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Issues And Trends In Healthcare Delivery System

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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
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Implementation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice.

David Y Zhang¹, Arsha Venkat², Hamdi Khasawneh³

¹Department of Computation, NovinoAI, Fort Lauderdale, Florida; Department of Veterans Affairs New York Harbor Healthcare System, New York, New York.

Laboratory Investigation; a Journal of Technical Methods and Pathology

|July 25, 2024

Summary

Digital pathology and artificial intelligence (AI) are revolutionizing diagnostics, improving efficiency and patient care. Regulatory frameworks are adapting to support these advancements in pathology.

Keywords:

Food and Drug Administration approval artificial intelligence artificial intelligence diagnostics artificial intelligence pathology artificial intelligence prognostic artificial intelligence treatment digital pathology whole slide imaging

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Area of Science:

Digital Pathology
Artificial Intelligence in Pathology
Regulatory Science

Background:

Affordable technology drives digital pathology adoption.
Artificial intelligence (AI) offers transformative potential in diagnostic automation.
Evolving regulatory landscapes impact digital pathology implementation.

Purpose of the Study:

Review latest developments in digital pathology.
Outline AI applications in digital pathology.
Examine US regulatory frameworks for digital pathology.

Main Methods:

Analysis of original research articles.
Review of official United States Federal guidelines.
Synthesis of information on regulatory standards and policies.

Main Results:

FDA-approved systems support digital pathology integration.
AI automates diagnoses for cancers like prostate and colorectal.
Regulatory bodies (FDA, CMS/CLIA, CAP) are adapting standards.
CMS/CLIA policies enable remote digital pathology diagnostics.
New CPT codes facilitate digital pathology reimbursement.

Conclusions:

Digital and AI technologies promise enhanced diagnostic precision and efficiency.
Advancements improve patient care, education, and research.
Addressing challenges like data privacy and bias is crucial for AI integration.