IoT Archives - Healthentia https://healthentia.com/tag/iot/ Mon, 16 Jun 2025 12:12:01 +0000 en-US hourly 1 https://healthentia.com/wp-content/uploads/2020/04/cropped-favicon_512-32x32.png IoT Archives - Healthentia https://healthentia.com/tag/iot/ 32 32 193384636 Risk Assessment for Personalized Health Insurance Products https://healthentia.com/risk-assessment-for-personalized-health-insurance-products/ Tue, 12 Mar 2024 12:18:08 +0000 https://healthentia.com/?p=20323 CATEGORY: Healthcare insurance, Explainable AI, Personalized healthcare, Real-world data, IoT, Big data SOURCE: Big Data and Artificial Intelligence in Digital Finance. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-94590-9_16 Risk Assessment for Personalized Health Insurance Products Kyriazakos S., Pnevmatikakis A., Perikleous A., Kanavos S. (2022) Abstract The way people lead their lives is considered an important factor in health. In...

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CATEGORY: Healthcare insurance, Explainable AI, Personalized healthcare, Real-world data, IoT, Big data

SOURCE: Big Data and Artificial Intelligence in Digital Finance. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-94590-9_16

Risk Assessment for Personalized Health Insurance Products

Kyriazakos S., Pnevmatikakis A., Perikleous A., Kanavos S. (2022)

Abstract

The way people lead their lives is considered an important factor in health. In this chapter, we describe a system to provide risk assessment based on behavior for the health insurance sector. The system processes real-world data (RWD) of individuals from their daily life that enumerate different aspects of behavior collection. The data have been captured using the Healthentia platform and a simulator that augments the actual dataset with synthetic data. Classifiers are built to predict variations of peoples’ well-being short-term outlook. Risk assessment services are provided to health insurance professionals by processing the classifier predictions in the long term while explaining the classifiers themselves provide insights on the coaching of the users of the service.

Keywords: Healthcare insurance, Explainable AI, Personalized healthcare, Real-world data, IoT, Big data

 

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Innovation Radar Prize 2022 – Disruptive Health https://healthentia.com/innovation-radar-prize-2022-disruptive-health/ Tue, 18 Oct 2022 14:13:03 +0000 https://healthentia.com/?p=19505 We are excited that Innovation Sprint is short-listed for the Innovation Radar Award on Disruptive Health, together with 9 other companies. Since 2015 the European Commission has been awarding the annual Innovation Radar Prize to great EU-funded innovators, putting a spotlight on the high-potential innovations they are trying to get "out of the lab and...

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We are excited that Innovation Sprint is short-listed for the Innovation Radar Award on Disruptive Health, together with 9 other companies.

Since 2015 the European Commission has been awarding the annual Innovation Radar Prize to great EU-funded innovators, putting a spotlight on the high-potential innovations they are trying to get "out of the lab and into the market". Intelligence gathered by the Innovation Radar is used to identify innovators who can then compete for the prize. 

The top innovation finalists are grouped into 3 categories of 10 each, out of a tremendous number of applications for the 2022 Innovation Radar Prize. The 3 categories are: 

  • Disruptive Health 
  • Purpose-driven & Green 
  • Kickstarter 

The Innovation Radar Prize 2022 includes voting from the public, which will assist the jury in their search for the best innovation of 2022.   

Innovation Sprint is one of the 10 candidates for the Innovation Prize of Disruptive Health and we are looking forward to receiving your vote here. 

Innovation Radar Prize 2022
Vote for Innovation Sprint

Why have we been selected as finalists?  

Sofoklis Kyriazakos, CEO of Innovation Sprint, explains the reasons that brought Innovation Sprint to the final of the Innovation Radar Prize 2022.

Innovation is part of our company name, but foremost it is part of our DNA. Our purpose to improve health outcomes and outperform existing therapeutic care-paths using innovative technologies, has been an exciting and long journey from the day we started until where we are now commercializing our novel MedTech product in this highly regulated and challenging domain. Our product Healthentia, is a certified Software as Medical Device that uses best of breed of Internet, IoT, AI, and Big Data technologies together with clinical and regulatory knowledge to support healthcare professionals to monitor their patients, through digital clinical pathways addressing chronic conditions. Healthentia has been used so far in patient cohorts with cancer, heart failure, COPD, Covid-19, HIV, and other conditions. The clinical evidence that has been captured so far demonstrates increased adherence to treatment and Quality of Life, while we are currently running clinical studies, in which we monitor endpoints like mortality and rehospitalization. In Belgium, we are already at level 2 of the mHealthBELGIUM pyramid link, which paves the way towards reimbursement. We have market authorization for Europe and we have finalized the PreSub evaluation from FDA for 510(k) clearance.  This journey was strongly influenced by our research activities, many of them performed under EC R&D projects, which contributed to the inclusion of key innovations in Healthentia and bringing the product to another level; a level that is backed up by science. We are committed to continuously improving Healthentia to disrupt health, by outperforming traditional treatments, thus contributing to Good Health and Wellbeing, one of the key sustainability goals of the UNIn this trajectory, we will continue to improve Healthentia in a way to address demanding market needs, regulatory challenges, while implementing our purpose to use innovative technologies to improve health outcomes and outperform existing therapeutic care paths. 

 

What are the key innovations so far? 

Aristodemos Pnevmatikakis, R&D Director of Innovation Sprint, explains Healthentia smart services and the role of EU co-funded projects in implementing them. 

Healthentia is a secure big data platform for patient data, providing two applications to its two categories of end-users: a) Patients use the mobile app to facilitate the collection of their data and delivery of info and feedback, and b) healthcare professionals use the portal app to setup studies or programs to monitor their patients both as a cohort, or as individuals. Both applications are empowered by smart services: On the one hand, clinicians can handle patients in clusters and get insights from inference on models learnt on patients’ data. On the other hand, patients benefit from feedback on important attributes in their data, as these attributes are highlighted by explainable AI techniques. 

EU co-funded projects have been playing a dual role in Healthentia. Looking back at our origins, the company started as the exploitation output of the eWALL project. Many more recent and ongoing projects have been instrumental in the implementation of our smart services. They allow us to run studies across Europe, increasing our volume and diversity of subjects, thus reducing the bias in the models we can learn from the collected data. They also facilitate early testing of our models in prototypes of our smart services. Last but not least, they facilitate our scientific output, by providing us with collaboration opportunities and funding for publications.

At Innovation Sprint we commit to providing patients and professionals with continuously improved smart services, aiming at helping the former improve the life of the latter. 

 

How do we combine innovation with needs? 

Konstantina Kostopoulou, Chief Product Officer of Innovation Sprint, explains how Healthentia has evolved into the solution it is today by combining innovation with the different stakeholder’s needs from the market.

Healthentia has been developed through participatory design and evaluation from stakeholders. Both the application for the patients and the portal for the clinicians are co-designed with patient focus groups and workshops with clinicians. In this product development journey, we have done user studies and interviewed patient focus groups after asking them to accomplish a set of tasks on the mobile app. They have evaluated the easiness and experience of using Healthentia. For similar tasks their valuable feedback is collected for feature optimizations. Regarding the clinician portal, regular sessions are taking place to collect feedback from clinicians to address their needs and optimize the assessment of a patients’ health state. We work together with clinicians from customizing their dashboards or enhance their patient record with selected clinical date from a hospital’s EMR. The Healthcare market include a great range of Stakeholders including but not limiting to, patients, caregivers, doctors, nurses, patient organizations, government, insurance companies, communities and pharmaceutical firms. Our collaborations within this market influence our product roadmap to meet the needs and expectations in this changing environment of digital Health.

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Opportunities, ethical challenges, and value implications of pervasive sensing technology for supporting older adults in the work environment https://healthentia.com/opportunities-ethical-challenges-and-value-implications-of-pervasive-sensing-technology-for-supporting-older-adults-in-the-work-environment/ Mon, 09 May 2022 12:46:50 +0000 https://healthentia.com/?p=19399 CATEGORY: eHealth, Health monitoring, e-Health applications SOURCE: AUSTRALASIAN JOURNAL OF INFORMATION SYSTEMS, 2022, May; DOI Link, Research Article DOI Link Opportunities, ethical challenges, and value implications of pervasive sensing technology for supporting older adults in the work environment Christiane Grünloh, Miriam Cabrita, Carina Dantas & Sofia Ortet Abstract Responding to the challenges of demographic change,...

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CATEGORY: eHealth, Health monitoring, e-Health applications

SOURCE: AUSTRALASIAN JOURNAL OF INFORMATION SYSTEMS, 2022, May; DOI Link, Research Article DOI Link

Opportunities, ethical challenges, and value implications of pervasive sensing technology for supporting older adults in the work environment

Christiane Grünloh, Miriam Cabrita, Carina Dantas & Sofia Ortet

Abstract

Responding to the challenges of demographic change, a growing number of eHealth solutions are appearing on the market, aiming to enable age-friendly living and working environments. Pervasive sensing and monitoring of workers' health-, behavioural-, emotional- and cognitive status to support their health and workability enable the creation of adaptive work environments and the provision of personalised interventions. However, this technology also introduces new challenges that go beyond user acceptance and privacy concerns. Based on a conceptual investigation and lessons learnt within the SmartWork project (H2020-826343), this paper outlines opportunities and ethical challenges of pervasive sensing technology in the work environment that aims to support active and healthy ageing for office workers in a holistic way, including their values and preferences. Only by identifying those challenges, implicated values and value tensions is it possible to convert them into design opportunities and find innovative ways to address identified tensions. The article outlines steps taken within the project and closes with a reflection on the limits of technological responses to societal problems and the need for regulations and changes on a societal level.

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Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications https://healthentia.com/enabling-security-services-in-socially-assistive-robot-scenarios-for-healthcare-applications/ Tue, 19 Oct 2021 15:16:22 +0000 https://healthentia.com/?p=18746 Topics: sensors, systems, AI for healthcare SOURCE: MDPI, 18 October 2021;  BOOK DOI Link, Chapter DOI Link Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications Alexandru Vulpe 1,2 ; Răzvan Crăciunescu 1,2 ; Ana-Maria Drăgulinescu 1 ; Sofoklis Kyriazakos 2,3 * ; Ali Paikan 4 ; Pouyan Ziafati 4 1   Telecommunications Department,...

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Topics: sensors, systems, AI for healthcare

SOURCE: MDPI, 18 October 2021;  BOOK DOI Link, Chapter DOI Link

Enabling Security Services in Socially Assistive Robot Scenarios for Healthcare Applications

Alexandru Vulpe 1,2 ; Răzvan Crăciunescu 1,2 ; Ana-Maria Drăgulinescu 1 ; Sofoklis Kyriazakos 2,3 * ; Ali Paikan 4 ; Pouyan Ziafati 4

1   Telecommunications Department, University Politehnica of Bucharest, 061071 Bucharest, Romania
2   Innovation Sprint Sprl, 1200 Brussels, Belgium
3   BTECH, Aarhus University, 7400 Herning, Denmark
4   LuxAI S.A., 1724 Luxembourg, Luxembourg
*   Author to whom correspondence should be addressed

Abstract

Today’s IoT deployments are highly complex, heterogeneous and constantly changing. This poses severe security challenges such as limited end-to-end security support, lack of cross-platform cross-vertical security interoperability as well as the lack of security services that can be readily applied by security practitioners and third-party developers. Overall, these require scalable, decentralized and intelligent IoT security mechanisms and services which are addressed by the SecureIoT project. This paper presents the definition, implementation and validation of a SecureIoT-enabled socially assisted robots (SAR) usage scenario. The aim of the SAR scenario is to integrate and validate the SecureIoT services in the scope of personalized healthcare and ambient assistive living (AAL) scenarios, involving the integration of two AAL platforms, namely QTrobot (QT) and CloudCare2U (CC2U). This includes risk assessment of communications security, predictive analysis of security risks, implementing access control policies to enhance the security of solution, and auditing of the solution against security, safety and privacy guidelines and regulations. Future perspectives include the extension of this security paradigm by securing the integration of healthcare platforms with IoT solutions, such as Healthentia with QTRobot, by means of a system product assurance process for cyber-security in healthcare applications, through the PANACEA toolkit.

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How Technology meets Clinical Research? https://healthentia.com/how-technology-meets-clinical-research/ Wed, 03 Mar 2021 13:12:00 +0000 https://healthentia.com/?p=18474 Healthentia is an eClinical platform that captures Real World Data for decentralized virtual clinical trials while utilizing digital composite biomarkers to offer smart services under the context of eHealth and DTx. Lifesciences and Healthcare are considered to be slow-moving industries in terms of their digital transformation; however, this has been changing rapidly in the aftermath...

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Healthentia is an eClinical platform that captures Real World Data for decentralized virtual clinical trials while utilizing digital composite biomarkers to offer smart services under the context of eHealth and DTx.

Lifesciences and Healthcare are considered to be slow-moving industries in terms of their digital transformation; however, this has been changing rapidly in the aftermath of the Covid-19 outbreak. In Innovation Sprint we believe that the surrounding environment of these industries pinning to strict regulatory requirements, should not influence the level of technology adoption. Given our tech-DNA, we opt for edge technologies and practices. These cover the best of the breed of architectural approaches, hosting environments, mobile apps, IoT devices, security infrastructures, continuous integration processes, AI and ML mechanics, and all other pieces of the puzzle for a state-of-the-art solution.

Let’s make a dive into the technologies we use in Healthentia and let’s see how we achieve high performance and compliance. Below, you can find an overall description of the system architecture, as well as a presentation of the infrastructure that maintains and facilitates Healthentia System performance.

System Architecture

Healthentia SaaS is a three-tiered application. The datastore tier contains one hosted Azure SQL database for structures study data and an Azure Blob storage for media and any other files. The application tier contains our services, the Web API, and the Web Platform. Finally, the client tier contains the Web Platform client (out portal app targeting the healthcare professionals) and the Mobile client (our Android and iOS app targeting the patients or study participants).
Additionally, a rest API developed in Python Django framework is responsible for Machine Learning Operations and communicates with Healthentia Platform, using Healthentia Web API exposed endpoints.

Hosting environment

Our Infrastructure is hosted on Microsoft Azure, in Western Europe and is based on a Kubernetes cluster on Azure Kubernetes service, which has the following benefits:

  • Accelerates containerised application development
  • Increases operational efficiency
  • Builds on an enterprise-grade, more secure foundation
  • Runs any workload in the cloud, at the edge, or as a hybrid

Kubernetes provides a way to schedule and deploy containers, scale them to the desired state and manage their lifecycles. In this way, Healthentia is a container-based application, thus portable, scalable and extensible. More information on Kubernetes: https://azure.microsoft.com/en-in/services/kubernetes-service/

Mobile apps

Our mobile app is built using React Native, a framework for building native apps for Android and iOS using React. It offers a unique user experience in the Bring Your Own Device approach we follow. The user interface is an outcome of co-development with patients, which is a process that is renewed for several therapeutic areas.

IoT devices

Healthentia supports a large number of IoT devices, through API or SDK integration. Prominent among them are all Fitbit and Garmin devices. Furthermore, it supports iOS Health Kit integration, which extends the spectrum of devices that can be used. Further to the above, Healthentia can capture activity information directly from the smartphones’ sensors, utilizing their hardware sensors (like the accelerometer and barometer) as well as their software ones (like the step sensor). This direct access to raw sensor data facilitates composite activity measurements, like the frailty test and the 6-minute walk test.

Security & Privacy

The high information security performance of the Healthentia is aspired to stand as one of its competitive advantages. Our Information Security Policy aims to:

  • Εnsure the confidentiality, availability and integrity of the information it processes
  • Protect the data subjects’ rights within the scope of its business operations
  • Comply with the applicable legislative and regulatory requirements

Security is ensured at 3 levels: 1) infrastructure, 2) processes, 3) continuous security posture assessment and update.

CI-CD Infrastructure

Azure Build Pipelines are responsible to build our code from source control and create artefacts to be used from the release pipelines and the deployments. Build Pipelines exist in Azure DevOps to be triggered automatically by committing the branch they are linked to, or manually from Azure DevOps.
The release pipelines are responsible for publishing apps to the production and test environments. These pipelines deploy the newest application images (Web and API) from the docker repository to the Kubernetes cluster.

 

 

 

 

AI mechanics

The AI module of Healthentia offers three services: biomarker discovery, patient phenotyping and in-silico trials. The biomarker discovery and patient phenotyping services are carried out off-line and their results are available on-line: The discovered biomarkers are used in risk assessment, virtual coaching and DTx. The estimated phenotypes are used in the in-silico trials to modify the behaviors of the simulated patients based on data models.

For more information, you can contact us at info@innovationsprint.eu.

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