Quality

The best of both worlds. Human and Artificial Intelligence.

The interaction between humans and AI offers the best of both worlds. This combination enables us to meet the highest standards of performance and safety as a medical device. 

Highest quality through clearly defined processes.

Proven quality

Proven quality

All our solutions are certified by a notified body as Class IIa medical devices (certificate pending) and therefore meet the highest quality and safety standards. 

Technological innovation

Technological innovation

We use technology where it makes sense. By leveraging AI, we can automatically analyze and process millions of medical publications to create the baseline for our algorithms.

Perfect symbiosis

Perfect symbiosis

The practical knowledge of doctors combined with millions of medical publications and groundbreaking technology create the perfect symbiosis between humans and AI.

Trust is good, control is better.

Medical device with CE certification

Our technology is certified as a Class IIa medical device (certificate pending). This means that an independent notified body, in our case TÜV Süd, verifies our compliance with norms and standards in annual audits.

Quality management according to ISO 13485

The safety of our products has absolute priority for us, therefore all key processes in the company are certified according to ISO 13485:2016. This quality management system ensures that the highest standards of performance and safety are reliably met.

Standardized processes and norms

Being a medical device manufacturer, we have to adhere to a large number of regulatory requirements, which are ensured by compliance with standards. In addition to the ISO 13485-compliant quality management system, we meet the requirements of the following relevant standards, directives and laws:

  • Medical Devices Directive (MDD) 93/42/EEC with 2007/47/EC
  • Medical Devices Regulation (MDR) 2017/745
  • Medical Devices Act and relevant regulations
  • EN ISO 14971:2019
  • EN 62304:2006 + A1:2015
  • EN 62366-1:2015
  • EN 82304-1:2017

In addition to this, we comply with all local regulations in countries where we market our product.

Committed to security and data protection.

State-of-the-art encryption methods

State-of-the-art encryption methods

By using state-of-the-art encryption methods when transferring and storing health information, we guarantee the security and privacy of sensitive data.

Sophisticated database architecture

Sophisticated database architecture

We prevent unauthorized access to data through structural and technological barriers. No one other than the user can view personal health data.

Data centers in Austria and Switzerland

Data centers in Austria and Switzerland

By relying on local storage with certified data centers, we ensure that no sensitive information leaves the European legal area.

The knowledge of millions in one health solution.

Data analysis with AI

Data analysis with AI

Our artificial intelligence can analyze millions of medical publications from the literature and process data on over 4.000 medical conditions.

Review by doctors

Review by doctors

Our team of doctors then verifies this information qualitatively and enriches it with reference literature and practical experience.

Medical stress test

Medical stress test

We verify our technology with thousands of real life case studies. This is the most objective way to test accuracy of our system.

Usability tests

Usability tests

Through ongoing testing with real users, we ensure that our medical algorithms work as intended and meet the defined requirements.

Convincing medical accuracy and reliability.

We verify the medical accuracy of our technology in medical stress tests. This happens continuously and on the basis of thousands of case studies from the literature. The goal is to identify the verified diagnosis from the case study as a possible outcome. This has proven to be the most reliable method of testing medical accuracy under objective conditions.

Medical accuracy
91,1 %

Tested with XUND v.1.2.0 based on case studies by Semigran et al. 2015.

Benchmark with case studies from the standard literature.

In order to objectively assess the quality of XUND also in comparison to other solutions, we assessed the 45 case studies from one of the most frequently cited publications in the domain. These case studies are regularly used by researchers to evaluate medical accuracy, most recently by Ceney et al. 2021.

ICD-10
Medical condition
Age
Result
ICD-10J00
Medical conditionCommon cold
Age30 Years
Result identified
30-year-old male with common cold
ICD-10: J00
Present symptoms:
  • Runny nose

  • Sore throat

  • Increased sweating

  • Headache

  • Cough

  • General muscle pain

  • Limb pain

  • Red throat

  • Swelling of the lymph nodes

Additional information:
Do you smoke or have you been a smoker in the past?
Yes
Source:
Intermittent low back pain referred from a uterine adenomyosis: a case report. J Chiropr Med. 2011;10(1):64-69. https://dx.doi.org/10.1016%2Fj.jcm.2010.08.004
Verified diagnosis identified as 3. result
Conditions identified by XUND:
  • Acute bronchitis
  • Pharynx inflammation
  • Common cold
ICD-10B27.0
Medical conditionPfeiffer's disease
Age16 Years
Result identified
16-year-old female with Pfeiffer's disease
ICD-10: B27.0
Present symptoms:
  • Fever
  • Sore throat
  • Physical exhaustion
  • Swallowing difficulties
  • General malaise
  • Swelling of the lymph nodes
  • Red throat
  • Rash
Additional information:
Do you feel like the rash is spreading to your whole body?
Yes
Source:
Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015
Verified diagnosis identified as 2. result
Conditions identified by XUND:
  • Scarlet fever
  • Pfeiffer's disease
  • COVID-19 infection
ICD-10J02
Medical conditionPharynx inflammation
Age7 Years
Result identified
7-year-old female with pharynx inflammation
ICD-10: J02
Present symptoms:
  • Fever
  • Sore throat
  • Nausea
  • Vomiting
  • Swelling of the lymph nodes
  • Red throat
Source:
Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015
Verified diagnosis identified as 2. result
Conditions identified by XUND:
  • Tonsil inflammation
  • Pharynx inflammation
  • COVID-19 infection
ICD-10H66
Medical conditionInflammation of the middle ear
Age2 Years
Result identified
2-year-old male with inflammation of the middle ear
ICD-10: H66
Present symptoms:
  • Sniffles
  • Cough
  • Sleeping difficulties
  • Loss of appetite
  • Fever
Source:
Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015
Verified diagnosis identified as 2. result
Conditions identified by XUND:
  • Acute bronchitis
  • Otitis media of the infant or toddler
  • Common cold
  • COVID-19 infection
ICD-10D59.3
Medical conditionHemolytic uremic syndrome
Age4 Years
Result not identified
4-year-old male with hemolytic uremic syndrome
ICD-10: D59.3
Present symptoms:
  • Sniffles
  • Cough 
  • Sleeping difficulties
  • Loss of appetite
  • Fever
  • Irritability
  • Runny nose
Source:
Evaluation of symptom checkers for self diagnosis and triage: audit study Hannah L Semigran, Jeffrey A Linder, Courtney Gidengil, Ateev Mehrotra 2015
Verified diagnosis could not be identified
Conditions identified by XUND:
  • Rotavirus
  • Norovirus

Always one step ahead.

In the study conducted by Ceney et al 2021, 9 symptom checkers were analyzed and compared regarding their medical performance. In this study the correct result was listed in the top five diagnoses in 51.0% of all cases and the mean number of questions to reach a disposition was 22.2. Using the dataset from the study, XUND identifies the correct condition in 91.11% of cases in the top 5 results and asks a mean number of 20.3 questions, outperforming all solutions in terms of accuracy and most in terms of process speed.

You want to know more? We have collected some of the most frequently asked questions for you.

Do you work together with medical doctors?

We have our own team of medical doctors who verify the quality of every single piece of information in the medical database based on reference literature and experience from the medical practice.

How do you ensure the quality of the medical content?

Our medical content is created and validated in cooperation with the Thieme Group, tailored to our offering.

Is all content created or reviewed by medical doctors?

Our technology is based on two pillars, one quantitative and one qualitative. Using AI, several million medical publications are analyzed and then reviewed again by our doctors with literature and practical experience. So it's the symbiosis of both worlds and our standardized quality assurance systems that make the difference.

What diseases do you cover?

Our AI can automatically analyze millions of medical publications and process data on over 4.000 medical conditions. However, in order to provide our users with statistically relevant and meaningful results, XUND prioritizes the most common medical conditions out of this dataset, that account for the vast majority of illness cases.

Step into the future of healthcare.