User Expectations from Healthcare Information Systems : Nurses’ perspective

Year 2018, Volume: 11 Issue: 3, 287 - 294, 31.07.2018

Güney Gürsel

Abstract

 Although all healthcare staff needs qualified
computer support, physicians and nurses need more. The physician makes enormous number of decisions. To
make true and just-in-time decisions, he needs the longitudinal past record of
the patient. Nurses have to ensure that patient information is consistent and correct
for nursing practice. There is consensus that
meeting user expectations has great influence on user satisfaction. To meet the
expectations, first of all, we have to know what are these “expectations”, and
then their importance. In this study, perceived importance of nurses’
expectations from Healthcare Information Systems is examined. 17 predefined
user expectations are rank ordered using Fuzzy Conjoint
Analysis. Fuzzy Conjoint Analysis is used for determining consumer preferences
in marketing. In this study, Fuzzy Conjoint Analysis is applied to healthcare. Speed and Availability are the top ranks in perceived
importance, whereas Report Facilities and Research Facilities are the
least. When compared the results of the Fuzzy Conjoint
Analysis with the weighted average formula, we see that ranking is totally different. That
stems from the loss of precision when fuzzy methodologies are not used in vague, uncertain, subjective, and imprecise data

Keywords

Evaluation, User expectation, Ranking, Fuzzy Logic

Hemşire Perspektifinden Saglık Bilgi Sistemi Kullanıcı Beklentileri

Abstract

Tüm sağlık çalışanları kaliteli bir şekilde
bilgisayar desteğine ihtiyaç duyarlar, ancak hekimler ve hemşirelerin bu
desteğe daha çok ihtiyaçları vardır. Hekimler teşhis koyma esnasında inanılmaz
sayıda karar verirler.  Doğru kararları
zamanında verebilmek için hastanın geçmişten itibaren tüm kayıtlarına ihtiyaç
duyarlar. Hemşireler de hasta bilgisinin doğru ve tutarlı olmasına ihtiyaç
duyarlar. Kullanıcı beklentilerinin karşılanmasının kullanıcı tatmini üzerinde
büyük etkisi oluğuna dair literatürde bir görüş birliği mevcuttur. Beklentileri
karşılayabilmek için en başta bu beklentilerin neler olduğunu ve bunların önem
derecesini bilmeliyiz. Bu çalışmada, hemşirelerin sağlık bilgi sistemlerinden
beklentilerinin önemi incelenmiştir. 
Tanımlı 17 kullanıcı beklentisi Fuzzy Conjoint Analysis metodu ile önem
derecesine göre sıralanmıştır. Hız ve erişebilirlik ilk iki sırayı alırken,
raporlama olanakları ve araştırma olanakları son iki sırayı almıştır. Fuzzy
Conjoint Analysis metodunun sonuçları, ağırlıklı ortalama metodunun sonuçları
ile karşılaştırıldığında sıralamanın tamamen değiştiğin görülmüştür. Bu
farklılığın, karmaşık, bulanık, sübjektif ve kesin olmayan veride bulanık
mantık metodolojileri kullanılmadığı zaman ortaya çıkan hassasiyet kaybından
kaynaklandığı değerlendirilmiştir.

Keywords

Değerlendirme, Kullanıcı Beklentisi, Sıralama, Bulanık Mantık

References

• Wager KA, Lee FW, Glaser JP. Managing Healthcare Information Systems: A Practical Approach for Healthcare Executives. San Francisco, USA: Wiley, 2005.
• Top M, Gider Ö. Nurses’ views on electronic medical records (EMR) in Turkey: An analysis according to use, quality and user satisfaction. J Med Syst. 2012; 36(3): 1979–1988.
• Walter Z, Lopez MS. Physician acceptance of information technologies: role of perceived threat to professional autonomy. Decis Support Syst. 2008; 46 (1): 206–215.
• Lee A. (2014). The role of informatics in nursing. Nurs Made Inc Easy, 12 (4), 55.
• Moody LE, Slocumb E, Berg B, Jackson D. Electronic health records documentation in nursing: nurses' perceptions, attitudes, and preferences. Comput Inform Nurs. 2004; 22 (6): 337.
• Dillon TW, Blankenship RAY, Crews T. Nursing attitudes and images of electronic patient record systems. Comput Inform Nurs. 2005; 23 (3): 139.
• Hung SY, Tsai JCA, Chuang, CC. Investigating primary health care nurses' intention to use information technology: An empirical study in Taiwan. Decis Support Syst. 2014; 57: 331-342.
• Staggers N. Thompson CB. The evolution of definitions for nursing informatics. J Am Med Inform Assn. 2002; 9(3): 255-261.
• Bickford CJ. Nursing informatics: scope and standards of practice. Studies in health technology and informatics. 2008;146: 855.
• Lee TT. Evaluation of computerized nursing care plan: instrument development. J Prof Nurs. 2004; 20 (4): 230–238.
• Conrath DW, Mignen OP. What is Being Done to Measure User Satisfaction with EDP/MIS. Inform Manage. 1990; 19: 7-19.
• Eldon YL. Perceived Importance of Information System Success Factors: A Meta Analysis of Group Differences. Inform Manage. 1997; 32: 15-28.
• Montazemi AR. Factors Affecting Information Satisfaction in the Context of the Small Business Environment. MIS Quar. 1988;12: 239-256.
• Indelicato GA. guide to the project management body of knowledge (PMBOK guide). Project Management Journal. 2009; 40(2): 104.
• Joukes E, Cornet R, Bruijne MC, Keizer NF. Eliciting end-user expectations to guide the implementation process of a new electronic health record: A case study using concept mapping. Int j med inform. 2016; 87: 111-117.
• Wears RL. Berg M. Computer technology and clinical works: still waiting for Godot. J Amer Med Assoc. 2005; 293(10): 1261-1263.
• Heeks R. Health Information Systems: failure, success and improvisation. Int j med inform. 2006; 75(2): 125-137.
• Kaplan B, Harris-Salamone KD. Health IT success and failure: recommendations from literature and an AMIA workshop. J Amer Med Assoc. 2009; 16(3): 291-299.
• Cohen JF, Coleman E, Kangethe MJ. An importance-performance analysis of hospital information system attributes: a nurses’ perspective. Int J Med Inform. 2016; 86: 82–90.
• Kimiafar K, Sadoughi F, Sheikhtaheri A, Sarbaz M. Prioritizing factors influencing nurses’ satisfaction with hospital information systems: a fuzzy analytic hierarchy process approach. Comput. Inform. Nurs. 2014; 32(4): 174–181.
• Gartrell K, Storr CL, Trinkoff AM, Wilson ML, Gurses, AP. Electronic personal health record use among registered nurses. Nursing outlook. 2016; 63(3): 278-287.
• Gürsel G, Zayim N, Gülkesen HK, Arifoğlu A, Saka O, A new approach in the evaluation of hospital information systems, Turkish Journal of Electrical Engineering & Computer Sciences, 2014, 22(1): 214-222.
• Gürsel G, Gülkesen HK, Zayim N, Arifoğlu A, Saka O,, Osman Saka, Investigating Determinants of Medical User Expectations from Hospital Information System, World Academy of Science, Engineering and Technology, International Science Index 71, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 2012,6(11): 56 - 61.
• Gürsel G, Perceived Importance of User Expectations from Healthcare Information Systems, in Healthcare Informatics and Analytics: Emerging Issues and Trends. Ed. Madjid Tavana, Amir Hossein Ghapanchi, Amir Talaei-Khoei, IGI Global. pp. 2014,82-93.
• Gürsel G, Examination of the User Expectations from Hospital Information Systems, E-Telemed 2013: The Fifth International Conference on eHealth, Telemedicine, and Social Medicine. 24 February– 01 March. 2013, Nice / FRANCE. Proceedings Book. pp. 178-182.
• Abiyev HR, Saner T, Eyupoglu S, SAdıkoğlu G. Measurement of Job Satisfaction Using Fuzzy Sets. Procedia Compute Sci. 2016; 102: 294-301.
• Wickramasinghe N, Tumu S, Bali RK, Tatnall A. Using Actor Network Theory (ANT) as an analytic tool in order to effect superior PACS implementation. Int J Netw Virt Organ. 2007; 4(3): 257–279.
• Farzandipour M, Meidani Z, Riazi H, Jabali MS. Nursing Information Systems Requirements: A Milestone for Patient Outcome and Patient Safety Improvement. Comput Inform Nurs. 2016; 34: 601–12.