The population gets older and faces multiple healthcare problems by keeping the treatment options up-to-date.
A lack of doctors contributes to time and cost pressures so the hospitals have less and less time for individual patients and produce errors.
Unstructured data cannot be collected
The population gets older and faces multiple healthcare problems by keeping the treatment options up-to-date.
A lack of doctors contributes to time and cost pressures so the hospitals have less and less time for individual patients and produce errors.
Unstructured data cannot be collected and analyzed to gain useful medical insights. The consequence for unmanaged data can lead to treatment and research errors. Healthcare professionals will also save time from having accurate information readily available with structured data.
On average a doctor has 5 minutes with the patient, which can lead to treatment errors.
Administration workers can act more efficiently when regular tasks are automated, to free up time for the essential tasks.
Diagnostic errors that are produced include faulty perception, failed heuristics and biases. AI can be used to reduce the effect of cognitive biases and influences when clinicians make diagnoses.
Having the right product, in the right place, at the right time can save lives in the healthcare sector.
AI can help you face the biggest challenges on your healthcare journey – to meet these challenges, we offer you AI support in these most important areas: clinical research, development, diagnosis, implementation of a new product and customer service.
AI in Healthcare: The Next Medical Revolution – AI applications are revolutionizing the healthcare industry, from hospital care to clinical research, drug development and insurance – Forbes
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