Using AI-Enriched Electronic Health Record Data to Access an Additional 75% of Data to Drive Real-World Evidence and Trial Recruitment in Mental Health and Dementia
Author(s)
Tina Marshall, N/A, Akrivia Health, Oxford, UK and Benjamin Fell, PhD, Akrivia Health, Oxford, UK
Akrivia Health curates a database of 4.5m patients’ deidentified electronic health records from NHS secondary care psychiatric healthcare organisations, enriched with a bespoke, AI-based natural language processing pipeline (Akrivia Synapse™). This presentation will explore how we use this uniquely rich and demographically diverse dataset to generate real world evidence (RWE) and drive recruitment for prospective research and clinical trials. Understanding how to effectively utilise this powerful data resource can allow critical research questions in mental health and dementia to be addressed, and can streamline patient recruitment for clinical trials.
In this session, we will examine how Akrivia Health is supporting HEOR activities by deploying large scale, AI-enriched real-world data to deeply characterise patient populations, monitor treatment effectiveness, and map care outcomes.
Sponsored by Akrivia Health
Conference/Value in Health Info
2023-11, ISPOR Europe 2023, Copenhagen, Denmark
Code
123
Topic
Real World Data & Information Systems