Three Levels of Advanced Analytics

Advanced data analytics and data-driven intervention offer the key insights needed to improve care and lower costs. XCare Community enables health systems to aggregate and harmonize large datasets and then turns this data into insights, insights that can help identify gaps in care, measure quality, enhance documentation, and facilitate the assessment process.

XCare Community accomplishes this feat through incorporating three levels of advanced analytics – descriptive, predictive, and prescriptive.

Note: Most population health analytics systems on the market today do not include prescriptive analytics.

Descriptive Analytics:

Descriptive analytics looks at past performance and understands that performance by mining historical data to look for the reasons behind past success or failure. Almost all management reporting within healthcare (such as quality, clinical, administrative, operations, and finance) uses this type of retrospective  analysis.

Predictive Analytics

Predictive analytics takes the descriptive historic performance data and then applies rules, algorithms, and occasionally external data to determine the probable future outcome of an event or a likelihood of a future situation occurring.

Prescriptive Analytics

Prescriptive analytics goes beyond predicting future outcomes by also suggesting actions to alert the decision maker as to what actions need to be taken to manage a future outcome (such as with a patient).