US Health Policy

Latest AI and machine learning research in us health policy for healthcare professionals.

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Bundled Care for Hip Fractures: A Machine-Learning Approach to an Untenable Patient-Specific Payment Model.

OBJECTIVES: With the transition to a value-based model of care delivery, bundled payment models have...

Bio-inspired design and validation of the Efficient Lockable Spring Ankle (ELSA) prosthesis.

Over the last decade, active lower-limb prostheses demonstrated their ability to restore a physiolog...

Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy.

BACKGROUND: The absolute risk reduction (ARR) in cardiovascular events from therapy is generally ass...

Socially Assistive Robots (SAR) in In-Patient Care for the Elderly.

In-patient care of the elderly is currently being put to the test in all developed industrial nation...

Computer-Assisted Wound Assessment and Care Education Program in Registered Nurses: Use of an Interactive Online Program by 418 Registered Nurses.

PURPOSE: The purpose of this descriptive study was to evaluate use of a previously validated, online...

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care.

Digital health constitutes a merger of both software and hardware technology with health care delive...

ICT and autism care: state of the art.

PURPOSE OF REVIEW: Over the past 10 years, the use of information and communication technologies (IC...

Combining the Generic Entity-Attribute-Value Model and Terminological Models into a Common Ontology to Enable Data Integration and Decision Support.

The integration of clinical information models and termino-ontological models into a unique ontologi...

[Diagnostic value of urinary free cortisol in the subclinical Cushing's syndrome in patients with adrenal incidentaloma].

To evaluate the efficacy of 24 h urinary free cortisol (24 h UFC) in the diagnosis of subclinical C...

The value of prior knowledge in machine learning of complex network systems.

MOTIVATION: Our overall goal is to develop machine-learning approaches based on genomics and other r...

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