- Research article
- Open Access
Quality of human-computer interaction - results of a national usability survey of hospital-IT in Germany
BMC Medical Informatics and Decision Making volume 11, Article number: 69 (2011)
Due to the increasing functionality of medical information systems, it is hard to imagine day to day work in hospitals without IT support. Therefore, the design of dialogues between humans and information systems is one of the most important issues to be addressed in health care. This survey presents an analysis of the current quality level of human-computer interaction of healthcare-IT in German hospitals, focused on the users' point of view.
To evaluate the usability of clinical-IT according to the design principles of EN ISO 9241-10 the IsoMetrics Inventory, an assessment tool, was used. The focus of this paper has been put on suitability for task, training effort and conformity with user expectations, differentiated by information systems. Effectiveness has been evaluated with the focus on interoperability and functionality of different IT systems.
4521 persons from 371 hospitals visited the start page of the study, while 1003 persons from 158 hospitals completed the questionnaire. The results show relevant variations between different information systems.
Specialised information systems with defined functionality received better assessments than clinical information systems in general. This could be attributed to the improved customisation of these specialised systems for specific working environments. The results can be used as reference data for evaluation and benchmarking of human computer engineering in clinical health IT context for future studies.
The aim of clinical-IT systems is to support the staff in high quality and cost-efficient patient care . It is important to provide the appropriate information, at the appropriate location, to the appropriate individuals and in appropriate time . The added benefit of information technology (IT) in hospitals has steadily grown during the last years due to increasing functionalities and penetration of medical processes. At present IT-systems are getting continuously more complex. Different studies have shown that users adjustments are associated with technology use and innovation acceptance [3, 4]. A positive user attitude towards IT, IT-friendly environment and good communication can have beneficial influence on the system adoption . Therefore, usability and especially the design of dialogues between humans and information systems is one of the most important issues to enable IT in health care . The usability of a product is considered as a precondition of the usefulness of an application . Different studies indicate the absence of usability is one of the main reasons for problems with IT implementations in hospitals [6, 8–12]. The literature describes mostly single projects to analyse usability, for example just for one distinct/single information system or module [13–20].
The subject of the study presented here was to understand the current state of quality of human-computer interaction in the context of a national survey of usability (Usabil-IT) for hospital IT in Germany and to provide a descriptive picture of the present situation. The evaluation focused on effectivity and efficiency  as well as software ergonomics of deployed clinical-IT systems.
Different studies evaluating hospital IT show that usability is analysed best by targeting day to day users of IT-systems [18, 22]. Therefore, the survey focused on participants using IT in day to day hospital work and demonstrates evaluation from different users' perspectives. The aim of the evaluation was also to identify starting points for developing the usability of the IT systems and for further, more detailed evaluation processes in the future.
Due to the fact that the approach of the study was to get an overview of the current situation of usability of clinical-IT in Germany, all IT system users of all systems had the opportunity to evaluate the usability of their primarily used IT-system. Therefore, the management of hospitals in Germany were contacted via e-mail and invited to participate in the survey with their clinical staff. The link to the start page of the survey could be forwarded to the employees. This desired open recruitment with the so called 'snowball-technique' produces a response bias, which has to be accepted from the outset . On the one hand it offers a potentially wide reach and economy of administration, but on the other hand it also includes a tendency for self-selection-bias and relatively low response rates . The variable of interest and the willingness to participate plays an important role in this process . To mitigate the effects of the non-response bias in this kind of internet-survey is not feasible.
The survey was initiated by the scientific working group "Clinical Information Systems" of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) and by the Justus-Liebig-University Gießen (Department of Medical Informatics in Anaesthesia and Intensive Care).
The main focus of this survey was the investigation of human-computer interaction, which is defined by the ISO standard EN ISO 9241-10 [26, 27]. The standard includes seven ergonomic principles (table 1). This part of the study is based on the IsoMetrics inventory, an assessment tool for these principles [22, 28]. The IsoMetrics inventory provides empirically proved internal and external validity as well as the reliability of the results. Due to IsoMetrics' broad extent, the Delphi-Method [29, 30] was used to truncate the questionnaire to the three principles most relevant for clinical-IT. The modified electronic questionnaires reliability was examined in a pre-test in two hospitals.
To survey software effectiveness in addition of human-computer interaction, experts of the GMDS working group "Clinical Information Systems" developed questions focusing on functionality and interoperability in order to measure the effectiveness of clinical information systems (listed in table 2). For all items, closed questions allowed answers on a 5-point Likert scale . With regard to human-computer interaction, three main evaluation criteria were examined: suitability for the task with 15 items, suitability for learning with 8 items and conformity with user expectations with 8 items. From the part of the study which focused on effectiveness 6 items on interoperability and functionality of IT Systems are presented in this paper. For each criterion reliability was verified using Cronbach's alpha, a measure for the internal consistency of a test score for a sample of examinees . Criteria with values of 0.7 or higher are commonly regarded as reliable.
Subjects and setting
Survey participants were asked specifically which IT system they mainly use. The evaluation of software ergonomics and effectiveness focused on the chosen IT-system, which was clearly defined for the respondents. Participants without direct IT contact (e.g. management) were excluded from this part of the survey.
Software ergonomics are always to be evaluated in context of task and situation. Therefore, the comparison of the results with data from other studies which focus on the same topic are important. Furthermore reference data for WinWord (Microsoft, USA) and SAP R/3 (SAP, Germany) of other IsoMetrics studies were integrated in the figures for comparison [22, 33]. Although these references were gained in different studies with different collectives, the standardization of the IsoMetrics inventory allows comparison of the results and offers some sort of framework.
The reference line for Word processor and WinWord in general can be considered as gold standard for a software product with a clearly defined and narrow purpose; in contrast to SAP R/3 which sets a worldwide standard with its broad range of uses. These two references are considered as comparison data by the authors of the IsoMetrics inventory. Both have achieved a significant level of maturity and widespread use through a long development history.
Data acquisition and data analysis
The survey data was acquired with the help of an online survey portal http://www.onlineforschung.org and analyzed using SPSS (V17.0.0, SPSS Inc). Questionnaires with incomplete IsoMetrics items were eliminated. Mean and standard deviation (SD) were calculated for each hospital and category of information system. Within figures mean values are displayed as blue quadrates and standard deviations as blue vertical lines. Added violin plots  show the relative frequency of the data at different values (Figure 1). Mentioned reference values for IsoMetrics figures are displayed as blue line (WinWord) and red line (SAP/R3).
Study coverage data
In May 2009, the management of 2181 hospitals (9020 persons) were contacted via e-mail and invited to participate in the survey with their clinic staff. 4521 persons from 371 hospitals visited the start page of the survey, 1890 dropouts within the first page of the questionnaire were registered. Finally 1003 persons from 158 hospitals completed the entire questionnaire. The comparison of the sample characteristics with those of the population, statistics and data of the Federal Statistical Office in Germany [35, 36], shows that the study is not representative. This is due to the open recruitment which does not allow a controlled population. Therefore a non-responder analysis was not feasible and definitive conclusions are not possible.
For the analysis presented in this paper only questionnaires were used, which had completed the entire software ergonomic questions. The sample characteristics are shown in the table 3.
The results show relevant variations between the different information systems, as well as a large standard deviation. Cronbach's alpha results for suitability for tasks recieved a = 0,944, for suitability for learning a = 0,851, for conformity with user expectations a = 0,883.
Suitability for tasks was best for AIMS, PDMS, Pharmacy IS, LIS and RIS/PACS. Systems for Staff Rosters, Clinical Information Systems and Medical Controlling received a poorer evaluation (Figure 2). Suitability for learning was best for AIMS, PDMS, LIS and ORIS. Systems for Medical Controlling, ERP and Clinical Information Systems received a poorer evaluation (Figure 3). Conformity with user expectations was best for AIMS, PDMS, Pharmacy IS, LIS and RIS/PACS. However, Administrative Information systems, Clinical Information System and Systems for Medical Controlling received lower ratings (Figure 4).
Most systems received similar results for all three dimensions, with the exception of a major variation within ORIS, displaying good conformity with user expectations and suitability for learning, with a lesser conformity in suitability for the tasks. Overall, highly specialised information systems with narrow and well defined functionality such as AIMS, PDMS, Pharmacy IS, LIS, RIS/PACS received better evaluations than possibly less individually customised Clinical Information Systems in general. The poor values for the Medical Controlling systems in all three tests are particularly noteworthy.
The results of the study show that effectiveness in general is evaluated best for PDMS and RIS, while Pharmacy IS received poor results. Most systems have a wide spread distribution of values - especially AIMS, Medical Controlling System and Clinical Information System are conspicuous in this aspect. Coping with routine work is supported best by PDMS and RIS and worst with Clinical Information System (Figure 5). It strikes us, that this issue is rated with positive values in all systems. All important information is presented best with Administrative Information systems and PDMS (Figure 6). Great differences among the diverse systems are presented here. Bad results are achieved by Pharmacy IS and Staff Roster Systems. Especially users of Medical Controlling and Clinical Information systems affirm that there are too many different modules in use - in total contrast to Pharmacy information system users who deny this (Figure 7).
That the same information has to be added in different places is denied for almost all systems - especially for RIS and Pharmacy information system (Figure 8). The ability of automatic data transfers between different systems is evaluated as quite non homogeneous. While PDMS seem to provide this capability, there are low values for staff roster systems and pharmacy systems (Figure 9). The requirement to input data, which already has been entered somewhere else, is not necessary for most of the systems. Users of staff roster systems and pharmacy systems in particular score negative on this statement (Figure 10). In contrast, PDMS and AIMS seem to require redundant data input. It is notable that most systems present a wide distribution of values here.
Answers to study questions
The results of the study show some clear findings. Relevant variations between the different information systems related to the human-computer interaction are presented. The issue of this evaluation was to find out how user-friendly IT systems in German hospitals are and where potential improvements to the efficiency might be possible. Usability evaluation is as a critical dimension for assessing the quality of clinical-IT especially focusing on all end users [37–39].
Our results show, that all examined IT systems meet the demand to support working processes. This is in line with the results of the survey by Fähling et. al.. PDMS and RIS obtain the largest approval while Clinical Information systems perform poorly, although with equal distribution. This might be explained by the wide spectra of use of Clinical Information Systems, while PDMS and RIS are high specialised systems with clearly defined working processes. The low results for Staff Roster Systems in presentation of all important information might be explained by bad availability of data or non-functioning interoperability. Redundant data input is not totally avoidable by any examined IT system, but RIS and Administrative Information Systems seem to handle the problem best. This could be due to the fact that Administrative Information Systems keep record of all primary relevant data and communicate to all other clinical-IT systems. Data transfer is most effective with PDMS, which could be explained by the necessity to consolidate all important data. PDMS has typically high requirements on data integration. Functioning communication and interaction between the systems affects effectiveness immensely. Presenting information to the appropriate person, at the appropriate time in the appropriate display is an important aim of IT in medical fields . Therefore, it is essential that data is transferred from other systems. The reason for the wide spread distribution of especially AIMS and Clinical information systems might be found in considerable quality differences of singular IT products and their implementation within clinics. In some cases needed functions are not implemented, while others are not used by the end users . Health system usability is a significant factor in the implementation success . Moreover, specialist systems in single fields with well-defined and structured usage patterns do better than those with a broad application area. It can be concluded that optimised adaptation to working environments and workflows of those specialised information systems result in optimised human-computer interaction. Most studies on usability of specialised IT-systems show positive evaluation [10, 14, 18, 19]. In contrast, it seems to be much more complicated to design a good human-computer interface in the context of the many and varied tasks of a more generic clinical information system. An example is the different evaluation from users of AIMS and ORIS. AIMS are used in a very structured process by a limited user group. Its users undertake mainly documentation and information tasks. In contrast, the requirements of ORIS are much more complex. In operating theatre planning, much different data of patients, departments, personnel of different professions and specialties, theatre capacity, material and personnel resources have to be taken into account. In addition, documentation isn't generated contemporaneously and its generation cannot be assisted by automatic data capture, as is the case with AIMS. Ash et. al. could show that bad usability has negative influence on the work quality . Efficiency regards the needed effort to achieve certain objectives. The aim of software ergonomics is to analyze and evaluate the usability of user interfaces of interactive computer applications . Results of the best specialised systems (AIMS, PDMS, RIS, LIS, Pharmacy IS) are comparable to common specialised systems like Word processing software  or in the medical field e.g. a decision support system for antimicrobial therapy . But even Clinical Information Systems, with a broad application area, are more suitable for the tasks and for learning and at least equal in conformity with user expectations compared to SAP R/3 . In general, all three aspects "Suitability for the task", "Self-descriptiveness" and "Conformity with users expectations", which have been evaluated in this study for the different clinical-IT systems as basis for good software ergonomic, were rated positive and clearly better than reference data for SAP R/3.
The unexpectedly poor results of information systems for Medical Controlling could also be the result of more demanding users compared to other fields. At the end of the day, efficient oversight of diagnostic related groups (DRG) and consequently the accounting for the patients requires access to all available data. Thus maximal interoperability is needed for a good suitability for tasks. However, the usability of systems for medical controlling should be a focus for further research.
Strengths and limitations of this study
Compared to the number of 2181 hospitals which received our questionnaire, the actual response rate of only 158 hospitals was less than expected, although higher than in similar studies [19, 41]. While the response rate seems quite low, it is acceptable for nondirectional online surveys. Additionally, our dropout rate was much lower than usual for online questionnaires .
Despite the low response rate and potential bias in recruiting participants the survey shows some clear trends. Finally, multivariate analysis could not be performed as planned, because of the low number of participants in many subgroups. The large standard deviation is due to the fact that different clinics with different specialties and activities were examined and expertise among participants and software varied. Consequently, the results do not allow conclusions about individual products, but can permit statements about product groups. Further studies are needed to establish this kind of evaluation practice, as well as to get more detailed results and analysis of subgroups.
This paper dealt with an online-questionnaire study about usability of clinical-IT in Germany. A summary is provided in table 4. The evaluation focused on IT-systems which are already in everyday use in hospitals as most of the studies reviewed by Peute et al. in 2008 do . Fähling et al. could show that IT adds a positive value proposition to the hospitals . The study Usabil-IT acknowledges this value proposition from the users' point of view.
Despite the above mentioned limitations, the largest data base with more than 1000 fully answered questionnaires was compiled. The study shows clear trends in the status of usability of clinical-IT in German hospitals. The results are self-consistent and show that usability is a very important issue considering clinic IT acceptance and usage [3–5, 44]. Therefore, they can be used as reference data for evaluation and benchmarking of user-oriented software engineering for hospital health care IT, which is relevant for the development of hospital IT systems and therefore for clinical practice too. Furthermore the study Usabil-IT covered most of the key performance indicators to benchmark hospital information systems published by Hübner-Bloder and Ammenwerth end of 2009 .
The software ergonomics are mainly evaluated positively which is in line with the results of other studies [19, 41, 46]. The generally acceptable results for software ergonomics in this study do not support the statement by Fähling et al. who emphasises that a lack of usability is one of the main reasons for problems in assignments of clinical-IT.
The usability has been measured in different ways, in this paper the results were presented for software ergonomics and effectiveness differentiated by IT systems. The user satisfaction scores were generally positive with some differences between the systems. This basically positive feedback is related to the results of other studies [19, 47, 48]. It is shown that almost all clinical-IT systems support effective working processes; a gain of added value by hospital IT can be concluded. However, it is notable that most systems have a widespread distribution of values in this aspect. Thus, considerable quality differences of products and implementations in different clinics were detected. Most strikingly, specialised information systems result in more optimised human-computer interaction, while general systems, which have to solve many and varied tasks, get poorer evaluation. This implies that higher integration needs and further improvement for general systems in daily practice are necessary. Also the unexpectedly poor results of information systems for Medical Controlling are astonishing and should be a focus for further research.
Kuhn KA, Guise DA: From hospital information systems to health information systems. Problems, challenges, perspectives. Methods Inf Med. 2001, 40: 275-287.
Winter AF, Ammenwerth E, Bott OJ, Brigl B: Strategic information management plans: the basis for systematic information management in hospitals. Int J Med Inform. 2001, 99-109.
Yarbrough AK, Smith TB: Technology acceptance among physicians: a new take on TAM. Med Care Res Rev. 2007, 64: 650-672. 10.1177/1077558707305942.
Lium JT, Laerum H, Schulz T, Faxvaag A: From the front line, report from a near paperless hospital: mixed reception among. J Am Med Inform Assoc. 2006, 13: 668-675. 10.1197/jamia.M2108.
Yusof MM, Kuljis J, Papazafeiropoulou A, Stergioulas LK: An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit). Int J Med Inform. 2008, 77: 386-398. 10.1016/j.ijmedinf.2007.08.011.
Fähling J, Köbler F, Leimeister JM, Krcmar H: Wahrgenommener Wert von IT in Krankenhäusern - eine empirische Studie. Business Services: Konzepte, Technolgien, Anwendungen. 2009, 709-718.
Nielsen J: Usability engineering. Cambridge: Academic Press, 1993-
Smelcer JB, Miller-Jacobs H, Kantrovich L: Usability of Electronic Medical Records. Journal of usability studies. 2009, 70-84.
Ash JS, Berg M, Coiera E: Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. J Am Med Inform Assoc. 2004, 11: 104-112.
Stürzlinger H, Hiebinger C, Pertl D, Traurig P: Computerized Physician Order Entry - Wirksamkeit und Effizienz elektronischer Arzneimittelverordnung mit Entscheidungsunterstützungssystemen. GMS Health Technology Assessment. 2009, 5:
Bleich HL, Slack WV: Reflections on electronic medical records: when doctors will use them and when they will not. Int J Med Inform. 2010, 79: 1-4. 10.1016/j.ijmedinf.2009.10.002.
Ludwick DA, Doucette J: Adopting electronic medical records in primary care: Lessons learned from health information sytems implementation experience in seven countries. Int J Med Inform. 2009, 22-31.
Bürkle T, Ammenwerth E, Prokosch HU, Dudeck J: Evaluation of clinical information systems. What can be evaluated and what cannot?. J Eval Clin Pract. 2001, 7: 373-385. 10.1046/j.1365-2753.2001.00291.x.
Röhrig R, Beutefuhr H, Hartmann B, Niczko E, Quinzio B, Junger A, Hempelmann G: Summative software evaluation of a therapeutic guideline assistance system for empiric antimicrobial therapy in ICU. J Clin Monit Comput. 2007, 21: 203-210. 10.1007/s10877-007-9073-0.
Kuosmanen L, Jakobsson T, Hyttinen J, Koivunen M, Valimaki M: Usability evaluation of a web-based patient information system for individuals. J Adv Nurs. 2010, 66: 2701-2710. 10.1111/j.1365-2648.2010.05411.x.
Ammenwerth E, Ehlers F, Kutscha A, Kutscha U, Eichstadter R, Resch F: Supporting Patient Care by Using Innovative Information Technology. A case Study from Clinical Psychiatry. Practical Disease Management. 2002, 10: 479-487.
Khajouei R, de JD, Jaspers MW: Usability evaluation of a computerized physician order entry for medication. Stud Health Technol Inform. 2009, 150: 532-536.
Sánchez A: A chronic wound healing information technology system: design, testing and evaluation in clinic. Electronic Journal of Information Systems Evaluation. 2004, 7: 57-66.
Oroviogoicoechea C, Watson R: A quantitative analysis of the impact of a computerisedinformation system on nurses' clinical pratice using a realistic evaluation framework. Int J Med Inform. 2009, 839-849.
McKinlay A, McVittie C, Reiter E: Design Issues for Socially Intelligent User Interfaces. A Discourse Analysis of a Data-to-text System for Summarizing Clinical Data. Methods Inf Med. 2010, 379-387.
Herczeg M: Software-Ergonomie: Theorien, Modelle und Kriterien für gebrauchstaugliche Computersysteme. 2009, München: Oldenbourg Wissenschaftsverlag GmbH, 3
Hamborg KC, Vehse B, Bludau HB: Questionaire Based Usability Evaluation of Hospital Information Systems. Electronic Journal of Information Systems Evaluation. 2004, 7: 21-30.
Reips U: Standards for Internet-Based Experimenting. Experimental Psychology. 2002, 49: 243-256. 10.1026//1618-3220.127.116.11.
Horsky J, McColgan K, Pang JE, Middelton B: Complementary methods of system usability evaluation: Surveys and observations during software design and development cycles. J Biomed Inform. 2010, 782-790.
Oberski D: Self-selection bias versus nonresponse bias in the Perceptions of Mobility survey. A comparison using multiple imputation. The Netherlands Institute for Social Research | scp. 2008, University of Tilburg and esade Barcelona
European Committee for Standardization: Ergonomic requirements for office workwith visual display terminals (VTDs): Dialogue principles. 1996
Svanaes D, Das A, Alsos OA: The Contextual Nature of Usability and its Relevance to Medical Informatics. Stud Health Technol Inform. 2008, 541-546.
Gediga GHKDI: The IsoMetrics usability inventory: an operationalization of ISO 9241-10 supporting summative and formative evaluation of software systems. Behaviour & Information Technology. 1999, 151-164.
Dalkey NC: The Delphi Method: An Experimantal Study of group opinion. 1969, [http://www.rand.org/pubs/research_memoranda/2005/RM5888]
Linestone HA, Turoff M: The Delphi Method: Techniques and Applications. 2002, [http://is.njit.edu/pubs/delphibook/]
Bortz J, Döring N: Forschungsmethoden und Evaluation (Research methods and evaluation): für Human- und Sozialwissenschaftler. 2006, Heidelberg: Springer-Verlag, 4
Cronbach LJ: Coefficient alpha and the internal structure of tests. Psychometrika. 1951, 297-334.
Gruber C: Arbeitseffizienz im Büro. Psychische Einflüsse auf SAP R/3 unterstützte Arbeitsprozesse: [online]. 2000, University of Würzburg, Master thesis, [http://www.clemens-gruber.de/psychologie/sapr3/]
Majeed RW: violinmplot: Combination of violin plot with mean and standard deviation. [http://cran.r-project.org/web/packages/violinmplot/]
Statistisches Bundesamt: Gesundheit - Grunddaten der Krankenhäuser. Wiesbaden. 2008
Statistisches Bundesamt: Gesundheit - Personal. Wiesbaden. 2009
Kastner M, Lottrige D, Straus SE: Usability evaluation of clinical decision support tool for osteoporosis disease management. Implementation Science. 2010, 96-
Ash JS, Sittig DF, Dykstra R, Campbell E, Guappone KP: Exploring the unintended consequences of computerized physician order entry. Stud Health Technol Inform. 2007, 129: 198-202.
Pearce C, Shachak A, Kushiniruk A, Lusignan S: Usability: a critical dimension for assessing the quality of clinical systems. Informatics in Primary Care. 2009, 195-198.
Fowler M: Review of the XP Conference 2002. Italy and Standish Group. CHAOS Report. 1995
Hübner U, Ammenwerth E, Flemming D, Schaubmayr C, Sellemann B: IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing. BMC Med Inform Decis Mak. 2010, 10: 8-10.1186/1472-6947-10-8.
Birnbaum MH: Human research and data collection via the internet. Annu Rev Psychol. 2004, 55: 803-832. 10.1146/annurev.psych.55.090902.141601.
Peute LW, Spithoven R, Bakker PJ, Jaspers MW: Usability studies on interactive health information systems; where do we stand?. Stud Health Technol Inform. 2008, 136: 327-332.
Koivunen M, Valimaki M, Patel A, Knapp M, Hatonen H, Kuosmanen L, Pitkanen A, Anttila M, Katajisto J: Effects of the implementation of the web-based patient support system on staff's. Scand J Caring Sci. 2010, 24: 592-599. 10.1111/j.1471-6712.2009.00755.x.
Hübner-Bloder G, Ammenwerth E: Key performance indicators to benchmark hospital inforamtion systems - a delphi study. Methods Inf Med. 2009, 48: 508-518. 10.3414/ME09-01-0044.
Verband der Hersteller von IT-Lösungen für das Gesundheitswesen e.V: VHitG - Branchenbarometer. 2008, [http://www.vhitg.de] . Markterhebung zur Bewertung und Verteilung von IT in den deutschen Krankenhäusern
Laerum H, Ellingsen G, Faxvaag A: Doctors' use of electronic medical records systems in hospitals: cross sectional. BMJ. 2001, 323: 1344-1348. 10.1136/bmj.323.7325.1344.
Köbler F, Fähling J, Leimeister JM, Krcmar H: How german hospitals govern it - an empirical exploration. 17th European Conference on Information Systems. 2009
Schneider W: Ergonomische Gestaltung von Benutzungsschnittstellen: Kommentar zur Grundsatznorm DIN EN ISO 9241-110. 2008, Berlin: Beuth, 2
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6947/11/69/prepub
We would like to express special thanks to Dominik Leiner for the support via http://www.onlineforschung.de, TU Osnabrück for the IsoMetrics license, Jörg Engel, Michael Knall, Markus Meister, Michael Musick, and Hans-Ulrich Prokosch for reviewing the questionnaire and Brendan Whelan for translating and reviewing the manuscript.
The presented results are part of the national survey "Usabil-IT", which was financially supported by the German Association of the Healthcare IT Industry (VHitG). The VHitG did not have any influence on the results or the conclusions of the survey. The survey follows the international code for market and social research (ICC/ESOMAR).
BBB carried out the study conception and design and performed the acquisition and interpretation of data and drafted the manuscript. RWM performed the statistical analysis, constructed the graphics and drafted the articles technical parts. TB, KK, US, CS and CV were involved in conception of the questionnaire as well as in the interpretation and discussion of the results. RR conceived of the study and participated in the design of the study. He was also involved in drafting the article. All authors read and approved the final manuscript.
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Bundschuh, B.B., Majeed, R.W., Bürkle, T. et al. Quality of human-computer interaction - results of a national usability survey of hospital-IT in Germany. BMC Med Inform Decis Mak 11, 69 (2011). https://doi.org/10.1186/1472-6947-11-69
- Clinical Information System
- German Hospital
- User Expectation
- Wide Spread Distribution
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