Integrated Healthcare and Its Analytics: A Look at AYUSH's Current State and Its Future Potentials

Abstract

Context: Healthcare costs in India have been rising at a steady rate, but the quality of treatment patients receive has not changed noticeably. In order to incorporate AYUSH, numerous strategies, programmes, and policies have been developed. A decrease in mortality rates, healthcare expenditures, and medical problems is possible with the use of modern healthcare technology. The collection of healthcare data has become much easier due to technological advancements.
Analytical problem: In today's digital world, data is crucial to healthcare. Rapid advancements in data sensing and collection have allowed healthcare systems like AYUSH and facilities to start collecting enormous amounts of patient data. To understand and build knowledge from healthcare data, advanced analytical methods are required to convert data into useful and practical information. All of these AYUSH under one roof, share certain basic similarities despite their vast diagnostic and therapeutic differences. They all use different approaches to development and finding the right metrics to measure success and standardization. The inability to see beyond the existing data sets and the lack of communication between the various AYUSH systems has led to the construction of a second data layer. This data creation is questioning existing data generation.
Analytical solutions: The use of analytical solutions to healthcare data is necessary, but the move from reactive to proactive healthcare delivery is very promising. Sensors, images, text (in the form of biological information), clinical notes, and traditional electronic records are just a few of the many sources that add to the unique wealth of healthcare data. The processing and analysis of the underlying data is made more challenging by the range of methods utilized to obtain and portray the data. A broad variety of approaches are required for the analysis of these diverse data kinds. The diversity of the data also introduces new challenges to data integration and analysis. However, the healthcare industry is just now beginning to tap into the immense potential of these integrated data analysis tools. It is increasingly difficult to achieve significant progress in data integration due to the increased complexity of health brought about by this integrated medical system. This is because medical practitioners and academics have not had enough exposure to data analytics, and computer professionals do not possess the necessary healthcare competences.
Insights: Sadly, healthcare data are not regarded as data but as information, which leaves them exposed and disconnected from real domain-specific problems. Consequently, issues are often framed with great healthcare technology but little practical relevance. In order to reduce health burden, improve AYUSH integration, and minimize inequities, it is commonly acknowledged that healthcare technologies must be utilized. Nevertheless, by carefully reviewing the most relevant contributions from each field, this research paper seeks to unite the different group of professionals. By bringing these different professionals together, we can unleash the full power of data analytic approaches. On top of that, the article's focus is on new ways of thinking about integrative health systems that would bring together AYUSH treatment.