Hadoop-Based Applications for Health Industry
As health data is primarily in print, it is necessary to digitally digitize print data. Most of these data are unstructured, so extracting meaningful information on patient care, clinical operations and research is a major challenge for the industry. A collection of software tools called the Hadoop ecosystem can help the healthcare sector manage large amounts of data. The various uses of the Hadoop ecosystem in the healthcare sector are as follows:
Cancer and Genomics Treatment
Human DNA has three billion base pairs. In order to fight with cancer, it is important to effectively organize large amounts of data. The model of cancer mutation and its response vary from individual to genetic, which explains the non-healing of some cancers. Oncologists have determined that it is important to provide specific treatments for specific cancers based on the patient's genetic makeup when identifying cancer patterns . Hapdoop MapReduce technology helps map three billion underlying DNA partners to determine the right cancer treatment for each specific patient. Arizona State University is working on a project to develop a health model that receives individual genomic data and selects treatments based on the identification of cancer genes in patients. This model provides the basis for treatment through big data analysis to improve the chances of saving patients' lives.
Patient Vitals Monitoring
Hospitals around the world connect the results of their work with large-scale data technology. Several hospitals around the world use Hadoop components in the Hadoop Distributed File System (HDFS), including Impala, HBase, Hive, Spark and Flume frames to handle the vast amount of unstructured data displayed by sensors. The changes in heart rate per minute, blood pressure, blood sugar and respiratory rate are recorded. Without Hadoop, these healthcare professionals were unable to analyze these unstructured data generated by patients' healthcare systems.
Networking of Hospital
Several hospitals use the Hadoop ecosystem's NoSQL database to collect and manage their huge amounts of real-time data from diverse sources related to patient care, ﬁnances, and a payroll, which helps them identify high-risk patients while also reducing day-to-day expenditures.
Intelligence system of Healthcare
Hadoop Technology supports health care applications used by hospitals and insurance companies. Hadoop ecosystems pigs, hive and mapping technology reduce the number of data related to medications, diseases, symptoms, opinions, geographic regions and other factors related to significant insurance processes such as age.
Prevention and Detection of Frauds
In the initial faces of data analysis, the health insurance group uses paths to identify fraud activities and create methods to prevent medical fraud. Hadoop companies use advertising-based applications to identify their pre-existing health claims, voice recordings, rentals, and demographic data frauds. The Hadoop’s NoSQL database is useful for preventing medical malpractice claims, real-time Hadoop-based healthcare applications, actual medical claims, weather forecast data, voice data recordings, and other data sources.