Evidence map›Paper›PMID 37623460›Full record

ArticleJournal of personalized medicine2023

Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems.

Bernd Blobel, Pekka Ruotsalainen, Mathias Brochhausen, Edson Prestes, Michael A Houghtaling

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2023. 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

5 authors.

Bernd BlobelMedical Faculty, University of Regensburg, 93053 Regensburg, Germany.
Pekka RuotsalainenFaculty of Information Technology and Communication Sciences, Tampere University, 33100 Tampere, Finland.ORCID 0000-0002-9069-0863
Mathias BrochhausenDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-1834-3856
Edson PrestesInformatics Institute, Federal University of Rio Grande do Sul, Porto Alegre 90040-060, Brazil.
Michael A HoughtalingIBM-Retired, Tucson, AZ 85750, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing transformation of health systems around the world aims at personalized, preventive, predictive, participative precision medicine, supported by technology. It considers individual health status, conditions, and genetic and genomic dispositions in personal, social, occupational, environmental and behavioral contexts. In this way, it transforms health and social care from art to science by fully understanding the pathology of diseases and turning health and social care from reactive to proactive. The challenge is the understanding and the formal as well as consistent representation of the world of sciences and practices, i.e., of multidisciplinary and dynamic systems in variable context. This enables mapping between the different disciplines, methodologies, perspectives, intentions, languages, etc., as philosophy or cognitive sciences do. The approach requires the deployment of advanced technologies including autonomous systems and artificial intelligence. This poses important ethical and governance challenges. This paper describes the aforementioned transformation of health and social care ecosystems as well as the related challenges and solutions, resulting in a sophisticated, formal reference architecture. This reference architecture provides a system-theoretical, architecture-centric, ontology-based, policy-driven model and framework for designing and managing intelligent and ethical ecosystems in general and health ecosystems in particular.

Indexed as

architectureecosystemshealth transformationknowledge representation and management

Identifiers

PMID37623460
PMCPMC10455576

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.