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Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

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[Big Data and AI Utilization in Stroke Care].

Kunihiro Nishimura¹

¹Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center.

No Shinkei Geka. Neurological Surgery

|February 16, 2022

Summary

This summary is machine-generated.

Big data analysis of neurosurgical diseases is growing, with over 5 million stroke cases recorded. This paper explores big data applications and future prospects in neurosurgery, referencing a 2021 Japanese Neurosurgical Association meeting.

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Area of Science:

Neurosurgery
Medical Informatics
Big Data Analytics

Background:

Over 5 million stroke cases are registered in the American Heart Association/American Stroke Association's Get with the Guideline Stroke database in the US and Europe.
Studies increasingly assess the provision of standard treatment for diseases using process indicators in the US and Europe.
The Japanese Neurosurgical Association's 2021 Annual Meeting highlighted advancements in neurosurgical data analysis.

Purpose of the Study:

To discuss the application of big data in neurosurgical diseases.
To explore the future prospects of big data in neurosurgery.
To summarize key insights from the 2021 Japanese Neurosurgical Association meeting regarding big data.

Main Methods:

Review of big data applications in neurosurgical disease management.
Analysis of trends and case data from major stroke registries.
Focus on presentations from the 2021 Japanese Neurosurgical Association Annual Meeting.

Main Results:

Big data enables detailed analysis of treatment adherence and patient outcomes in neurosurgery.
The use of large-scale databases like 'Get with the Guideline Stroke' is crucial for quality improvement.
Emerging applications of big data promise enhanced diagnostics and personalized treatment strategies in neurosurgery.

Conclusions:

Big data utilization is transforming neurosurgical research and clinical practice.
Continued exploration of big data is essential for advancing neurosurgical care and understanding disease.
Future prospects include predictive modeling and optimized treatment pathways driven by big data insights.