What is Healthcare Data Science? Definition, Examples, and PHI

What is Healthcare Data Science?

Healthcare Data Science is the use of data analysis and machine learning techniques to gain insights and knowledge from healthcare data. This helps improve patient outcomes, reduce costs, and enhance overall healthcare delivery. It involves integrating various data sources such as electronic health records, medical claims, and patient-generated data. This data is used to develop predictive models, identify patterns and trends, and support clinical decision-making.

Healthcare Data Science is a rapidly growing field with the potential to revolutionize the way healthcare is delivered and managed.

Understanding Data Sources: INPUTEVENTS_CV and INPUTEVENTS_MV

INPUTEVENTS_CV and INPUTEVENTS_MV are two different data sources used in healthcare data analysis.

• INPUTEVENTS_CV: Contains calculated variables. These variables are generated automatically through calculations.
• INPUTEVENTS_MV: Contains manually entered variables. These variables are inputted directly by healthcare professionals.

Both INPUTEVENTS_CV and INPUTEVENTS_MV contain the same types of data, but they are collected from two different ICU systems. One system uses calculations to generate data, while the other relies on manual entry.

What does PHI stand for?

PHI stands for 'Protected Health Information'. This refers to any information about a patient's health status, treatment, or payment for healthcare that is identifiable to that individual.