Red Robin is an automated triage and medical history tool, designed for use in digi-physical healthcare flows. With the help of AI, Red Robin guides the patient to the right place in the healthcare pathway and supports clinicians in the first line of care with medical assessments, thus supporting a more efficient and focused consultation.
Red Robin takes into account that a symptom can be caused by several different diagnoses and customises the follow-up questions and steps. This makes Red Robin well-adapted to the complexity of diagnostics in healthcare. A probability-based (Bayesian) network – an AI model based on a combination of data and expert knowledge equips Red Robin to manage a multitude of relationships between symptoms, diagnoses, and risk factors and enables continuous learning within the programme over time.
Why Red Robin?
Effective
Red Robin can manage several symptoms in parallel and adapt the follow-up questions to previous responses, streamlining the process and saving time.
Future-proof
Self-learning and prepared to add and manage several data sources, such as apps or EMRs.
Precise
Accounts for all information entered by the patient and the correlations between symptoms and conditions, for a more reliable diagnosis and triage.
How it works
The patient contacts the healthcare provider via an app or a computer and is initially met by Red Robin, who asks questions about the patient’s medical history and current medical concern in a chat-based interface. The follow- up questions are based on the patient’s previous responses and take into account symptoms (one or several), medical history, and risk factors. Based on the dialogue, Red Robin calculates the probability of various diagnoses and, depending on the healthcare provider’s configuration of the tool, refer the patient to the right level of care, speciality, and communication channel.
The summary compiled by Red Robin is sent to the healthcare professional, who can then be prepared for the appointment.
According to the diagnosis and severity –among other things– healthcare providers can configure which cases will be guided to a particular resource and how, and where the appointment will take place, e.g. via video consultation, or at a physical location.
Red Robin can be integrated as part of the patient flow in the Visiba Care platform but also as a standalone part in other solutions. At the moment, Red Robin is suited for the first line of healthcare. In the future, the tool will be developed to manage other healthcare areas, such as specialist care, comorbidity, and chronic illnesses. In the longer term, when a larger data set is collected and the diagnoses have been adequately validated, Red Robin will be able to refer patients to self-care.
An example
Patient contact supported by Red Robin
This is how Red Robin looks like for a patient who turns to primary care for a skin disorder.
Step 1
Starting the case
A patient starts the case in the patient portal.
Step 2
Registering the patient
The user indicates whether they are seeking care for themselves or as a representative for someone else, eg. their child.
Step 3
Information about the next step
Red Robin displays information about the upcoming process and the following steps.
Step 4
Enter the details
The patient fills in their age and gender.
Step 5
Answer questions
The patient enters the symptoms and answers the follow-up questions, which are based on previous responses.
Step 6
Add photos
The patient has the option to upload a photo as a complement to the previously reported details.
Step 7
Enter additional information
The patient can also add more information and comments.
Step 8
Evaluation and referral
When all questions have been answered, the patient can rate the chat and be guided to the right level of care.
Step 9
Video consultation with a dermatologist
The patient meets a dermatologist in a video consultation
Quality assurance and validation
How we ensure quality and validation
Red Robin is developed in collaboration with a medical team composed of practising doctors and nurses. The medical content is managed according to a standardised process to ensure quality and evidence-based results.
