Savana’s study protocols and statistical analysis plans have been approved by multiple research ethics boards in different countries across Europe, North and Latin America. Results have been published in top scientific Journals.
Savana participates only when EHR text is relevant to the objectives of the study.
Other structured databases can be included.
Data reliability checks performed: including accuracy, validity, conformance, plausibility, completeness, data provenance, and transparency in data processing.
Summary statistics for:
Fit-for-purpose NLP models are built based on the objectives of the study.
Advanced NLP goes beyond codifying or one-time extraction of variables from text. It requires a deep clinical understanding of how EHRs are populated and what inferences need to be made to extract knowledge from each situation and for a given purpose.
We leverage clinical expertise to guide our analysis strategy:
From single terms to complex medical concepts and patient populations:
The Impact of COVID-19 on Patients with Asthma.
There are several tools to assist decision makers in evaluating the quality of RWE studies. However, as yet, there is no consensus on a gold standard tool.
Savana’s dRWE Scientific Methodology incorporates considerations in each point in the scientific process.
Clinical characteristics and prognostic factors for ICU admission of patients with covid-19: Retrospective Study Using Machine Learning and Natural Language Processing.
Clinical Management of COPD in a Real-World Setting. A Big Data Analysis.