GerOSS

GerOSS monitors and analyzes rare and severe obstetric complications, including eclampsia, postpartum hemorrhage, and uterine rupture, to generate risk profiles and inform clinical quality improvement.


Key Features:

  • Risk Factor Analysis: Identifies and analyzes risk factors such as age, body mass index, and previous cesarean sections associated with severe obstetric complications.
  • Quality Improvement System: Provides data-driven insights aimed at enhancing clinical practices and decision-making in obstetric care.
  • Monitoring and Data Collection: Monitors selected rare obstetric events over two to five years across Lower Saxony, Bavaria, and Berlin and collects aggregate data for analysis.
  • In-depth Case Evaluation: Performs anonymized, case-based expert evaluations to scrutinize the sequence of medical interventions and overall management of care.
  • Feedback Mechanism: Supplies participants with case synopses to support reflective practice and local clinical review.
  • Data Publication: Publishes aggregate results to enable transparency and dissemination of epidemiological findings.
  • Scientific Advisory Committee: Maintains oversight and linkage with professional scientific bodies through a dedicated advisory committee.
  • International Collaboration (INOSS): Compares data within the International Network of Obstetric Survey Systems (INOSS) to improve incidence estimates and benchmarking.
  • Risk Profiles and Treatment Algorithms: Constructs risk profiles and derives treatment algorithms for outcomes such as hysterectomies and uterine ruptures.
  • Implementation Reporting: Reports participation and implementation data from its deployment since 2010 across three federal states in Germany.

Scientific Applications:

  • Surveillance of Severe Obstetric Events: Surveillance and epidemiological description of events including eclampsia, postpartum hemorrhage, uterine rupture, and related hysterectomies.
  • Risk Stratification and Algorithm Development: Development of risk profiles and treatment algorithms to guide management of high-risk obstetric cases.
  • Regional and International Incidence Estimation: Generation of more reliable incidence estimates by comparison within INOSS and across regions (Lower Saxony, Bavaria, Berlin).
  • Clinical Quality Improvement and Benchmarking: Informing quality improvement initiatives and benchmarking of obstetric care practices based on aggregate and case-based analyses.

Methodology:

Monitoring of selected rare obstetric events over two to five years; quantitative analyses of aggregate data; in-depth anonymized case-based evaluations by experts to examine sequences of medical interventions; construction of risk profiles and derivation of treatment algorithms for specified conditions.

Topics

Details

License:
Other
Maturity:
Mature
Cost:
Free of charge (with restrictions)
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
5/11/2019
Last Updated:
6/16/2020

Operations

Publications

Grüßner S, Lack N, Franz HBG, Berlage S. GerOSS (German Obstetric Surveillance System). Methods of Information in Medicine. 2015;54(05):406-411. doi:10.3414/me14-01-0141. PMID:26065375.