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In recent years, healthcare systems are evolving to shift from manual processes to more digital workflows. Patients’ health histories are stored in online databases and retrieved at any place during a requirement to provide better medical services. During this process, parameters such as cost and resource accessibility have a significant impact in evaluating the performance of patient care.
New healthcare business models are developed to achieve better healthcare solutions in real time. But they are found to be susceptible to increased competition, cost factors, and increasing demands of stringent customers. Electronic Health Record (EHR) data could be a better solution for getting enhanced clinical output with minimized readmissions, minimal cost, and patients’ loyalty. But there arise limitation due to the dynamic behavior of healthcare solutions.
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Health care models have paved the way for advanced data analytics, where healthcare sectors are getting reshaped with the latest discoveries and a digitized experience with enhanced products and services. Until the year 2010, hospitals were following the process of fee-for-service reimbursements in which an amount would be collected from patients on the basis of service provided. Lately, it is being transferred to a hospital value-based purchase program where hospitals are receiving amount on the basis of care they provide. Furthermore, with advancements in digitalization, the raw healthcare data captured from internal and external environmental sources are initially processed through a big data transformation platform and is forwarded to big data tools such as Hadoop and Mahout for storage and analytics. These data are found to be promising to assist a wide range of medical decision support and disease surveillance. Besides, a sophisticated medical analysis can be easily achieved through identification of the hidden associations of data and understanding the unique patterns from the database.
Fortunately, these advancements have made their way for meaningful use and pay as per the performance in emerging medical sectors. Concepts such as virtualization and cloud computing are facilitating healthcare solutions through effective data storage, capture, and retrieval. In the future, other real-time benefits such as disease forecasting, identification, and correct treatment can minimize patient morbidity. Moreover, the healthcare data are often fragmented due to legacy IT systems which need to be addressed in the future.