Team
Assistant
Attendi's Assistant listens to consultations between doctors and patients. The assistant extracts medically relevant information and immediately converts this information into well-structured documentation. With the support of the Attendi Assistant, doctors have more time to build a relationship with patients.
From conversation to text
Attendi’s speech technology accurately and instantly converts spoken words into written text. Because the speech and language models are specifically trained on Dutch healthcare data, the technology has a high accuracy for applications in healthcare. The technology has been developed in-house so that high quality, flexibility, and safety can be fully guaranteed. With Attendi, health care institutions, professionals and patients retain full control over the data.
Healthcare specific models
Transcribe in real time
Flexible implementation
From text to structured conversation report
Attendi directly provides structure to the transcript by applying various techniques. Automatic speaker recognition identifies who said what at what time, even when there is just one microphone available. In addition, punctuation marks such as periods, commas and question marks are automatically added to the transcript. In this way a readable and useful source of information is generated. The structured transcript can be shared to a location of choice.
Speaker recognition
Auto-punctuation
Shareable format
From text to medical data
By applying various Natural Language Processing techniques designed specifically for health care, our service is able to extract medical data from medical text. For example, it recognises medical conditions, medications, dosages, treatments, and procedures. By linking the extracted entities and their relationships to existing medical ontologies, a rich source of useful medical data arises.
Medical entity recognition
Topic segmentation
Entity relation recognition
Sentiment analysis
Negations
And more...
From consult to report
In close collaboration with healthcare professionals and patients, we define the desired report for each consult. Our software automatically generates notes for the electronic patient record based on the conversation. Instead of writing the notes after a conversation, the healthcare professional approves the suggested notes. After approval, the notes are automatically processed to the right location in the patient record.
Integrate Attendi in your existing systems
At Attendi we believe in a safe and open system approach, where the capabilities of Attendi can be accessed by applications through an API call. This enables health care software vendors to incorporate Attendi in their products and into the existing workflows of their users.
Collaborate with Attendi
At Attendi we believe that innovation in healthcare happens when a multidisciplinary team works on urgent matters. We therefore want to test the various applications of our technology in close collaboration with professionals, patients, academics and developers to see how the technology fits existing processes while solving critical problems. Are you or is your health care organization suffering processes that are dominated by inefficient clinical reporting or administrative processes, or is the quality of information necessary for providing great care too low? Feel free to reach out to us and we can discuss the opportunities of using Attendi.
Structuring conversations through automated speaker diarization models (part 2)
12.05.2021.
At Attendi, speech processing lies at the core of our digital scribe product. Apart from understanding what is being said, we also need to know ‘who spoke when’.
Attendi is genomineerd voor de regionale zorginnovatieprijs 2021!
15.01.2021.
Op 11 maart vindt de nationale finale plaats van de landelijke zorginnovatieprijs.
Product update 1 - Sprekersherkenning, onderwerp segmentatie & ontkenningen en relaties
04.12.2020.
Automated Speech Recognition en Natural Language Processing bieden voor de gezondheidszorgzorg de mogelijkheid om een gesprek tussen patiënt en zorgprofessional te gebruiken als bron van informatie voor registraties in het patiëntendossier.