Medical informatics and bioinformatics are relatively new and progressing fast disciplines which are of great significance in the contemporary bio-medicine. Medical informatics is concerned with information technology use in improving healthcare services, whereas bioinformatics focuses on using computer applications to manage biological data, mainly for genomic and protein studies. The current article looks at how both aspects are applied in bio-medicine with particular emphasis on personalized medicine and genotype-based medicine. From the extensive review of current literature, the research finds that both EHRs and bioinformatics are being embraced in practice and the findings show that they can attain the set objectives of increasing diagnostic accuracy, minimizing errors, and enhancing patient care. Nevertheless, limitations such as privacy of patient’s information, data complexity, and prohibitive costs persist. This section presents a comparison of the utilization of informational tools in the field of bioinformatics and EHR in the clinical practice of different countries and circumferences. The results section states the findings with respect to the research questions highlighting the relationships between the adoption of bioinformatics tools and processes directly on individual patients. The discussion of the results in the context of the existing ones supplies the encouraging facts supporting the usage of bioimaging systems on the genetic studies and precision treatment of patients. Finally, the paper wraps up with a discussion of possible.

Bio-medicine Applications Based on New Frontiers in Medical Informatics and Bioinformatics / Popolo, Valentina; Nyanchama, Kelly; Marchesano, Maria Grazia. - (2025), pp. 383-394. ( 1st International Conference Logistics and Lean Engineering for Advanced Healthcare Methodologies Modelling, LLEAHMM 2024 ita 2024) [10.1007/978-3-031-82923-9_35].

Bio-medicine Applications Based on New Frontiers in Medical Informatics and Bioinformatics

Valentina Popolo;Maria Grazia Marchesano
2025

Abstract

Medical informatics and bioinformatics are relatively new and progressing fast disciplines which are of great significance in the contemporary bio-medicine. Medical informatics is concerned with information technology use in improving healthcare services, whereas bioinformatics focuses on using computer applications to manage biological data, mainly for genomic and protein studies. The current article looks at how both aspects are applied in bio-medicine with particular emphasis on personalized medicine and genotype-based medicine. From the extensive review of current literature, the research finds that both EHRs and bioinformatics are being embraced in practice and the findings show that they can attain the set objectives of increasing diagnostic accuracy, minimizing errors, and enhancing patient care. Nevertheless, limitations such as privacy of patient’s information, data complexity, and prohibitive costs persist. This section presents a comparison of the utilization of informational tools in the field of bioinformatics and EHR in the clinical practice of different countries and circumferences. The results section states the findings with respect to the research questions highlighting the relationships between the adoption of bioinformatics tools and processes directly on individual patients. The discussion of the results in the context of the existing ones supplies the encouraging facts supporting the usage of bioimaging systems on the genetic studies and precision treatment of patients. Finally, the paper wraps up with a discussion of possible.
2025
9783031829222
9783031829239
Bio-medicine Applications Based on New Frontiers in Medical Informatics and Bioinformatics / Popolo, Valentina; Nyanchama, Kelly; Marchesano, Maria Grazia. - (2025), pp. 383-394. ( 1st International Conference Logistics and Lean Engineering for Advanced Healthcare Methodologies Modelling, LLEAHMM 2024 ita 2024) [10.1007/978-3-031-82923-9_35].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1015768
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