Clinical excellence that withstands scrutiny
All health technology companies advocate their best-in-class solutions.
Objective research, peer reviewed and published by the scientific community, helps people distinguish between claims and clinical evidence to judge for themselves.
Industry benchmarking allows health companies to compete. Scientific scrutiny allows them to lead.
Peer-reviewed studies and publications in collaboration with Ada
- Patients’ utilization and perception of an artificial intelligence based symptom assessment and advice technology in a British primary care waiting room: Exploratory pilot study.JMIR Hum Factors (2020) doi: 10.2196/19713.
Miller, S., et al.Publication typeExploratory pilot studyFindings
- Ada performed well in a study of 523 patients in a primary care setting.
- Ada was rated very or quite easy to use by 97.8% of participants.
- With Ada’s advice, 12.8% of participants would have used lower-intensity care or delayed their appointment.
- Rare diseases 2030: How augmented AI will support diagnosis and treatment of rare diseases in the future.Ann Rheum Dis (2020) doi: 10.1136/annrheumdis-2020-217125.
Hirsch, M. C., et al.Publication typeFuture viewFindings
- Within the next decade, specialists may work closely with tools like Ada to simplify the rare disease care journey.
- Ada could support detection of genetic autoinflammatory disorders such as familial Mediterranean fever.
- Chatbots ask for red flag symptoms to exclude emergencies.
- Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study.Orphanet J Rare Dis (2019) doi: 10.1186/s13023-019-1040-6.
Ronicke, S., et al.Publication typeRetrospective real-patient studyFindings
- Ada’s top suggestion matched the confirmed diagnosis in 89.25% of cases (83 of 93 cases).
- In more than 56% of cases, Ada provided correct disease suggestions earlier than the time of clinical diagnosis.
- With Ada, more than 33% of patients could have been identified as having a rare disease in the first documented clinical visit.
Conference posters and preprints of studies, by or in collaboration with Ada, submitted for peer review
- How accurate are digital symptom assessment apps for suggesting conditions and urgency advice?: A clinical vignettes comparison to GPs.medRxiv (2020) doi: 10.1101/2020.05.07.20093872.
Gilbert, S., et al.Publication typeComparative vignette studyFindings
- Ada outperformed competitors, providing safe advice 97% of the time with 99% condition coverage.
- Ada achieved 70% accuracy for the top 3 suggestion fit. The closest competitor achieved 43% accuracy, and the overall average for competitors was 38%.
- Syndromic surveillance insights from a symptom assessment app before and during COVID-19 measures in Germany and the United Kingdom: Results from repeated cross-sectional analyses.medRxiv (2020) doi: 10.1101/2020.06.16.20126466.
Mehl, A., et al.Publication typeComparative descriptive analysisFindings
- Ada can act as a real-time syndromic surveillance system that generates novel health insights.
- Ada could facilitate understanding of the implications of public health policies like the COVID-19 lockdown measures.
- Ada can help complement and cross-validate hypotheses based on data collected through more traditional channels.
- The potential for digital patient symptom recording through symptom assessment applications to optimize patient flow and reduce waiting times in Urgent Care Centers: A simulation study.medRxiv (2020) doi: 10.1101/2020.06.19.20135590.
Montazeri, M., et al.Publication typeSimulation studyFindings
- Ada could decrease the average patient waiting time to see a triage nurse by 54%.
- Reducing the time to see the triage nurse can positively impact patient and staff anxiety and improve quality of care.
- Just how rare are rare diseases on Ada, a medical symptom checker?Presented at the RE(ACT) Congress / International Rare Diseases Research Consortium (IRDiRC) Conference, Berlin, 2020.
Lemarie, V., et al.Publication typeRetrospective analysisFindings
- Rare diseases were Ada’s top fit suggestion in 4% of 15 million user assessments, in keeping with estimated rates in the general population.
- Rare diseases appeared in Ada’s top 5 suggestions in 17% of assessments.
- Ada could help shorten the diagnostic odyssey of people living with rare diseases.
Peer-reviewed papers and preprints in third-party publications that analyze or discuss Ada
- Position paper of the commission on digital rheumatology of the German Society of Rheumatology: Tasks, targets, and perspectives for a modern rheumatology.Zeitschrift für Rheumatologie (2020) doi: 10.1007/s00393-020-00834-y.
Knitza, J., et al.Publication typePosition paperFindings
- Ada was validated as a multidisciplinary symptom assessment tool that creates lists of condition suggestions.
- Ada provided advice on the degree of urgency and the appropriate care destination.
- Accuracy of online symptom checkers and the potential impact on service utilisation.medRxiv (2020) doi: 10.1101/2020.07.07.20147975.
Ceney, A., et al.Publication typeComparative vignette studyFindings
- Ada achieved 73% accuracy compared to an all app average of 38%.
- Ada’s top 5 suggestion accuracy was 84% compared to a 51% all app average.
- Ada had 97% disposition safety compared to an all-app average of 83%.
- Ethical and legal challenges of artificial intelligence-driven healthcare.Artificial Intelligence in Healthcare (2020) doi: 10.1016/B978-0-12-818438-7.00012-5.
Gerke, S., Minssen, T., & Cohen, G.Publication typeBook chapterFindings
- Ada is an important example of an AI health application developed in the European regulatory setting.
- Ada was identified as a CE-marked (class I under the Medical Device Directive) medical device that complies with the EU General Data Protection Regulation 2016/679 (GDPR).
- Can mobile health apps replace GPs? A scoping review of comparisons between mobile apps and GP tasks.BMC Med Inform Decis Mak (2020) doi: 10.1186/s12911-019-1016-4.
Wattanapisit, A., et al.Publication typeScoping reviewFindings
- Ada can provide primary care information and health-related suggestions to users.
- Ada can produce a list of provisional and differential diagnoses based on the information collected by AI.
- mHealth-related expertise should be recognised as an essential competency for GPs.
- Accuracy of a chatbot (Ada) in the diagnosis of mental disorders: Comparative case study with lay and expert users.JMIR Form Res (2019) doi: 10.2196/13863.
Jungmann, S. M., et al.Publication typeComparative vignette studyFindings
- Ada could assist diagnosticians as a screening tool to identify mental disorders in adults.
- Ada was tested with 20 case vignettes covering a broad spectrum of mental disorders.
- Ada asked an average of 34 questions and took 7 minutes to complete mental disorder assessments.
- From symptom to diagnosis-symptom checkers re-evaluated : Are symptom checkers finally sufficient and accurate to use? An update from the ENT perspectiveHNO (2019) doi: 10.1007/s00106-019-0666-y.
Nateqi, J., et al.Publication typeComparative vignette studyFindings
- Ada was the second-best performing app out of 24 tested in the ENT discipline.
- What happened when Pulse tested symptom checker apps.Pulse Today (2019).Publication typeComparative vignette assessmentFindings
- Experienced GPs tested 4 symptom assessment apps against each other: NHS, Babylon, Ada, and Your.MD.
- Ada showed the highest accuracy for disposition advice and condition suggestion.
- Ada is fast, easy to use, and could help identify serious conditions such as heart attack.
- Can you really trust the medical apps on your phone?Wired UK (2017).
Burgess, M.Publication typeComparative vignette assessmentFindings
- Symptom assessment apps’ performance can vary significantly when tested against each other using the same symptoms.
- Three symptom assessment apps were tested against each other: Ada, Babylon, and Your.MD.
- Ada was ‘by far the best’ app tested, asking clear questions about the most important symptoms and providing the best condition suggestions.
Preprints of studies and publications by or in collaboration with Ada
- The quality of condition suggestions and urgency advice provided by the Ada symptom assessment app assessed with independently generated vignettes optimized for Australia.medRxiv (2020) doi: 10.1101/2020.06.16.20132845.
Gilbert, S., et al.Publication typeComparative vignette studyFindings
- Ada’s top condition suggestion was correct in 65% of cases, and the correct condition was in the top 3 in 83%.
- Ada’s urgency advice matched the gold standard in 63% of cases, including 67% of urgent cases and 57% of those less serious.