The purpose of this iHelp deliverable, D3.5 “Secondary data capture and interoperability I”, a public report, is to act as an inventory of secondary data for the iHelp clinical studies, ensuring that all clinical partners know what has been made available for extracting information from their end-users, mostly patients, but in cases of preventive studies, also the general public. No matter their status (patient, or citizen), end-users in iHelp are study participants, and this is how they are referred to in this document. The deliverable also documents the choices made on what to measure and what to simply ask the study participants to provide, trying to strike a balance between loading people with devices (and cost) but also asking too much...
The overarching purpose of CINECA is to achieve federated human data interoperability between 10 exi...
This is the first of the series of deliverables that specify the pilot scenarios, their involved dat...
Interoperability is a well-known challenge in medical informatics. Current trends in interoperabilit...
The iHelp integrated solution aims at providing personalised health monitoring and decision support ...
This document represents the assessment of the iHelp approaches by showing the proposed data collect...
This Deliverable defines and describes the overall Data Management Plan (DMP) of the iHelp project. ...
This deliverable summarizes the work that has been done in the score of Task 2.1 (“State of the art ...
This deliverable (titled “Standardisation and Quality Assurance of Heterogenous Data I”) describes t...
This deliverable summarizes the work that has been done in the scope of Task 2.1 (“State of the art ...
iHelp aims to early detect and mitigate the risks associated with Pancreatic Cancer applying advance...
This report provides an overview of the data modelling approaches adopted in iHELP project. The main...
This deliverable describes the shared requirements, technical solutions, and methods for collecting ...
This deliverable (titled “Standardisation and Quality Assurance of Heterogenous Data II”) describes ...
iHelp aims to early detect and mitigate the risks associated with Pancreatic Cancer applying advance...
Purpose: We explore the challenges of the secondary use of data in clinical information systems (CIS...
The overarching purpose of CINECA is to achieve federated human data interoperability between 10 exi...
This is the first of the series of deliverables that specify the pilot scenarios, their involved dat...
Interoperability is a well-known challenge in medical informatics. Current trends in interoperabilit...
The iHelp integrated solution aims at providing personalised health monitoring and decision support ...
This document represents the assessment of the iHelp approaches by showing the proposed data collect...
This Deliverable defines and describes the overall Data Management Plan (DMP) of the iHelp project. ...
This deliverable summarizes the work that has been done in the score of Task 2.1 (“State of the art ...
This deliverable (titled “Standardisation and Quality Assurance of Heterogenous Data I”) describes t...
This deliverable summarizes the work that has been done in the scope of Task 2.1 (“State of the art ...
iHelp aims to early detect and mitigate the risks associated with Pancreatic Cancer applying advance...
This report provides an overview of the data modelling approaches adopted in iHELP project. The main...
This deliverable describes the shared requirements, technical solutions, and methods for collecting ...
This deliverable (titled “Standardisation and Quality Assurance of Heterogenous Data II”) describes ...
iHelp aims to early detect and mitigate the risks associated with Pancreatic Cancer applying advance...
Purpose: We explore the challenges of the secondary use of data in clinical information systems (CIS...
The overarching purpose of CINECA is to achieve federated human data interoperability between 10 exi...
This is the first of the series of deliverables that specify the pilot scenarios, their involved dat...
Interoperability is a well-known challenge in medical informatics. Current trends in interoperabilit...