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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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Computer Aided Orthopaedic Surgery: Incremental shift or paradigm change?

Leo Joskowicz¹, Eric J Hazan²

¹CASMIP Lab - Computer Aided Surgery and Medical Image Processing Laboratory, The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat Ram Campus, Jerusalem 91904, Israel.

Medical Image Analysis

|July 14, 2016

Summary

This summary is machine-generated.

Computer Aided Orthopaedic Surgery (CAOS) has not become standard care despite 25 years of development. This review explores CAOS technologies, clinical impact, and challenges, suggesting a continued role for these tools in orthopaedics.

Keywords:

Computer Aided Orthopaedic Surgery Image guided surgery Medical robotics Review article for 20th anniversary issue

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Area of Science:

Orthopaedic Surgery
Medical Technology
Surgical Innovation

Background:

Computer Aided Orthopaedic Surgery (CAOS) has existed for 25 years but has not achieved standard care status, unlike in neurosurgery.
This paper examines the historical, technical, and clinical factors contributing to CAOS's adoption rate in orthopaedics.

Discussion:

The review analyzes main CAOS technologies, evaluation methods, and current publications, highlighting contrasting views on clinical impact and acceptance.
Total knee replacement surgery is used as a case study to present clinical results and differing opinions on CAOS technologies.
Challenges and opportunities in medical image analysis for CAOS and musculoskeletal radiology are discussed.

Key Insights:

CAOS technologies face varied acceptance within the global orthopaedic community.
Despite moderate adoption, CAOS offers valuable tools for orthopaedic surgeons.
Further research in medical image analysis is crucial for advancing CAOS.

Outlook:

CAOS integration into standard orthopaedic practice remains a work in progress.
Continued research and clearer demonstration of clinical benefits are needed for wider adoption.
The future of CAOS lies in its strategic application and integration into surgical workflows.