Cognitive Computing can Revolutionize HealthCare Sector




There have been years of research on Cognitive Computing and the same has been put to develop solutions for a wide range of problems. The research and even end products show that cognitive computing is extremely beneficial to domains of marketing, finance, technology, and operations. To Healthcare Industry, cognitive computing is much more than a research or science project. Drug researchers, investors, providers, and other truce centers of excellence in the healthcare domain are using cognitive computing to transform the face of the healthcare Industry.

The volume of information contained in the health domain is enormous. Medical journals, patient records, test assessments, and doctor’s notes are quite voluminous for Watson to train on and get smarter, thus benefitting the healthcare industry. Watson integrated technology healthcare products which are been conveyed to the market by WellPoint Inc., a healthcare insurer.

IBM and Memorial Sloan Kettering are deploying Watson’s Oncology Advisor to treat cancer patients. This Oncology Advisor is being trained by Memorial Sloan Kettering to a hospital network that covers four nations.

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Watson is assisting nurses and doctors to find the right treatment for a patient with the help of the WellPoint Interactive Care Guide, Interactive Care Reviewer, and Interactive Care Insights for Oncology.

Watson is trained so as to sift through patient’s records, document, etc. and formulates a treatment. This treatment is then analyzed by a nurse, who, then approves it or sends it further for approval of a doctor. This gathering of data, preprocessing of requests, and citing conclusion for oncology results saves a great deal of doctor’s time.

The Oncology product by IBM also has a confidence rating of its own where it determines the treatment by processing the documents and gives a confidence rating based on the information fed to it. If Watson gives a high confidence rating, the decision making time for a nurse is shortened. If Confidence rating is low, Watson hands the case over to a nurse for further analysis.

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Apart from Watson, there is an increase in the number of vendors who are offering cognitive solutions and services. Reed Elsevier’s Clinical Key embed these services in their cloud-based solutions which is one such example of mature cognitive machine technology in healthcare.

HealthCare cognitive solutions are primarily driven by retails giants like Wal-Mart who are indulging in primary care business. The model for urgent and primary healthcare revolves around physician assistants and nurse practitioners who diagnose and prescribe. This approach needs Artificial Intelligence and Cognitive Computing tools to integrate written data with electronic medical records and also to reduce the cost of primary healthcare.

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As Healthcare’s analytical and operational workflows become increasingly implanted in software, in the coming years, there will be increasing automation of care delivery.

Watson and other such Cognitive Computing tools are considered trustworthy to the people who have worked with them. This is similar to the doctor, who a patient visits for the first time and challenges his treatment but gradually the patient gains confidence in him. The future of Cognitive Computing in Healthcare is gargantuan as we have just scratched the tip of the iceberg.



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