The implementation of Isla has illustrated that photos, videos, sound recordings and form data submitted asynchronously by patients can not only be leveraged to support the shift to remote care but also support waitlist management, reduce time to treatment and identify early signs of patient deterioration.
Isla provides the ability to both capture and receive data that can be used to inform diagnosis and the creation of a treatment plan and understand how a patient’s condition is changing over time. This is a fundamental mechanism to support the shift to remote which is required to support current and future demand on the healthcare system.
By building up a comprehensive view of the patient and providing structure for data that previously could not be captured or securely and scalably stored, clinicians are able to make efficient decisions about a patient’s care. Additionally, this data can be securely and seamlessly shared to support the direct care of a patient allowing for improved clinician communication, patient transition between services and MDT meetings.