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市場調查報告書

製藥臨床實驗患者招募與監測IT技術:世界市場預測 (∼2020年)

Global Pharma Clinical Trial Patient Recruitment & Monitoring IT Solutions, Forecast to 2020

出版商 Frost & Sullivan 商品編碼 648607
出版日期 內容資訊 英文 75 Pages
商品交期: 最快1-2個工作天內
價格
製藥臨床實驗患者招募與監測IT技術:世界市場預測 (∼2020年) Global Pharma Clinical Trial Patient Recruitment & Monitoring IT Solutions, Forecast to 2020
出版日期: 2018年05月17日內容資訊: 英文 75 Pages
簡介

本報告針對製藥臨床實驗患者招募與監測IT技術市場調查、提供市場與技術定義及概要、各種技術動向、引進促進因素、阻礙分析、範例分析、成長策略、未來展望。

第1章 摘要整理

第2章 市場定義、概要

  • 市場定義:臨床實驗、開發用IT技術
  • 臨床實驗患者招募與監測IT技術
    • 技術、系統種類分類
  • 最新供應商生態系統
    • 臨床實驗患者招募與監測用IT技術

第3章 宏觀與微觀情況分析

  • 6項主要題目:臨床實驗與開發數位化
  • 患者招募課題
  • 患者中心主義焦點:範例
  • 臨床實驗模式進化
  • 癌症精密醫療臨床實驗模式進化
  • 臨床實驗患者豐富化策略與範例分析
  • 非傳統型企業的加入
  • 數位連續體:IT技術引進潛力
  • 主要臨床開發用IT技術:技術生命循環

第4章 臨床實驗行動保健技術:成長機會相關討論

  • 行動保健技術分類定義
  • 行動保健生態系統技術:促進以患者中心主義的實驗
  • 成長機會:行動保健技術
  • 行動保健技術:對臨床實驗價值鏈的影響
  • 行動保健技術:現在的課題、角色
  • 行動保健技術收益預測:可戴式與智慧手機
  • 行動保健技術市場:預測前提因素
  • 預測前提因素:臨床實驗行動保健市場主要動向
  • 商業臨床實驗行動保健技術引進動向
  • 臨床實驗最新終端開發用行動保健應用
  • 行動保健的遠距離實驗:降低成本的潛在機會

第5章 臨床實驗患者電子招募技術

  • 臨床實驗患者招募策略進化
  • 臨床實驗電子招募技術:市場概要
  • 範例分析
  • MolecularMatch
  • Antidote Technologies, Inc
  • patientslikeme
  • 主要新創企業

第6章 臨床實驗遠隔與反想監測技術

  • 臨床實驗模式進化
  • 臨床實驗遠隔與虛擬監測技術市場概要
  • 範例分析:VERKKO
  • 範例分析:行動保健陪護數位療法
  • Science 37 + AOBiome LLC
  • Science 37
  • 範例分析
  • Aparito
  • Evidation Health

第7章 總論:未來情況

  • 主要產業相關人士策略必須條件
  • eClinical技術:新興技術與融合的可能性
  • 臨床實驗IoT生態系統
  • 區塊鏈:藥劑開發對價值鏈的潛在影響
  • 可戴式技術可追蹤生物識別技術
  • 革新與合作
  • 臨床實驗遠隔患者招募與監測的數位技術安裝課題

第8章 附錄

第9章 關於FROST & SULLIVAN

目錄
Product Code: K2B4-52

Wearables and Mobile Technologies Growth Opportunities in Digital Transformation Journey of Clinical Trials

Clinical trial sponsors and clinical research organizations (CROs) are facing intense pressure to change the way clinical research is conducted and justify the costs and time involved in the clinical development process. Some of the prevailing challenges in the clinical trial industry include the complexity and cost of conducting clinical trials, the failure of trials, increasing regulatory requirements for future targeted therapeutics, and the growing number of multi-regional and international trials. Among these, patient recruitment and monitoring activities are considered to be most cost and time-consuming aspect of the clinical trial process. Industry estimates suggest that about 80% of pharmaceutical clinical trials do not meet enrolment deadlines, resulting in an average loss of up to $1.3 million per day for a given drug candidate. Additionally, up to 37% of research sites fail to meet their enrolment targets, and 10% fail to even recruit a single patient for the study.

Digitization is playing a critical role in transforming clinical trials model from traditional (centralized) high-cost and difficult-to-access settings to more patient-centric and efficient virtual models. In particular, pharmaceutical companies are seeking to leverage mHealth solutions-embracing digital technologies such as wearables, smartphone Apps, and cloud-based remote/virtual clinical trial platform solutions-for improving patient engagement, preventing trial failures, and, overall, improving the drug development profitability. Early application of wearable devices and smartphone apps across remote or virtual clinical trial designs demonstrate compelling benefits around optimizing the patient recruitment process by opening up new geographies to increase access to the larger patient population and reduce trial costs by streamlining the trial processes and demonstrating real-world efficacy. Digital e-Recruitment solutions leveraging mHealth technologies and innovative crowdsourcing models promise to drive efficiency and optimize the patient enrichment strategy for future patient-centric clinical trials. This, in turn, would help to improve patient engagement with autonomous and digital workflows (e.g., eConsenting, remote monitoring, virtual training, and reminders) that reduce the burden on the patient and the caregiver. Furthermore, based on research findings, clinical trials industry participants across North America and Europe will continue to the major markets for mHealth technologies application in the clinical trial industry by 2020. Easy access and convenience factors offered by mHealth-enabled remote trials could significantly reduce patients' travel cost to the sites as they could now participate from their homes using computers and smartphones, eventually improving retention. mHealth technologies provide new possibilities to capture objective digital biomarker data, increase the reporting quality of clinical trials, and reduce SDV by eliminating errors due to with traditional paper-based reporting by patients or investigators.

Research Scope:

The research service analyzes the growth opportunities of mHealth technologies across clinical trial remote patient recruitment & monitoring applications. It also evaluates and discusses market projections, key trends, technology lifecycle, and the key implementation challenges of emerging digital solutions. Finally, it provides industry best practices, case studies, cost-benefit analysis, and strategic imperatives for key clinical trial industry stakeholders such as pharma sponsors, CRO, sites, and technology providers.

Key Issues Addressed:

  • What are the key trends and growth opportunities tied to emerging digitally-led clinical trials operating models (e.g., remote or virtual clinical trials)?
  • Which emerging tech solutions have the strongest growth potential for optimizing patient recruitment and monitoring workflows (e.g., mHealth, Wearables, etc.)?
  • What are the challenges with current clinical trial patient recruitment and monitoring workflows and how these can be filled by emerging digital health solutions?
  • How does the new ecosystem of digital solution providers look like with specific reference to clinical trials patient recruitment and monitoring?
  • What are the industry best practices for patient recruitment, trial management etc.?
  • What are the key challenges while implementing these digital solutions across the clinical development value chain?

Table of Contents

1. EXECUTIVE SUMMARY

  • Six Big Themes-Clinical Trial and Development Digitization
  • mHealth Ecosystem Solutions-Promoting Patient-centric Trials
  • Clinical Trial Digitization-Top 3 Growth Opportunities
  • Key Questions this Study will Answer

2. MARKET DEFINITION AND OVERVIEW

  • Market Definition-Clinical Trials and Development IT Solutions
  • Clinical Trials Patient Recruitment and Monitoring IT Solutions-Major Segments by Technology and System Types
  • Emerging Vendor Ecosystem-Clinical Trials Patient Recruitment and Monitoring IT Solutions

3. MACRO AND MICRO SCENARIO ANALYSIS

  • Six Big Themes-Clinical Trial and Development Digitization
  • Patient Recruitment Challenges
  • Focus on Patient Centricity-Case Examples
  • Evolving Clinical Trial Models
  • Evolving Clinical Trials Models for Precision Oncology Therapeutics
  • Clinical Trial Patient Enrichment Strategies and Case Studies
  • Entry of Non-traditional Players
  • Digital Continuity-IT Solutions Adoption Potential
  • Technology Lifecycle for Select Clinical Development IT Solutions

4. CLINICAL TRIAL MHEALTH SOLUTIONS GROWTH OPPORTUNITIES DISCUSSION

  • mHealth Technologies Category Definition
  • mHealth Ecosystem Solutions-Promoting Patient-centric Trials
  • Growth Opportunity-mHealth Solutions
  • mHealth Solutions Implications across Clinical Trial Value Chain
  • Current Challenges and Role of mHealth Solutions
  • Revenue Forecast-mHealth Solutions: Wearables and Smartphones
  • Forecast Assumptions for the mHealth Solutions Market
  • Forecast Assumptions-Key Trends for Clinical Trials mHealth Market
  • Forecast Assumptions-Key Trends for Clinical Trials mHealth Market (continued)
  • mHealth Technologies Adoption Trends in Commercial Clinical Trials
  • mHealth Application for Developing Novel Endpoints for Clinical Trials
  • mHealth-based Remote Trials-Potential Cost-Saving Opportunities

5. CLINICAL TRIAL PATIENT E-RECRUITMENT SOLUTIONS

  • Evolving Clinical Trial Patient Recruitment Strategies
  • Clinical Trial e-Recruitment Solutions Market Overview
  • Select Case Studies-How mHealth Solutions Optimize Patient Recruitment and Retention for Clinical Trials?
  • MolecularMatch-Democratizing Cancer Clinical Trial Patient Recruitment
  • Antidote Technologies, Inc-Democratizing the Clinical Trial Process
  • patientslikeme-Online Patient Social Network (US)
  • Clinical Trial Enrichment-Technology Select Start-ups

6. CLINICAL TRIAL REMOTE AND VIRTUAL MONITORING SOLUTIONS

  • Evolving Clinical Trial Models
  • Clinical Trials Remote/Virtual Monitoring Solutions Market Overview
  • Case Study-VERKKO: First Remote Clinical Study in Europe
  • Case Study-mHealth Enabled Companion Digital Therapy
  • Science 37 + AOBiome LLC-Virtual Trial Microbiome Acne Treatment
  • Science 37-Expanding Pharma Sponsor Collaborations
  • Select Case Studies-How mHealth Solution Optimizes Patient Reporting and Engagement?
  • Aparito-Remote Patient Monitoring for Pediatrics and Orphan Diseases (UK)
  • Evidation Health-SaaS platform for Behaviour-focused Studies

7. CONCLUSION-FUTURE SCENARIO

  • Strategic Imperatives for Key Industry Stakeholders
  • eClinical Solutions Convergence Potential with Emerging Technologies
  • Clinical Trials Internet of Things (IoT) Ecosystem-2025
  • Blockchain-Potential Impact across Drug Development Value Chain
  • Biometrics that Can be Tracked by Wearable Technologies
  • Partnering to Innovate-Beyond Conventional Boundaries
  • Key Challenges for Implementing Digital Solutions for Clinical Trial Remote Patient Recruitment and Monitoring
  • Legal Disclaimer

8. APPENDIX

  • List of Exhibits
  • List of Exhibits (continued)

9. THE FROST & SULLIVAN STORY

  • The Frost & Sullivan Story
  • Value Proposition-Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360° Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy