Data-Driven Healthcare Management, Analysis, and Future Trends

Data-driven approaches are revolutionizing healthcare management and analysis, offering insights into patient care, operational efficiency, and future trends. The sum of information Big data’ is, can do miracles. In the last 20 years, it has become a topic of interest because the potential lies within is enormous. Big Data is produced, stored and examined by several industries of public and private domain with the main aim to enhance their services. Big Data comes from variety of resources in medical industry such as medical patient records, test reports, and IOT medical devices. The large amount of data is generated by medical research which is vital to public healthcare. The data must be appropriately organised and analysed to obtain useful information. Else, finding solution through big data analysis will be like looking for needle in haystack. Set of difficulties frequently occur at every phase of managing Big Data which can only be overcome by installing advanced computer systems for its analysis. This paper examines the relationship between data science and healthcare with an intent to use complex metrics to make intelligent and accurate decisions. Important areas are data-driven approaches for enhancing medical administration, recognizing new developments influencing healthcare evolution, and the methods for evaluating large sets of medical data. By incorporating the data-driven techniques, the medical industry might able to improve the patient health, optimize operations and adjust to current as well as to continuously evolving situations.