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We help you to maximize the benefits from data.

 

The focus of our work is on the processing, evaluation, and analysis of all types of data from the healthcare sector, such as survey data, singular surveys conducted by services providers such as hospitals, and secondary data such as billing data from the German statutory health insurance system (GKV). We have extensive experience in developing and carrying out evaluations and different types of analysis in the field of healthcare research as well as before/after comparisons for assessing the effectiveness of measures and therapies.


Data Science AND Analytics

The analysis of data is undertaken using statistical software (SAS) and sound scientific know-how. We use methods such as variance analysis, regression analysis, structural equation modeling, survival time analysis, or analysis of differentials.

 

Here is a selection of some of the services we offer in the field of data science:

 

  • Analyses of medical costs
  • Evaluations related to health economics
  • Retrospective assessment of patient records
  • Key figures for epidemiology
  • Patient journey
  • Treatment pattern
  • Correlation analysis
  • Dependency analysis
  • Prognosis models
  • Statistical cause analysis

Pharmacoepidemiological Studies

Another focus of our work is on pharmacoepidemiological studies, projects, and their evaluations. We examine the effects of different exposures to medications on various aspects of health and healthcare, such as the utilization of healthcare services or occurrence of disease.

 

Moreover, our work covers the analysis of incidence and prevalence of drug therapies, studies on delayed side-effects of medications, and the detection of influencing factors on drug reactions.


Consulting

Syndatis would be delighted to provide you with consulting services for your projects and endeavors. For example, we can assist you in the following areas:

 

  • Preparation of expert reports
  • Planning study and survey designs
  • Support with data collection
  • Writing study protocols
  • Methodical support with data collection and analysis