Real power of AI in Pharma

[00:00 – 03:30] | From tech to pharma: a new lensfor health innovation

Antonioshares how his background in consumer goods and technology gave him a distinctadvantage in the pharma world. His experience brought agility, digital mindset,and customer-centric thinking into a more traditional space.

[03:30 – 07:00] | Health inequity as a driver forinnovation

Hehighlights how in Colombia, 23% of the population is attended by just 7% of thedoctors — a striking imbalance that calls for creative, tech-driven solutions.

[07:00 – 10:30] | Wearables, real-time data &predictive opportunities

There areover 12 million wearable devices in Colombia gathering health data. Antonioexplains how this real-time information could be the foundation for large-scalescreening through AI.

[10:30 – 15:00] | The story of “Juan”: rethinkingthe patient journey with AI

Heintroduces a fictional scenario of a patient named Juan, whose wearable devicedetects a health anomaly. With AI integrated into call centers and clinicalworkflows, Juan could be flagged for further tests that reveal chronic kidneydisease — a diagnosis he would’ve otherwise missed.

[15:00 – 19:00] | Smarter triage and “invisible”high-risk patients

AI couldhelp call centers or triage systems identify high-risk patients who have goneunnoticed based on historical data, even if they’re calling for unrelatedissues.

[19:00 – 23:00] | Closing the loop: proactivefollow-up with AI

Antoniodescribes how AI could monitor unfinished medical pathways — like a patient whonever returned for follow-up labs — and automatically trigger reminders oralerts.

[23:00 – 27:30] | Bringing specialists to theunreachable

In ruralor underserved regions with no access to nephrologists, oncologists, orpulmonologists, AI could support general practitioners as a clinical assistantor triage support.

[27:30 – 32:00] | The paradox: patients prefer AIover humans (sometimes)

Citingblind studies, Antonio reveals that in first-contact remote consultations, somepatients prefer interacting with AI because it’s available longer, listensmore, and doesn’t rush.

[32:00 – 38:00] | The second-opinion model fordoctors

AI canact as a second opinion or virtual member of a clinical board, especially forphysicians working in remote settings, helping them catch risks they may notconsider due to lack of specialization.

[38:00 – 43:30] | The real barrier: trust, not tech

Adoptionof AI depends on professional trust. Antonio emphasizes the importance of AIliteracy among doctors — understanding how these tools work and when to rely onthem.

[43:30 – 47:00] | The art of prompting: a new skillfor a new era

Knowinghow to ask AI the right questions is now a critical skill. Effective promptsdetermine the quality and reliability of generative responses.

[47:00 – 51:00] | Explaining the “why”:interpretability in predictive models

Antoniostresses the need for AI to provide understandable reasoning when deliveringpredictions — not just outputs, but the rationale behind them.

[51:00 – 55:00] | Searching for the unseen: rarediseases, missed diagnoses

AI canre-analyze diagnostic images and datasets for patterns that humans aren’tactively looking for, including rare or hidden conditions.

[55:00 – 1:00:00] | The rise of the AI patient

Today, 2out of 5 people consult AI about their health before contacting a doctor. Thisshifts the dynamic toward direct-to-patient AI tools with reliable information.

[1:00:00 – 1:06:00] | AI and mental health: digitalcompanions in a lonely world

During thepandemic, millions interacted daily with AI companions for emotional support.For those with social anxiety or depression, these tools became a consistentform of engagement and connection.

[1:06:00 – End] | Final reflections: time, trust,transformation

Antoniocloses with a powerful insight: the real value of AI is that it gives ussomething we’ve all lost — time. Time for patients, time for doctors, and timefor better decisions.