Evidence map›Paper›PMID 39338804›Full record

ArticleSensors (Basel, Switzerland)2024

Health Community 4.0: An Innovative Multidisciplinary Solution for Tailored Healthcare Assistance Management.

Sara Jayousi, Chiara Barchielli, Marco Alaimo, Sara Guarducci, Stefano Caputo, Marzia Paffetti, Paolo Zoppi, Lorenzo Mucchi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sara JayousiPIN-Polo Universitario "Città di Prato", 59100 Prato, Italy.
Chiara BarchielliManagement and Health Laboratory, Institute of Management, Sant'Anna School of Advanced Studies of Pisa, 56127 Pisa, Italy.ORCID 0000-0003-3084-1970
Marco AlaimoDepartment of Nursing and Midwifery, Local Health Unit Toscana Centro, 50139 Florence, Italy.ORCID 0000-0002-4756-5370
Sara GuarducciDepartment of Information Engineering, University of Florence, 50121 Florence, Italy.
Stefano CaputoDepartment of Information Engineering, University of Florence, 50121 Florence, Italy.ORCID 0000-0002-4516-8910
Marzia PaffettiDepartment of Nursing and Midwifery, Local Health Unit Toscana Centro, 50139 Florence, Italy.ORCID 0009-0007-7919-5363
Paolo ZoppiDepartment of Nursing and Midwifery, Local Health Unit Toscana Centro, 50139 Florence, Italy.
Lorenzo MucchiDepartment of Information Engineering, University of Florence, 50121 Florence, Italy.ORCID 0000-0001-6389-0221

Funding

European Telecommunications Standards Institute TC SmartBANEuropean Union orizon 2020 programme under grants No. 101017331European Union orizon 2020 programme under grants No. 872752Fondazione Cassa di Risparmio di Firenze smartHUB project on Medical & Social ICT for Territorial Assistance
6 · The paper itself

Abstract

This paper presents a co-designed solution aimed at improving community healthcare assistance management. To enhance patients' self-awareness of their health status, encouraging active participation in care process, and to support nurses in delivering patient-centered care, we have developed an innovative platform with a highly customized app. This platform was designed using a multi-disciplinary, bottom-up approach. Patient data collection and processing facilitate the automation of care timeline planning, based on real-time patients' needs and the available resources. To achieve this goal, different components have been considered: real-time health data collection and processing, patient care planning, decision support for nurses, secure communication for data transmission, and user-friendly interfaces to ensure easy access to platform functionalities.

Indexed as

Patient-Centered CareDelivery of Health CareHumansMobile ApplicationsTelemedicineUser-Computer Interfacehealthcarehealth monitoringinformation and communication technologiesInternet of Thingsnursingpatients’ management

Identifiers

PMID39338804
PMCPMC11435923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.