5 Reasons Why Doctors Should Learn Data Science

Data science and artificial intelligence are no longer buzz words in the biomedical research community. Physicians and other caregivers are increasingly being encouraged by hospitals and health insurance companies to utilize continous data captured using wearable medical devices. However classical healthcare heavily relies on high accuracy sparse datasets, i.e. patients are expected to get a thorough medical checkup once a month, as opposed to continuous monitoring of a handful of vital parameters. The most significant impact of data science will be in helping physicians extract clinically relevant information from such dense low-quality data sets.

In this article, we have listed five such reasons why physicians and caregivers should learn about emerging technology such as data science and artificial intelligence .

1. Diagnose using large volumes of data generated from continuous monitoring
2. Diagnose using multiparameter data
3. Diagnose using data visualization
4. Understand AI workflow
5. Understand the statistical significance of clinical studies

The full Forbes article can be viewed at this link.