Abstract: Background: Healthcare systems have been digitally transformed by technological advancement in medical information systems, electronic medical records, wearable and smart devices, and handheld devices. In addition to technological advancement in the healthcare field, this increased number of medical and health data enabled researchers and practitioners to extract and visualise medical large data in a new spectrum.
Objective: This study aimed to review big data and data science applications in healthcare and present in a summary for junior learners to easily understand.
Methods: A literature review on big data and data science application in healthcare and technology-related articles and researches.
Result: Big Data and Data Science application in healthcare mainly to increase effectiveness and efficiency of diagnosing, treatment, taking care of patients, healthcare service & operation, prediction and prevention of illness. The application of data science in healthcare required comprehensive and structured data in a digital format with sophisticated data analytical systems. Applying big data and data science in healthcare requires the availability of many matters in different dimensions, besides policy and budget, collecting health data, data integrity, storing it in digital form, availability of hardware and software, trained staff, responsible persons, data workers, data sharing, connectivity, utilisation of data analytics and availability of health data scientist.
Keywords: data science application, healthcare, big data.
Title: A Literature Review on Big Data and Data Science Application in Healthcare
Author: Nattapong Chitsongsawat
International Journal of Healthcare Sciences
ISSN 2348-5728 (Online)
Research Publish Journals
