Evidence map›Paper›PMID 37915897›Full record

ReviewClinical kidney journal2023

From electronic health records to clinical management systems: how the digital transformation can support healthcare services.

Carlo Barbieri, Luca Neri, Stefano Stuard, Flavio Mari, José D Martín-Guerrero

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
14.7field-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

29 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Observational
  3. An AI Perspective on Counseling Supervision.Behavioral sciences (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Article
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  7. Article
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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

5 authors at 1 institution in 1 country.

Carlo BarbieriGlobal Digital Transformation and Innovation, Clinical Digital Center of Excellence, Fresenius Medical Care, Crema Italy.
Luca NeriGlobal Medical Office, Clinical Advanced Analytics, Fresenius Medical Care, Crema Italy.
Stefano StuardGlobal Medical Office, Clinical and Therapeutic Governance, Fresenius Medical Care, Naples, Italy.ORCID https://orcid.org/0000-0002-9546-4507
Flavio MariGlobal Digital Transformation and Innovation, Clinical Digital Center of Excellence, Fresenius Medical Care, Crema Italy.
José D Martín-GuerreroIntelligent Data Analysis Laboratory, Department of Electronic Engineering, ETSE -UV, Universitat de València, Valencia, Spain.ORCID https://orcid.org/0000-0001-9378-0285
Universitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare systems worldwide are currently undergoing significant transformations in response to increasing costs, a shortage of healthcare professionals and the growing complexity of medical needs among the population. Value-based healthcare reimbursement systems are emerging as an attempt to incentivize patient-centricity and cost containment. From a technological perspective, the transition to digitalized services is intended to support these transformations. A Health Information System (HIS) is a technological solution designed to govern the data flow generated and consumed by healthcare professionals and administrative staff during the delivery of healthcare services. However, the exponential growth of digital capabilities and applied advanced analytics has expanded their traditional functionalities and brought the promise of automating administrative procedures and simple repetitive tasks, while enhancing the efficiency and outcomes of healthcare services by incorporating decision support tools for clinical management. The future of HIS is headed towards modular architectures that can facilitate implementation and adaptation to different environments and systems, as well as the integration of various tools, such as artificial intelligence (AI) models, in a seamless way. As an example, we present the experience and future developments of the European Clinical Database (EuCliD®). EuCliD is a multilingual HIS used by 20 000 nurses and physicians on a daily basis to manage 105 000 patients treated in 1100 clinics in 43 different countries. EuCliD encompasses patients' follow-up, automatic reporting and mobile applications while enabling efficient management of clinical processes. It is also designed to incorporate multiagent systems to automate repetitive tasks, AI modules and advanced dynamic dashboards.

Indexed as

artificial intelligence in healthcareclinical decision supportdigitalized healthcarehealth information systemvalue-based healthcare

Identifiers

PMID37915897
PMCPMC10616428
OpenAlexW4384129262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.