Performances of a Solution to Semi-Automatically Fill eCRF with Data from the Electronic Health Record: Protocol for a Prospective Individual Participant Data Meta-Analysis.

Clinical trial data collection still relies on a manual entry from information available in the medical record. This process introduces delay and error risk. Automating data transfer from Electronic Health Record (EHR) to Electronic Data Capture (EDC) system, under investigators' supervision, would gracefully solve these issues.

A comparison between an ICT tool and a traditional physical measure for frailty evaluation in older adults.

Background: Frailty is a clinical condition among older adults defined as the loss of resources in one or more domains (i.e., physical, psychological and social domains) of individual functioning.

The Reliability of Using Tablet Technology for Screening the Health of Older Adults.

In this study, we assessed the reliability of using a tablet application for collecting health data among older adults, in comparison to using paper surveys for this goal. Test-retest reliability between the two modalities, usability, user experience factors, and older adults' preference were determined. The results show perfect agreement between tablet and paper for the SARC-F and high agreement for the SF-36 physical scale and EQ-5D.

Possibilities of ICT-supported services in the clinical management of older adults.

Services making use of information and communication technology (ICT) are of potential interest to face the challenges of our aging society. Aim of this article is to describe the possible field of application for ICT-supported services in the management of older adults, in particular those with functional impairment. The current status of ICT-supported services is described and examples of how these services can be implemented in everyday practice are given.

User Satisfaction Evaluation of the EHR4CR Query Builder: A Multisite Patient Count Cohort System.

The Electronic Health Records for Clinical Research (EHR4CR) project aims to develop services and technology for the leverage reuse of Electronic Health Records with the purpose of improving the efficiency of clinical research processes. A pilot program was implemented to generate evidence of the value of using the EHR4CR platform. The user acceptance of the platform is a key success factor in driving the adoption of the EHR4CR platform; thus, it was decided to evaluate the user satisfaction.