Studies
AI-driven clinical study management with decentralized recruitment, real-time monitoring, and automated data capture from participants nationwide.
Overview
Medeloop Studies is an end-to-end, AI-driven study management platform designed for early-stage clinical research and trials. Built for research teams operating on both desktop and mobile, it centralises participant recruitment, scheduling, data collection, regulatory compliance, and real-time monitoring into a single secure warehouse — eliminating the fragmentation and manual overhead that slow clinical research down.
Studies is purpose-built to address the core pain points of clinical operations: managing a multitude of concurrent tasks such as patient recruitment and protocol adherence, reducing manual tracking errors in busy research environments, and keeping documentation continuously aligned with strict regulatory standards. A team of AI agents works alongside researchers from study initiation through to completion, translating research questions into study designs and continuously refining them through conversational feedback.
Minimal-Effort Study Initiation
- Rapidly configure protocols and launch studies using an AI-powered electronic data capture (EDC) system.
- Automatically generate case report forms (CRFs) and track adverse events (AEs and SAEs).
- Ensure regulatory compliance with standards such as 21 CFR Part 11, reducing manual data entry and minimising errors.
- The AI agent translates a research question into a full study design and enhances it through conversational feedback, facilitating alignment between users' domain expertise and the AI's analytical capabilities.
Decentralised Trials and Smart Recruitment
- Launch fully decentralised trials by defining inclusion and exclusion criteria, then instantly scanning nationwide patient datasets to identify eligible participants.
- AI-driven patient identification and strategic partnerships through the Medeloop activator network accelerate recruitment and support diverse cohort enrolment at scale.
- Retrieves relevant data from multiple sources using advanced matching techniques and automates large-scale data access and structuring for seamless analysis.
- Ensures high-quality, consistent, and validated data while reducing human errors and improving reproducibility through standardised processing.
- Real-time analytics provide continuous insights into recruitment progress.
Participant-Centric Data Collection
- Engage participants directly via the Medeloop Studies mobile app, capturing data from EHRs, wearables, dietary tracking, and environmental sensors.
- Supports PRO/PROM surveys, enabling real-time communication and data collection directly from participants.
- Geography is not a barrier — the activator network and mobile app connect researchers to participants across the country.
Real-Time Monitoring and Medication Adherence
- Track study progress and participant health metrics through dynamic, real-time dashboards.
- Built-in tools schedule medication reminders, monitor adherence, and alert researchers to irregularities, enabling timely intervention.
- Standardised methods ensure statistical validity and elevate the quality and rigour of analytical choices.
- Streamlines complex analyses — including machine learning and advanced statistics — for non-expert users, and enhances transparency by documenting model selection, parameters, and code.
AI-Powered Analytics and Insights
- Medeloop's AI engine analyses incoming data streams in real time, automatically flagging trends and safety signals.
- Researchers can query data using natural language and receive immediate answers without writing code, accelerating decision-making and protocol optimisation.
- Encourages adaptive research methods and continuous improvement by building on prior analyses and feedback.
- Promotes knowledge accumulation and facilitates synergy between data-driven insights and domain expertise.
- Delivers simple-to-understand summaries and visualisations of complex statistics, improving accessibility for non-technical stakeholders and highlighting limitations to guide responsible conclusions.
Automated Documentation and Compliance
- Organise all study documents securely into audit-ready eBinders within the Studies platform.
- Electronic signatures and automated compliance workflows streamline approval processes.
- Continuously updates and verifies documentation to meet strict regulatory standards.
Medeloop Studies is available on both desktop and mobile platforms, integrating with EHRs, wearable devices, and environmental sensors. Its centralised, secure data warehouse and compliance-ready architecture make it suitable for research teams seeking to run decentralised, technology-enabled clinical studies at scale.

