物聯網驅動非同步化療調配驗證系統｜國立臺灣科技大學博碩士論文系統

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研究生：	郭玟伶 Wen-Ling Kuo
論文名稱：	物聯網驅動非同步化療調配驗證系統 IoT-enabled Asynchronous Chemotherapy Compounding Verification System
指導教授：	周碩彥 Shuo-Yan Chou
口試委員:	游慧光 Hui-Kuang Yu 喻奉天 Vincent F. Yu
學位類別：	碩士 Master
系所名稱：	管理學院 - 管理學院MBA School of Management International (MBA)
論文出版年：	2014
畢業學年度：	102
語文別：	英文
論文頁數：	51
中文關鍵詞：	化療調配、物聯網、非同步驗證系統、整合性資訊系統架構
外文關鍵詞：	Chemotherapy Compounding, Internet of Things, Asynchronous Verification System, ARIS
相關次數：	點閱：267 下載：0
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As of the continuous technologies development in healthcare, the survival rate has improved dramatically in recent decades. Along with more cures being found, doctors kept building their medical knowledge by accumulated experience and academic researches. Though there is no 100% guarantee treatment that doctors usually instruct the closest one and proceed necessary adjust after observation until find the right cure.

According to the latest official statistic published that the malignant tumor is the top one national cause of death in Taiwan in 2012 [6]. The record stays over thirty years science 1982. Since chemotherapy is one of the cures of malignant tumor and cancer, the compounding process would be a gray area of patients’ healthcare [7]. Any mistakes in patient identification, drug dosage, drug type or administration may lead to harsh consequences.

A well designed process review mechanism seems in need. A process design of sterile room with assistance of technologies should be on the way for further improvement [8]. The concept of communications between goods and people has been introduced in 1995 as well as data collecting automatically, The Internet of Things (IoT) by Bill Gates [9]. Also the techniques became more mature and now are wildly implemented in our daily life. The related development will be covered in later chapters. However, the link between IoT to sterile environment, in chemotherapy compounding specifically, and how it can help for the process improvement will be the main stream of this research.

Table of Contents
Abstract	i
Acknowledgements	ii
Table of Contents	iii
List of Figures	v
List of Tables	vi
Chapter 1 Introduction	1
1.1	Background and motivation	1
1.2	Objective	4
1.3	Research framework	4
Chapter 2 Literature Review	6
2.1	Errors reduction approaches in chemotherapy	6
2.1.1	FMEA (Failure Mode Effect Analysis)	6
2.1.2	RCA (Root Cause Analysis)	8
2.2	ARIS (Architecture of Integrated Information Systems)	9
2.3	Medical images development and validation system	12
2.4	IoT and RFID technologies implementation in healthcare	13
Chapter 3 Methodology and Tools	18
3.1	Case background: process of chemotherapy compounding	18
3.2	Current process review	20
3.2.1	RCA (Root Cause Analysis)	20
3.2.2	Value Stream Mapping	22
3.3	ARIS (Architecture of Integrated Information Systems)	23
Chapter 4 Solution and Analysis	25
4.1	Solutions	26
4.2	IoT-enabled asynchronous chemotherapy compounding verification system	27
4.3	RCA resolution	31
4.4	Analysis	32
4.4.1	Documentation and periodic review	32
4.4.2	Process visibility - track and trace	33
4.4.3	Manpower flexibility	35
4.5	System integration requirement	37
Chapter 5 Conclusion and Future Research	38
5.1	Conclusion	38
5.2	Future research	38
Reference	39

List of Figures
Figure 1.1 Research framework 	5
Figure 2.1 ARIS House 	10
Figure 2.2 RFID-enabled healthcare system 	15
Figure 2.3 Current challenges faced by healthcare 	16
Figure 3.1 Simple chemo compounding pharmacy layout in the main campus	19
Figure 3.2 Root cause analysis of chemotherapy compounding in case hospital	20
Figure 3.3 Value stream mapping of the chemotherapy in the main campus	22
Figure 3.4 Value stream mapping of the chemotherapy in the sub-campus	23
Figure 3.5 The current process flow of chemotherapy compounding (As-Is)	24
Figure 4.1 The breakdown solutions	25
Figure 4.2 The target process flow of chemotherapy compounding (To-Be)	27
Figure 4.3 Preparation process	28
Figure 4.4 Compounding process	29
Figure 4.5 Product complete	30
Figure 4.6 track and trace flow	34
Figure 4.7 The expecting outcome of adopting new system	35
Figure 4.8 Manpower flexibility and network	36

List of Tables
Table 2.1 Comparison of FMEA and RCA 	8
Table 2.2 Framework for implementation of BPM to hospital 	11
Table 2.3 Selected RFID systems reported in literature 	15
Table 2.4 RFID applications in various areas in healthcare 	16
Table 2.5 Pros and Cons of preparation laboratory configuration models 	17
Table 2.6 Most frequent errors mode on chemotherapy process 	17
Table 3.1 Job allocation the Department of Pharmacy Practice 	19
Table 3.2 workload allocation of chemo compounding in case hospital system 	20
Table 4.1 The details of breakdown solutions 	26

                                

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全文公開日期 2019/01/15 (校內網路)
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