Infermedica’s AI-powered triage solutions are based on a carefully curated medical information database. This article will explain how we maintain and develop our medical information database to the highest standards.
What is the Medical Knowledge Base?
Infermedica’s Medical Knowledge Base is a vast database that contains thousands of symptoms, conditions, and risk factors. These data are interconnected in a web-like fashion. They are linked with multiple symptoms and have been organized in Metabase, our internal database system. Patients receive reliable symptom analysis thanks to this data collection. Patients are reassured and directed to the appropriate treatment when they access approved medical information.
The Infermedica Inference Engine’s result is also an essential part of triage. Insurance companies and medical facilities use health and triage information to determine the appropriate level of care (from self-care to emergency rooms) and route patients to the right centers. This is often critical for insurance companies. With Metabase as its foundation, this process results in the mutually desired result – the best medical support possible for the patient.
The quality of the database is responsible for many businesses’ business stability and patient satisfaction. We put the same effort and care into developing and designing our medical database that doctors do when diagnosing patients.
Jakub Jaszczak is Infermedica’s, Medical Doctor and Product Manager. It directly reflects the effectiveness and accuracy of our evidence assessments. It is maintained up-to-date and thoroughly, just like a doctor’s.
What makes our Medical Knowledge Base exceptional?
- The Medical Content Team is made up of experienced professionals.
Over forty doctors created the medical information database we kept in 2012. The medical information database is continually updated with new conditions, risk factors, and lab tests. They also add to its comprehensive collection.
Our Medical Content Team comprises senior experts from different fields who collaborate and work together to build our content using a comprehensive approach to patient care. They can also help us adjust our solutions to comply with different laws. Each one has worked as a doctor in the past and is dedicated to providing the best treatment possible for patients.
They use their professional expertise as a background to find the best evidence-based medical sources, and then propose new concepts for improving the database. The database’s foundations are reviewed and verified. Each medical vision is reviewed by at least two other colleagues and proofread by an editor of native languages. Peer reviews are used to correct and evaluate information about conditions and symptoms. Peer reviews also allow for the signaling of potentially threatening interactions between concepts within the Metabase. They have spent over 34,000 hours validating and building the best medical content.
- The patient’s language contains medical content.
When creating our medical database, we pay attention to how patients use it and how they communicate symptoms. We include standard terms and phrases that patients use to describe their symptoms and professional medical information. This is vital to the database’s effectiveness: laypeople terms linked with medical vocabulary. We unambiguously connect each concept, allowing patients to communicate their medical terminology.
Communication is the foundation of doctor-patient relationships. Daphnee Dubouchet Olsheski is the Medical Content Editor at Infermedica. “If AI applications want to be accepted into medicine, they must get it right.” “This is where Infermedica excels, with its dialectically-accurate symptom assessment application. She says that the app’s simplicity in explaining medical nuances increases patient satisfaction and decreases frustration for the practitioner.
Our solutions are available in seventeen languages currently. Each language has its uniqueness and regional variations. We have doctors from various countries on our medical team to communicate these particularities accurately to app users. They recognize all nuances and ensure that our medical content is clear to the patients in every area they serve.
- Sources of reliable medical information
Our medical team is deeply grounded in evidence-based medicine. Our content editors create new concepts for our medical database using trusted, proven, reliable sources such as medical journals (e.g., Best Practice by British Medical Journal and New England Journal of Medicine. Lancet, Clinical Key, and Up-to-Date. Guidelines and publications from international specialized agencies and organizations (e.g., WHO, CDC, and many medical papers with a high impact (e.g., NEJM, Lancet).
“Over the years, our medical content has grown. We started with common diseases such as the common cold and migraines. We expanded our range to include skin conditions, mental health issues, and surgical complications later. Jakub Jaszczak says we have been focusing on pediatric diseases and injuries in recent years.
Our medical information database contains information about symptoms, risk factors, and probable relations. These are updated regularly based on the current triage protocol.
Each data item in the medical database has been thoroughly checked and published after passing a series of tests.
- A proven process for medical content creation and verification
For nearly a decade, our specialty has been the development of medical content. We have developed a process for content development that is error-free and produces the best medical information. Although our content publication process is complex and intricate, the key steps include the following:
- Defining scope for enhancement to existing content and structures.
- Eliciting expert information.
- Specifying test criteria.
- Testing.
- Deploying procedures.
This guidance is followed by our Medical Content Team daily in their duties.
Maintaining this large amount of information is becoming a problem due to the constant growth of the database. We ensure that our algorithms receive only high-quality information. This is thanks to explicit and written processes and peer review,” Anna Nowicka (Head of Medical Content) says.
Infermedica’s AI-powered triage solutions are based on a carefully curated medical information database. This article will explain how we maintain and develop our medical information database to the highest standards.
What is the Medical Knowledge Base?
Infermedica’s Medical Knowledge Base is a vast database that contains thousands of symptoms, conditions, and risk factors. These data are interconnected in a web-like fashion. They are linked with multiple symptoms and have been organized in Metabase, our internal database system. Patients receive reliable symptom analysis thanks to this data collection. Patients are reassured and directed to the appropriate treatment when they access approved medical information.
The Infermedica Inference Engine’s result is also an essential part of triage. Insurance companies and medical facilities use health and triage information to determine the appropriate level of care (from self-care to emergency rooms) and route patients to the right centers. This is often critical for insurance companies. With Metabase as its foundation, this process results in the mutually desired result – the best medical support possible for the patient.
The quality of the database is responsible for many businesses’ business stability and patient satisfaction. We put the same effort and care into developing and designing our medical database that doctors do when diagnosing patients.
Jakub Jaszczak is Infermedica’s, Medical Doctor and Product Manager. It directly reflects the effectiveness and accuracy of our evidence assessments. It is maintained up-to-date and thoroughly, just like a doctor’s.
What makes our Medical Knowledge Base exceptional?
The Medical Content Team is made up of experienced professionals.
Over forty doctors created the medical information database we kept in 2012. The medical information database is continually updated with new conditions, risk factors, and lab tests. They also add to its comprehensive collection.
Our Medical Content Team comprises senior experts from different fields who collaborate and work together to build our content using a comprehensive approach to patient care. They can also help us adjust our solutions to comply with different laws. Each one has worked as a doctor in the past and is dedicated to providing the best treatment possible for patients.
They use their professional expertise as a background to find the best evidence-based medical sources, and then propose new concepts for improving the database. The database’s foundations are reviewed and verified. Each medical vision is reviewed by at least two other colleagues and proofread by an editor of native languages. Peer reviews are used to correct and evaluate information about conditions and symptoms. Peer reviews also allow for the signaling of potentially threatening interactions between concepts within the Metabase. They have spent over 34,000 hours validating and building the best medical content.
The patient’s language contains medical content.
When creating our medical database, we pay attention to how patients use it and how they communicate symptoms. We include standard terms and phrases that patients use to describe their symptoms and professional medical information. This is vital to the database’s effectiveness: laypeople terms linked with medical vocabulary. We unambiguously connect each concept, allowing patients to communicate their medical terminology.
Communication is the foundation of doctor-patient relationships. Daphnee Dubouchet Olsheski is the Medical Content Editor at Infermedica. “If AI applications want to be accepted into medicine, they must get it right.” “This is where Infermedica excels, with its dialectically-accurate symptom assessment application. She says that the app’s simplicity in explaining medical nuances increases patient satisfaction and decreases frustration for the practitioner.
Our solutions are available in seventeen languages currently. Each language has its uniqueness and regional variations. We have doctors from various countries on our medical team to communicate these particularities accurately to app users. They recognize all nuances and ensure that our medical content is clear to the patients in every area they serve.
Sources of reliable medical information
Our medical team is deeply grounded in evidence-based medicine. Our content editors create new concepts for our medical database using trusted, proven, reliable sources such as medical journals (e.g., Best Practice by British Medical Journal and New England Journal of Medicine. Lancet, Clinical Key, and Up-to-Date. Guidelines and publications from international specialized agencies and organizations (e.g., WHO, CDC, and many medical papers with a high impact (e.g., NEJM, Lancet).
“Over the years, our medical content has grown. We started with common diseases such as the common cold and migraines. We expanded our range to include skin conditions, mental health issues, and surgical complications later. Jakub Jaszczak says we have been focusing on pediatric diseases and injuries in recent years.
Our medical information database contains information about symptoms, risk factors, and probable relations. These are updated regularly based on the current triage protocol.
Each data item in the medical database has been thoroughly checked and published after passing a series of tests.
A proven process for medical content creation and verification
For nearly a decade, our specialty has been the development of medical content. We have developed a process for content development that is error-free and produces the best medical information. Although our content publication process is complex and intricate, the key steps include the following:
Defining scope for enhancement to existing content and structures.
Eliciting expert information.
Specifying test criteria.
Testing.
Deploying procedures.
This guidance is followed by our Medical Content Team daily in their duties.
Maintaining this large amount of information is becoming a problem due to the constant growth of the database. We ensure that our algorithms receive only high-quality information. This is thanks to explicit and written processes and peer review,” Anna Nowicka (Head of Medical Content) says.