Healthc Inform Res Search

CLOSE


Healthc Inform Res > Volume 18(2); 2012 > Article
Chae: Management Issues in Healthcare Information Technology
Electronic medical record (EMR) and clinical decision support systems (CDSS) are being increasingly adopted by hospitals in Korea with the evolution of healthcare information technology (HIT). The adoption rate of EMR had greatly increased from 21.4% in 2005 to 77.3% in 2010. The adoption of CDSS had also greatly increased from almost 0% in 2005 to 27.3% in 2010 [1]. The benefits of these systems include a reduction of the report turnaround time, fewer medication errors, a reduction of adverse drug effects, and many others [2]. As these systems can have a profound impact on the quality of patient care and the efficiency of hospital administration, management issues such as their acceptance and use by physicians, nurses, and managers became crucial.
Several theoretical models have been developed to explain user acceptance and other management issues in HIT. The most prominent model of user acceptance is the technology acceptance model [3]. This model states that a user's attitude towards a certain technology depends on the perceived usefulness of that technology and on its perceived ease of use. Attitude and perceived usefulness then jointly predict a user's intention to use that technology. Because physicians have a large degree of professional autonomy and are considered to make technology acceptance decisions independently, several studies have focused on physicians' acceptance of EMR [4], CDSS [5], and a picture archiving and communication system (PACS) [6]. Pynoo et al. [7] investigated physicians' PACS acceptance levels on three occasions (before, shortly after and one year after the introduction of PACS). They used the unified theory of acceptance and use of technology model [8], which extended the technology acceptance model by adding social influence and facilitating conditions as direct predictors of user acceptance. Social influence refers to perceived norms in the social environment concerning the use of a technology; and facilitating conditions refer to objective factors that facilitate the use of a technology, such as training, support and compatibility between the new and existing systems.
Another related model for management issue is the information system (IS) success model by DeLone and McLean [9]. They included user satisfaction in addition to usage (including user acceptance) in their IS success model because user satisfaction is an alternative measure of system value in cases of obligatory use. They subdivided success measures of IS into six distinct categories: 1) system quality; 2) information quality; 3) usage; 4) user satisfaction; 5) individual impact; and 6) organizational impact. Within each category, several attributes could contribute to success. The information processing system itself is assessed with system quality attributes (e.g., usability, accessibility, ease of use). Information quality attributes (e.g., accuracy, completeness, legibility), concern the input and output of the system. Usage refers to system usage or information usage after user accepted the system. In their view, system quality and information quality individually and jointly affect usage and user satisfaction. Individual impact is a measure of the effect of the system or the information on users' behavior, and attributes can be information recall or the frequency of data retrieval or data entry. Organizational impact refers to the effects of the system on organizational performance. The IS success model has also been widely applied in HIT to identify the factors influencing user satisfaction in the areas of computerized physician entry system (CPOE) [10], clinical information systems (CIS) [11], enterprise resource planning (ERP) [12], hospital information systems [13], and CDSS [14]. DeLone and McLean [15] updated their success model by adding a service quality dimension. Service quality measure includes: up-to-date hardware and software, a dependable system, prompt user support, and user training. Since user support and user training are important factors for influencing physician acceptance, there is a need for more study on the updated IS success model for HIT.
The most frequent format in the related literature on management issues is a one-shot approach, in which user acceptance or satisfaction is typically assessed only at one moment in time. However, Rogers [16] suggested that individual adoption is not an instantaneous act, but it is a process, which occurs over time. In his diffusion of innovation theory, individual adoption can be conceptualized as a five-stage process involving knowledge, persuasion, decision, implementation, and confirmation. The diffusion process is influenced by the individuals' perceptions of the innovation at the persuasion stage: relative advantage, compatibility, complexity, etc. When a new IT is introduced, user must first be aware that an innovation exists and must be persuaded that the new IT is beneficial. At the decision stage, the individual decides whether adopt or reject. After the implementation stage, the individual then confirms whether to continue to adopt or to discontinue. Because physicians' acceptance is so important to the success of CIS, the diffusion of innovation theory has been applied to assess the adoption process of physicians before and after the introduction of healthcare IS such as PACS [7], CIS [17], and IS for a public health center [18].
As new ITs are introduced, these management issues also changed. In an effort to effectively respond to rapidly changing IT, the Society for Information Management (SIM) in the United States have conducted surveys on management issue changes due to the development of new IT every three years from early 1980s [19,20]. Based on the SIM survey framework, Kim et al. [21] identified management issues of HIT in Korea using the Delphi method in two surveys and interviewed managers of hospital information systems in 1999. Kwak et al. [22] also surveyed the management issues of HIT in 2005 and compared their results with those of 1999.
There are many benefits of such surveys in HIT management. IS managers can interpret trends in HIT and assess the impacts on their organization in the face of rapid changes in IT, such as u-health and mobile health technology. Researchers and educators can use the survey results to improve their understanding of critical managerial issues and to educate students in healthcare informatics. Accordingly, we encourage you to conduct such a survey on current managerial issues and submit the related research papers to HIR.

References

1. Chae YM, Yoo KB, Kim ES, Chae H. The adoption of electronic medical records and decision support systems in Korea. Healthc Inform Res 2011;17:172-177. PMID: 22084812.
crossref pmid pmc
2. Bates DW, Teich JM, Lee J, Seger D, Kuperman GJ, Ma'Luf N, Boyle D, Leape L. The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc 1999;6:313-321. PMID: 10428004.
crossref pmid pmc
3. Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. J Manag Sci 1989;35:982-1003.
crossref
4. Ilie V, Slyke CV, Parikh MA, Courtney JF. Paper versus electronic medical records: the effects of access on physician's decisions to use complex information technologies. Decis Sci 2009;40:213-241.
crossref
5. Chang IC, Hwang HG, Hung WF, Li YC. Physicians' acceptance of pharmacokinetics-based clinical decision support systems. J Expert Syst Appl 2007;33:296-303.
crossref
6. Duyck P, Pynoo B, Devolder P, Voet T, Adang L, Ovaere D, Vercruysse J. Monitoring the PACS implementation process in a large university hospital - discrepancies between radiologists and physicians. J Digit Imaging 2010;23:73-80. PMID: 18956231.
crossref pmid
7. Pynoo B, Devolder P, Duyck W, van Braak J, Sijnave B, Duyck P. Do hospital physician's attitudes change during PACS implementation? A cross-sectional acceptance study. Int J Med Inform 2012;81:88-97. PMID: 22071012.
crossref pmid
8. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q 2003;27:425-478.
crossref
9. DeLone WH, McLean ER. Information systems success: the quest for the dependent variable. Inf Syst Res 1992;3:60-95.
crossref
10. Hoonakker PL, Carayon P, Walker JM. Measurement of CPOE end-user satisfaction among ICU physicians and nurses. Appl Clin Inform 2010;1:268-285. PMID: 21423791.
crossref pmid pmc
11. Van Der Meijden MJ, Tange HJ, Troost J, Hasman A. Determinants of success of inpatient clinical information systems: a literature review. J Am Med Inform Assoc 2003;10:235-243. PMID: 12626373.
crossref pmid pmc
12. Shin EJ, Chae YM, Ho SH, Kim YU. ERP system performance in a hospital. J Korean Soc Med Inform 2007;13:77-82.
crossref
13. Aggelidis VP, Chatzoglou PD. Hospital information systems: Measuring end user computing satisfaction (EUCS). J Biomed Inform 2012;45:566-579. PMID: 22426283.
crossref pmid
14. Kim J, Chae YM, Kim S, Ho SH, Kim HH, Park CB. A study on user satisfaction regarding the clinical decision support system (CDSS) for medication. Healthc Inform Res 2012;18:35-43. PMID: 22509472.
crossref pmid pmc
15. DeLone WH, McLean ER. The DeLone and McLean model of information systems success: a ten-year update. J Manag Inf Syst 2003;19:9-30.
crossref
16. Rogers EM. Diffusion of innovations. 1983. 3rd ed. New York, NY: Free Press.
crossref
17. Vedel I, Lapointe L, Lussier MT, Richard C, Goudreau J, Lalonde L, Turcotte A. Healthcare professionals' adoption and use of a clinical information system (CIS) in primary care: insights from the Da Vinci study. Int J Med Inform 2012;81:73-87. PMID: 22192460.
crossref pmid
18. Chae YM, Kim SI, Lee BH, Choi SH, Kim IS. Implementing health management information systems: measuring success in Korea's health centers. Int J Health Plann Manage 1994;9:341-348. PMID: 10139512.
crossref pmid
19. Dickson GW, Leitheiser RL, Wetherbe JC, Nechis M. Key information systems issues for the 1980's. MIS Q 1984;8:135-159.
crossref
20. Brancheau JC, Janz BD, Wetherbe JC. Key issues in information systems management: 1994-95 SIM Delphi results. MIS Q 1996;20:225-242.
crossref
21. Kim JE, Chae YM, Kim NH. Study of management issues in hospital information systems in 1999 using Delphi method. Korean J Health Inform Educ 2002;4:53-64.
crossref
22. Kwak EA, Chae YM, Ho SH, Kim KK. Key issues of hospital information systems management. J Korean Soc Med Inform 2007;13:9-17.
crossref


ABOUT
ARTICLE CATEGORY

Browse all articles >

BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
1618 Kyungheegung Achim Bldg 3, 34, Sajik-ro 8-gil, Jongno-gu, Seoul 03174, Korea
Tel: +82-2-733-7637, +82-2-734-7637    E-mail: hir@kosmi.org                

Copyright © 2024 by Korean Society of Medical Informatics.

Developed in M2community

Close layer
prev next