Real World Data
Collection & processing of RWD
Our living habits can be enumerated using data attributes about our lifestyle, obtained in our natural environment, outside of the clinical setting.
This data is termed Real-World Data (RWD) and although it does not provide a detailed understanding of the clinical status of a person, its ubiquitous collection allows a dense description of peoples’ lifestyle.
Healthentia is collecting several types of RWD and offers advanced AI tools for processing, to derive insights and services, such as synthetic data for control arms. The collected RWD attributes supported are physiological, psychological, social and environmental.
Capabilities
Physiological RWD
The physiological attributes of RWD have to do with the human body, its activities and adverse events. They are mostly measured using activity trackers and/or smartphones but are also reported. Physiological data include activity, sleep, composite tests like the six-minute walk test (6MWT), frailty tests and self-reported symptoms by the participant. Further attributes include nutrition liquid intake and the menstrual cycle.
Social RWD
The social RWD attributes enumerate study participants’ social life, such as information that can be measured indirectly using attributes about the usage of the phone (diversity, duration, frequency of calls) and social media (diversity, number, frequency of interactions).
Psychological RWD
The psychological RWD attributes refer to the emotions of the study participants and are mostly reported and include at a high-level simple emotional state self-assessment, but when deemed necessary the collected information goes deeper using standardized reports from professional therapists monitoring the patients.
Environmental RWD
The environmental RWD attributes attempt to enumerate the environment that study participants live in. The weather, the type like urban or residential and the quality of air and pollution.
