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Top1. Introduction
As the use of technology spreads rapidly in various fields, the advancement in the medical field in the aspect of data gathering and processing has not bloomed to its fullness (Keikhosrokiani, 2020b, 2021b; Keikhosrokiani et al., 2018; Keikhosrokiani et al., 2019; Keikhosrokiani et al., 2012; Keikhosrokiani et al., 2015). This may be due to the immense number of information sent to hospitals where data gathered is not segregated and analysed in order optimally. Besides, hospitals may have the issue of lacking useful input and real time data from patients. This rings a warning sign as the mortality rate increases due to chronic diseases. Based on the survey done by World Health Organization (Organization, 2020), heart disease remains as the leading cause of death around the world, even with significant and sharp rise in the death rates of the Covid19 pandemic (Troeger, 2021). The current systems that are available in hospitals lack the ability to monitor patients’ bad habits. Therefore, a hospital information management system with habit-change features and medial analytical support for decision making (called “Doctive”) was developed in Penang, Malaysia in June 2020 for hospitals to monitor patients’ bad habits using emotional and persuasive habit-change features. The proposed system can help to collect and store information related to patients’ bad habits and try to provide them with the prescriptions and supervision at the right time.
Most of the diseases that attack the community are largely based on the habits of individuals. Our habits vary from one person to another, therefore monitoring and promoting change in unhealthy habits will aid in creating a healthier generation. Patients who suffer from cardiovascular or other chronic diseases may be affected by their unhealthy habits such as lack of exercise, unhealthy eating patterns, lack of sleep, smoking, and so forth. The importance of early detection and diagnosis of diseases thorough healthcare systems using big data analytics attracted the attention of researchers (Jagadeeswari et al., 2018; Keikhosrokiani, 2022a). Therefore, a habit-change towards the proper and healthy direction is required to prevent detrimental health issues in the future. The developed web-based system works hand in hand with a mobile application that tracks patients’ daily activities, habits and stores the data in a Firebase cloud platform. Therefore, data can be collected, identified, and analysed by the hospital authorities for further supervision, medical treatments, specified prescriptions and advice. This collected data will be very helpful in providing precise and effective healthcare services by enabling data sharing and performing analytical calculations to provide strategic planning and better decision making (Keikhosrokiani, 2022b; Kolasa et al., 2020; Madanian et al., 2019). With proper implementation and adoption of Big Data in healthcare, the quality of care and assistance to patients can be improved (Mehta & Pandit, 2018). Data analytics is very fundamental for this project as it assists medical personals to provide patients with the right medication, advice, and treatment plans. This new project would also help to improve the hospital’s patient information management system and to provide early care by reaching out to the society.