Health care industry has found innovative solutions by adopting Artificial Intelligence (AI) for care and case study. AI has helped healthcare industry to reduce costs, identity protection, improving process, determining most effective pharmaceutical compositions and provide predictive analytics to assist physicians in time of emergencies. Here are a few influences of AI in the healthcare industry.
Providers are able to monitor patients health by using AI enabled tools and provide virtual medicines. This method is cutting down the distance between rural patients to leading urban health centers with better resources.
AI, ML, and Deep Learning (DL) algorithms are trained on datasets to support medical professionals in screening pathologies with high-level accuracy.
Health systems must use the same EMR hosting system in order to connect and share information with another health care system. Blockchain technology has the potential to transfer the data between different EMR systems with enhanced encryption.
AI can be programmed to analyze data from various sources like electronic health records, wearables, and genetic tests to create personalized and timely outputs, such as disease risk profiles to assist providers.
With developments in AI enabled robotic surgery, physicians can perform surgeries remotely to save lives of patients at distant areas. Physicians wear a special glove with sensors to feel the pressure and touch that is being applied by the robot during operations. These AI enabled robots can replicate the actions of several surgeons at once, with four robots operating simultaneously.
IoT has improved healthcare systems with solutions to monitor cancer patients, Continuous glucose monitor (CGM), IoT medicine, Open Artificial Pancreas System (OpenAPS) for automated insulin delivery, improving adherence, ingestible sensors, connected inhalers for asthma patients, coagulation testing devices are among the many. These devices are helping physicians to track, share information, predict and diagnose patients with greater accuracy
AI has benefitted the healthcare industry by reduced healthcare costs, predicting epidemics, avoiding preventable deaths, better quality of life, reduced healthcare resource wastage and improved efficiency in case of emergencies.
Bigdata in Vaccination
There is a major possibility of diseases making a strong comeback if people are not vaccinated. Bigdata is being used to generate lists of people to identify under-vaccinated populations, identify vaccines which are overdue, and give reminders to doctors and the public. Diseases like Flu, chicken pox, whooping cough, measles, zika, Ebola, HIV/AIDS are a few that have been controlled by proper surveillance by using Bigdata.
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