Evidence map›Paper›PMID 35162529›Full record

ReviewInternational journal of environmental research and public health2022

Health Technology Assessment for In Silico Medicine: Social, Ethical and Legal Aspects.

Carlo Giacomo Leo, Maria Rosaria Tumolo, Saverio Sabina, Riccardo Colella, Virginia Recchia, Giuseppe Ponzini, Dimitrios Ioannis Fotiadis, Antonella Bodini, Pierpaolo Mincarone

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

9 authors.

Carlo Giacomo LeoInstitute of Clinical Physiology, National Research Council, 73100 Lecce, Italy.ORCID 0000-0002-1357-4578
Maria Rosaria TumoloInstitute of Clinical Physiology, National Research Council, 73100 Lecce, Italy.
Saverio SabinaInstitute of Clinical Physiology, National Research Council, 73100 Lecce, Italy.ORCID 0000-0002-5337-2356
Riccardo ColellaDepartment of Biological and Environmental Sciences and Technology, University of Salento, 73100 Lecce, Italy.
Virginia RecchiaInstitute of Clinical Physiology, National Research Council, 73100 Lecce, Italy.ORCID 0000-0003-1119-1829
Giuseppe PonziniInstitute for Research on Population and Social Policies, National Research Council, 72100 Brindisi, Italy.
Dimitrios Ioannis FotiadisUnit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, 45110 Ioannina, Greece.ORCID 0000-0002-7362-5082
Antonella BodiniInstitute for Applied Mathematics and Information Technologies "E. Magenes", National Research Council, 20133 Milan, Italy.ORCID 0000-0002-3419-3184
Pierpaolo MincaroneInstitute for Research on Population and Social Policies, National Research Council, 72100 Brindisi, Italy.ORCID 0000-0002-8452-5642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of in silico medicine is constantly growing in the prevention, diagnosis, and treatment of diseases. These technologies allow us to support medical decisions and self-management and reduce, refine, and partially replace real studies of medical technologies. In silico medicine may challenge some key principles: transparency and fairness of data usage; data privacy and protection across platforms and systems; data availability and quality; data integration and interoperability; intellectual property; data sharing; equal accessibility for persons and populations. Several social, ethical, and legal issues may consequently arise from its adoption. In this work, we provide an overview of these issues along with some practical suggestions for their assessment from a health technology assessment perspective. We performed a narrative review with a search on MEDLINE/Pubmed, ISI Web of Knowledge, Scopus, and Google Scholar. The following key aspects emerge as general reflections with an impact on the operational level: cultural resistance, level of expertise of users, degree of patient involvement, infrastructural requirements, risks for health, respect of several patients' rights, potential discriminations for access and use of the technology, and intellectual property of innovations. Our analysis shows that several challenges still need to be debated to allow in silico medicine to express all its potential in healthcare processes.

Indexed as

PrivacyTechnology Assessment, BiomedicalDelivery of Health CareHumansMoralsPatient Rightsartificial intelligencecomputer modeling and simulationdigital twin technologyethical aspectshealth technology assessmentin silico medicinelegal aspectssocial aspects

Identifiers

PMID35162529
PMCPMC8835251

What OpenQuestion holds

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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.