ProntuAllm

AI agents with patient context

Name: ProntuAllm
Brand: Allm

ProntuAllm brings medical records, scheduling, test results and patient service into a single base, so each agent answers with the full history of the person being cared for.

Schedule a demo

Doctor explains imaging results to a colleague, tablet in hand and the scans on screen

Institutions already working with Allm

Hospital Vale Verde
Clínica Horizonte
Instituto Serra Azul
Rede Bem Cuidar
Hospital São Lucas do Planalto
Laboratório Pinheiral
Policlínica Rio Claro
Centro Médico Aurora

Patient journey

Care does not happen in a single system

Scattered information

Scheduling, medical records, reports and messages live in different tools. Each team sees part of the story and the patient repeats the same information several times.

Hand holding a phone with messaging apps on screen

Hospital reception desk with blue tiled walls

One continuous context

With ProntuAllm, every interaction starts from the same history. Reception, the clinical staff and remote service work on the same data, at the moment they need it.

Nurse takes a patient's blood pressure during a visit

A caregiver's hands holding a patient's hand

Platform

A single base for every agent

ProntuAllm connects to the systems the institution already uses and organizes the data into a searchable patient context, with access control and an audit trail.

Integration

Connectors for electronic medical records, scheduling, laboratory and service channels, using standards such as HL7 FHIR and without replacing current systems.

Context

Data is normalized and linked to the right patient. Each agent queries only what its role allows and records what was used in each response.

The institution's data sources feed the patient context, which is queried by the three ProntuAllm agents.

- Electronic medical record
- Schedule
- Tests and reports
- Service channels
- Administrative systems
Patient context
- Call center
- Clinical copilot
- Patient concierge

Ecosystem

Everyone in the journey, served with the same context

Man with glasses on a phone call in front of his computer

Patient
I need to reschedule my follow-up and I don't know if my test result is ready yet.

The agent: Checks the schedule and the test status, offers new time slots and notifies the patient when the report is available.
The outcome: Follow-up rescheduled in a single conversation, with no transfer between departments.

Two doctors review imaging scans on monitors in the office

Doctor
I have only a few minutes before the appointment to understand this patient's history.

The agent: Summarizes previous appointments, current medications and recent tests, with a reference to each source document.
The outcome: More appointment time devoted to the patient and less to searching for information.

Two managers talk in front of a monitor in an office

Service manager
Call volume keeps growing and so does the waiting queue.

The agent: Handles recurring requests, such as confirmations, duplicate copies of documents and test preparation, and routes complex cases with the context already recorded.
The outcome: Staff focused on the cases that require human judgment.

Solutions

Three agents, one context

Available 24 hours
Answers whenever the patient reaches out, including nights and weekends.
A real conversation
Understands and replies by text, audio and voice, in natural language.
Better cost-benefit
Scales service capacity without growing headcount at the same rate.

Woman smiles on a phone call with a laptop on her lap

Team gathered around a table looking at a tablet

Demo

See ProntuAllm with your institution's workflows

In a 30-minute conversation, we show the agents operating on scenarios similar to yours and discuss integration, security and deployment.

Schedule a demo

Healthcare technology only fulfills its purpose when it gives time back to care. That is the criterion we use for every product decision.

Dr. Beatriz AndradeChair of the advisory board

Advisory board

Who guides the development of ProntuAllm

Chair of the advisory board
Dr. Beatriz Andrade
Physician with twenty years of experience in hospital management. Coordinated electronic medical record projects in private and public networks.
Patient safety advisor
Dr. Carlos Menezes
Specialist in care quality and accreditation. Guides the clinical validation protocols for the agents.
Privacy and data advisor
Fernanda Lopes
Lawyer dedicated to healthcare data protection. Monitors the product's compliance with the LGPD.
Health informatics advisor
Dr. Henrique Tavares
Researcher in interoperability and HL7 FHIR standards. Contributes to the platform's integration architecture.
Patient experience advisor
Juliana Rocha
Nurse with a background in patient service and the patient journey. Reviews the language and tone of the agents' interactions.
Operations advisor
Marcos Vieira
Executive with experience in the contact centers of large health plan providers. Guides metrics and deployment processes.

Chair of the advisory board
Dr. Beatriz Andrade
Physician with twenty years of experience in hospital management. Coordinated electronic medical record projects in private and public networks.
Patient safety advisor
Dr. Carlos Menezes
Specialist in care quality and accreditation. Guides the clinical validation protocols for the agents.
Privacy and data advisor
Fernanda Lopes
Lawyer dedicated to healthcare data protection. Monitors the product's compliance with the LGPD.
Health informatics advisor
Dr. Henrique Tavares
Researcher in interoperability and HL7 FHIR standards. Contributes to the platform's integration architecture.
Patient experience advisor
Juliana Rocha
Nurse with a background in patient service and the patient journey. Reviews the language and tone of the agents' interactions.
Operations advisor
Marcos Vieira
Executive with experience in the contact centers of large health plan providers. Guides metrics and deployment processes.

Chair of the advisory board
Dr. Beatriz Andrade
Physician with twenty years of experience in hospital management. Coordinated electronic medical record projects in private and public networks.
Patient safety advisor
Dr. Carlos Menezes
Specialist in care quality and accreditation. Guides the clinical validation protocols for the agents.
Privacy and data advisor
Fernanda Lopes
Lawyer dedicated to healthcare data protection. Monitors the product's compliance with the LGPD.
Health informatics advisor
Dr. Henrique Tavares
Researcher in interoperability and HL7 FHIR standards. Contributes to the platform's integration architecture.
Patient experience advisor
Juliana Rocha
Nurse with a background in patient service and the patient journey. Reviews the language and tone of the agents' interactions.
Operations advisor
Marcos Vieira
Executive with experience in the contact centers of large health plan providers. Guides metrics and deployment processes.

Put the patient context at the center of care

Talk to our team and learn how ProntuAllm integrates with the systems you already use.

Schedule a demo

Frequently asked questions

Does ProntuAllm replace the institution's electronic medical record?

No. ProntuAllm connects to the medical record and other existing systems and organizes that data for the agents to use. The official record remains in the source system.

Which systems can it integrate with?

Electronic medical records, schedules, laboratory and imaging systems, and channels such as telephone and messaging. We use standards such as HL7 FHIR and, when necessary, specific connectors.

How is patient data protected?

Data is encrypted in transit and at rest, access follows each user's role, and every query made by an agent is recorded in an audit trail.

Is ProntuAllm compliant with the LGPD?

Yes. Data processing follows the LGPD, with legal bases defined together with the institution, a designated data protection officer and data processing agreements.

Do the agents make clinical decisions?

No. The agents organize information and perform operational tasks. Diagnoses, clinical decisions and prescriptions are always the responsibility of the healthcare professional.

What happens when the agent cannot answer?

The conversation is forwarded to a team member with a summary of what has already been discussed, so the patient does not have to repeat the information.

How long does deployment take?

It depends on the integrations required. A first agent usually enters assisted operation within a few weeks, with gradual expansion based on the results.

Is it possible to start with just one solution?

Yes. Most institutions start with the call center or the clinical copilot and expand later, reusing the same patient context.

Everyone in the journey, served with the same context

Patient
I need to reschedule my follow-up and I don't know if my test result is ready yet.

The agent: Checks the schedule and the test status, offers new time slots and notifies the patient when the report is available.
The outcome: Follow-up rescheduled in a single conversation, with no transfer between departments.

Doctor
I have only a few minutes before the appointment to understand this patient's history.

The agent: Summarizes previous appointments, current medications and recent tests, with a reference to each source document.
The outcome: More appointment time devoted to the patient and less to searching for information.

Service manager
Call volume keeps growing and so does the waiting queue.

The agent: Handles recurring requests, such as confirmations, duplicate copies of documents and test preparation, and routes complex cases with the context already recorded.
The outcome: Staff focused on the cases that require human judgment.

Three agents, one context

Available 24 hours
Answers whenever the patient reaches out, including nights and weekends.
A real conversation
Understands and replies by text, audio and voice, in natural language.
Better cost-benefit
Scales service capacity without growing headcount at the same rate.

AI agents with patient context

Institutions already working with Allm