Academic Journal

Enhancing Digital Health Services with Big Data Analytics

التفاصيل البيبلوغرافية
العنوان: Enhancing Digital Health Services with Big Data Analytics
المؤلفون: Nisrine Berros, Fatna El Mendili, Youness Filaly, Younes El Bouzekri El Idrissi
المصدر: Big Data and Cognitive Computing; Volume 7; Issue 2; Pages: 64
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2023
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: big health data, electronic health records, analytics, machine learning, NoSQL database
الوصف: Medicine is constantly generating new imaging data, including data from basic research, clinical research, and epidemiology, from health administration and insurance organizations, public health services, and non-conventional data sources such as social media, Internet applications, etc. Healthcare professionals have gained from the integration of big data in many ways, including new tools for decision support, improved clinical research methodologies, treatment efficacy, and personalized care. Finally, there are significant advantages in saving resources and reallocating them to increase productivity and rationalization. In this paper, we will explore how big data can be applied to the field of digital health. We will explain the features of health data, its particularities, and the tools available to use it. In addition, a particular focus is placed on the latest research work that addresses big data analysis in the health domain, as well as the technical and organizational challenges that have been discussed. Finally, we propose a general strategy for medical organizations looking to adopt or leverage big data analytics. Through this study, healthcare organizations and institutions considering the use of big data analytics technology, as well as those already using it, can gain a thorough and comprehensive understanding of the potential use, effective targeting, and expected impact.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: https://dx.doi.org/10.3390/bdcc7020064
DOI: 10.3390/bdcc7020064
الاتاحة: https://doi.org/10.3390/bdcc7020064
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.322E4E74
قاعدة البيانات: BASE