Health insurance administrative data, which is typically generated by health systems for administrative purposes, has enormous potential beyond its primary function. However, these data are only a proxy for the real clinical story of the patient. Our research group is exploring the myriad ways in which this treasure trove of information can be used for a variety of scientific purposes. Our efforts are directed toward uncovering ways to cleanse data of errors, normalize and standardize it for the purpose of comparing interventions and making factual meaning from a clinical perspective. However, by far the most significant effort we are making with these data is to anonymize them to ensure the privacy of individuals.
Anonymized administrative data is a rich source of information that includes details on patient demographics, medical procedures, diagnoses, prescriptions, and costs. Using this data allows us to gain a comprehensive view of healthcare delivery and patient outcomes. Our research group is adept at navigating these complex data sets and extracting meaningful insights from them.
One of our main goals is to support healthcare research by using administrative data. We investigate trends in health care utilization, availability and utilization of resources, monitor disease prevalence, and study the effectiveness of various treatments. By analysing these data, we can provide evidence-based recommendations for healthcare policies and practices. Understanding disparities in health care access and outcomes is essential to achieving health equity. Our group uses advanced statistical techniques to identify disparities by defined cohorts of patients, such as by age or region, allowing policymakers to perceive and potentially address these disparities.
The research activities of our group include both academic topics with the aim of a broader knowledge of areas related to public health and its effective provision, as well as very specific projects focused on narrowly defined technologies, such as diagnostic devices. For example, our team builds comprehensive diagnostic-therapeutic models that allow us to study the economic and clinical outcomes of complex relationships and processes. A significant part of our research is created at the request of professional clinical workplaces and manufacturers of medical technologies. The goal of these projects is usually a rather isolated view of specific technologies.
Within HTA, we have been since 2021 focusing on methods of managed entry of medical technologies. Here we work with leading manufacturers of drugs and medical devices. The goal of our efforts is to help enforce these practices so that even very expensive technologies have a chance to enter the market, while at the same time, there is a fair risk sharing between payers and license holders.
A significant part of our research underway focuses on real clinical practice. Based on data from our own studies or administrative data of payers, we evaluate the effectiveness of therapeutic procedures and their economics.
We are looking for talented individuals to work on interesting multidisciplinary projects in the form of master and doctor theses.