Effective provision of medical care is vital to society. Over time, the healthcare industry has turned to modern technology to maintain service quality. Not surprisingly, this has led to a lot of patient data. But it’s not just patients who need to store their data; doctors, physicians, clinical staff, and even flexible consumption devices are contributing to what has been dubbed “health care big data.”
Big data analytics (BDA), which involves the use of a unique design architecture to manage, store and analyze complex data, is an important tool in healthcare. But it is difficult to implement, due to its high failure rate, resource-intensive process, and – more importantly – a lack of clear guidance to help practitioners.
In a recent study published in IEEE / CAA Journal of Automatica Sinica (Volume 8, Issue 1, January 2021), researchers from Pakistan and Australia addressed this issue, offering a roadmap for the successful implementation of BDA in healthcare.
They proposed a standard architecture that promises to solve all the challenges currently associated with BDA. Professor Tariq Mahmood from the Institute of Business Administration (IBA), Pakistan, lays down his motivation behind the study, “In reality, healthcare analysis has been used for more than two years. decade, but it has not yet served up big data healthcare, research, we have proposed an architecture that has the potential to solve a large number of healthcare analytics problems in the next 5 years. “
In the past, researchers have sought to summarize the research work on BDA applications to improve patient health care. The summary is satisfactorily accomplished through a systematic and routine review of published academic research papers.
In the current study, the team took this approach to the next level by conducting the review through five different tasks: 1) focusing on the use of each big data technology, 2) identifying all limitations and challenges identified in previous studies, 3) propose a modern, state-of-the-art design architecture called “Med-BDA” to solve these challenges, 4) identify strategies for its successful implementation in the field of healthcare, and 5) compares their work with all previously published studies.
The new Med-BDA architecture uses “Apache Spark technology” to analyze not only real-time data but also non-real-time data along with social network data to understand the bottlenecks- obstruction of treatment process and necessary prediction, for example, in – patient cost estimates and expected mortality.
Doctors can use these predictions to look at the patient’s condition in real time and give them better and more effective treatments. Furthermore, by comparing their work with selected papers, the researchers confirmed that their Med-BDA architecture was unique, with no similar strategies previously proposed.
The research team is excited about Med-BDA’s future plans.
Dr Mahmood says:
Med-BDA can combine gigabytes of information from different sources and analyze them simultaneously to build a clear picture of patients’ treatment processes for real-time and batch-level analyzes. Furthermore, with the growing growth of ‘Internet-of-Things’ (IoT) in healthcare, Med-BDA will be able to digest IoT big data and thus improve BDA . “
Perhaps, we are on the verge of a “major” turnaround in health care!
Source:
Chinese Automobile Association