Hype Cycle for Life Science Research and Development, 2016
Archived
Published: 19 July 2016
ID: G00304001
Analyst(s): Michael Shanler
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Summary
R&D CIOs are challenged with prioritizing IT investments across a wide range of technologies to help develop new drugs, devices and therapies. To be effective, leaders must augment a very diverse portfolio of scientific, laboratory and information technologies across a shifting environment.
Table of Contents
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Analysis
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What You Need to Know
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The Hype Cycle
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The Priority Matrix
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On the Rise
- IoT-Enabled Laboratory
- Wearable Devices for Clinical Trials
- RWE for Clinical Trials
- Nanomedicine
- Centralized Monitoring/RBM
- Smart Data Discovery
- Mobile Laboratory Applications
- Proactive Search
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At the Peak
- Adaptive Trials
- Clinical Trial Data Transparency
- SaaS-Regulated EDMS
- Genomics Medicine
- NLP
- Enterprise Laboratory Informatics
- Machine Learning
- 3D Bioprinting for Life Science R&D
- Data Lakes
- Cloud-Based Drug Discovery Platform
- 3D Printing of Medical Devices
- Patient Communities for Trial Recruitment
- SaaS-LIMS
- Cloud ELN
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Sliding Into the Trough
- Semantic Knowledge Graphing
- Compliant GxP Cloud
- Precompetitive Alliances
- Big Data in R&D
- EHR-Based Clinical Studies
- Innovation Management Technology for Product Development
- Enterprise IP Management
- Pharma PLM
- Scientific Text Analytics and Annotators
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Climbing the Slope
- Clinical Resource Management
- E-Clinical
- eTMF
- Structured Content and Product Label Management
- Electronic Laboratory Notebook
- Formula and Recipe Management
- Global Regulatory Information Management
- Scientific Analytics
- Medical Devices — PLM
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Entering the Plateau
- Global Pharmacovigilance/Safety/AERS
- LIMS
- ePRO, E-Patient Diaries and eCOA
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Appendixes
- Hype Cycle Phases, Benefit Ratings and Maturity Levels
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What You Need to Know
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Gartner Recommended Reading
