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

  • Report

  • 75 Pages
  • May 2018
  • Region: Global
  • Frost & Sullivan
  • ID: 4555792

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

  • 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

  • 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

  • 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

  • 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
  • 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

  • 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

  • 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

  • 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


Companies Mentioned

A selection of companies mentioned in this report includes:

  • AOBiome LLC
  • Aparito
  • Evidation Health, Inc.
  • Science 37