This describes about what is AI cloud computing in healthcare? and talks about how AI Cloud Computing Transforms the Healthcare Space? and describe some useful use cases of AI in healthcare.
Artificial intelligence-driven cloud computing is starting to take off well in the healthcare ecosystem. It is not surprising though; after all, it unites cloud computing with artificial intelligence to aid hospitals’ goals and efforts to deliver better, more intuitive healthcare experiences to patients. However, it may help to understand that this is merely the start of a new era in healthcare, i.e. AI, cloud computing, and other such technologies will continue to play an increasingly crucial role in the sector.
But, we digress; now that we have a basic understanding of the concept, let’s consider how this concept has impacted the healthcare sector.
1. Improved productivity: Cloud-based, AI tools offer the opportunity to automate plenty of manual tasks, optimize processes, and so much more. This, then, helps save time for not only doctors but also the healthcare facility’s staff. As a result, they are better able to focus on important aspects of their respective jobs, be it providing care or doing administrative care in the hospital.
2. Cost savings: Since AI requires an abundance of processing power, access to this technology was fairly limited on account of its prohibitive cost. However, that has changed with the union of AI and cloud computing, which has now empowered healthcare of even the smallest scale to leverage this avant-garde technology without needing to rework on their budgets.
3. Ameliorate population health outcomes: Machine learning, backed by a robust cloud environment, is primed to be much more functional and precise. The agile resourcing thus enables hospitals and healthcare providers to better monitor increased amounts of last-mile data from remote patient monitoring devices, health trackers, wearables, etc.
To further elucidate the point, now allow us to walk you through some use cases of artificial intelligence in healthcare.
1. Better diagnosis: Thanks to AI’s ability to quickly process humongous amounts of data, it can pore over the patients’ history and other historical data related to the symptoms, test results, etc. to help doctors arrive at a better, more informed diagnosis that factors in not only the patients’ current stats but also factors such as previous ailments, treatments, allergies, etc.
2. Medical imaging analysis: AI-driven computer vision can analyze medical scans, test rules, reports, etc. to offer precise insights. This information is then channeled to doctors’ who are now also able to save time on going over such reports and analysis and instead, spend it with patients to offer them better care and focused treatment plans.
3. Monitor health: AI, together with wearable technologies, allows doctors and healthcare facilities to provide 24x7 care to patients, even when they are not in the facility. This way, hospitals can monitor patients’ stats round-the-clock, send alerts in case any unusual changes are noticed, etc.
As the world and the countless technologies within it continue to evolve, there’s little doubt that the role they play across different industries will further deepen. This is, perhaps, best demonstrated via the transformation of the global healthcare sector where myriad technologies have helped hospitals deliver increasingly better quality of care to patients and achieve several other critical advancements in the system, such as the adoption of cloud computing for healthcare. As the above discussion demonstrates, cloud computing, further fortified with artificial intelligence, can do wonders for any healthcare facility that embraces it. So, what are you waiting for, then?
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