REPORTS · ITACA AI IN MEDICAL PRACTICE

Reports on AI in medical practice

Analysis for doctors, clinics, and healthcare teams who want to understand where artificial intelligence adds value, what changes occur when it is incorporated into everyday work, and how to evaluate its use with objectivity.

Each report combines public and scientific sources with the experience of building Itaca in Latin America. When we use aggregated product signals, we explain their scope, methodology, and limitations.

Professionals review clinical information and the workflow of a clinic

ANNUAL FILE

Reports 2026

Publications with a date, sources, and scope are visible. The annual editions retain their own URL so that they can be consulted and compared over time.

HIGHLIGHTED REPORT · SEPTEMBER 2026

Clinical AI enters the workflow: what is changing in medical practice

The usefulness of clinical AI does not depend on adding more functions, but on connecting them with specific tasks: gathering context, preparing documentation, consulting sources, and finishing the care with less work left undone.

Complete clinical flow
Before, during and after the consultation.

Documentation
The first pillar, not the only function.

Adoption in clinics
Processes, supervision and shared work.

Analytical Lines

Questions that matter in practice

The goal is not to comment on every new AI development. It is to study changes that affect the work of healthcare professionals and organizations in Latin America.


Medical practice and documentation

How work changes before, during, and after the consultation; what tasks can AI reduce; and when a draft, a document, or the longitudinal context are truly useful.


Clinics, teams, and adoption

What changes operationally when a clinic incorporates AI, how review is distributed, and why adoption depends more on the shared flow than on the number of available functions.


Evidence and responsible use

What the available evidence can support, how to verify sources, and what conditions of supervision, transparency, and measurement allow for more confident assessment of a tool.


VISIBLE METHODOLOGY

How we prepare the reports

Each publication starts with a specific question. We review official sources and scientific literature, contrast their conclusions with the experience accumulated in designing Itaca for doctors and clinics, and declare the extent of any internal signals we use.

Product data is only published in aggregate form, with a stable definition, and after excluding internal or test activity. We do not present Itaca the experience of a representative sample of all professionals in Latin America.

When a study comes from another country or context, we indicate that. When a conclusion is an interpretation of Itaca, we also indicate that.

From analysis to clinical work

Explore how these themes translate into concrete flows: Clinical documentation with AI, clinical answers with sources, Shared work for clinics e AI for Doctors.