In this research we present a model for medication adherence from information systems and technologies (IS/IT) perspective. Information technology applications for healthcare have the potential to improve cost-effectiveness, quality and accessibility of healthcare. To date, measurement of patient medication adherence and use of interventions to improve adherence are rare in routine clinical practice. IS/IT perspective helps in leveraging the technology advancements to develop a health IT system for effectively measuring medication adherence and administering interventions. Majority of medication adherence studies have focused on average medication adherence. Average medication adherence is the ratio of the number of doses consumed and the number of doses prescribed. It does not matter in which order or pattern patients consume the dose. Patients with enormously diverse dosing behavior can achieve the same average levels of medication adher­ence. The same outcomes with different levels of ad­herence raise the possibility that patterns of adherence affect the effectiveness of medication adherence. We propose that medication adherence research should utilize effective medication adherence (EMA), derived by including both the pattern and average medication adherence for a patient. Using design science research (DSR) approach we have developed a model as an artifact for smart interventions. We have leveraged behavior change techniques (BCTs) based on the behavior change theories to design smart intervention. Because of the need for real time requirements for the system, we are also focusing on hierarchical control system theory and reference model architecture (RMA). The benefit of using this design is to enable an intervention to be administered dynamically on a need basis. A key distinction from existing systems is that the developed model leverages probabilistic measure instead of static schedule. We have evaluated and validated the model using formal proofs and by domain experts. The research adds to the IS knowledge base by providing the theory based smart interventions leveraging BCTs and RMA for improving the medication adherence. It introduces EMA as a measurement of medication adherence to healthcare systems. Smart interventions based on EMA will further lead to reducing the healthcare cost by improving prescription outcomes.

This diploma thesis examines the impact of information and communication technologies on the current form of air transport process. The technology is now a key factor of progress in this sphere. This diploma thesis aims to prove this claim and describes the examples of technology impact in the activities of participants in air transport (airlines, airports and passengers) as well as related changes in their behavior.

The dissertation thesis focuses on information systems and communication technologies and ways they are provided (sourced) in healthcare. The aim of this dissertation thesis is to design and verify a model of IS/ICT sourcing strategy for healthcare as a factor leading to the improvement of patient care, taking into account different categories of healthcare facilities and other specifics resulting from the application in medicine. The introductory section of the thesis (Section A) defines the areas of health care and identifies their specifics. Moreover, categories of healthcare facilities are defined and therapeutic, nursing and IS/ICT processes are identified. Sourcing is defined for the needs of the designed sourcing strategy model and the current trends are analysed as well as the offered outsourcing services. In the next section of the thesis (Section B), requirements on the IS/ICT sourcing strategy model are defined. Theories of sourcing strategies are analysed including assessment of the current practices of healthcare facilities. Identification of specific factors affecting sourcing in healthcare is an essential part of this section. The most important section of the thesis is a design of the IS/ICT sourcing strategy model and its verification in practice at a real healthcare facility, which is described in the final part (Section C). The designed model employs two layers to cover the whole spectrum of healthcare facilities. The base layer defines the types of objects used in developing the sourcing strategy. The specific layer takes into consideration the differences between the various categories of healthcare facilities and provides the actual implementation. Successful implementation of the model including its two layers was achieved in an independent outpatient healthcare facility.