Here are Case Studies using Healthentia as part of a Clinical Trial or as a Remote patient monitoring Solution
Study Description Virtual Ward study is leveraging Healthentia solution to monitor and interact with Ovarian Cancer Patients. The Phase 1 scope pertains monitoring and support through the platform for those patients who have been treated with surgery for ovarian cancer and covers the 30-days follow-up period after post-surgery discharge. This is a critical phase of...
Study Description COMFORTAGE is a joint effort of medical experts, social scientists and humanists, technical experts, Digital Innovation Hubs (DIHs) and Living Labs (LLs) to establish a pan European framework for Community-based, Integrated and People-Centric prevention, monitoring and progression managing solutions for dementia and frailty. Through COMFORTAGE, care services providers will be empowered to create...
Study Description HLT_DTM2 is a co-sponsored Study with the University of Thessaly using Healthentia to offer personalized coaching to 30 patients with Type 2 Diabetes. The study consists of a 2-week assessment period followed by a 12 week intervention period with mandatory completion of questionnaires, weight and glucose measurement monitoring and two teleconsultations with a dietician. Study...
Study Description ONCODIR (Evidence-based Participatory Decision Making for Cancer Prevention through implementation) will identify risk factors associated with colorectal cancer (CRC) and will integrate multidisciplinary research methods and technologies (including health policy analytics, artificial intelligence, and decision support theories) to deliver evidence-based and personalized recommendations on colorectal cancer prevention. Study Details Type: HORIZON-RIA, HORIZON-MISS-2022-CANCER-01-01 Start:...
Study Description HumAIne facilitates advanced and reliable collaboration of experts and AI towards hybrid decision making and support in a variety of industries. It delivers the HumAIne Operating System, built on four technological pillars: Active Learning (AL), Neuro-Symbolic Learning, Swarm Learning (SL), and eXplainable AI (XAI). The HumAine OS enables AI solution creators to...
Study Description The IBS study is a prospective, randomised, double-blind, placebo controlled, multicentre, parallel group, phase II study. The study will recruit 130 patients across 13 centres in Belgium and they will undergo 5 study visits, plus a follow-up phone call (if they agree to free-access to the product for 4 additional weeks) with a...
Study Description TERMINET will validate and demonstrate six proof-of-concept, realistic use cases in compelling IoT domains such as energy, smart buildings, smart farming, healthcare, and manufacturing. Study Details Type: H2020 Disease: Cancer Start: November 2020 Duration: 36 months Project’s Challenges The vision of TERMINET is to provide a novel next-generation reference architecture based on cutting-edge...
Study Description AZIMUTH model of care is delivered through Healthentia; a Software as a Service (SaaS) medical device via a mobile application for patients and a clinical dashboard for clinicians for Remote Patient Monitoring (RPM), Patient Support Programs (PSP) and Digital Therapeutics (DTx). This innovative scalable model of personalised remote heart failure care is based on...
Study Details Type: Research Disease: COPD and Comorbid Complex Chronic Conditions (CCCs) Sites: The Netherlands, Italy, Estonia Start: March 2021 Population: 710 patients Duration: 48 months Study Description Shared-decision making for tailored Comorbid Complex Chronic (CCC) disease management, crossing care paths towards daily life, and early proper treatment to prevent CCC disease progression. Identify individual...
Study Details Type: Research Disease: Pancreatic Cancer Sites: European countries Start: January 2021 Population: 420 patients Duration: 36 months Study Description iHelp is a research study that delivers a novel personalised-healthcare framework. Enables the collection, integration, and management of health-related data from various sources (medical records, lifestyle, behaviours, social media interactions). The data is analysed...
