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Issues And Trends In Healthcare Delivery System01:29

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
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Quality Assurance01:19

Quality Assurance

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

Clinically Relevant Drug Product Specifications: Methods of Establishment

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Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
178
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
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臨床試験のためのブロックチェーン活用品質設計(QbD)システム

Reza Vatankhah Barenji1, Reza Ebrahimi Hariry2

  • 1Department of Engineering, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.

Frontiers in medicine
|December 22, 2025
PubMed
まとめ

ブロックチェーン技術は、データ整合性と参加者の安全性を向上させることにより、臨床試験の品質設計(QbD)を強化します。この安全で分散化されたアプローチは、データの一貫性を高め、プロセスの検証を強化し、より良い試験管理を実現します。

科学分野:

  • 臨床研究;データ管理;情報技術

背景:

  • 品質設計(QbD)は臨床試験の整合性にとって極めて重要です。;現在の試験におけるデータ管理は、整合性と透明性に課題を抱えています。;ブロックチェーン技術は、安全で分散化されたデータ処理のための新しいソリューションを提供します。

研究 の 目的:

  • 臨床試験のためのブロックチェーン活用品質設計(QbD)アーキテクチャを開発・評価すること。;臨床試験プロセスにおけるデータ整合性、参加者の安全性、トレーサビリティを向上させること。;臨床データ管理におけるブロックチェーン統合の実現可能性とスケーラビリティを実証すること。

主な方法:

  • ブロックチェーン活用QbDアーキテクチャを開発しました。;Hyperledger Fabricを使用してプロトタイプを実装しました。;パイロット臨床試験データを使用してシステムの適用性を評価しました。

主要な成果:

  • アーキテクチャは、不変のデータ交換とQbD活動のトレーサビリティ向上を促進しました。;ステークホルダー間の安全なコラボレーションがサポートされました。;データの一貫性が向上し、試験プロセスの自動検証が可能になりました。

結論:

  • ブロックチェーン技術は、臨床試験におけるQbDの実装を効果的に強化します。;提案されたアーキテクチャは、データ統合、透明性、安全性モニタリングを改善します。;このモデルは、将来の臨床データ管理システムのための実現可能でスケーラブルなソリューションを提供します。
キーワード:
PDCAブロックチェーン技術臨床試験創薬品質設計

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