Imagine with me:
After successfully enrolling in a clinical study, a subject is issued a wrist tracker and a digital skin patch, and is given login credentials for a proprietary app to download on her mobile phone and tablet.
This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.
Over the course of the study, her wrist tracker and skin patch continuously collect and transmit data to her managing site and your EDC system. Additionally, the mobile app pushes her notifications related to taking medication doses, logging diary entries, and answering periodic questionnaires about what she’s thinking and how she’s feeling. Her diary entries and questionnaire answers are automatically transmitted.
One day, the investigator receives a notification that the subject’s blood pressure is running high, along with a prompt to ask whether she should be asked to come in for a visit. The investigator clicks “accept” and the subject receives a notification on her phone, along with the option to schedule her appointment online. She completes the scheduling process and makes her way into the site for her appointment.
The process we just imagined makes use of modern business process management (BPM) technology. Want to see it in action? Send us an email and we’ll show you.