagnostic history and cancer incidence within 5 years: a real-world observational analysis.

Cancer is associated with many pre-existing health conditions (PHCs), but accurately quantifying these links remains challenging. Although some studie...

Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems.

OBJECTIVE: Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activ...

Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study.

BACKGROUND: Oropharyngeal dysphagia (OD) commonly occurs in patients with COVID-19 disease, posing diagnostic challenges due to isolation protocols. O...

Governing the rise of AI in healthcare: A comparative governance document and implementation implications across five jurisdictions.

BACKGROUND: As AI increasingly reshapes healthcare delivery and innovation, global health systems face urgent imperatives to govern its development, d...

Genome diagnostics: a pillar of twenty-first century healthcare and precision medicine.

Genomic diagnostics is revolutionizing disease management and forms the cornerstone of precision medicine. This review details the multi-stage operati...

Semantic interoperability and price analytics in hospital transparency data: a multi-stage pipeline with NLP and machine learning.

PURPOSE: The U.S. Hospital Price Transparency mandate requires public disclosure of machine-readable files (MRFs), yet profound data heterogeneity hin...

Leveraging Electronic Health Record Data and Artificial Intelligence to Develop a Crosswalk Tool for Personalized Clinical Experience Profiles of Emergency Medicine Residents.

PROBLEM: Graduate medical education requires learners to acquire broad clinical exposures to meet core competencies for unsupervised practice, but var...

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel disease (IBD). While early applications in endosco...

Discovery of Novel MLKL PROTAC Degraders for the Treatment of Hepatocellular Carcinoma via Promoting Parthanatos.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primarily due to its low immunogenicity and immunosuppre...

Development and temporal validation of an interpretable point score for in-hospital mortality in CLL/SLL using the U.S. National Inpatient Sample, 2016-2022.

In-hospital mortality among patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) is ∼6%, yet no validated, transparent beds...

Association of Artificial Intelligence Derived Cardiothoracic Ratio Assessment on Non-Cardiac Chest CT with Heart Failure and All-Cause Mortality: A Retrospective Single Center Study.

BACKGROUND: The cardiothoracic ratio (CTR) is estimated by dividing cardiac width by thoracic width. The Area Deprivation Index (ADI) is a metric to q...

Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample.

INTRODUCTION: Although personality functioning has a long psychodynamic tradition and has received renewed interest in psychotherapy research with the...

The Harvard-Emory ECG Database.

The Harvard-Emory ECG Database (HEEDB) is currently the largest open-access collection of 12-lead electrocardiogram (ECG) recordings, developed throug...

Predictors and Perceptions of mHealth App Engagement in Older Adults: A Mixed-Methods Study on Nurse-Supported Interventions.

OBJECTIVES: To examine nurse-supported interventions on sustained mobile health (mHealth) engagement and identify predictors of long-term use in commu...

Beyond Pattern Recognition: A Gödelian Limit on Self-Validation in Radiological AI.

Artificial intelligence (AI) systems increasingly match or exceed human performance in narrowly defined radiological tasks, accelerating their clinica...

Practice Pattern Changes After Adoption Of Diagnostic AI Tool Used In Conjunction With Cardiac Imaging.

In 2018, Medicare established coverage and reimbursement for its first service using artificial intelligence (AI): computed tomography (CT) fractional...