Clinical decision support
- Differential diagnosis: based on the patient’s complaints, and the answers of the patient to the questions asked by the Bingli AI algorithm, a differential diagnosis with probabilities is shown.
- This differential diagnosis helps healthcare professionals to make informed decisions based on level of urgency, disease information and recommendations for further testing and treatment.
- Risk stratification: based on the patient’s answers, Bingli can assess a specific risk profile and offer guidelines for tests, treatment and/or referral to the correct caregiver.
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Bingli helps doctors with clinical decision-making
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Highly accurate
Bingli proposes a highly accurate differential diagnosis to the doctor to support clinical decision-making (*96% diagnostic accuracy in specialty care, 90% in primary care, 145 vignettes based on NHG standards)![ICONS_PPT-29-1-1-2-1 ICONS_PPT-29-1-1-2-1](https://www.bingli.us/hubfs/ICONS_PPT-29-1-1-2-1.png)
Decision support
The differential diagnosis can activate clinical, organizational, or administrative actions, such as care navigation, triage (lower oversumption), care pathways, screening ….
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Bingli is an easy-to-use solution
No difficult installation or download, just plug & play.
Allow machine learning
- A differential diagnosis is presented to the doctor to support them in their decision- making (e.g. red flags). Doctors give feedback on the differential diagnosis. This feedback is used to improve our algorithms via machine learning.
- More specifically, the doctor’s feedback can be used to, based on real-world evidence, improve several parameters used in the AI algorithm, such as waiting room incidence of diseases (in GP or specialist setting), the likelihood ratio’s of the different arguments of a disease.
- This feedback loop with real-world evidence will allow Bingli to continuously improve accuracy of its algorithms, something that is impossible in systems without feedback loop (rule-based algorithms, symptom checkers,…)
Frequently asked questions
A clinical diagnosis is any diagnosis based solely on the anamnesis and clinical examination (e.g. regular cold, flu). A medical diagnosis is a diagnosis confirmed by technical investigations (e.g. lab results confirming diabetes).
If one of the proposed differential diagnoses is flagged as a potentially urgent diagnosis, it is flagged with a colored flag. Red flag: urgent care (within 48 hours). Orange flag: semi-urgent care (72 hours - 1 week) Yellow flag: elective care. The flags are linked to the respective diagnoses and not to specific symptoms present in the anamnesis.