Doctaly Assist is a market leading Remote Patient Monitoring platform, built from the ground up with support and guidance from leading Professors, Clinicians and Research Professionals at King’s College, King’s Health Partners, Imperial College, Oxford University and South East London CCG to develop and refine our patient friendly chatbot and supporting algorithms.
Our unique chatbot functionality, bespoke to the NHS, provides NHS clinicians with a valuable tool to easily and efficiently support their patients with a wide variety of Long Term Conditions (LTCs), including asthma, diabetes, hypertension, COPD and Mental Health problems. We are also currently providing a Covid-19 specific version of the platform to NHS patients, as part of the UK response to Coronavirus.
Patients provide their symptoms and vital signs through a user friendly and familiar interface, whilst our platform enables clinicians to remotely monitor them based on urgency, ensuring that the most unwell patients are flagged, prioritised and escalated for further care in the most appropriate clinical setting.
Assist’s ‘Virtual Ward’ view helps clinicians to track patient data and symptom progression to maintain ongoing patient care and support, flag patients with worsening symptoms and notify clinicians of a patient’s deteriorating health in real-time when they are out of the clinical setting.
A smart, data-driven, population-level solution makes patient monitoring more robust through standardisation, and more efficient by allowing a smaller number of clinicians to manage a larger number of patients, safely and effectively.
The Doctaly Assist platform allows NHS services such as GP practices, Community providers and Hospitals to work together to continuously monitor and engage with their patients. This will ensure that the health service is not overburdened and that clinician time is purely focussed on those patients who most need it by reviewing those, where the data flags concerns. The platform will help to ensure that deteriorating patients are picked up earlier and conveyed to hospital sooner, improving their chances of a more successful outcome.
Following a short clinical assessment, patients are then presented to healthcare professionals on the Assist platform, in order of a suggested risk category based on their answers, so that a clinician can contact those with the greatest urgency first and also delegate low-risk patients to others (e.g. nursing colleagues). The platform therefore enables clinicians to remotely monitor and optimise care delivery based on local arrangements, ensuring population health management based on urgency, and ensuring that the sickest patients are flagged, prioritised and escalated for further care in the most appropriate setting.
With no need for downloading new apps or adopting new technologies, patients simply use WhatsApp or iMessage on their smartphone to upload verifiable personal health data, including vital signs such as temperature, respiration rate and heart rate. We also have a solution for non smartphone users.
Giving patients the ability to conveniently submit responses and symptoms to clinicians via their smartphones reduces the need for face-to-face assessments, and ensures that long term conditions are safely monitored by the appropriate qualified healthcare professional. Should there be a concern or further information required, healthcare professionals can communicate directly with the patient over WhatsApp/iMessage or telephone.FAQs
Where can the platform be used?
Doctaly Assist is now delivering Remote Patient Monitoring services to a population of circa 2.1m patients in London. We are also an officially accredited supplier on the UK Government’s Spark Dynamic Purchasing System Framework.
Whilst currently providing services to UK based patients, the Assist platform has global appeal due to its capabilities in the immediate Covid-19 response, but also in the shift to remote management for long term conditions in any healthcare system. We are in discussions with a number of international healthcare teams and look forward to bringing further efficiencies and supporting both clinicians and patients in a growing number of clinical areas.
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