Optimizing clinical trials through IT

Date: May 22, 2011
Pages: 82
Price:
US$ 3,835.00
Publisher: Business Insights
Report type: Strategic Report
Delivery: E-mail Delivery (PDF)
ID: OE215C21C5EEN
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Optimizing clinical trials through IT
Introduction

A wide variety of information technologies are now employed in support of clinical trials. Pharma companies are beginning to take a more holistic view and seek to integrate their management and oversight of the trial. This report examines how industry trends are shaping these technologies, and how they can be optimally applied to improve, quality, safety and efficiency in clinical trials.

Features and benefits
  • Examine the trends shaping clinical trials.
  • Learn how social media are being used in patient recruitment.
  • Analyse the potential of electronic health record data in clinical development.
  • Review the ways in which cloud computing is changing clinical trials.
  • Understand the future of information technology use in clinical trials.

Highlights

The EDC market is forecast to grow at a CAGR of 13%, reaching $1.2bn in 2016. EDC will be employed in smaller studies as services become commoditized and set-up times and costs reduce. The key trend within EDC is the move towards an integrated eClinical approach in which data from multiple sources is integrated in a hub arrangement.

The majority of trial sites do not meet their enrolment targets. To address this, a variety of sources of data can be used to optimize patient recruitment through better protocol design, site selection and patient identification. Site performance data, electronic patient records, and health information networks are the key sources.

Cloud architecture will gain penetration, which will reduce the demand for internal IT resource. In parallel, patients, site staff and trial managers will access trial software using wide range of channels and devices. Pharma sponsors will take an increasingly holistic view, enmeshing their information strategies with wider organizational goals.

Your key questions answered
  • How can data integration be achieved, and what benefits does this offer?
  • In what ways are electronic health records being used to improve clinical trials?
  • How can technologies be optimally integrated in clinical trials?
  • How will the EDC market change to 2016?
  • How can social media be used to improve patient recruitment?
EXECUTIVE SUMMARY

Introduction
Patient recruitment
Data collection
The future of clinical trial technologies

ABOUT THE AUTHOR

Disclaimer

INTRODUCTION

Summary
Introduction
The changing face of R&D
  Healthcare reform
  Cost cutting
Trends in clinical trials
  Increasing costs
  Globalization
  Outsourcing
  Regulatory harmonization
  The rise of electronic data capture (EDC)
  Clinical trial transparency
  Increasing patient-centricity

PATIENT RECRUITMENT

Summary
Introduction
Exploiting data in patient recruitment
  Case study - Mediguard.org
Electronic health records (EHR)
  Health information exchanges (HIEs)
  Challenges to EHR use in patient recruitment
Web-based patient recruitment
  Understanding and targeting online patients
  Social media
Conclusion

DATA COLLECTION

Summary
Introduction
Electronic data capture (EDC)
  Introduction
  Pros and cons of EDC
  EDC market dynamics
  Trends
Electronic health records (EHR)
  Definition
  Impact
  Implementation
  EHR use in clinical trial data collection
Interactive web and voice response systems (IWRS/IVRS)
  Adaptive trials
  Globalization of trials
Data collection from devices
  Apps
  Direct data capture from devices
Electronic patient recorded outcomes (ePRO)
  Introduction
  Pros and cons of ePRO
  Cost considerations of ePRO
  Outlook and opportunities in ePRO

THE FUTURE OF CLINICAL TRIAL TECHNOLOGIES

Summary
Introduction
Efficient data integration is key
Specialized solutions will succeed over general ones
Cloud computing will dominate
Clinical trial technology application in emerging markets
Clinical trial data will increasingly be available in real time
Conclusion

APPENDIX

Scope
Methodology
  Primary research
  Secondary research
Glossary/abbreviations
Bibliography/References
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