AIMC Topic: Delivery of Health Care

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Predicting the Travel Distance of Patients to Access Healthcare Using Deep Neural Networks.

IEEE journal of translational engineering in health and medicine
OBJECTIVE: Improving geographical access remains a key issue in determining the sufficiency of regional medical resources during health policy design. However, patient choices can be the result of the complex interactivity of various factors. The aim...

Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.

International journal of nursing studies
BACKGROUND: Research on technologies based on artificial intelligence in healthcare has increased during the last decade, with applications showing great potential in assisting and improving care. However, introducing these technologies into nursing ...

Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms.

International journal of environmental research and public health
Although the use of artificial intelligence (AI) in healthcare is still in its early stages, it is important to understand the factors influencing its adoption. Using a qualitative multi-case study of three hospitals in China, we explored the researc...

Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine.

The Canadian journal of cardiology
Clinical databases, particularly those composed of big data, face growing security challenges. Blockchain, the open, decentralized, distributed public ledger technology powering cryptocurrency, records transactions securely without the need for third...

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) holds the promise of supporting nurses' clinical decision-making in complex care situations or conducting tasks that are remote from direct patient interaction, such as documentation processes. There has been ...

Using systems thinking methodologies to address health care complexities and evidence implementation.

JBI evidence implementation
BACKGROUND: Despite health care advances, artificial intelligence and government interventions aiming to improve the health and wellbeing of citizens, huge disparities and failures in care provision exist. This is demonstrated by the rising number of...

How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.

BMC medical informatics and decision making
BACKGROUND: Much has been invested in big data and artificial intelligence-based solutions for healthcare. However, few applications have been implemented in clinical practice. Early economic evaluations can help to improve decision-making by develop...

Responsible nudging for social good: new healthcare skills for AI-driven digital personal assistants.

Medicine, health care, and philosophy
Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcar...

Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.

Journal of medical Internet research
BACKGROUND: It is believed that artificial intelligence (AI) will be an integral part of health care services in the near future and will be incorporated into several aspects of clinical care such as prognosis, diagnostics, and care planning. Thus, m...