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Big Data Challenges and Opportunities in Healthcare Informatics and Smart Hospitals

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Abstract

Healthcare informatics is undergoing a revolution because of the availability of safe, wearable sensors at low cost. Smart hospitals have exploited the development of the Internet of Things (IoT) sensors to create Remote Patients monitoring (RPM) models that observe patients at their homes. RPM is one of the Ambient Assisted Living (AAL) applications. The long-term monitoring of patients using the AALs generates big data. Therefore, AALs must adopt cloud-based architectures to store, process and analyze big data. The usage of big data analytics for handling and analyzing the massive amount of big medical data will make a big shift in the healthcare field. Advanced software frameworks such as Hadoop will promote the success of medical assistive applications because it allows the storage of data in its native form not only in the form of electronic medical records that can be stored in data warehouses. Also, Spark and its machine learning libraries accelerate the analysis of big medical data ten times faster than MapReduce. The advanced cloud technologies that are capable of handling big data give great hope for developing smart healthcare systems that can provide innovative medical services. Building smart Remote patient monitoring models using cloud-based technologies will preserve the lives of patients, especially the elderly who live alone. A case study for monitoring patients suffering from chronic diseases (blood pressure disorders) for 24 h with a reading every 15 min using a cloud-based monitoring model shows its effectiveness in predicting the health status of the patients.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering and Systems, Faculty of Engineering, Mansoura University, Mansoura, Egypt

    Mohammed K. Hassan & Ali I. El Desouky

  2. Department of Computer Engineering, MISR Higher Institute for Engineering and Technology, Mansoura, Egypt

    Sally M. Elghamrawy

  3. Department of Computer Engineering and Automatic Control, Faculty of Engineering, Tanta University, Tanta, Egypt

    Amany M. Sarhan

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  1. Mohammed K. Hassan
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  2. Ali I. El Desouky
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  3. Sally M. Elghamrawy
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  4. Amany M. Sarhan
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Correspondence to Mohammed K. Hassan .

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Editors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Computers and Information, Mansoura University, Dakahlia, Egypt

    Mohamed Elhoseny

  3. Department of Computer Science, Georgia Southern University, Statesboro Campus, Statesboro, GA, USA

    Syed Hassan Ahmed

  4. Department of Computer Science and Engineering, National Institute of Technology Patna, Patna University Campus, Patna, Bihar, India

    Amit Kumar Singh

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Hassan, M.K., El Desouky, A.I., Elghamrawy, S.M., Sarhan, A.M. (2019). Big Data Challenges and Opportunities in Healthcare Informatics and Smart Hospitals. In: Hassanien, A., Elhoseny, M., Ahmed, S., Singh, A. (eds) Security in Smart Cities: Models, Applications, and Challenges. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-01560-2_1

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