Prescription analytics
Prescription analytics is like a big game of math where we count and measure how many medicines people take and why they take them. It helps us understand how to improve people's health and make sure they get the right medicine they need.
Think of it like a puzzle. We collect information from doctors and pharmacies about what medicine they give to people, and we put all that information together to see patterns. Then, we use that data to make better decisions for people's health.
Let's say we notice that a lot of people are taking a certain medicine that has side effects like dizziness and nausea. By looking at the data, we might find out that those side effects are happening because the medicine is being prescribed with another medicine that causes those side effects when taken together. Then, we can tell doctors and pharmacists to stop prescribing those medicines together, so people can avoid those unpleasant side effects.
Overall, prescription analytics helps us see the big picture of what medicines people are taking and why, so we can help them stay healthier and avoid problems.
Think of it like a puzzle. We collect information from doctors and pharmacies about what medicine they give to people, and we put all that information together to see patterns. Then, we use that data to make better decisions for people's health.
Let's say we notice that a lot of people are taking a certain medicine that has side effects like dizziness and nausea. By looking at the data, we might find out that those side effects are happening because the medicine is being prescribed with another medicine that causes those side effects when taken together. Then, we can tell doctors and pharmacists to stop prescribing those medicines together, so people can avoid those unpleasant side effects.
Overall, prescription analytics helps us see the big picture of what medicines people are taking and why, so we can help them stay healthier and avoid problems.