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One will also get to see advanced analytics assist physicians in the development of personalized patient treatment plans. The benefits of predictive analytics in healthcare can be extended to nearly any facet of medicine.
FREMONT, CA: Technological disruption brings positive and negative transformations as well as more complexity to the healthcare industry. But when guided by a clear visualization of social accountability, disruptive technology presents striking advantages.
Predictive analytics in healthcare driven by artificial intelligence represents the most disruptive shifts. Nevertheless, it is primarily changing what it means to deliver worth to both patients and society. It is particularly pertinent considering the significance of social responsibility in healthcare; the industry is chasing to find new ways to take advantage.
The Potential of Predictive Analytics
Accurate prediction is vital to successful medical interventions. Currently, multiple organizations are competing to find AI-based solutions for other healthcare-related issues (like unnecessary hospital readmissions). One will also get to see advanced analytics assist physicians in the development of personalized patient treatment plans. The benefits of predictive analytics in healthcare can be extended to nearly any facet of medicine.
Part of the technological challenge entails using massive data sets that include information from many patients. The instance has its difficulties like adhering to privacy laws, ensuring data sets are clean, and discovering the right modeling approach to collect the most insight. However, conquering big data challenges in healthcare will pay off in many ways. It will play a vital role in the search for cures for some of the most upsetting illnesses.
Another notable benefit of predictive analytics in healthcare involves transforming the customer experience. Clear, accurate communication is exceedingly crucial to patients and families, and AI can provide online chatbots, interactive data kiosks in hospitals, and other systems that offer information on demand. In this regard, networks for predictive analytics in healthcare must not be seen as disruptors, but as enablers. They will facilitate patients and their families to access healthcare that is much more safe, efficient, accurate, and private. Similarly, they will also make it easy for medical administrators and professionals to offer that experience.