» Articles » PMID: 37915897

From Electronic Health Records to Clinical Management Systems: How the Digital Transformation Can Support Healthcare Services

Overview
Journal Clin Kidney J
Specialty Nephrology
Date 2023 Nov 2
PMID 37915897
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Can the digital economy foster advancements in the healthcare sector? - a case study using interprovincial data from China.

Wei Z, Wei K, Yang J, Zhang M, Yang F BMC Public Health. 2025; 25(1):196.

PMID: 39825273 PMC: 11740665. DOI: 10.1186/s12889-025-21372-9.


Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer's Disease Progression Using Longitudinal Electronic Health Records.

Meng W, Xu J, Huang Y, Wang C, Song Q, Ma A medRxiv. 2024; .

PMID: 39040206 PMC: 11261930. DOI: 10.1101/2024.07.07.24310055.


Digital Health Support: Current Status and Future Development for Enhancing Dialysis Patient Care and Empowering Patients.

Canaud B, Davenport A, Leray-Moragues H, Morena-Carrere M, Cristol J, Kooman J Toxins (Basel). 2024; 16(5).

PMID: 38787063 PMC: 11125858. DOI: 10.3390/toxins16050211.


Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives.

Bekbolatova M, Mayer J, Ong C, Toma M Healthcare (Basel). 2024; 12(2).

PMID: 38255014 PMC: 10815906. DOI: 10.3390/healthcare12020125.


European Nephrologists' Attitudes toward the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey.

Savoia M, Tripepi G, Goethel-Paal B, Baro Salvador M, Ponce P, Voiculescu D Blood Purif. 2023; 53(2):80-87.

PMID: 38008072 PMC: 10836740. DOI: 10.1159/000534604.

References
1.
Hajat C, Siegal Y, Adler-Waxman A . Clustering and Healthcare Costs With Multiple Chronic Conditions in a US Study. Front Public Health. 2021; 8:607528. PMC: 7859629. DOI: 10.3389/fpubh.2020.607528. View

2.
Marcelli D, Kirchgessner J, Amato C, Steil H, Mitteregger A, Moscardo V . EuCliD (European Clinical Database): a database comparing different realities. J Nephrol. 2002; 14 Suppl 4:S94-100. View

3.
Richards N, Ayala J, Cesare S, Chazot C, Di Benedetto A, Gassia J . Assessment of quality guidelines implementation using a continuous quality improvement programme. Blood Purif. 2007; 25(3):221-8. DOI: 10.1159/000101026. View

4.
Panda B, Thakur H . Decentralization and health system performance - a focused review of dimensions, difficulties, and derivatives in India. BMC Health Serv Res. 2017; 16(Suppl 6):561. PMC: 5103245. DOI: 10.1186/s12913-016-1784-9. View

5.
Sutton R, Pincock D, Baumgart D, Sadowski D, Fedorak R, Kroeker K . An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digit Med. 2020; 3:17. PMC: 7005290. DOI: 10.1038/s41746-020-0221-y. View