Below are some of the major use cases where data science is making a big difference in the healthcare industry.
- Drug discovery
- Public health
- Reduced healthcare costs
- Optimal staffing
Data science can leverage various sets of structured and unstructured biomedical data obtained from numerous tests, treatment results, case studies, social media etc.
Data science methods are also able to integrate with genomic data in research to provide accurate insights into genetic issues arising out of specific drugs and diseases.
Data scientists can look into billing data and information from clinical systems pertaining to categories of charges and variables.
Clearly, in addition to transforming patient care, data is helping healthcare providers in tackling issues related to resource management, inadequate medical staff, and high treatment costs.
Needless to say, this amount of data would be impossible to interpret if not for data science and AI. “By one estimate, AI could help reduce health care costs by $150 billion by 2026 in the U.S. alone,” according to Stanford Medicine’s 2018 Health Trends Report.
As the developments in healthcare data science continue, we can look forward to a revamped healthcare model in the days to come.
Source: Crayon Data