The timing of a single decision in healthcare & hospital operations can literally mean the difference between life and death, compliance or regulatory penalty, and profitability or foreclosure. The sheer amount of data that needs to be processed, analyzed and acted upon daily is staggering for most industries, but double so for healthcare due to the direct impact on the life and well being of patients.
Compound that with the ever changing regulatory issues and compliance requirements and the impact of catastrophic events such as hurricanes, tornadoes, fires and earthquakes and you have a recipe for chaos. The good news is that recent advancements in zero-code generative artificial intelligence (GenAI) has made it possible to develop an intelligent cloud to improve outcomes and optimize care operations in a secure, cost-effective and scalable manner.
Modernization of legacy applications has become a “need to have” for healthcare organizations looking to maintain their competitive standing and operational profitability. Instead of continuing down the path of proprietary solutions that require dedicated tools and resources, many are now evaluating an intelligent cloud solution that leverages new advancements in GenAI and reinforcement learning. Simply put, an intelligent cloud is a cloud computing platform that leverages to power of GenAI to enhance its capabilities and transform data into usable information accessible by the average person.
McKinsey & Company published an article titled “Tackling healthcare’s biggest burdens with generative AI” and projected that “Gen AI represents a meaningful new tool that can help unlock a piece of the unrealized $1 trillion of improvement potential present in the industry.”
Ultimately healthcare professionals are experts in their field and not usually comfortable with the rapid advancements in technology. So, having the ability for a healthcare professional to “converse” with a machine using natural language (NLP) to get the analytics they need to make better decisions and generate administrative documentation such as post-visit summaries, care coordination notes, changes in EMRs, dictations, and claim documentation.
A successful AI transformation/intelligent cloud project for healthcare & hospital operations will empower business leaders, physicians, and clinical staff to make better decisions without the need for specialized tools and resources. Some of the specific use cases include:
The good news is that you won’t have to wait months or even years to realize the benefits of an intelligent cloud for your healthcare organization. New developments in open-source, zero-code SaaS platforms mean that legacy system modernization projects can be tackled with a new technology stack that reduces dependencies on proprietary systems and the costs of dedicated tools and resources.
Vendors like UBIX deliver on the promise of a zero-code, highly scalable and flexible cloud architecture that leverages the best-in-class cloud technologies to support modern data workloads, including analytics, AI, and ML. A perfect fit for any AI transformation or intelligent cloud project. With an architecture that is designed to adapt to the varying demands of large healthcare enterprises to hospitals groups and clinics, allowing them to scale up or down based on their specific requirements.
Learning how GenAI and emerging advancements like Reinforcement Learning can deliver on the promise of an intelligent cloud for healthcare & hospital operations has never been easier. Download our free eBook titled “5 Steps to AI Business Transformation Success” to help better understand the nuances of emerging AI concepts and technologies and offer a set of best practices for consideration to ensure digital transformation and business-led AI success. Or if you can spare 22 minutes for a mini–AI Readiness Workshop, you can contact one of our AI experts today.