Personal Health Digital Twins

Can latest intelligent digital technology help people in self-management and continuous monitoring of their personal health, longevity and quality of life while in connectivity with caregivers?

These questions take away the peace of mind of growing number of people on this planet who, by various reasons, have to live alone or be away from their parents, grandparents, relatives working in different places, cities and countries.

There is increasing number of aging people and those with chronic diseases, as well as patients discharged from hospitals. As a result of the impact of COVID-19 and modern life style, the numbers grew dramatically along with the need in effective managing and monitoring of own health and well-being, easy contacting informal and official caregivers and in effective access to medical services by remote sessions prior to physical visits to medical institutions.

The demand led to significant surge in the population perception of remote health monitoring and various commercial solutions that offer Remote patient monitoring, Telemedicine, Telecare, Telehealth, Ambient Assisted Living (AAL), etc.

However, most of them still lack of capacity for

Holistic automatic intelligent analysis of multiple complex processes that are related to individual health management, life-style, activities, living environment,
Intelligent automatic calculation and interpretation of the ongoing and predicted health status using the latest accumulated human health knowledgebase,
Keeping aging people and patients, their relatives and caregivers updated in an intelligent way that minimizes continuous monitoring overhead,
Providing intelligent positive psychological interactions with people in natural language conversations, supporting exchange of comments and multimodal message content
Having cost level affordable for large population groups to let enhanced sustainable ecosystem.

Intelligent virtual assistant for health and wellbeing monitoring

Our company implements radically new concept: To provide each individual with a personal intimate AI-driven Digital Health Assistant that

Communicates with the person at home and his/her caregivers over mobiles and smart speakers in natural language using conversational AI, enabling easy interactions with humans
Helps to set and keep planned daily schedule (medications, procedures, visits, etc.)
Continuously measures and calculates various biomarkers (vital signs, activities, metabolism, BMI, etc.), psychological/emotional metrics and home living conditions (air quality, safety) that represent human health in every possible detail at current level of medical and wellbeing knowledge
Analyses health & wellbeing status in real time and provides predictions
Interprets the results and provides the person with recommendations, reminders and prescriptive analytics regarding best possible actions aimed at keeping health and wellbeing homeostasis
Helps to set remote access to in depth evidence based personal health analytics
Supports working / health managing sessions with formal and informal caregivers at any time
Enables psychosocial support, improves resilience, offers medical services extension to people homes
Supports new methods of self-management of health under acceptable minimal costs

In our implementation architecture such Intelligent Personal Digital Twin application runs at AI-, Big Data- and IoT - driven platform PharosN in cloud and works as personal dedicated Virtual Nurse at home and outdoors using basic medical knowledgebase, intelligence and ability to speak like a human, reminding, recommending in time and asking about health and well being status. It, however, fundamentally differs from people in its non-human ability to continuously collect and automatically analyse a large number of biomarkers and other evidence data about psychological, emotional, mental, pain state of its host person during the conversations and measuring the living conditions. Having such knowledge that is updated in real time based on IoT measurements and interactions, the Intelligent Digital Health Twin informs its host and authorized caregivers about the actual or predictable critical health and safety situations, and provides the relevant recommendations in the intelligent conversational interactions similar to a real human being.

The solution integrates latest mainstream open source AI, BigData, IoT, microservices, cloud kubernetes software, non-invasive and invasive wearables and smart home sensor hardware, mobile apps with conversational AI linked to wireless technologies such as Bluetooth 5 BLE, Zigbee 3, Wi-Fi 6, Lora, 4G/5G and complies with relevant major standards of cybersecurity. The whole service package is planned to be affordable for individuals who want to improve self-management of own health and caregivers which want to improve their capacity to serve multiple people, its efficiency, quality and control the costs.

The proof-of-concept prototype of such solution was tested in the lab and Horizon 2020 project experiment SmartMozionAge, iTwinBuild, Braine, Wellbased and is being introduced into a number of new international projects.

Our comprehensive project proposal for Horizon Europe EIC Accelerator grant received the Certificate “Seal of Excellence as COVID-19 Response” in 2020 by the European Commission scored as a high-quality project proposal in a highly competitive evaluation process of 4000 applications and is recommended for investment funding.

We invite the investors interested in financing new AI-driven digital health technologies to review this unique innovation investment potential aimed at implementation of commercial health ecosystem services for the population that run the swarms of personal virtual health assistants in cloud and edge computing.

At the same time, we welcome caregiver, social care and senior support organisations having the spirit of innovation to collaborate in the prototyping, trials and participation in the joint projects financed by the European grants.

If leaving us a message please write in its subject "Health” keyword in the subject field.

Project video overview is presented here

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ILLUSTRATIONS

1. Home components supporting health and living environment monitoring

Personal eHealth Assistant for remote patient monitoring by virtual twin