AIMC Topic: Health Personnel

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A comparison of rule-based and machine learning approaches for classifying patient portal messages.

International journal of medical informatics
OBJECTIVE: Secure messaging through patient portals is an increasingly popular way that consumers interact with healthcare providers. The increasing burden of secure messaging can affect clinic staffing and workflows. Manual management of portal mess...

Canary: An NLP Platform for Clinicians and Researchers.

Applied clinical informatics
Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared t...

Using machine learning to support healthcare professionals in making preauthorisation decisions.

International journal of medical informatics
BACKGROUND: Preauthorisation is a control mechanism that is used by Health Insurance Providers (HIPs) to minimise wastage of resources through the denial of the procedures that were unduly requested. However, an efficient preauthorisation process req...

A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing.

Journal of substance abuse treatment
Motivational interviewing (MI) is an efficacious treatment for substance use disorders and other problem behaviors. Studies on MI fidelity and mechanisms of change typically use human raters to code therapy sessions, which requires considerable time,...

Situated Agents and Humans in Social Interaction for Elderly Healthcare: From Coaalas to AVICENA.

Journal of medical systems
Assistive Technologies (AT) are an application area where several Artificial Intelligence techniques and tools have been successfully applied to support elderly or impeded people on their daily activities. However, approaches to AT tend to center in ...

A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time.

Applied clinical informatics
OBJECTIVE: To save time, healthcare providers frequently use abbreviations while authoring clinical documents. Nevertheless, abbreviations that authors deem unambiguous often confuse other readers, including clinicians, patients, and natural language...

Point-of-Care Knowledge-Based Resource Needs of Clinicians: A Survey from a Large Academic Medical Center.

Applied clinical informatics
OBJECTIVE: To better understand the literature searching preferences of clinical providers we conducted an institution-wide survey assessing the most preferred knowledge searching techniques.

Factors Shaping Healthcare Professionals' Perceptions of AI in Saudi Arabia: A Cross-Sectional Study.

Studies in health technology and informatics
The successful adoption of artificial intelligence (AI) in healthcare relies on healthcare professionals' perceptions of its usefulness and their preparedness to integrate it into their practice. This study explores factors influencing these percepti...