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Automate note-taking for doctors, save time and cut down mistakes.
Between 10% and 15% of medical diagnosescontain errors, with 17% responsible for serious adverse events in hospitals [1].
This results in inappropriate treatments,disease progression due to delayed diagnoses, and additional costs tohealthcare systems.
Physicians face an overload of clinicalinformation, time constraints, and pressure to make quick decisions, increasingthe likelihood of errors.
Patient Impact: In the U.S., approximately 12 million adults annuallyexperience diagnostic errors in outpatient care [2]
Economic Costs: Diagnostic errors generate additional expenses ofapproximately $100 billion annually in unnecessary tests and treatments [3].
Clinical Impact:Physicians spend 40% of their timeanalyzing records, limiting effective decision-making time [1].
A differential diagnosis tool powered by Artificial Intelligence (AI) to:
- Reduce diagnostic errors by prioritizing clinical data and updated scientific literature.
- Optimize physician time by delivering quick and reliable responses to support critical decisions.
- Enhance diagnostic accuracy, improving patient safety and reducing avoidable complications.
- Ease cognitive overload by providing access to updated information and avoiding the burden of analyzing thousands of new publications annually.
The AI assistant is powered by data from PubMed, a renowned biomedical research database offering a comprehensive and reliable foundation for training the diagnostic tool in evidence-based medical science.
Between 10% and 15% of medical diagnosescontain errors, with 17% responsible for serious adverse events in hospitals [1].
This results in inappropriate treatments,disease progression due to delayed diagnoses, and additional costs tohealthcare systems.
Physicians face an overload of clinicalinformation, time constraints, and pressure to make quick decisions, increasingthe likelihood of errors.
Patient Impact: In the U.S., approximately 12 million adults annuallyexperience diagnostic errors in outpatient care [2]
Economic Costs: Diagnostic errors generate additional expenses ofapproximately $100 billion annually in unnecessary tests and treatments [3].
Clinical Impact:Physicians spend 40% of their timeanalyzing records, limiting effective decision-making time [1].
A differential diagnosis tool powered by Artificial Intelligence (AI) to:
- Reduce diagnostic errors by prioritizing clinical data and updated scientific literature.
- Optimize physician time by delivering quick and reliable responses to support critical decisions.
- Enhance diagnostic accuracy, improving patient safety and reducing avoidable complications.
- Ease cognitive overload by providing access to updated information and avoiding the burden of analyzing thousands of new publications annually.
Additional Costs from Diagnostic Errors:
AI-powered tools can reduce costs related to diagnostic errors by one-third.
Diagnostic errors account for approximately 15% of total healthcare costs inhospitals [1].
Productivity and Time Optimization:
These tools increase physician productivity by 25% per day, considering thatanalyzing complex diagnostic cases consumes this time on average.
The tool provides rapid, specific differential diagnoses by inputting patient symptoms,diseases, organ systems, and more, resulting in improved clinicaldecision-making. AI-powered differential diagnosis tools can reduce errors byup to 30% [2], enhance patient safety, increase physician productivity by 25%, and reduce operational costs by minimizing unnecessarytests and hospitalizations due to misdiagnoses.
The AI assistant is powered by data from PubMed, a renowned biomedical research database offering a comprehensive and reliable foundation for training the diagnostic tool in evidence-based medical science.
