臺灣博碩士論文加值系統

隨著時代的進步科技的日新月異，過去醫院常用的紙本病歷已逐漸被電子病歷所取代，在民國一百零四年時已有超過八成的醫療院所通過電子病歷檢查，而現今台灣幾乎每一家醫院都在使用電子病歷。電子病歷帶來了儲存方便不需要占用空間、能夠複製貼上病歷加速輸入電子病歷的速度…等許多的好處，但同時也有著些許缺點，如醫師在書寫病歷時為了加快輸入病歷速度，而使用複製貼上的功能，但是卻重複貼上造成電子病歷冗長，讓醫護人員的可讀性降低或是貼上錯誤的藥品劑量而造成醫療疏失。而在過往的研究中是沒有發現利用Bigram找出固定病歷比較筆數後標註病歷新資訊的研究。

本研究的目的在於使用Bigram比對標註出電子病歷新資訊，將嘉義某區域教學醫院所取得的十位病人電子病歷資料做為研究資料，經過資料前處理去除雜訊後，以兩位專家醫師的電子病歷Gold Standard與Bigram比對系統所標註的行數進行F-measure找出固定病歷比較筆數，利用固定病歷比較筆數比對電子病歷標註病歷新資訊呈現在網頁介面上，讓醫護人員能夠進行參考更快速的下決策。

本研究經實驗後得到固定病歷比較筆數為4，利用固定病歷比較筆數比對電子病歷新資訊時，能夠加快比較速度並標註較多的病歷新資訊，而固定病歷比較筆數可供未來使用者在比對病歷資訊時，先決定病歷比較筆數，減少比對時間。

With new technological advances, Electronic medical record has gained popularity. The electronic medical record brings many benefits such as convenient storage and the ability to copy and paste the medical record to speed up the enter electronic medical record. However, it also has some shortcomings, such as repeated postings caused the electronic medical records to be lengthy, making the medical staff less readable or pasting the wrong drug causing medical negligence. In the past studies, no research used Bigram model to find out the fixed compared medical records to find out the new medical information

The purpose of this study is to use the Bigram comparison to highlight new information on electronic medical records. After pre-processing data to remove noise, Gold Standard of the electronic medical records defined by two expert physicians was compared to the highlighted lines of Bigram comparison system. The F-measure was used to find out a fixed number of medical records to compare the non-highlight electronic medical records to highlight new medical information on the web interface. The experiment results suggested using four medical records in the comparison. When the fixed medical records are compared with the medical records, the speed of comparison can be faster and more medical records can be marked. When comparing the medical record information, the user first determines the number of medical records and reduces the comparison time. Therefore, this system allows medical staff able to obtain faster decision making.

表目錄III
圖目錄IV
第一章、緒論1
1.1 研究背景1
1.2 研究動機2
1.3 研究目的4
1.4 研究成果4
第二章、文獻探討5
2.1 醫療決策支援系統5
2.2 資訊檢索7
2.2.1 文本檢索與多媒體檢索7
2.2.2 醫療資訊檢索8
2.3電子病歷10
第三章、研究方法13
3.1 資料前處理13
3.1.1 去除標點符號15
3.1.2 去除停字15
3.1.3 單元化16
3.1.4 拼字檢查17
3.1.5 還原字根17
3.2 病歷比對18
3.2.1 利用Bigram找出病歷新資訊18
3.2.2 決定病歷比較筆數介面18
3.2.3閱讀病歷介面20
3.3效能評估方法21
第四章、實驗結果與分析22
4.1 實驗資料集22
4.2 實驗結果與評估22
4.3效能評估24
第五章、研究結論與分析25
5.1 研究結論25
5.2 研究限制25
5.3 未來研究方向與建議26
參考文獻27
附錄一、IRB人體研究計畫免審證明書34

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