Transforming Healthcare with AI

About

Hi, I’m André. I’m a medical doctor turned entrepreneur, with over nine years of experience building healthtech solutions. My last startup, Cara Care, a digital therapeutic (Dtx), became part of the pharmaceutical company Bayer. Today, I’m excited to take on a new challenge.

I’m passionate about healthcare technology and driven to play my part in building a better healthcare system. With the rapid advancements in artificial intelligence, I believe we’re standing at the most transformative moment since the birth of the internet.

Let’s roll up our sleeves and make it happen!

Predictions

To identify the right product and business model for this venture, I like to envision how the world might evolve in the coming years and explore based on these hypotheses: In 10 years, many repetitive tasks will be handled by non-human workers—both physical and virtual. Humans will increasingly seek work centered around joyful, meaningful interactions. Will every task we do be considered traditional “work,” or will some become voluntary pursuits? That’s a societal question only we can answer—and one that will determine whether we avoid dystopian outcomes.

Here’s my prediction of how this transformation might unfold (though I could be wrong about the order! 😉):

• Low-level digital tasks: AI agents will handle mundane digital tasks like booking appointments, scheduling meetings, answering calls, or shopping online. While there will be “wow” moments, expect occasional disappointments (e.g., your AI declines the critical meeting you’ve been waiting for because your calendar is already blocked by a massage appointment 🫠).

• Analytical tasks: Virtual workers will excel at scraping, analyzing, and contextualizing data, providing humans with near-instant insights. Imagine having a personal analyst who helps make data-driven decisions—but you’ll still need the skills to interpret and assess their relevance in your unique context.

• Mid-level digital tasks: Combining advanced analytical skills with deep integration into workflows will lead to truly groundbreaking results. Your AI assistant won’t just analyze data but will also prioritize and execute tasks based on relevance, urgency, or ROI. (This time, your massage appointment gets rescheduled to accommodate that critical meeting.)

• Low-level physical tasks: Beyond assembly lines, robots will handle physical tasks requiring some degree of freedom and adaptability, like unloading items from a car onto a conveyor belt. These robots will need environmental awareness, error handling, and the ability to communicate with humans and each other.

• High-level digital tasks: AI will rival humans in areas requiring deep expertise, like medical decision-making, observing surgeries, proposing business strategies, or drafting legal documents while balancing stakeholder needs. However, humans will likely share accountability for these decisions(—or will they?…)

• Mid-level physical tasks: Robots will start taking on more complex tasks like daily chores, cooking, or assisting the elderly. These helpers could combine physical dexterity with expert-level knowledge—imagine discussing your financial plans while your dinner is cooked to perfection.

• High-level physical tasks: At this stage, robots could independently perform complex procedures like heart surgery. The challenge won’t be technological feasibility but societal decisions: What do we want non-human workers to do? Will all robots be equipped with advanced AI, or will we intentionally limit some capabilities?

What does this mean for healthcare? Healthcare will likely adopt these advancements more slowly, but the transformation is inevitable. Costs are rising, there’s a shortage of workers (especially in caregiving), and frontline professionals often feel burdened by bureaucracy rather than patient care.

Status

This venture is pilot stage. The main idea is around a business models in the “mid-level-digital-task” range as defined above and we have onboarded the first customers.