Medical predictive analysis is slowly being recognized as a system that if utilized well can completely change the very face of medicine and healthcare practices.
We have all been a patient at least once in our lives and there is a high likely that we will be so again. While some of us may require medical attention more frequently than others and some do not, but we have all been to the clinic at some point and we all desire the best of medical care. We believe that the doctors and technicians there are equipped to provide us with that and that there has been good research and understanding behind all their medical decisions. But that is often not the case.
We do not intend to undermine all physicians as underperformers; they are smart and well-trained professionals who do their best to stay updated with the latest trends and developments in medicine. But the arduous task of committing every such information and knowledge to their human memory is not free from usual slip ups and cannot be in their fingertips at all times.
While they might have access to a large amount of data to compare their treatment outcomes for different diseases they would still require time and requisite know how to analyze those data and integrate it with the patient’s specific medical profile. While this seems like a great idea, but is beyond the scope of any medical practitioner. This is the main reason that majority of medical practitioners along with insurance companies are using data analysis for better utilization of their patient data.
We believe that predictive analysis can help determine when a patient should be released from a hospital safely with proper analysis of their data:
We believe that these implementations can completely transform the way medical practices work for developing public health and disease mitigation. For more details on R predictive modelling feel free to consult an expert at DexLab Analytics!