本研究主要目的為探討腎臟專科醫師對於採用專為透析病患臨床照謢所開發之『檢驗資訊視覺化系統』的關鍵影響因素，以結構式問卷紙本與電子檔發放給各級醫療院所之腎臟專科醫師，問卷內容包含四大構面等相關變數及受試者基本人口學的資料蒐集，並將回收之資料加以登記、整理與統計分析，共取得七十九份有效問卷樣本。
本研究導入商業智慧系統中的『資訊視覺化』等工具，將透析病患接受血液檢驗之每月結果加以整理、分析之後，根據透析室評鑑條文之規定，以『資訊視覺化』方式即時呈現，有別於傳統之純數字呈現。問卷將以『若預估系統成本約需要新台幣二十四萬元左右，您是否願意在一年內採用此系統』為被解釋變數，利用線性機率模型尋找最終迴歸方程式，並分別以『創新擴散性』、『知覺有用性』、『知覺易用性』及『醫療品質與服務』等四大構面十三項問項為解釋變數，利用線性機率模型等統計方法進行實證分析，以探討影響腎臟專科醫師採用此系統之關鍵因素。
本研究初步實證結果顯示，『系統儲存或查詢檢驗資料是安全及受保護的』這項變數是腎臟專科醫師採用這套『檢驗資訊視覺化系統』於透析病患臨床照謢上最為擔心的因素，其他變數則都無法顯示統計學上顯著之差異。最後本研究針對初步結果提出幾項建議，(1) 增加醫療院所決策者對於新資訊產品的信心、(2) 增加資訊人員動機與減少資訊安全疑慮、(3) 整合電腦系統與手持式裝置的應用，以提升醫療效率。

(1) Scopy and Objectives: “Big data” management is an emerging critical issue at 21st century. Who can collect, extract, transform primary data into useful secondary information, who can make sustainable competitive advantages. The aim of this research is determining the key influence factor(s) on acceptance of “Laboratory Information Visualization System”, designed by business intelligence software, in dialysis patient care at Taiwan. (2) Methods: Enrolled 79 certified Nephrologists working at different level of medical facilities. Cross-sectional study by structured questionnaires with 13 items, contained 4 domains with Diffusion of innovation, Perceived usefulness, Perceived ease of use, and healthcare quality. Econometrics theory with Linear Probability Model and several statistical methods were used for searching optimal regression model. 「Would you adopt the system with NT240,000 within 1 year? 」 was set as dependent variable. (3) Results: There are 58 Nephrologists (73.4%) working at hospitals, 44 (55.7%) with more than 10 years of services, 59 (74.7%) have not heard or saw this kind of system, and 43 (54.4%) do not adopt this system. 「The data storage and look-up are safe and protected」 is the statistically significant influence factor when adopting the system by Nephrologists. (4) Conclusions: Although the safety of patients’ information is the most concern issue at healthcare providers, it can be overcame by well-designed business intelligence system, as the many famous international corporations do. The quality of care and satisfaction of patients will be upgraded further, if the system can integrated with mobile devices and operated via cloud computation.

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