By as soon as 2018, some 30 percent of healthcare systems will be relying on cognitive computing and running cognitive analytics against patient data and real-world evidence to personalize treatment (source).
Both healthcare and life sciences industry are focused towards providing a healthier future to patients through care delivery and drugs. Healthcare and life sciences industry has been overloaded with data coming from various sources like wearables, health monitors, doctors, patients, insurance companies, hospital ERP systems, EMRs etc. Traditional and advanced analytics have been used by healthcare providers and pharmaceutical companies to mine and analyze the data to understand the patients better and usage of drugs. However, the constraints of traditional analytics methods limits the use of data to full extent, thus forming a performance gap.
This gap can be filled by cognitive computing with its power to complement traditional analytics.
With its three capabilities to better engage, decide and discover, cognitive computing provides expert assistance to humans and helps them by discovering insights, taking informed decisions from the available structured and unstructured data. It also allows better engagement between patients, providers and payers to create a better ecosystem. For the healthcare and life sciences industry, cognitive computing can transform the way patients are treated and drug discovery.
Learn how a leading healthcare provider in India is adopting Watson‘s cognitive powers to treat cancer patients:
Though, there is still lot of education that needs to be imparted to healthcare and life sciences executives around the use and benefits of cognitive computing , a survey revealed that a majority of executives familiar with cognitive computing indicated that they are likely to invest in it in future with majority doing so in coming years.
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