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

artificial intelligence in healthcare clinical decision support digitalized healthcare health information system value-based healthcare

Journal

Clinical kidney journal
ISSN: 2048-8505
Titre abrégé: Clin Kidney J
Pays: England
ID NLM: 101579321

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 30 04 2023
medline: 2 11 2023
pubmed: 2 11 2023
entrez: 2 11 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37915897
doi: 10.1093/ckj/sfad168
pii: sfad168
pmc: PMC10616428
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1878-1884

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the ERA.

Déclaration de conflit d'intérêts

C.B., L.N. and S.S. are employees at Fresenius Medical Care. J.D.M.-G. received research grants from Fresenius Medical Care in the past 10 years.

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Auteurs

Carlo Barbieri (C)

Global Digital Transformation and Innovation, Clinical Digital Center of Excellence, Fresenius Medical Care, Crema Italy.

Luca Neri (L)

Global Medical Office, Clinical Advanced Analytics, Fresenius Medical Care, Crema Italy.

Stefano Stuard (S)

Global Medical Office, Clinical and Therapeutic Governance, Fresenius Medical Care, Naples, Italy.

Flavio Mari (F)

Global Digital Transformation and Innovation, Clinical Digital Center of Excellence, Fresenius Medical Care, Crema Italy.

José D Martín-Guerrero (JD)

Intelligent Data Analysis Laboratory, Department of Electronic Engineering, ETSE -UV, Universitat de València, Valencia, Spain.

Classifications MeSH