Hemşire Perspektifinden Saglık Bilgi Sistemi Kullanıcı Beklentileri

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.

User Expectations from Healthcare Information Systems : Nurses’ perspective

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,

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