Project Description
decisys-CRG
decisys CRG is a data analytics solution developed by Sigesa and 3M for the analysis of population health, calculation and analysis of population risk adjustment indicators and chronic analysis and management based on the stratification algorithm of 3M-CRG populations (Clinical Risk Groups).
Risk Adjustment:
Monitoring the state of Population Health
The CRG risk adjustment model allows the monitoring and evaluation of the health states of an assigned population, the comparison of the situation of different population centers, as well as understanding the behavioral trends of the most relevant diseases. Since they also allow the visualization of the patient’s global history, these systems also facilitate the establishment of communication channels and shared care between Primary and Specialized Care.
The CRG risk adjustment model allows the monitoring and evaluation of the health states of an assigned population, the comparison of the situation of different population centers, as well as understanding the behavioral trends of the most relevant diseases. Since they also allow the visualization of the patient’s global history, these systems also facilitate the establishment of communication channels and shared care between Primary and Specialized Care.
Managing Chronicity
This is perhaps the best known benefit of the Clinical Risk Groups. Stratification allows the identification of high-risk chronic patients and the management of the prevalence rates of chronic diseases in a population. This information makes it possible to carry out follow-up and care strategies for chronic patients, highly necessary given world demographic forecasts.
Planning Prevention
The identification of high-risk populations allows the implementation of prevention plans on those groups of citizens who are more susceptible to that, by intervening proactively on them, their clinical evolution develops in a more positive way.
Resource and Expenditure Management
Stratification allows the visualization of the burden of disease hidden within the population pyramid, making it easier to identify where health spending is concentrated. Likewise, it also allows better planning and more efficient management of available resources, making it easier to assign them according to the real burden of disease. Finally, decisys-CRG is tremendously useful in the implementation of capitation financing models, where the individual and their burden of disease is the axis of follow-up and action.
Features:
Centralized database.
Normalization of all the necessary information for the assignment of the risk group, corresponding to each individual and integral system of validation of quality of information.
Standard pre-designed dashboards.
Customizable reports.
Traceability of the data with possibility of full indicator Drill-Down (Hospital> Department> DRG> Episode).
Heat maps of prevalence of diseases and chronicity.
Flexibility, autonomy and immediate results availability.
