0000000000213427
AUTHOR
Juris Barzdins
showing 5 related works from this author
The Impact of Prescribed Dosage Assumptions on the Evaluation of Adherence and Persistence to Medication in Patients After Acute Myocardial Infarction
2021
Medication adherence is a significant problem in public health. Prescription-level pharmacy databases have great potential for monitoring actual drug adherence patterns at the healthcare system level. Many research papers have reported adherence estimates in different settings and populations. However, comparison between studies is not always straightforward due to different approaches taken when computing adherence. A crucial component to accurately estimate adherence is the availability of days’ supply information for each dispensing event. Reasonable assumptions regarding medication dosage have to be made, when this information is not available. In this study, we evaluate adherence and p…
Facilitation of Health Professionals Responsible Autonomy with Easy-to-Use Hospital Data Querying Language
2018
Support for the development of responsible autonomy as opposite to management that is based on direct control is found to be by far more effective approach in healthcare management, especially when it concerns physicians as the most influential group of health professionals. It is therefore important to obtain a process-oriented knowledge system where physicians would be able to autonomously answer questions which are outside the scope of pre-made direct control reports. However, the ad-hoc data querying process is slow and error-prone due to inability of health professionals to access data directly without involving IT experts. The problem lies in the complexity of means used to query data…
Self-service Ad-hoc Querying Using Controlled Natural Language
2016
The ad-hoc querying process is slow and error prone due to inability of business experts of accessing data directly without involving IT experts. The problem lies in complexity of means used to query data. We propose a new natural language- and semistar ontology-based ad-hoc querying approach which lowers the steep learning curve required to be able to query data. The proposed approach would significantly shorten the time needed to master the ad-hoc querying and to gain the direct access to data by business experts, thus facilitating the decision making process in enterprises, government institutions and other organizations.
P5246Nationwide linked administrative data study to explore the variations in statistical classification, management and 30-day mortality of acute my…
2019
Abstract Background According to statistics of Organisation for Economic Cooperation and Development (OECD) Latvia has one of the highest 30-day mortality for acute myocardial infarction (AMI). The output data used in the calculation of this indicator was analysed at a hospital level to explain the causes of it. Methods Linked to Causes of death registry administrative reimbursement system data from 2014 to 2017 were analysed. Defined exclusion criteria were applied and 11675 emergency AMI admissions were indexed. As evaluation of the inter-hospital differences in non-ST elevation myocardial infarction (NSTEMI) revealed significant inconsistency in statistical classification of non-ST eleva…
Modeling and Query Language for Hospitals
2013
So far the traditional process modeling languages have found a limited use in the hospital settings. One of the reasons behind this delay has been the lack of clear definition of the sequence of activities that are carried out in the hospital. We propose a new modeling language (as a profile of UML Class diagrams) that captures all the useful features from various UML diagrams and can be used in modeling of the hospitals. Based on the modeling language, we have developed an easy-to-perceive graphical query language, which allows the physicians to retrieve directly from the various hospital databases information they need to better understand the flow of clinical processes.