User:PaulWicks/sandbox
(Edit: New Section) Product and Services
[edit]Original: As of 2018, the Ada consumer product, the Web application was available in English, German, Spanish, Portuguese, Swahili, Romanian, and French.[1][2] As of September 2020, the Ada app has been downloaded 10 million times and completed 20 million symptom assessments. It is free of charge and has the highest consumer rank among similar apps.[1] Thanks to funding from the Bill & Melinda Gates Foundation and Fondation Botnar, in November 2019, Ada launched its app in both Swahili and Romanian.[3][4]
In 2022 it was integrated into Scout by Sutter Health.[5]
Edit:
Software
[edit]The company offers a suite of modular software as a service solutions to healthcare provider systems in multiple languages:
- Symptom Assessment: User-facing health assessment that asks individuals to enter basic health data (e.g. demographics, smoking history) and the main complaint that is currently troubling them. [6] Bayesian reasoning is combined with a medical knowledge database curated from the scientific literature, clinical case reports, and epidemiological data, to provide the user the most effecient sequence of followup questions that will identify the potential conditions that could be causing the issue.[6] The assessment is available to patients via their health system's website, app or patient portal, such as Epic MyChart (REFERENCE)
- Care Navigation: Following on from the symptom assessment, where healthcare enterprise clients have partnered with Ada, the Connect tool helps users navigate to the appropriate level of care and setting e.g. self-care, primary care, secondary care, telehealth.
- Clinical handover: As a further degree of integration, the clinical assessment information in the Assessment and care navigation tool can be provided to clinicians via a patient's electronic health record such as Epic Systems' Hyperspace.
- Data Insights: Reports and dashboards are generated for healthcare enterprise clients to help understand the flow of users through their system to better make strategic decisions, improve services, and identify gaps in care.
One example of the software deployed in practice is within the Sutter Health integrated care system in Northern California.[7] Data from over 26,000 symptom assessments in the first 10 months found most users were female (67%) adults (mean of 34 years, most users between 20 - 48 years old). The most commonly presenting initial symptoms were abdominal pain (8%), cough (6%), headache (4%), and sore throat (3%), and just under half of assessments (46%) were completed outside typical physician office hours.[8]
(Edit: New Section) Health Initiatives
[edit]In addition to the company's core business, Ada Health houses a "global health initiative" (GHI) which partners with non-governmental organizations, governments, and global health organizations such as the Bill & Melinda Gates Foundation and Fondation Botnar to widen access to digital health services in low and middle income countries such as Romania, Tanzania.[1] and South Africa [REFERENCE HERE TO https://ada.com/press/230905-ada-supporting-mothers-in-southafrica/ In addition, a "rare disease initiative" (RDI) focusses on modeling rare diseases in their software's medical knowledge database to try and shorten the delay in diagnosis that patients often face.[9][10][11] To date the RDI has included modeling diseases including axial spondyloarthritis, familial Mediterranean fever, lysosomal storage diseases, porphyria, and psoriatic arthritis. [12][2]
Research and publications
[edit]Independent scientific reviews of the Ada symptom checker's usability, coverage of medical conditions, accuracy in suggesting a reasonable diagnosis, and safety in making recommendations have been conducted by a number of academic researchers.[3] These studies have found Ada to be useful in aiding diagnosis in settings including primary care[13], emergency care[14], rheumatology clinics[15], dermatology[16], and psychiatry[17][18]. A 2019 retrospective study evaluated Ada DX in rare disease diagnosis. Ada's top suggestion matched the confirmed diagnosis in 89% of cases (83 of 93 cases). In more than 56% of cases, Ada provided correct disease suggestions earlier than the time of clinical diagnosis. More than 33% of patients could have been identified as having a rare disease in the first documented clinical visit.[19] Relative to other symptom checkers Ada often has the highest degree of accuracy and safety, but as a tradeoff asks more questions than some other tools and may sometimes be more conservative in triaging patients to seek professional help over self-care.
Research by Sutter Health, with Stanford University, independently analyzed 26,646 Ada assessments, finding that Ada's triage recommendations were comparable to those of nurse-staffed telephone triage lines. [REFERENCE]
(Edit: New Section) Investors, funding and revenue
[edit]As of 2023, Ada Health has raised $189.5 million US dollars in funding from venture capital funds including Vitruvian Partners, Bertelsmann, Schroders, Farallon Capital, Red River West, as well as corporate development funds including Leaps by Bayer and Samsung Catalyst Fund[20][21] and debt financing provider IPF Partners.[22]
Ada's consumer app is non-revenue generating and does not sell data or advertise to generate income [REFERENCE FAQ]. Ada generates revenue through enterprise partnerships with healthcare systems, providers, payers/insurers, life science organizations by licensing technology for their users or on their channels. Ada has also received grants from philanthropic foundations and government funds such as the EU fund TBC [FIND REFERENCE]
Awards and recognition
[edit]Media coverage
[edit]Original: Ada has been compared to WebMD, Babylon's GP at Hand app, and Your.MD. In October 2017, when three apps were tested with symptoms from asthma, shingles, alcohol-related liver disease, and urinary tract infection, Ada performed very well; it asked about the most important symptoms and provided the best diagnoses. It produced diagrams showing which of the symptoms for each disease were present and the strength of the link, and a diagram of the percentage of people likely to have that diagnosis.[23]
Original: In September 2020, Broadband Commission for Sustainable Development issued a report identifying Ada as of the AI solutions that have the "potential to address existing health inequalities and provide medical expertise to clinicians, health workers, and patients alike - all with the aim of improving the quality, access, and cost of healthcare delivery."[24]
Ada & Rare diseases
[edit]Original: A 2019 retrospective study evaluated Ada DX in rare disease diagnosis. Ada's top suggestion matched the confirmed diagnosis in 89% of cases (83 of 93 cases). In more than 56% of cases, Ada provided correct disease suggestions earlier than the time of clinical diagnosis. More than 33% of patients could have been identified as having a rare disease in the first documented clinical visit.[19]
Reception
[edit]Original: In 2020, the World Economic Forum awarded Ada and other 99 candidates as its "Technology Pioneers."[25] Since its global launch in 2016, Ada has won several awards, such as App Promotion Summit's Fastest Growing App, Proddys Award for best Health and Fitness Product, CogX: Good Health and Well-being Award, German Brand Award, German Innovation Award, and German WELT AI User Award.[26] ADD REFERENE https://www.axelspringer.com/en/ax-press-release/welt-awards-ai-prize-2022-for-special-achievements-and-innovations-in-the-field-of-artificial-intelligence
References
[edit]- ^ a b "Meet Ada, the multilingual 'doctor' in your pocket created by former Houston student". houstonchronicle. 14 September 2018.
- ^ "Ada health app launches in Spanish and Portuguese -". Pharmaphorum. 24 August 2018.
- ^ "World's first AI health guidance app in Swahili". /ada.com.
- ^ "Tanzania's digital doctor learns to speak Swahili". FT. 16 May 2020.
- ^ "Ada integrates mental health services into digital health platform". beckershospitalreview.com/. Beckers Hospital Review. 31 October 2022. Retrieved 7 November 2022.
- ^ a b Miller, Stephen; Gilbert, Stephen; Virani, Vishaal; Wicks, Paul (2020-07-10). "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 human factors. 7 (3): e19713. doi:10.2196/19713. ISSN 2292-9495. PMC 7382011. PMID 32540836.
{{cite journal}}
: CS1 maint: unflagged free DOI (link) - ^ "How Ada Health worked with Sutter Health to help direct patients to appropriate care". MobiHealthNews. 2019-10-23. Retrieved 2023-08-10.
- ^ Morse, Keith E.; Ostberg, Nicolai P.; Jones, Veena G.; Chan, Albert S. (2020-11-30). "Use Characteristics and Triage Acuity of a Digital Symptom Checker in a Large Integrated Health System: Population-Based Descriptive Study". Journal of Medical Internet Research. 22 (11): e20549. doi:10.2196/20549.
{{cite journal}}
: CS1 maint: unflagged free DOI (link) - ^ Hirsch, Martin Christian; Ronicke, Simon; Krusche, Martin; Wagner, Annette Doris (2020-06-01). "Rare diseases 2030: how augmented AI will support diagnosis and treatment of rare diseases in the future". Annals of the Rheumatic Diseases. 79 (6): 740–743. doi:10.1136/annrheumdis-2020-217125. ISSN 0003-4967. PMID 32209541.
- ^ Ronicke, Simon; Hirsch, Martin C.; Türk, Ewelina; Larionov, Katharina; Tientcheu, Daphne; Wagner, Annette D. (2019-03-21). "Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study". Orphanet Journal of Rare Diseases. 14 (1): 69. doi:10.1186/s13023-019-1040-6. ISSN 1750-1172. PMC 6427854. PMID 30898118.
{{cite journal}}
: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link) - ^ "From A to Zebra: Data-driven strategies for training AI to understand rare diseases". MobiHealthNews. 2020-02-28. Retrieved 2023-08-10.
- ^ "Global partnership to help speed up diagnosis for people with immunological diseases and rare conditions". Ada. Retrieved 2023-08-10.
- ^ Ceney, Adam; Tolond, Stephanie; Glowinski, Andrzej; Marks, Ben; Swift, Simon; Palser, Tom (2021-07-15). Wilson, Fernando A. (ed.). "Accuracy of online symptom checkers and the potential impact on service utilisation". PLOS ONE. 16 (7): e0254088. doi:10.1371/journal.pone.0254088. ISSN 1932-6203. PMC 8282353. PMID 34265845.
{{cite journal}}
: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link) - ^ Faqar-Uz-Zaman, Sara F.; Anantharajah, Luxia; Baumartz, Philipp; Sobotta, Paula; Filmann, Natalie; Zmuc, Dora; von Wagner, Michael; Detemble, Charlotte; Sliwinski, Svenja; Marschall, Ursula; Bechstein, Wolf O.; Schnitzbauer, Andreas A. (2022-11). "The Diagnostic Efficacy of an App-based Diagnostic Health Care Application in the Emergency Room: eRadaR-Trial. A prospective, Double-blinded, Observational Study". Annals of Surgery. 276 (5): 935. doi:10.1097/SLA.0000000000005614. ISSN 0003-4932.
{{cite journal}}
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(help) - ^ Gräf, Markus; Knitza, Johannes; Leipe, Jan; Krusche, Martin; Welcker, Martin; Kuhn, Sebastian; Mucke, Johanna; Hueber, Axel J.; Hornig, Johannes; Klemm, Philipp; Kleinert, Stefan; Aries, Peer; Vuillerme, Nicolas; Simon, David; Kleyer, Arnd (2022). "Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy". Rheumatology International. 42 (12): 2167–2176. doi:10.1007/s00296-022-05202-4. ISSN 1437-160X. PMC 9548469. PMID 36087130.
- ^ Berry, Nicholas A.; Harvey, Jamison A.; Pittelkow, Mark R.; Swanson, David L.; Yang, Yul W. (2023). "Online symptom checkers lack diagnostic accuracy for skin rashes". Journal of the American Academy of Dermatology. 88 (2): 487–488. doi:10.1016/j.jaad.2022.06.034. ISSN 0190-9622.
- ^ Hennemann, Severin; Kuhn, Sebastian; Witthöft, Michael; Jungmann, Stefanie M. (2022-01-31). "Diagnostic Performance of an App-Based Symptom Checker in Mental Disorders: Comparative Study in Psychotherapy Outpatients". JMIR mental health. 9 (1): e32832. doi:10.2196/32832. ISSN 2368-7959. PMC 8844983. PMID 35099395.
{{cite journal}}
: CS1 maint: unflagged free DOI (link) - ^ Jungmann, Stefanie Maria; Klan, Timo; Kuhn, Sebastian; Jungmann, Florian (2019-10-29). "Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users". JMIR formative research. 3 (4): e13863. doi:10.2196/13863. ISSN 2561-326X. PMC 6914276. PMID 31663858.
{{cite journal}}
: CS1 maint: unflagged free DOI (link) - ^ a b Ronicke, Simon; Hirsch, Martin C.; Türk, Ewelina; Larionov, Katharina; Tientcheu, Daphne; Wagner, Annette D. (2019). "Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study". Orphanet Journal of Rare Diseases. 14 (1): 69. doi:10.1186/s13023-019-1040-6. PMC 6427854. PMID 30898118.
{{cite journal}}
: CS1 maint: unflagged free DOI (link) - ^ "Ada Health closes Series B funding round at $120M". MobiHealthNews. 2022-02-11. Retrieved 2023-08-10.
- ^ Lomas, Natasha (2021-05-27). "Ada Health closes $90M Series B led by Leaps by Bayer". TechCrunch. Retrieved 2023-08-10.
- ^ "June 2023 | IPF Partners Announces up to €30m Financing to Ada Health to Advance Global Growth". IPF Partners. 2023-06-27. Retrieved 2023-08-10.
- ^ "Can you really trust the medical apps on your phone?". Wired. 1 October 2017. Retrieved 22 September 2018.
- ^ "Working Group on Digital and AI in Health" (PDF). broadbandcommission.org. September 2020. Retrieved 5 April 2023.
- ^ "Technology Pioneers 2020".
- ^ "About us".