Publications and research
- How accurate are digital symptom assessment apps for suggesting conditions and urgency advice?: A clinical vignettes comparison to GPs.
BMJ Open 2020
- The utility of symptom checkers relies on safety, coverage, and accuracy.
- Ada’s advice was safe in 97% of cases, with 99% condition coverage and 70% accuracy for top 3 suggestion fit compared to the competitor average of 38%.
- 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
- 97.8% of patients rated Ada very or quite easy to use, and 12.8% would have delayed their appointment or used lower-intensity care.
- 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.
JMIR mHealth uHealth 2020
- A review of data from 950,000 users found that Ada could help uncover the impact of public health policies like COVID-19 lockdown measures.
- 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
- 89.25% of Ada’s top suggestions matched the confirmed diagnosis, and 33.3% of participants could have received their rare disease diagnosis in the first documented clinical visit with Ada.
- Improving emergency department patient-doctor conversation through an artificial intelligence symptom taking tool: an action-oriented design pilot study.
- Ada supported conversation and improved rapport for 90% of patients, 73% of physicians, and 100% of nurses.
- 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.
- Ada could decrease the average triage nurse waiting times by 54%.
- Novel methods in the surveillance of influenza-like illness (ILI): exploration of data from the symptom assessment app Ada, Germany observational case study.
JMIR Preprints 2021
- Ada uncovered similar ILI trends to an official German surveillance system and could help identify health trends in countries without population-based monitoring systems.
- The quality of condition suggestions and urgency advice provided by the Ada symptom assessment app assessed with independently generated vignettes optimized for Australia.
- Ada’s top suggestion was correct in 65% of cases, and the correct condition was in the top 3 suggestions in 83%.
- 63% of Ada’s urgency advice matched the gold standard.
- Just how rare are rare diseases on Ada, a medical symptom checker?
Presented at the RE(ACT) Congress - IRDiRC Conference, Berlin, 2020
- Ada suggested rare diseases in 4% of 15 million assessments, in line with the population rates.
- Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study
J Med Internet Res 2020
- 46.4% of 26,646 Ada symptom assessments were completed outside GP office hours.
- Ada’s recommendations were comparable to triage nurses’.
- Accuracy of online symptom checkers and the potential impact on service utilisation.
- Ada had 73% accuracy compared to a 38% all-app average and 97% disposition safety compared to an 83% all-app average.
- Accuracy of a chatbot (Ada) in the diagnosis of mental disorders: Comparative case study with lay and expert users.
JMIR Form Res 2019
- Ada could help identify mental health disorders in adults.
- From symptom to diagnosis-symptom checkers re-evaluated : Are symptom checkers finally sufficient and accurate to use? An update from the ENT perspective.
- Ada was the second-best app out of 24 tested in the ear, nose, and throat discipline.
- What happened when Pulse tested symptom checker apps.
Ada was the most accurate of the 4 apps tested and was fast and easy to use.Pulse Today 2019
- Can you really trust the medical apps on your phone?
Wired UK 2017
- Ada was ‘by far the best’ app out of the 4 tested, asking clear questions and providing the best condition suggestions.
- Rare diseases 2030: How augmented AI will support diagnosis and treatment of rare diseases in the future.
Ann Rheum Dis 2020
- Ada could help detect genetic autoinflammatory disorders, including familial Mediterranean fever.