Many business challenges often get stuck behind the dreaded phrase "But...". It's like the ultimate excuse machine, throwing up barriers like lack of resources, culture, data, or time. This is especially true for AI adoption—there are always these "buts" standing in the way. Yet, when you look at the healthcare industry, the impact of AI is undeniable.
The global AI in the healthcare market was estimated to be worth USD 15.1 billion in 2022 and is projected to exceed USD 187.95 billion by 2030.
Using AI for Claim Processing, Overuse, and Fraud Detection in Health Plans will potentially save the US Healthcare System over $1 trillion in losses and inefficiencies annually.
AI can drastically improve operational efficiency in Operating Rooms, potentially jumping from 39% to as high as 93%, thereby safeguarding patient safety and preserving institutional reputation, where 35% to 40% of hospital finances are typically allocated.
Sure, those numbers show that AI is really upping the game in healthcare—boosting diagnosis accuracy, treatment efficiency, saving tons of money, and optimizing resources. But despite all that, there are still a bunch of “buts” slowing things down.

Beliefs that Stand in the Way of AI Adoption & The Globant Way To Unlock This Entanglement
1 THE BUT
Healthcare is
Personal…
Do you know why implementing AI in healthcare feels like a chess game? There’s a blocker moving the pieces: personalization & human touch.
Healthcare is deeply personal, right? Warmth, empathy, those essential things that make you feel safe and understood when you talk to your doctor.
THE SOLUTION
…And AI Is the Ideal Wingman for Taking Personalized Care to a Whole New Level.
AI isn't here to steal that away. It's all about boosting it. So, instead of seeing AI as the bad guy threatening that warm connection, let's flip the script.

A Real-World Solution
A blood glucose monitoring business partnered with Globant to enhance diabetes management through an innovative Salesforce and AI solution, creating engaging content and a personalized experience.
When a diabetic patient entered their shopping website, they received tailored messages and recommendations based on AI. This new approach rapidly paid off big time!
We've seen a remarkable:

