DRG
DRG Grouper for hospitals
The DRG classification system is a mechanism used to calculate the financial cost of treating a patient. It allows you to classify patient treatment based on demographic, diagnostic and therapeutic characteristics. Simply put, in this system, the amount of reimbursement depends on the patient's diagnosis.
Our solution is comprehensive and provides managers with an analytical view of hospital inpatient cases, helping to monitor hospital revenues and costs. Individual departments can then better plan health care in relation to reimbursement from health insurance companies.
Strix basic module
Used to classify DRG cases. Designed for health insurance companies and hospitals, it enables extremely fast processing and evaluation of large volumes of data as well as full integration with other systems with minimal requirements for the configuration of the operating environment.
Basic functionality
| Provides classification of hospital cases into DRGs based on input data |
| Enables extremely fast processing and evaluation |
| Also calculates the total financial burden for each hospital case separately |
Main benefits
| Amount of reimbursement for individual patients takes into account the complexity of their treatment |
Surnia module
Creates analytical reports, effectively manages costs and retrospectively analyses revenue in the DRG system. Provides clear reports on the production, reporting and impact of DRG implementation.
Basic functionality
| Includes basic reports on hospitalised cases in terms of income and medical aspects |
| Allows you to check hospitalisation benefits with health insurance companies before sending them |
| Analyses the quality of reporting and monitors its evolution by department |
| In combination with the Nesasio module, allows you to assign costs to individual cases |
Main benefits
| Comparison of results with reference results of all hospitals or similar hospitals over time |
| Includes business logic for defining hospital cases and assigning costs to cases |
| Retrospective analysis of reported primary care, cost comparison |
Nesasio module
Nesasio's economic module helps to monitor the cost per patient. Thanks to the amount of data available to the module, it determines the cost per patient in real time. This is a special methodology for calculating the cost per patient in two steps. In the first step, unit prices for different types of costs are calculated on the basis of historical data; in the second, the calculated unit prices from the first step are used to value the actual cases. In a retrospective valuation, the case is recalculated according to the actual costs for the given period.
Basic functionality
| Calculates the cost per hospital case based on billing data and medical indicators |
| Calculates the turnover of indirect centres |
| Provides a detailed view of the cost structure of individual cases in the context of health centres |
| Creates pricing for hospital allocation keys such as cost price per bed, cost price per operating minute and cost price per point |
Main benefits
| Identifies the most profitable and most loss-making DRGs |
| Tracks costs per patient over time and within a given structure |
Otus module
Monitors the economic performance of the hospital's cost centres and evaluates their efficiency. Allows budgeting of indirect cost centres according to its own budget configuration or based on the methodology of the Ministry of Health.
Basic functionality
| Allows revenue to be budgeted by cost for direct cost centres involved in the provided health care |
| Generates accounting turnover for the booking of inter-organisational costs and revenues |
| Monitors the economic performance of cost centres after budgeting of intra-organisational costs and revenues |
Tyto module
Expert module designed to integrate with the hospital information system that models and manages the coding of inpatient cases. Evaluates the accuracy of the reported data in real time and, if necessary, highlights any discrepancies or errors.
Basic functionality
| Integrated with hospital information systems, from which it collects relevant patient information |
| Helps prevent future revenue losses for the hospital |
Main benefits
| Improving the quality of reported data and thus avoiding future revenue losses |
| A clear additional screen that recommends to the physician a selection of codes for the given diagnosis |
| User-friendly environment |
Tyto + module
Superstructure of the Tyto module that focuses on reducing the error rate in reporting hospital admissions when they are checked by the health insurance company.
Basic functionality
| Provides 110 new controls |
| Gradually adds additional controls based on analysis of health insurance companies' error logs |
| Optimises DRG attribute items in the original version of the Tyto module |
Gallery / Video
Asseco DRG BI
