What Patient-Powered Data Platforms Are — And Why They Matter
Patient-powered data platforms are digital systems that let individuals collect, control, and share their complete medical histories, creating consented, research-ready real-world health data that can improve clinical research and healthcare AI while preserving privacy and choice. Novellia is a leading example of this model. Instead of depending on fragmented insurance claims or partial hospital records, the company enables people to securely aggregate health records from hospitals, clinics, and laboratories into a single, unified health profile. From there, patients decide if anonymized and deidentified information can be contributed to clinical research data pipelines. This approach turns patients from passive data subjects into active partners, while giving researchers more complete longitudinal records. As Novellia scales, it points to a future where patient data platforms form a critical layer in healthcare infrastructure, supporting AI models, clinical trials, and drug development.
Novellia’s USD 18 Million Series A and Expanding Pharma Demand
Novellia has raised USD 18 million (approx. RM82.8 million) in Series A funding led by Spark Capital, with participation from Khosla Ventures, Acrew Capital, Bling Capital, and TMV. The round brings its total funding to USD 28 million (approx. RM128.8 million) and follows multiple seven-figure, multi-year contracts with some of the world’s largest pharmaceutical and diagnostics companies. According to Spark Capital’s Alex Finkelstein, major drug makers had data that was “too old, too slow, and too disconnected from patients,” and Novellia is “dramatically changing how medicines are developed.” The new capital will help scale its AI-powered patient data platform, expand commercial relationships, and support a newly launched mobile app that brings unified health records directly to patients’ phones. For investors, this is a clear bet that patient-controlled real-world health data will become core to both drug development and healthcare AI funding trends.
From Fragmented Records to Research-Ready Real-World Health Data
Traditional real-world data for clinical research often comes from claims databases and hospital systems that miss key parts of a patient’s story. Novellia estimates this ecosystem costs more than USD 50 billion (approx. RM230 billion) annually, yet frequently lacks complete information. Its platform tackles that gap by letting patients pull records from hospitals, physician offices, and labs into one longitudinal file, reportedly consolidating up to 20 years of medical history in about 30 seconds. Novellia then applies proprietary natural language processing to unstructured material like physician notes, lab narratives, and diagnostic reports. The result is research-ready datasets that reflect real-world health data more accurately than siloed administrative sources. Because patients provide explicit consent, the data sits in a new category: both more complete and ethically sourced, with clear audit trails around privacy, deidentification, and data-sharing choices.
Empowered Patients, Stronger AI Models, Better Clinical Insights
Patient-powered data platforms change who benefits from clinical research data and how. Novellia’s system is designed “to place patients at the center of medical research,” giving individuals secure access, organization tools, and ongoing control over their health records. Its new mobile app extends the same capabilities beyond the web, allowing people managing complex or chronic conditions to reduce administrative burdens while maintaining ownership of their histories. On the research side, richer longitudinal datasets improve the training of healthcare AI models used for drug development, diagnostics, and outcomes research. Peer-reviewed work supported by Novellia has already appeared at major medical conferences such as ASCO and SABCS-AACR, signaling growing scientific acceptance. With nearly 70% of patients open to contributing data when control and privacy are respected, platforms that align incentives for both sides are likely to gain traction.
A Signal for Decentralized Healthcare Data Infrastructure
Novellia’s Series A is part of a broader shift away from centralized, institution-owned data silos toward decentralized healthcare data infrastructure built around patient consent. As pharmaceutical companies seek fresher, more representative real-world health data for AI and clinical research, they are turning to platforms that start with the patient rather than the payer or hospital. The surge in healthcare AI funding around such models reflects a strategic recalibration: long-term value lies in data that is complete, longitudinal, and ethically collected. For regulators and health systems, this raises practical questions about standards, interoperability, and oversight, but it also opens the door to more inclusive research that better reflects diverse patient journeys. If Novellia and similar platforms can maintain trust and scientific rigor at scale, the default way clinical data is sourced for research may shift permanently toward patient-powered networks.
