Primo RPA AI Server

The main articles are:

• RPA (Robotic process automation)
• Speech Recognition (Technology, Market)
• Speech technology: On the path from recognition to understanding

AI Server is an intelligent environment for learning, using, and integrating, algorithms AI including large language models (LLMs), into processes robotizations or autonomously.

2024: Ability to process natural language with built-in large language models

Primo RPA released an updated AI Server product on December 25, 2024. Now, digital assistants can process natural language with embedded large language models, extract key information from large reports, and classify and process scans of any documents. Smart automation will help healthcare facilities reduce processing time and reduce the likelihood of document errors.

The AI Text tool in AI Server expands the possibilities for automating work with text data:

Data extraction: Automatically search for and isolate key information from large volumes of texts (e.g., patient information, procedure dates, or test results).

Text classification: sorting medical records, referrals or reports by topic and priority.

Summation: creation of brief summaries from voluminous reports, for example, on epidemiological monitoring or the state of patients.

Generation of text: automatic creation of standard documents, such as extracts, referrals or medical reports.

All processes are carried out in a closed loop, which guarantees the security and confidentiality of data.

The Primo RPA AI Server update also provides options for working with scan texts in the Smart OCR component. Now smart software robots recognize text from free-form documents, including contracts and acts, and process scans faster. Before running workflows in a real environment, you can check the quality of text recognition and classification, which reduces errors.

Healthcare facilities can entrust a number of complex and routine functions to software robots in document management, procurement management, patient registration, human resources management, and report processing. This reduces the impact of the human factor, saves resources and allows you to focus on providing quality medical care.