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Due to the emerging evidence of health IT as opportunity and risk for clinical workflows, health IT must undergo a continuous measurement of its efficacy and efficiency. IT-benchmarks are a proven means for providing this information. The aim of this study was to enhance the methodology of an existing benchmarking procedure by including, in particular, new indicators of clinical workflows and by proposing new types of visualisation. Drawing on the concept of information logistics, we propose four workflow descriptors that were applied to four clinical processes. General and specific indicators were derived from these descriptors and processes. 199 chief information officers (CIOs) took part in the benchmarking. These hospitals were assigned to reference groups of a similar size and ownership from a total of 259 hospitals. Stepwise and comprehensive feedback was given to the CIOs. Most participants who evaluated the benchmark rated the procedure as very good, good, or rather good (98.4%). Benchmark information was used by CIOs for getting a general overview, advancing IT, preparing negotiations with board members, and arguing for a new IT project.
Going Mobile : An Empirical Model for Explaining Successful Information Logistics in Ward Rounds
(2018)
Background: Medical ward rounds are critical focal points of inpatient care that call for uniquely flexible solutions to provide clinical information at the bedside. While this fact is undoubted, adoption rates of mobile IT solutions remain rather low.
Objectives: Our goal was to investigate if and how mobile IT solutions influence successful information provision at the bedside, i.e. clinical information logistics, as well as to shed light at socio-organizational factors that facilitate adoption rates from a user-centered perspective.
Methods: Survey data were collected from 373 medical and nursing directors of German, Austrian and Swiss hospitals and analyzed using variance-based Structural Equation Modelling (SEM).
Results: The adoption of mobile IT solutions explains large portions of clinical information logistics and is in itself associated with an organizational culture of innovation and end user participation.
Conclusion: Results should encourage decision makers to understand mobility as a core constituent of information logistics and thus to promote close end-user participation as well as to work towards building a culture of innovation.
Current frameworks postulate the success of health IT innovations to be determined by the professionalism of the information management (PIM). Still, empirical knowledge about PIM is scarce up until today. This study seeks to answer three research questions: (1.) How can PIM be measured in a reliable and valid way, (2.) how pronounced is PIM in German hospitals and (3.) do hospital characteristics have an impact on the degree of PIM? Based on the results of an expert workshop and frameworks for information management (IM) items for a PIM inventory were developed and the inventory sent to 1349 chief information officers of German hospitals. A principle component analysis based on the responses of 196 hospitals confirmed the three components that had been proposed by the frameworks: the strategic, the tactical and the operational level. The full inventory implied satisfying reliability and allowed a PIM composite-score to be calculated. The PIM scores for strategic and tactical IM were found to be far lower than for operational IM which hints at strong deficits in these areas. A stepwise regression model indicated that the degree of PIM significantly increased with the size of the hospital, which had been expected and hints the validity of the PIM inventory. This tool offers potentials for hospitals to classify and improve their IM.
CIOs' innovation capability is regarded as a precondition of successful HIT adoption in hospitals. Based on the data of 142 CIOs, this study aimed at identifying antecedents of perceived innovation capability. Eight features describing the status quo of the hospital IT management (e.g. use of IT governance frameworks), four features of the hospital structure (e.g. functional diversification) and four CIO characteristics (e.g. duration of employment) were tested as potential antecedents in an exploratory stepwise regression approach. Perceived innovation capability in its entirety and its three sub-dimensions served as criterion. The results show that CIOs' perceived innovation capability could be explained significantly (R2=0.34) and exclusively by facts that described the degree of formalism and structure of IT management in a hospital, e.g. intensive and formalised strategic communication, the existence of an IT strategy and the use of IT governance frameworks. Breaking down innovation capability into its constituents revealed that “innovative organisational culture” contributed to a large extent (R2=0.26) to the overall result sharing several predictors. In contrast, “intrapreneurial personality” (R2=0.11) and “openness towards users” (R2=0.18) could be predicted less well. These results hint at the relationship between working in a well-structured, formalised and strategy oriented environment and the overall feeling of being capable to promote IT innovation.
Health IT adoption research is rooted in Rogers' Diffusion of Innovation theory, which is based on longitudinal analyses. However, many studies in this field use cross-sectional designs. The aim of this study therefore was to design and implement a system to (i) consolidate survey data sets originating from different years (ii) integrate additional secondary data and (iii) query and statistically analyse these longitudinal data. Our system design comprises a 5-tier-architecture that embraces tiers for data capture, data representation, logics, presentation and integration. In order to historicize data properly and to separate data storage from data analytics a data vault schema was implemented. This approach allows the flexible integration of heterogeneous data sets and the selection of comparable items. Data analysis is prepared by compiling data in data marts and performed by R and related tools. IT Report Healthcare data from 2011, 2013 and 2017 could be loaded, analysed and combined with secondary longitudinal data.
The establishment of successful clinical information logistics (CIL) within the care processes is one of the main objectives of strategic health IT management in hospitals. While technical realisations in terms of useful, usable and interoperable IT solutions are essential precursors of CIL, there is limited empirical research on what socio-organisational factors underlie an innovation-friendly culture and how they can affect successful information provision. We applied factor analysis on survey data from 403 clinical directors from Germany, Austria and Switzerland and used the dimensions identified to explain the level of CIL with ordered logistic regression analysis. The intensity of collaboration and exchange with the IT department as well as the degree of executive IT leadership showed to be strongly associated with better CIL while personal views and attitudes of clinical directors were not. Analysing country differences revealed the degree of the exchange with the IT department to be significantly lower in German hospitals. This points at a potential strategic lever for German hospital executives to focus on.
The workflow-oriented dissemination of electronic patient data is a central goal of IT deployment in hospitals. Against this background, the present study examines two research questions: (1.) Are there differences in the availability of electronic patient data (AEPD) between different clinical workflows and data types and (2.) which structural and organizational factors determine AEPD? Based on a Germany wide hospital survey, AEPD was assessed along six clinical workflows. While AEPD was lowest for ward rounds, discharge showed the highest AEPD with pre- and post-surgery processes ranging in between. With regard to the data types analyzed, patient demographics and observation findings obtained the highest AEPD scores. Electrophysiological results, checklists and warnings were less common electronically and received lower AEPD scores. Multiple linear regression analysis resulted in a significant model that explained 34.4% of the variance of AEPD. Large hospitals and those with a professional information management, a high health IT related innovation culture and a nursing informatics officer possess higher AEPD scores and thus have better clinical information logistics mechanisms at their command.
Although user participation may facilitate the realisation of IT innovations, various literature analyses show only minimal to moderate evidence for such effects possibly due to disregard of mediating factors. Against this background, this study examines the extent to which joint intrapreneurship of clinical leaders and IT leaders as well as a distinct innovation culture mediate the effect of user participation on hospitals’ IT innovativeness. IT innovativeness was measured by the availability and usability of IT functions and by the perceived ‘innovative power’ of a hospital. An empirical model was developed and tested with data from 168 clinical leaders and IT leaders who participated pairwise in a survey representing 84 German hospitals. Three parallel mediation analyses indicated that the participation of users could only lead to IT innovativeness if they were accompanied by intrapreneurial leadership on the part of clinical directors and IT leaders and if a pronounced innovation culture prevailed.
Background: IT is getting an increasing importance in hospitals. In this
context, major IT decisions are often made by CEOs who are not necessarily IT
experts. Objectives: Therefore, this study aimed at a) exploring different types of IT
decision makers at CEO level, b) identifying hypotheses if trust exists between these
different types of CEOs and their CIOs and c) building hypotheses on potential
consequences regarding risk taking and innovation. Methods: To this end, 14
qualitative interviews with German hospital CEOs were conducted to explore the
research questions. Results: The study revealed three major types: IT savvy CEOs,
IT enthusiastic CEOs and IT indifferent CEOs. Depending on these types, their
relationship with the CIO varied in terms of trust and common language. In case of
IT indifferent CEOs, a potential vicious circle of lack of IT knowledge, missing trust,
low willingness to take risks and low innovation power could be identified.
Conclusion: In order to break of this circle, CEOs seem to need more IT knowledge
and / or greater trust in their CIO.