Elin Haf Davies
Founder
Aparito
Aparito's Atom5™ eCOA platform digitizes clinical trials by capturing high-frequency data through video assessments, wearable devices, and electronic patient-reported outcomes (ePROs). This technology enables clinical teams to obtain real-time insights from real-world data, enhancing the efficiency and accuracy of trial monitoring.
- Artificial Intelligence
- Digital Health
- Healthcare Technology
- Software Only
Updated 23 months ago
Funding
Raised to date
$1.3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Traditional clinical trials often struggle with infrequent data collection, leading to incomplete or delayed insights into patient health and treatment efficacy. Relying on periodic clinic visits and patient recall introduces potential inaccuracies and limits the ability to capture real-world patient experiences.
Solution
Aparito's Atom5™ eCOA platform addresses these challenges by digitizing clinical trials and enabling continuous, high-frequency data capture through various modalities. The platform integrates video assessments, wearable devices, and electronic patient-reported outcomes (ePROs) to provide a comprehensive view of patient health. By leveraging machine learning, Atom5™ delivers real-time insights to clinical teams, enhancing the efficiency and accuracy of trial monitoring while reducing reliance on traditional, less frequent data collection methods. The platform's telemedicine and eConsent capabilities further streamline the clinical trial process.
Target Audience
The primary target audience includes pharmaceutical companies, clinical research organizations (CROs), and academic institutions conducting clinical trials who seek to improve data quality, reduce trial costs, and accelerate drug development timelines.
Features
- Video assessments for remote monitoring of patient condition and treatment response
- Integration with wearable devices to capture continuous physiological data
- Electronic patient-reported outcomes (ePROs) for real-time feedback on symptoms and quality of life
- Telemedicine capabilities for remote consultations and patient support
- eConsent functionality for secure and efficient informed consent processes
- Machine learning algorithms for real-time data analysis and insights generation
- 21 CFR Part 11 compliance for data integrity and security
- ISO 27001 certification for information security management