Final version for H2HCare architecture

H2HCare consortium released the 2nd and final version for the H2HCare platform architecture as deliverable D1.4 (see Library section)

The refined version of the H2HCare conceptual architecture comprises three customizable services that take advantage of various techniques and technologies such as IoT sensors, artificial intelligence and social digital assistants to improve post-discharge follow-up and adherence to treatment plan and to reduce communication gaps for an optimal transition of care journey for the patients with heart failure: Pre-discharge Comprehensive Elders Risk Assessment Service, Older Adult Post-Discharge Monitoring and Follow-up Service and Digital assistant-based Coaching and Intervention Service. For each service the high-level interfaces are added in D1.4 together with the envisioned interaction flow inside the architecture to better highlight the integration process that will be used in H2HCare.

The selected technologies for building the H2HCare system comprise of: TelluCloud IoT monitoring infrastructure that will be adapted and enhanced for H2HCare specific needs; Machine Learning (ML) and Big Data Analytics techniques to process the heterogeneous and distributed streams of monitored data to establish the baseline Daily Life Activities of older adult and to detect changes in patients’ activity routines which may signal progression of his/her symptoms; KOMP digital assistant used to include care feedback and anticipatory guidance for transitional care and solutions to help doctors in creating intervention roadmaps and list of actions / activities that can be delivered directly to the other adults; AV1 telepresence digital assistant which enables one-way video streaming and two-way audio streaming to be used in the controlled environment testing.

H2HCare recruitment and test protocol

In January 2021, the H2HCare consortium released the first version of the H2HCare plans for end-user recruitment and test protocols as part of deliverable D3.2 – Recruitment and test protocol.

This deliverable describes the different usability tests: heuristic evaluation, formative tests and different field trials necessary to carry out user-centered development within the H2HCare project.  In particular, it defines the recruitment strategies, the number of all types of end-users required for each usability test/testing location and elucidates all other tests-related administrative aspects. This deliverable will also go through all work plans/schedules, sample size and tests methodologies, making all general information available to enable the consortium to have an overview of the different stages of a longitudinal evaluation in a real-life context.

1st version for services co-design

In January the H2HCare consortium released the first version of the H2HCare system services design together with their associated mockups as part of deliverable D1.3 – Services co-design and intelligent dashboard mock-ups – 1st version.

This deliverable describes the technical aspects, interfaces design and internal data flows of the three different service components that will be integrated into the H2HCare platform: Pre-discharge Comprehensive Elders Risk Assessment Service, Older Adult Post-Discharge Monitoring and Follow-up Service and Digital assistant-based Coaching and Intervention Service. The services are described using the 4+1 architectural view model.

The complete version of the deliverable can be found in the Library section of the website.

AAL/H2020 projects workshop

H2HCare coordinator participated to a workshop at the Proinvent 2020 event where the ongoing AAL projects H2HCARE , ReMemberMe  and ReMIND participated with presentations about the current research and development activities in each project. The participants exchanged thouths, feedback and ideas about the projects ambitious goals, involved technologies and current COVID situation that poses risks for end-users involvement.

H2HCare 1st plenary (Virtual) meeting

On 10th of November the project partners participated to the 1st H2HCare plenary meeting that due to the current COVID context was held onlyne using Skype for Business. All partners have presented the status of their current activities and they have planned the future action points to be done in order to follow the project workplan. The main focus of the discussion were: how to recruit end-users, the mockups design, the envisioned services design and the first version of the componets development.

Great AAL Lean Canvas workshop

In October, H2HCare AAL-project attended a two-day workshop with the META Group as coaches in a webinar. The workshop’s objective is to get AAL-projects started with mapping out our potential business-models and ways of commercialising the project.

At the workshop we learnt about the Lean Canvas, which is type of SWAT-model that can help businesses develop a unique value proposition for their business. In addition this Canvas helps you think through what problems your product or service solves, what customers to sell to and creating a revenue model. We were also helped by our designated EU-coaches to develop our own Lean Canvas. By splitting into groups and doing case-studies, we experienced first hand how to do this exercise.

In the second work-shop in November the theme was how to develop a unique selling proposition through using a Value Proposition Canvas. By thinking through the customer segments work tasks and understanding their pains, we could establish what they would gain from using our products or services. And by identifying the pain relievers what gains could the customer achieve. Also in this work-shop we had great help from our coaches from the META Group in Rome, Italy. By extracting key metrics from the Unique Value Proposition Canvas we were able to easily put together a sentence that states our Unique Value Proposition in a simple “elevator pitch” in a professional way. The last work-shop is in the end of December, and will form a solid basis for our work going forward.

MediTech 2020 conference participation

The Technical University of Cluj-Napoca (TUC), H2HCare project coordinator participated at the 7th International Conference on Advancements of Medicine and Health Care through Technology (ONLINE CONFERENCE) – MediTech2020, held between 13 – 15 October 2020.

The MediTech 2020 conference provides a special opportunity for the scientists to exchange their know-how and build up collaboration in one of the most human field of science and techniques.

TUC presented an article about Machine Learning Btechniques for the Classification of the Daily Living Activities of the older adults and gave a quick overview about hte ongoing AAL projects.

End-users requirements findings

During the activity analysis of the intended audience (i.e. seniors, formal and informal caregivers) several needs have appeared. These needs, converted into requirements, have been prioritized in order to keep the most important information and feasible features regarding to the digital assistant-based possibilities. To give a more precise idea of what has been identified, here are some of the collated requirements, presented separately between the basic information and the customizable tools that the digital assistant will provide.

In a general way, the digital assistant will be able to track and record daily life data and to set several reminders considering: medical visits, medicine and treatment intakes, physical exercises and diets. On another hand, the digital assistant will provide other kinds of reminders to reinforce information about care procedures and health practices. The digital assistant will thus include instructions on how to react in case of emergency, who to reach and how (list of phone and email contacts related to their care), and give a simple and permanent access to the frequently asked questions, in case of doubts. Those general requirements represent an added value because they will insure and increase the patient’s chances of rehabilitation by providing seniors and informal caregivers understandable information by a regular non-invasive monitoring. The other added value of the collated requirements is the possibility to offer a digital assistant able to provide personalized services. Nearly all general requirements listed above, will be parameterized according to specifically end-users needs and therefore can be considered as customizable. Moreover, other requirement such as psychological monitoring can also be personalized. Given that each senior has often mental health problems in addition to heart failure, it would be nice to offer them a personalized psychological support. Last but not least, to improve the use of the digital assistant, the intended audience have also to be trained on a simple and fast way on digital assistant’s operation, as this tool is unknown to them. Those personalized trainings, each end-users having their own difficulties and needs, will be given through videos and booklets.