Clinical trials account for 40% of the pharmaceutical industry's research budget. However, the efficacy of a trial is measured through different disease severity measures and patient-reported outcomes, which are prone to errors. Wearable sensors offer a cost-effective solution, but with billions of data points generated, it often leads to data compatibility, storage, security, real-time processing, and scalability challenges. Developing an objective criterion requires technical expertise and domain-specific understanding. With over 27 years of experience in driving data and AI-driven transformations, Visionet has developed a comprehensive Intelligent Sensor Data Platform (ISDP) that offers continuous, remote patient monitoring and artificial intelligence to make sense of sensor data for outcome analysis. Such objective outcomes are more reliable in proving the efficacy of drugs while reducing the cost of clinical data collection.
Visionet's Intelligent Sensor Data Platform (ISDP) provides a comprehensive solution to effectively manage wearable sensor data in clinical trials. It offers a patented AI toolkit to extract performance outcomes and a common data model for analytics across various sensors. The platform is compliant with healthcare regulations and integrates with all wearable sensors and medical devices. ISDP delivers cost-efficient, accurate, and quantifiable drug outcomes enabling 24/7 patient condition monitoring and automating protocol adherence monitoring in trials. By streamlining the data capture, management, and AI-driven outcome analysis process, ISDP enables pharmaceutical and clinical research enterprises to maximize their ROI of wearable technology in clinical trials.
Transforms raw sensor data into complex bodily outcomes and measurements using a patent-pending AI toolkit
A pseudo-dimensional model stores sensor data and allows for evaluating outliers among cohorts and performance threshold analysis.
Implements the fundamentals and protocols required for reading data from any type of wearable sensor or biometric device.
Adheres to IT GxP for pharma and healthcare and is HIPAA/GDPR compliant for privacy.
Automatically monitors protocol adherence for improved trial outcomes.
Generates more accurate and quantitative drug outcomes using AI.
Continuously monitors patient conditions for improved clinical trial results.
Reduces the cost of capturing clinical outcomes through wearable sensors.
A leading pharmaceutical company faced challenges in streamlining data from multiple sensor devices provided by different manufacturers to measure drug efficacy. Visionet proposed an intelligent sensor data platform that standardized analytical schema, provided an ingestion layer for variety of sensors and an AI framework.
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