After corporates, data analytics slowly making inroads into healthcare
WGD Analytics is one such company that offers analytics solutions across critical infrastructure sectors including healthcare.
Apollo Hospitals Group recently said that the contribution of non-communicable diseases (NCDs) as the top cause of death in India has surged to around a whopping 64.9 per cent. The healthcare chain also released a report wherein it mentioned how this increasing number of deaths caused by NCDs can be prevented with artificial intelligence and big data.
While data has been a crucial part of business operations, its significance is being felt in the healthcare sector as well in the recent times and thankfully, new-age analytics companies are catering to this growing need.
WGD Analytics is one such company that offers analytics solutions across critical infrastructure sectors including healthcare. Its data analytics tool helps in analysing huge chunks of data and generating relevant information from there. With instant visualisation analysis as a part of its analytics solutions, it displays complex data in easily comprehensible formats such as pie charts, infographics, tables, etc. By analysing patients’ records, in healthcare, such tools can facilitate the identification of medical issues early on and predict the underlying risks of ‘silent diseases’.
With analytical tools at disposal, not only will healthcare professionals be able to predict underlying health conditions of patients, the healthcare costs will also be dramatically reduced. Speaking of the latter, a six-year-old startup Innovaccer, set up in 2014, uses raw patient data to foresee an individual's risk score (including medical conditions and the cost of care). It then provides the information derived from these analyses to hospitals and healthcare providers based on which they make necessary decisions for the patients. Unlike WGD Analytics, which is a new-age analytics company, Innovaccer is relatively more established and is looking to expand its presence on the U.S shores.
While data analytics plays a crucial role in improving patients’ lives, its significance in easing administrative works in hospitals cannot be overstated as well. A survey by ZDNet revealed that an average doctor spends about three hours per day filling forms in EMRs (Electronic Medical Records). Thus, integrating machine learning and data analytics in the healthcare systems can enable the healthcare professionals to spend those three hours doing something more productive.