How is Data Collected for Personalized Recommendations?
Data collection for personalized recommendations involves multiple sources. These include electronic health records (EHRs), genetic testing, wearable devices, and patient surveys. EHRs provide a wealth of information, ranging from past medical history to current medications. Genetic testing can identify predispositions to certain diseases, while wearable devices can monitor real-time health metrics like heart rate and physical activity. Patient surveys can offer insights into lifestyle factors such as diet and exercise.
