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Updated: May 27, 2026

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia

Published on: February 16, 2024

The gastroenterologist and industry: changing winds.

Mark H Delegge¹

¹Digestive Disease Center, Medical University of South Carolina, DeLegge Medical, Charleston, SC 29425, USA. deleggem@musc.edu

Gastrointestinal Endoscopy Clinics of North America

|November 22, 2011

Summary

The medical device and pharmaceutical industries must now prove cost-effectiveness and clinical-effectiveness for regulatory approval and reimbursement. This article explores these challenges and potential solutions for the healthcare sector.

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Last Updated: May 27, 2026

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia

Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia

Published on: February 16, 2024

Area of Science:

Health Economics
Pharmaceutical Policy
Medical Device Regulation

Background:

Increasing demand for evidence-based healthcare interventions.
Mounting pressure on medical device and pharmaceutical companies for data.
Regulatory bodies like the Federal Drug Administration (FDA) require robust data.

Purpose of the Study:

To outline the challenges faced by the medical device and pharmaceutical industry.
To discuss the implications of these challenges on clinical practice.
To propose potential solutions for improving the current situation.

Main Methods:

Literature review of current regulatory and reimbursement landscapes.
Analysis of industry trends and economic pressures.
Discussion of strategic approaches for data generation and submission.

Main Results:

Companies face significant hurdles in generating cost-effectiveness and clinical-effectiveness data.
Failure to meet these data requirements can impede product approval and market access.
The burden impacts innovation and the adoption of new medical technologies.

Conclusions:

The industry must adapt to evolving evidence requirements.
Proactive strategies for data generation are crucial for success.
Collaboration between industry, regulators, and payers can streamline the process.