In the last few years, complex health conditions of patients and rising medical costs have created an opening for technology to optimize the constrained resources and improve patients' care. Artificial intelligence (AI) is one of the most significant technological trends that is making a major impact on patients' lives. However, we are expecting more out of this technology by 2030 as the healthcare industry is sure to undergo more drastic and advanced changes for the better.
By 2030, AI will help hospitals to focus more on critical & emergency medical cases. On the other hand, the less complex cases will be taken care and treated by retail clinics, specialist treatment clinics and also people’s homes, which are connected to a single digital infrastructure. "Centralized command centers analyze clinical and location data to monitor supply and demand across the network in real-time". There's more in store for us by 2030 as AI will help in reducing patients' wait times, thereby improving staff workflows and taking on the ever-growing administrative burden.
Today, AI, machine learning and deep learning are no longer future technologies; they’ve already found traction in the medical field. At a time when the medical industry is undergoing drastic changes, these brilliant technological trends are bringing in the change to improve all aspects of patient care and enhanced clinical collaboration. At HPE, the OEM team has been consistent in driving innovation and Machine Learning that has opened up an accelerated path to stay ahead of the competition and further enhance the value of your solutions.
Click here to learn how HPE Artificial Intelligence and Data-Driven Services will help you in every step of the way from big data foundation to AI-driven automated business outcomes.
Audrey Cox
Hewlett Packard Enterprise
twitter.com/hpe_partner
LinkedIn/groups/6988995/
hpe.com/us/en/solutions/OEM
