Evidence map›Paper›PMID 41228883›Full record

ArticleSensors (Basel, Switzerland)2025

From Innovation to Integration: Bridging the Gap Between IoMT Technologies and Real-World Health Management Systems.

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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. Review
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

7 authors.

Sara JayousiPIN Foundation, Prato Campus of University of Florence, 59100 Prato, Italy.ORCID 0009-0009-9480-4563
Chiara BarchielliManagement and Health Laboratory, Institute of Management, Sant'Anna School of Advanced Studies of Pisa, 56127 Pisa, Italy.ORCID 0000-0003-3084-1970
Sara GuarducciDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.
Marco AlaimoDepartment of Nursing and Midwifery, Local Health Unit Toscana Centro, 50121 Florence, Italy.ORCID 0000-0002-4756-5370
Stefano CaputoDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-4516-8910
Paolo ZoppiDepartment of Nursing and Midwifery, Local Health Unit Toscana Centro, 50121 Florence, Italy.
Lorenzo MucchiDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0001-6389-0221

Funding

European Telecommunication Standard Institute (ETSI), 571 Smart Body Area Networks(SmartBAN) Technical Committee, 872752European Union's Horizon 2020 101017331Fondazione Cassa di Risparmio di Firenze project: smartHUB on Medical & Social ICT for Territorial Assistance
6 · The paper itself

Abstract

This study lays the foundation for a multidimensional framework aimed at facilitating the effective integration of Internet of Medical Things (IoMT) technologies into real-world health management systems. It critically examines the technological, organizational, and societal barriers that hinder this transition and identifies key enabling conditions, such as interoperability, user co-design, and ethical design principles, that promote sustainability, inclusiveness, and trust. By proposing a structured approach to integration, this paper aims to bridge the gap between innovation and long-term, reliable adoption across diverse healthcare contexts.

Indexed as

Delivery of Health CareInternet of ThingsInventionsHumanshealthcarehealth monitoringInformation and Communication TechnologiesInternet of Medical Thingspatients’ management

Identifiers

PMID41228883
PMCPMC12610426

What Socratic 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 Socratic graph.