AIMC Topic: Efficiency, Organizational

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Variation in the efficiency of English general practices and associated factors: A cross-sectional study of 5069 general practices.

The European journal of general practice
BACKGROUND: Healthcare demand in English general practice exceeds supply, necessitating practice efficiency. To our knowledge, no study has explored factors associated with practice efficiency in England using a quality-adjusted output.

Leveraging industry 4.0 technologies for healthcare innovation and efficiency.

PloS one
This study investigates the specific impacts of Industry 4.0 technologies-such as artificial intelligence, Internet of Things (IoT), and data-driven automation-on collaboration, communication, service efficiency, and organizational performance within...

Unburdening Patients and Clinicians Through Automation and Artificial Intelligence: Informatics Strategies for Reducing Administrative Burden.

Journal of medical systems
Healthcare delivery systems face mounting administrative complexity that contributes to clinician burnout, medical errors, and reduced access to care for patients. This editorial explores how automation and artificial intelligence (AI) can address ke...

Applying the Model for Assessing the Value of AI (MAS-AI) Framework To Organizational AI: A Case Study of Surgical Scheduling Assessment in Italy.

Journal of medical systems
This work aims to explore the transferability of the Model for Assessing the value of Artificial Intelligence in medical imaging (MAS-AI) in the Italian context through a case-study.We applied the MAS-AI, a model for assessing AI in healthcare, to fu...

An innovative efficiency of incubator to enhance organization supportive business using machine learning approach.

PloS one
Many small businesses and startups struggle to adjust their operational plans to quickly changing market and financial situations. Traditional data-driven techniques often miss possibilities and waste resources. Our unique approach, Unified Statistic...

[Artificial intelligence in hospital logistics and operational processes].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The implementation of artificial intelligence (AI) solutions in hospital logistics is becoming increasingly important for optimizing clinical processes. This paper examines the use of AI in hospital logistics and other operational areas of healthcare...

Leveraging machine learning predicted confidence for boosting assay submission and decision-making efficiencies.

European journal of medicinal chemistry
Machine learning (ML) has become very popular, and its benefits are widely recognized within the scientific community. The ability of ML approaches to leverage large datasets to find patterns among composite single data points has made these approach...

Artificial Intelligence Solutions to Improve Emergency Department Wait Times: Living Systematic Review.

The Journal of emergency medicine
BACKGROUND: Overcrowding and long wait times in emergency departments (EDs) remain global challenges that negatively affect patient outcomes and staff satisfaction. As an emerging technology, artificial intelligence (AI) offers the potential to optim...

The AI Efficiency Paradox: Reclaiming Quality Patient Care in an Era of Optimization.

Journal of medical systems
We examine how artificial intelligence (AI) integration in healthcare may create an "efficiency paradox" where technologies designed to reduce workload can instead generate new layers of inefficiency. We argue that AI implementation strategies priori...