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Remote patient monitoring

We work with healthcare professionals using biomarkers and other data to create digital therapeutics uniquely suited to each patient.

How it works?

Benefits

01

24/7 care

Chronic conditions require ongoing care, and an individual's personal regimen can change day to day, hour to hour. Monitoring health at different times and on different days can give clinicians a more complete picture of the cycles of a patient's condition and can help physicians identify medical and behavioural remedies that are likely to have the greatest impact on improving the patient's overall health. Between doctor visits, digital therapeutics provide patients with the peace of mind that comes with continuity of care.

02

Personalization

Guided by patient data inputs, machine learning models can predict an individual's specific treatment indicators. As with all predictive technology, the more information gathered, the easier it is to quickly and proactively spot health aberrations that require attention. As patterns in a patient's health and behaviour are captured, the system performs medically appropriate therapeutic interventions, according to the characteristics and the situation of the specific individual.

03

Self-management

As patients self-report health indicators and receive alerts and real-time data from devices, they are empowered to self-manage their conditions. Data analysis helps patients spot and understand changes in their health and gives them the information they need to have more productive discussions with their clinicians about their illness and treatment options.

04

Behavioral change

Digital therapeutics provide a unique opportunity to improve chronic disease through behavioural change. By collecting and drawing correlations between biometric data and healthy behaviours such as diet and exercise, digital therapeutics guide patients toward choices that lead to a healthier lifestyle.

05

Privacy & security

Self-reported patient health data is guarded and protected in accordance with GDPR requirements. Strict data security safeguards protect data against intentional and accidental unauthorised access.

06

Clinical validation

Co-developed with universities and medical institutions, dHealthIQ digital therapeutics are subjected to rigorous validation through clinical trials.

Technology

What makes dhealth unique?

User-Friendly Mobile App

dHealth patients use the service through a mobile app, often in conjunction with a wearable smart technology device. The use of mobile technology ensures that regardless of the time of day or the patient’s location, dHealthIQ is always available to capture data or send medical-related alerts and reminders.

Cloud-based clinician platform

dHealth’s cloud-hosted platform ensures that the full breadth of data on each patient is always available to clinicians through password-protected access. Anytime access to patient data enables clinicians to monitor recent changes in patient health and behaviours and adjust treatment accordingly.

Data Science

Digital therapeutics support clinicians and patients through the analysis of comprehensive data specific to each patient. As patients self-report their medication compliance, medical measures, such as blood sugar readings, and lifestyle choices such as dietary habits, or the amount of time they have slept or exercised, that data is stored and analyzed for patterns, correlations between different factors, and inconsistencies or aberrations. Over time, as a growing collection of data is captured and stored, AI technology becomes increasingly proficient at detecting trends or deviations in data.

Digital Twin (AI)

Through modelling patterns in patient data, AI technology essentially creates a “digital twin” for each patient that simulates the health status of the patient as captured from self-reported data. Machine learning models become adept at inferring missing parameters from each patient’s personalized statistical model. A “digital twin” is an essential tool for moving from one treatment-for-all to intuitive personalized treatment.

FAQ

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