Geo Analysis

 

Visual representation on the map of Germany

Real data visualization since 2006

Functions of the Geo Analysis

The Geo Analysis visualises the routine data collected from all German hospitals as well as internal hospital §21 data sets on a map of Germany.

The routine data includes the service and structural data from the quality reports (market analysis) and the economic indicators (G-DRG analysis). This includes the documented number of indications treated and diagnostic, therapeutic or surgical measures performed per federal state, district, city or custom-created areas (e.g. sales areas). Environmental analyses with a freely selectable radius based on clinic location or geocoordinates are also available. In addition to performance data, structural characteristics such as the number of beds, operators, or the availability of specialist departments can also be selected for viewing. Economic indicators such as DRGs, case mix index, or length of stay can be retrieved for each district based on the patient’s place of residence. The service groups that will replace the current specialist department structure (see screenshot) can also be displayed.

An analysis of the catchment area is possible based on the hospital’s internal §21 data records. In addition to the overall view, filters can be applied in a variety of ways. For example, individual DRGs, service groups, specialist areas, patient characteristics, procedures, indications (also in combination) and much more can be selected, which limits the output on the map of the United Kingdom based on the selected properties.

View of the degree of fulfillment of the NRW minimum criteria for all hospitals in Germany

§21 Data

Routine Data

Catchment area

Filterable by

  • DRG and case number
  • Indication and procedure
  • Service groups
  • Treating specialist department
  • CMI and LOS
  • Case consolidation
  • Relative weight drg
  • Age, gender, weight
  • Reason for admission and discharge
  • Admission and discharge period
  • Outpatient potential
  • Additional Fee and NUB 
  • and much more

Based on your own data records

Performance data

  • Frequency of diagnoses (ICD-10) and treatment measures (OPS)
  • Procedures performed on an outpatient basis (AOP)
  • Outpatient potential (AOP and hybrid)

Based on Market Analysis

Structural characteristics

  • Hospitals and departments incl. provider types
  • Number of beds, Personnel resources and education
  • Apparatus equipment

Based on Clinic Guide

Economic key figures

  • Billed fees per case (DRG)
  • Place of residence of the patients
  • Case numbers down to county level

Based on G-DRG Analysis

Service groups

  • Status fulfilled or not fulfilled
  • Restriction to areas
  • Display of clinic size (beds)

Based on Service Groups Editor

General platform functions

  • Historical display of data since 2006 (trend graphs)
  • Numerous filter parameters tailored to specific areas
  • Display of results in various graphs
  • Link to all platform areas
  • incl. export function in all areas
  • Available in German and English
  • Integrated video learning platform for all areas
  • Support from experts at the Reimbursement Institute