From electronic health records to clinical management systems: how the digital transformation can support healthcare services.
Carlo BarbieriLuca NeriStefano StuardFlavio MariJosé David Martín-GuerreroPublished in: Clinical kidney journal (2023)
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.
Keyphrases
- healthcare
- artificial intelligence
- health information
- big data
- electronic health record
- primary care
- machine learning
- deep learning
- adverse drug
- mental health
- working memory
- social media
- ejection fraction
- emergency department
- high frequency
- end stage renal disease
- metabolic syndrome
- case report
- adipose tissue
- peritoneal dialysis
- insulin resistance