Talk:Ada Health
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Proposed edits (per WP:PAID) edit
Hi there, I'm Paul and I'm an independent consultant working in digital health. Ada Health is one of my clients and I've been working with the team there on updating this page which is a little out of date. I'm pretty familiar with WP policies but might still make some errors here and there so please feel free to reach out on my talk page. In the spirit of transparency I'd like to propose some edits here and then if other interested editors think they are reasonable then they can incorporate them into the article. I'll monitor the page for 10 days and if there are no objections or nobody else has incorporated the changes, I'll add them myself (the pageviews analysis returns an "unknown" number of watchers which I guess means the number is low). OK let's get into it, here's some suggested changes PaulWicks (talk) 08:49, 5 October 2023 (UTC)
 | |
| Company type | Private |
|---|---|
| Industry | |
| Founded | 2011 |
| Founders |
|
| Headquarters | , Germany |
| Products | mHealth, Clinical decision support system, Artificial intelligence in healthcare |
| Services | Enterprise software, Telemedicine, medical research |
Number of employees | 300 (2023) |
| Website | ada |
Lead Section edit
Original: Ada is a health company based in Berlin that operates Ada, an end-user self-assessment Web application.[1]
Edit: Ada Health is a global health company created by doctors to improve human health by transforming knowledge into better outcomes. The company has headquarters in Berlin, with offices in New York, London, and Toronto.
History edit
Original: Ada started out as a platform as a service for doctors.
Edit: Ada was founded by in 2011 by Dr. Claire Novorol (an NHS clinician), Professor Martin Hirsch (an expert in artificial intelligence) and Daniel Nathrath (an entrepreneur).[2] The company was inspired by Dr Novorol's experience in clinical genetics at Addenbrooke's Hospital, Cambridge, where her searches of the medical literature and scientific databases led her to help make a diagnosis for a baby with a rare genetic condition. [2] Upon realising that doctors could make faster and more accurate decisions if supported by digital tools, she founded a network of medical doctors interested in digtal health called "Doctorpreneurs", and through that work traveled to Berlin where she met her two co-founders. [2] Ada's first product, "Ada DX" was originally a clinical decision support technology that would help doctors to make accurate diagnoses, particularly in rare diseases.[3] The system used a Bayesian probabilistic reasoning system based upon the medical history and differential diagnosis approaches of clinical medicine. A doctor would input signs, symptoms, and findings, and then by presented with a ranked list of probabilities for each suggested condition. A visual display showed the clinician how each data point they had entered would contribute to the relative statistical weighting of the probably conditions suggested. [3]
Original: Assess Symptom Checker
edit
Original: It was adapted in 2016 to focus on the bits patients could understand. The app takes reported symptoms, matches them with symptoms of patients of similar age and gender, and reports the statistical likelihood that the patient has a certain condition.[citation needed]
Edit (Replace with New Section): Medical Focus edit
Edit: In 2016 the business pivoted from supporting doctors directly to supporting patients experiencing a new health problem with a browser-based online tool and smartphone app, commonly referred to as a "symptom checker" called Assess.[4] Users enter their demographics, medical history, and interact with a chatbot that asks them about the symptoms, timecourse, and severity of the problems they are experiencing.[5] The Assess tool covers a broad range of potential patients, including children, pregnant people, those with mental health concerns, and the elderly.[5] The probabilistic reasoning software supporting the software dynamically adjusts the questions asked to the user based on their previous answer, while also trying to ask as few questions as possible to prevent fatigue.[5] This reasoning software is supported by a medical knowledge base built and reviewed by doctors that references the scientific medical literature, textbooks, regional epidemiology, disease models, and case reports including a range of several thousand common and rare diseases.[5] At the end of their assessment the user is presented with a "triage" recommendation that suggests the level of urgency required and directs users to care options ranging from self-care at home to immediately seeking urgent care. [5] In addition the app lists a number of "possible causes" that suggest medical conditions that might be causing the problem.[5] Ada's software is available in Arabic, English (US and UK), Dutch, German, Italian, Spanish, Portuguese, Simplified Chinese, Swahili, Romanian, and French.[6][1]
(Edit: New Section) Regulatory Classification edit
Ada's product available to healthcare enterprise clients, and the Ada consumer app (i.e. downloadable from app stores) are both CE-certified Class IIa medical devices under the European Union's Medical Device Regulation (Regulation (EU) 2017/745, EU-MRR).[2][3] The company operates a quality management system certified under ISO 13485, and in the UK has passed UKCA marking assessment.
See Also edit
provided this section with http.abionic.com/, https://vacuactivus.com/, and other wiki pages. --178.2.188.55 (talk) 10:12, 14 March 2023 (UTC)
Privacy edit
It would be very reasonable to include a section on possible privacy (data) concerns. 213.237.89.202 (talk) 07:24, 17 November 2022 (UTC)
- ^ "Health enterprise AI". Ada.
- ^ a b c Heathman, Amelia (2018-12-12). "The women leading the healthcare revolution through tech". Evening Standard. Retrieved 2023-05-25.
- ^ 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). 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) - ^ Semigran, Hannah L; Linder, Jeffrey A; Gidengil, Courtney; Mehrotra, Ateev (2015-07-08). "Evaluation of symptom checkers for self diagnosis and triage: audit study". BMJ: h3480. doi:10.1136/bmj.h3480. ISSN 1756-1833. PMC 4496786. PMID 26157077.
{{cite journal}}: CS1 maint: PMC format (link) - ^ a b c d e f 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: PMC format (link) CS1 maint: unflagged free DOI (link) - ^ Turner, Ben (2020-05-16). "Tanzania's digital doctor learns to speak Swahili". Financial Times. Retrieved 2023-05-25.