학술논문
From electronic health records to clinical management systems: how the digital transformation can support healthcare services
Document Type
Academic Journal
Source
Clinical Kidney Journal. November 2023, Vol. 16 Issue 11, p1878, 7 p.
Subject
Language
English
ISSN
2048-8505
Abstract
INTRODUCTION The need for new paradigms in healthcare services Healthcare systems in developed countries are facing unprecedented challenges due to the ageing of the population, and increasing prevalence of multi-comorbidity [...]
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[R]). 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. LAY SUMMARY The healthcare system is responding to challenges posed by increasing costs, a shortage of healthcare professionals and growing medical complexity. Value-based healthcare reimbursement systems and digitalized services attempt to alleviate such challenges. Health Information Systems (HIS) have emerged as technological solutions to manage data flow during healthcare delivery. The exponential growth of digital capabilities and advanced analytics has expanded HIS's traditional functionalities, promising to automate administrative procedures and enhance healthcare service efficiency by incorporating decision support tools for clinical management. The future of HIS involves modular architectures facilitating the integration of various tools, such as artificial intelligence (AI) models. The European Clinical Database (EuCliD[R]) is presented as an example of a multilingual HIS used by over 20 000 healthcare professionals to manage over 100 000 patients, encompassing patients' follow-up, automatic reporting, mobile applications and efficient management of clinical processes, and designed to incorporate AI modules and advanced dynamic dashboards. Keywords: artificial intelligence in healthcare, clinical decision support, digitalized healthcare, health information system, value-based healthcare
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[R]). 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. LAY SUMMARY The healthcare system is responding to challenges posed by increasing costs, a shortage of healthcare professionals and growing medical complexity. Value-based healthcare reimbursement systems and digitalized services attempt to alleviate such challenges. Health Information Systems (HIS) have emerged as technological solutions to manage data flow during healthcare delivery. The exponential growth of digital capabilities and advanced analytics has expanded HIS's traditional functionalities, promising to automate administrative procedures and enhance healthcare service efficiency by incorporating decision support tools for clinical management. The future of HIS involves modular architectures facilitating the integration of various tools, such as artificial intelligence (AI) models. The European Clinical Database (EuCliD[R]) is presented as an example of a multilingual HIS used by over 20 000 healthcare professionals to manage over 100 000 patients, encompassing patients' follow-up, automatic reporting, mobile applications and efficient management of clinical processes, and designed to incorporate AI modules and advanced dynamic dashboards. Keywords: artificial intelligence in healthcare, clinical decision support, digitalized healthcare, health information system, value-based healthcare