AIH Generator

Try our Hospital Admission Authorization (AIH) generator! You can create various valid numbers and customize your experience using the automatic rotation to generate new AIHs based on the selected time. Additionally, you can choose whether or not to include the punctuation between the digits.

Also, be sure to check out our AIH validator which ensures the authenticity of the generated numbers. It’s quick and easy!

This tool generates fictitious data intended exclusively for software testing and development purposes. The data does not correspond to real people or entities and must not be used for illegal, fraudulent purposes, or in ways that violate the privacy of others. Compliant with LGPD (Brazilian Data Protection Law).

See also:

CNH Generator
State Registration Validator
AIH Validator
Unit Converter
Accent Remover
UUID Generator
Steuer-ID (Germany)
Passport Generator

Understanding AIH and the Generator Algorithm

What is AIH?

The Autorização de Internação Hospitalar (AIH) is the instrument for recording and billing hospitalizations performed by Brazil's Unified Health System (SUS). It is issued by municipal or state health managers and has a 13-digit number that identifies the state of origin, year of competence, type of AIH, and a sequential number. AIH is fundamental for hospital billing with SUS and for bed control.

How does the generation algorithm work?

The AIH number consists of: state code (2 digits), year of competence (2 digits), AIH type (1 digit — 1 for normal, 5 for extended stay), sequential number (7 digits), and check digit (1 digit). The verifier is calculated by multiplying each digit by weights 2, 3, 4, 5, 6, 7, 8, 9, 2, 3, 4, and 5 (left to right), summing the products, and obtaining the remainder of division by 11.

Why use fictional AIHs in development?

SUS hospital billing systems, public health management platforms, hospitalization control systems, and DATASUS integrations need to process and validate AIH numbers. Developing and testing these applications without using real patient or hospitalization data is fundamental to protecting sensitive health information and complying with LGPD and CFM standards.