Due to this Pandemic situation the Big Data Analytics have started planning to prevent the disease and various efforts to control the situation. Big data is an area which works systematically to find the ways to analyze various complex issues through data-processing applications. Want to know more about big data analytics in Healthcare? Let’s get started!
How Data Analytics Help the Health System during COVID 19 in the right way?
Data can help in fighting against health crisis like the coronavirus. All clinical data can be stored in the EHRs that are Electronic Health Record. This will provide various important understanding in treating coronavirus patients. As the number of Covid 19 patients are increasing day-by-day all the clinics and non-clinical areas are turning into a hospital setup for them. Home-isolation, diagnosis, Home-Isolation monitoring through remote, Ventilation etc everything are going on for treatment of Covid 10 patients. Accessing data is very difficult. Allscript developed a new program to cure and improve health issues immediately. Allscripts has decided to release data as early as possible to control the situation. It released little awareness which includes: Patients who have chronic kidney, heart disease and are suffering from Covid 19 have 2.5 times more chance to die. Middle-aged patients have less chance to survive. Men have 1.3 times more chance to die than women. 59 year is the average age to be hospitalized with Covid 19. Around 57% patients who are hospitalized are less than 65 years old.
Few ways by which analytics can help fighting Covid 19!
Identifying and taking care of the patients of high risk before they get infected. Availability of necessary resources for protection from this virus such as N95 masks, gowns, gloves, and sanitizer. ICU capacity, Ventilator, Isolation sector needs to be expanded. Stimulating data access and preparing for fast recovery. Data analytics technology will help in understanding the immunity level required in our body for future. Analytic tools will help in treating infectious disease.
The challenges and various opportunities of Analytics in Healthcare!
There are many challenges of big data analytics in healthcare. Big data is one of the tough agreements taken in healthcare industries. Data-driven awareness has been successfully integrated in their systems. This will leads to lower care costs and make patients healthier. Through its rewards are huge but various problems were also there. Big data are very complicated. Organization faces problems in trapping clean, complete and accurate data. Healthcare units are generally very careful in keeping rooms, surroundings clear. Cleaning is an important part in clinics or operation rooms etc but regular cleaning of data is also important. Inconsistent data can stop any big data projects like any record related to clinical or operational sources. Cleaning data will help to know which data is accurate and correct. Storage is another challenges faced by them because as the number of data increased the storage capacity for all the data related to healthcare needs to be extended. Cloud storage is a good option to store data safely. High data security to avoid hackings, malware or ransomware episodes in healthcare needs to be strong. Using updated anti-virus software, encrypting sensitive data files, various step authentications is required to keep everything secured. On the other hand data analytics has save various consequences as it helps to cure diseases and lower down healthcare costs.