Ada Health

Last updated
Ada Health
Company type Private
Industry
Founded2011;13 years ago (2011)
Founders
  • Claire Novorol
  • Daniel Nathrath
  • Martin Hirsch
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.com

Ada Health was founded in 2011, through the collaboration of Dr. Claire Novorol, Professor Martin Hirsch and Daniel Nathrath. [1]

Contents

Ada Health is a provider of artificial intelligence (AI) and machine learning tools. [2] The company has headquarters in Berlin, with offices in New York, London, and Toronto.

History

Ada was established in 2011 by Dr. Claire Novorol, Professor Martin Hirsch (an expert in artificial intelligence) and Daniel Nathrath (an entrepreneur). [3] [1] Dr. Novorol, a clinician in the UK's National Health Service, found inspiration for the company in clinical genetics, after successfully diagnosing a baby with a rare genetic condition through her searches in medical literature and scientific databses at Addenbrooke's Hospital, Cambridge. [3] Upon realising the potential for digital tools to aid in faster and more accurate decision-making for doctors, she founded a digital health network for medical professionals called "Doctorpreneurs". It was through this network that she met her co-founders in Berlin. [3] Ada's first product, "Ada DX" was originally a clinical decision support technology aimed at assisting doctors in accurately diagnosing rare diseases. [4] The system used a Bayesian probabilistic reasoning system based on the medical history and differential diagnosis approaches used in clinical medicine. A doctor would input the patient's signs, symptoms, and findings, and the system would provide a ranked list of probabilistic conditions. A visual display would also indicate how each data point entered had contributed to the relative statistical weighting of the probably conditions suggested. [4]

Medical Focus

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. [5] 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. [6] The Assess tool covers a broad range of potential patients, including children, pregnant people, those with mental health concerns, and the elderly. [6] 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. [6] 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. [6] 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. [6] In addition the app lists a number of "possible causes" that suggest medical conditions that might be causing the problem. [6] Ada's software is available in Arabic, English (US and UK), Dutch, German, Italian, Spanish, Portuguese, Simplified Chinese, Swahili, Romanian, and French. [7]

Regulatory Classification

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). The company operates a quality management system certified under ISO 13485, and in the UK has passed UKCA marking assessment.

Media coverage

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. [8]

In September 2020, Broadband Commission for Sustainable Development issued a report identifying Ada as one 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." [9]

Rare diseases

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. [10]

Related Research Articles

<span class="mw-page-title-main">Hypochondriasis</span> Medical condition

Hypochondriasis or hypochondria is a condition in which a person is excessively and unduly worried about having a serious illness. Hypochondria is an old concept whose meaning has repeatedly changed over its lifespan. It has been claimed that this debilitating condition results from an inaccurate perception of the condition of body or mind despite the absence of an actual medical diagnosis. An individual with hypochondriasis is known as a hypochondriac. Hypochondriacs become unduly alarmed about any physical or psychological symptoms they detect, no matter how minor the symptom may be, and are convinced that they have, or are about to be diagnosed with, a serious illness.

<span class="mw-page-title-main">Health informatics</span> Computational approaches to health care

Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical information. It can be viewed as branch of engineering and applied science.

An orphan drug is a pharmaceutical agent that is developed to treat certain rare medical conditions. An orphan drug would not be profitable to produce without government assistance, due to the small population of patients affected by the conditions. The conditions that orphan drugs are used to treat are referred to as orphan diseases. The assignment of orphan status to a disease and to drugs developed to treat it is a matter of public policy that depends on the legislation of the country.

In healthcare, a differential diagnosis (DDx) is a method of analysis of a patient's history and physical examination to arrive at the correct diagnosis. It involves distinguishing a particular disease or condition from others that present with similar clinical features. Differential diagnostic procedures are used by clinicians to diagnose the specific disease in a patient, or, at least, to consider any imminently life-threatening conditions. Often, each individual option of a possible disease is called a differential diagnosis.

<span class="mw-page-title-main">Medical device</span> Device to be used for medical purposes

A medical device is any device intended to be used for medical purposes. Significant potential for hazards are inherent when using a device for medical purposes and thus medical devices must be proved safe and effective with reasonable assurance before regulating governments allow marketing of the device in their country. As a general rule, as the associated risk of the device increases the amount of testing required to establish safety and efficacy also increases. Further, as associated risk increases the potential benefit to the patient must also increase.

Cyberchondria, otherwise known as compucondria, is the unfounded escalation of concerns about common symptomology based on review of search results and literature online. Articles in popular media position cyberchondria anywhere from temporary neurotic excess to adjunct hypochondria. Cyberchondria is a growing concern among many healthcare practitioners as patients can now research any and all symptoms of a rare disease, illness or condition, and manifest a state of medical anxiety.

A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients, clinical guidelines, condition-specific order sets, focused patient data reports and summaries, documentation templates, diagnostic support, and contextually relevant reference information, among other tools. CDSSs constitute a major topic in artificial intelligence in medicine.

Self-diagnosis is the process of diagnosing, or identifying, medical conditions in oneself. It may be assisted by medical dictionaries, books, resources on the Internet, past personal experiences, or recognizing symptoms or medical signs of a condition that a family member previously had or currently has.

DXplain is a Clinical decision support system (CDSS) available through the World Wide Web that assists clinicians by generating stratified diagnoses based on user input of patient signs and symptoms, laboratory results, and other clinical findings. Evidential support for each differential diagnosis is presented, along with recommended follow-up that may be conducted by the clinician to arrive at a more definitive diagnosis. The system also serves as a clinician reference with a searchable database of diseases and clinical manifestations.

<span class="mw-page-title-main">Medical diagnosis</span> Process to identify a disease or disorder

Medical diagnosis is the process of determining which disease or condition explains a person's symptoms and signs. It is most often referred to as a diagnosis with the medical context being implicit. The information required for a diagnosis is typically collected from a history and physical examination of the person seeking medical care. Often, one or more diagnostic procedures, such as medical tests, are also done during the process. Sometimes the posthumous diagnosis is considered a kind of medical diagnosis.

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Chronic Lyme disease (CLD) is the name used by some people with non-specific symptoms, such as fatigue, muscle pain, and cognitive dysfunction to refer to their condition, even if there is no evidence that they had Lyme disease. Both the label and the belief that these people's symptoms are caused by this particular infection are generally rejected by medical professionals. Chronic Lyme disease is distinct from post-treatment Lyme disease syndrome, a set of lingering symptoms which may persist after successful antibiotic treatment of infection with Lyme-causing Borrelia bacteria, and which may have similar symptoms to CLD.

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<span class="mw-page-title-main">Artificial intelligence in healthcare</span> Overview of the use of artificial intelligence in healthcare

Artificial intelligence in healthcare is a term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. Specifically, AI is the ability of computer algorithms to arrive at approximate conclusions based solely on input data.

The ICD coding for rare diseases is the International Classification of Diseases code used for the purpose of documenting rare diseases. It is important for health insurance reimbursement, administration, epidemiology, and research. Of the approximately 7,000 rare diseases, only about 500 have a specific code. However, more than 5400 rare diseases are included in ICD-11 and can be recorded using an ICD-11 URI. An ICD code is needed for a person's medical records—it is important for health insurance reimbursement, administration, epidemiology, and research. Finding the best ICD code for a patient who has a rare disease can be a challenge.

<span class="mw-page-title-main">Merative</span> U.S. healthcare company

Merative L.P., formerly IBM Watson Health, is an American medical technology company that provides products and services that help clients facilitate medical research, clinical research, real world evidence, and healthcare services, through the use of artificial intelligence, data analytics, cloud computing, and other advanced information technology. Merative is owned by Francisco Partners, an American private equity firm headquartered in San Francisco, California. In 2022, IBM divested and spun-off their Watson Health division into Merative. As of 2023, it remains a standalone company headquartered in Ann Arbor with innovation centers in Hyderabad, Bengaluru, and Chennai.

<span class="mw-page-title-main">Noémie Elhadad</span> American data scientist and academic

Noémie Elhadad is an American data scientist who is an associate professor of Biomedical Informatics at the Columbia University Vagelos College of Physicians and Surgeons. As of 2022, she serves as the Chair of the Department of Biomedical Informatics. Her research considers machine learning in bioinformatics, natural language processing and medicine.

An orphan device is a product or an equipment intended for the prevention, prediction, diagnosis, support, treatment or management of a life-threatening or chronically debilitating disease with a low prevalence/incidence, most notably for rare diseases. Orphan medical technology is then considered as both the medical device and the connectivity of the device. Many orphan devices provide essential functions for patients with rare diseases, their carers, and the healthcare professionals using them. Nevertheless, there are very few medical devices that are specifically developed for rare diseases. At the same time, many patients and carers express a substantial unmet need for new medical devices for their conditions.

References

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  2. Allen, Patricia (2022-02-10). "Berlin-based healthtech startup Ada Health closes Series B at over €105 million to accelerate growth". EU-Startups. Retrieved 2023-12-22.
  3. 1 2 3 Heathman, Amelia (2018-12-12). "The women leading the healthcare revolution through tech". Evening Standard. Retrieved 2023-05-25.
  4. 1 2 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 . ISSN   1750-1172. PMC   6427854 . PMID   30898118.
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  6. 1 2 3 4 5 6 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.
  7. Turner, Ben (2020-05-16). "Tanzania's digital doctor learns to speak Swahili". Financial Times. Retrieved 2023-05-25.
  8. "Can you really trust the medical apps on your phone?". Wired. 1 October 2017. Retrieved 22 September 2018.
  9. "Working Group on Digital and AI in Health" (PDF). broadbandcommission.org. September 2020. Retrieved 5 April 2023.
  10. 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.