Case study Healthcare & Life Sciences AI Assistant 2024

Llamalítica — an AI assistant that gives clinicians their time back.

Multilingual transcription, structured reporting and ICD-10 / LOINC coding woven into electronic health records via FHIR — so doctors can spend their hours with patients, not paperwork.

Llamalítica

FHIR · ICD-10 · LOINC

Dr. M. Vázquez · 09:42

Patient, 62, presented with persistent chest pain and shortness of breath. ECG shows ST-segment elevation in leads II, III, aVF…

Llamalítica · structured note

Inferior STEMI — provisional Suggesting urgent cardiology referral. Coding suggestions:

ICD-10 · I21.19 LOINC · 11524-6 SNOMED · 401303003

40% of clinicians' time spent on administrative tasks — given back to patient care.

Practice: Digital Transformation · AI
Industry: Healthcare & Life Sciences
Year: 2024
Status: First prototypes shipped

iThe Challenge

Up to 40% of a clinician's day, not spent with patients.

Clinicians often spend up to 40% of their time on administrative tasks such as note-taking, report structuring, and coding. This reduces time for direct patient care and introduces risks of inconsistent documentation.

The need was clear: a secure, multilingual AI system to automate repetitive tasks, integrate seamlessly with electronic health records, and scale across specialties — without compromising on data privacy or clinical accuracy.

iiThe Solution

An AI assistant designed to listen, structure and code.

LOYALTIO developed the first prototypes of Llamalítica, an AI assistant designed to transform clinical workflows from the inside out — sitting alongside the clinician rather than in their way.

01

Automated transcription & structured reporting

Doctor-patient conversations captured in multiple languages and turned into structured clinical reports — instantly.
02

Clinical coding support

ICD-10 and LOINC suggestions improve standardization, billing accuracy and regulatory compliance.
03

Flexible EHR integration via FHIR

Plus ingestion of diverse medical documents — audio, PDFs, images and tabular data — all into one workflow.
04

Cloud or on-premises deployment

Adapts to local data privacy regulations, hospital IT preferences and the realities of clinical infrastructure.
05

AI agents & advanced editors

Refine accuracy iteratively and reduce manual corrections, with humans firmly in the loop.

Real-time codification: clinical note transcribed and CIE-10 codes inferred

Edit a diagnosis: laterality, role, justification fields

iii — First measured impact

Less time on documentation. More time on patient care.

30–50%

reduction in time spent on administrative documentation

↑

improved accuracy and consistency of clinical notes and coding

∞

enhanced interoperability across hospital systems via FHIR

greater patient focus, with time returned to direct care delivery

ivThe Outcome

Documentation that doesn't get in the way.

The first results showed measurable improvements across the workflow — from time saved on note-taking, to better-coded records, to data that finally moves cleanly between hospital systems. Clinicians regained meaningful time at the bedside.

Llamalítica continues to scale across specialties, with new modalities (imaging, lab data, longitudinal records) progressively folded into the same assistant.

Want to know more? Visit Llamalítica's website →