Evidence map›Paper›PMID 36684935›Full record

ArticleFrontiers in public health2022

Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits.

Mariano Cingolani, Roberto Scendoni, Piergiorgio Fedeli, Fabio Cembrani

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
17.7field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  8. Multidimensional Stratification ofHealthcare (Basel, Switzerland) · 2025
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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

4 authors at 3 institutions in 1 country.

Mariano CingolaniDepartment of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.
Roberto ScendoniDepartment of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.
Piergiorgio FedeliSchool of Law, Legal Medicine, University of Camerino, Camerino, Italy.
Fabio CembraniOperative Unit of Legal Medicine, Provincial Authority for Health Services of Trento, Trento, Italy.
University of Macerata · ITProvincia Autonoma di Trento · ITUniversità di Camerino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Home healthcare in the Italian health system has proven to be an essential factor in adequately responding to the health needs of an increasingly aging population. The opportunities offered by digitization and new technologies, such as artificial intelligence (AI) and robotics, are a lever for making home care services more effective and efficient on the one hand, and on the other for improving remote patient monitoring. Telemedicine devices have enormous potential for telemonitoring and telerehabilitation of patients suffering from chronic disabling diseases; in particular, AI systems can now provide very useful managerial and decision-making support in numerous clinical areas. AI combined with digitalization, could also allow for the remote monitoring of patients' health conditions. In this paper authors describe some digital and healthcare tools or system of AI, such as the Connected Care model, the Home Care Premium (HCP) project, The Resilia App and some professional service robotics. In this context, to optimize potential and concrete healthcare improvements, some limits need to be overcome: gaps in health information systems and digital tools at all levels of the Italian National Health Service, the slow dissemination of the computerized medical record, issues of digital literacy, the high cost of devices, the poor protection of data privacy. The danger of over-reliance on such systems should also be examined. Therefore the legal systems of the various countries, including Italy, should indicate clear decision-making paths for the patient.

Indexed as

Home Care ServicesTelemedicineAgedArtificial IntelligenceDelivery of Health CareHumansState Medicineartificial intelligencehome care servicelimitstelemedicinetelerehabilitation

Identifiers

PMID36684935
PMCPMC9849776
OpenAlexW4313560381

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.