Why Rigid Process Management Technology Hampers Computerized Support of Healthcare Processes

Healthcare processes are characterized by frequent changes, numerous exceptions and complex deviations from the norm. Despite the increasing adoption of process-aware healthcare information systems (PAHIS), there still exist numerous issues related to the handling of exceptions in clinical processes that are not effectively supported in contemporary PAHIS. This paper presents preliminary results of a research whose goal is to get a deeper understanding of clinical work practices and to better understand how IT process support should look like for them. Altogether, adequate handling of failure and exceptions in PAHIS, while still enabling a certain level of control and assistance to clinical staff

Benefits and barriers related to eai adoption: the case of a healthcare organisation

Enterprise Application Integration (EAI) technology has emerged to overcome integration problems at different levels such as process and data. Although, many public and private organisations have successfully implemented EAI solutions, the adoption of EAI in healthcare organisations is slow and problematic. The research that has been published in this area remains limited and has mainly focused on factors (e.g. benefits, barriers etc) that influence the decision making process for EAI adoption in healthcare. Notwithstanding, the implications of EAI have yet to be assessed, leaving scope for timeliness and novel research. The main contribution of this paper is the identification of the benefits and barriers associated with the EAI adoption in healthcare. In addition, this research has identified and mapped healthcare actors to these benefits and barriers. Therefore, it supports the decision making process as it results in more informed practices and thus speeds up EAI adoption in healthcare. This is of high importance as 23725 human lives are lost in UK every year due to the limitations of the non-integrated healthcare Information Technology (IT) infrastructures. The proposed approach is significant and novel as it (a) improves the realisation of EAI adoption benefits and barriers, (b) enhances the analysis of EAI adoption in healthcare by incorporating an actororiented approach and (c) facilitates healthcare organisations and decision-makers in realizing EAI adoption benefits and barriers. Thus, it significantly contributes to the body of knowledge and practice in this area. Thus, it provides sufficient support to the management and speeds up the adoption process

Workflow Management Systems and ERP Systems: Differences, Commonalities, and Applications

Two important classes of information systems, Workflow Management Systems(WfMSs) and Enterprise Resource Planning (ERP) systems, have been used to support e-business process redesign, integration, and management. While both technologies can help with business process automation, data transfer, and information sharing, the technological approach and features of solutions provided by WfMS and ERP are different. Currently, there is a lack of understanding of these two classes of information systems in the industry and academia, thus hindering their effective applications. In this paper, we present a comprehensive comparison between these two classes of systems. We discuss how the two types of systems can be used independently or together to develop intra- and inter-organizational application solutions. In particular, we also explore the roles of WfMS and ERP in the next generation of IT architecture based on web services. Our findings should help businesses make better decisions in the adoption of both WfMS and ERP in their e-business strategies

Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

[EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on probabilistic data quality assessment was applied to the historic monthly-batched admission data of Hospital La Fe Valencia, Spain from 2010 to 2016. Routine healthcare data with a complete EHR was expanded by processed variables such as the Charlson Comorbidity Index. Results Four Process-Reengineering interventions were detected by quantifiable effects on the EHR: (1) the hospital relocation in 2011 involved progressive reduction of admissions during the next four months, (2) the hospital services re-configuration incremented the number of inter-services transfers, (3) the care-services re-distribution led to transfers between facilities (4) the assignment to the hospital of a new area with 80,000 patients in 2015 inspired the discharge to home for follow up and the update of the pre-surgery planned admissions protocol that produced a significant decrease of the patient length of stay. Discussion TVA provides an indicator of the effect of process re-engineering interventions on healthcare practice. Evaluating the effect of facilities¿ relocation and increment of citizens (findings 1, 3¿4), the impact of strategies (findings 2¿3), and gradual changes in protocols (finding 4) may help on the hospital management by optimizing interventions based on their effect on EHRs or on data reuse. Conclusions The effects on hospitals EHR due to process re-engineering interventions can be evaluated using the TVA methodology. Being aware of conditioned variations in EHR is of the utmost importance for the reliable reuse of routine hospitalization data.F.J.P.B, C.S., J.M.G.G. and J.A.C. were funded Universitat Politecnica de Valencia, project "ANALISIS DE LA CALIDAD Y VARIABILIDAD DE DATOS MEDICOS". www.upv.es. J.M.G.G.is also partially supported by: Ministerio de Economia y Competitividad of Spain through MTS4up project (National Plan for Scientific and Technical Research and Innovation 2013-2016, No. DPI2016-80054-R); and European Commission projects H2020-SC1-2016-CNECT Project (No. 727560) and H2020-SC1-BHC-2018-2020 (No. 825750). The funders did not play any role in the study design, data collection and analysis, decision to publish, nor preparation of the manuscript.Perez-Benito, FJ.; Sáez Silvestre, C.; Conejero, JA.; Tortajada, S.; Valdivieso, B.; Garcia-Gomez, JM. (2019). Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years. PLoS ONE. 14(8):1-19. https://doi.org/10.1371/journal.pone.0220369S119148Aguilar-Savén, R. S. (2004). Business process modelling: Review and framework. International Journal of Production Economics, 90(2), 129-149. doi:10.1016/s0925-5273(03)00102-6Poulymenopoulou, M. 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New approach for resource allocation in digital healthcare 4.0

[EN] The examination and automation opportunities in healthcare processes, which aims at reducing patient journey and their waiting time, while increasing the utilization of medical equipment as well as monitoring patients. Waiting times are playing a significant role in the total process time of patient care. One of the main reasons is the insufficient resource allocation. This research presents a methodological improvement which supports decision making in digital health processes. The current research provides a methodology that makes weekly human resource scheduling more efficient than before. With the combination of process mining and operations research, we developed a weighted forecast for the probable number of patients. During the research we processed historical data as well as we identified the bottlenecks in the examined health process. Furthermore, we took the causality into account. In today’s fast-paced societies, IT-based solutions are more and more frequently used in healthcare, with the aim of reducing risks and increase patient satisfaction. The method created by us offers a fast, precise and efficient solution to decision making in digital health processes.Kocsi, B.; Pusztai, L.; Budai, I. (2019). New approach for resource allocation in digital healthcare 4.0. En Proceedings 5th CARPE Conference: Horizon Europe and beyond. Editorial Universitat Politècnica de València. 244-251. https://doi.org/10.4995/CARPE2019.2019.10280OCS24425

Examining Knowledge Management Enabled Performance for Hospital Professionals: A Dynamic Capability View and the Mediating Role of Process Capability

Healthcare organizations are essentially associated with highly knowledge-intensive property, and hospital professionals are key to providing high-quality care to patients. KM-enabled performance for hospital professionals is the major concern of senior management. The literature has generally argued for a process-based approach for KM-enabled performance in which process capabilities mediate the link between knowledge resources and performance. According to the knowledge-based view, KM-enabled performance should be rooted in the identification of knowledge resources, including knowledge assets and capabilities. Further, the concept of dynamic capabilities defines an interaction feature between knowledge assets and capabilities. Next, KM-enabled performance is generally defined to include both financial and patient performance. Based on the dynamic capability view and the mediating role of process capability, this research thus proposes a novel research model for exploring KM-enabled performance for hospital professionals, which this includes three major components: interaction between hospital knowledge assets and capabilities, hospital process capabilities, and hospital performance. The empirical results indicate that the model of KM-enabled performance is well fitted with these components, and hospital professionals are closely associated with KM-enabled performance in providing high-quality care