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課程名稱 |
醫療機構管理科學模式個論
Topics on Health Care Management Science |
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開課學期 |
103-1 |
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授課對象 |
公共衛生學院 健康服務與產業組 |
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授課教師 |
張睿詒 |
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課號 |
HPM7050 |
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課程識別碼 |
848 M2250 |
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班次 |
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學分 |
2 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期五5,6,7,8(12:20~16:20) |
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上課地點 |
公衛208 |
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備註 |
週五雙週上課。
限碩士班以上
總人數上限：30人
外系人數限制：10人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1031HPM7050_ |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
本課程採問題導向之模式建構與解析方式進行，分別對不同管理科學模式探討之。首先，經由講授並深入分析管理科學模式之組構，使習者瞭解模式建構之理論與方法；再藉由案例之講授，解析模式之應用性；最後經由與實務機構合作，取得機構管理面臨之實務問題，運用課堂教授的知識與分析技術予以問題解決，以獲得對所介紹之模式完整的了解與運用。
This course is problem-solving oriented through mathematical model building and analysis. Various management science models which have been popular and widely applied will be introduced. The instructor will first introduce theories of different models and demonstrate applications through healthcare practices. Then students are required to visit cooperative healthcare organizations and to solve real world management problems faced by the organization with the management science models. |
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課程目標 |
本課程旨在讓習者熟悉常應用於健康照護的管理科學模式，並瞭解模式對不同管理問題的可適用性。再藉由健康照護機構管理問題的實際參與，強化習者熟練運用這些模式解決管理實務問題，以嫻熟數量模式之運用。
The purposes of this course are to assist students familiar with various management science models and techniques which can be applied to healthcare settings or used to analyze large quantity of healthcare data to extract implicit, previously unknown and potentially useful information from data. Moreover, students are expected to have ability to apply these models to solve the managerial problems in real world situations and enhance their modeling skill. |
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課程要求 |
需對不同模式瞭解其理論及適用性，並閱讀相關應用文獻。其次，運用課堂講授之數量模式或技術，蒐集資料或針對既有之資料進行分析，撰寫繳交期末報告。研究過程與結果，需依規劃進度於課堂報告。 |
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預期每週課後學習時數 |
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Office Hours |
備註： 12:10-13:10 |
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指定閱讀 |
1. Hiller & Hiller (2011): Introduction to Management Science. 4th edition. McGraw Hill.
2. Tan, Steinbach, Kumar (2006): Introduction to Data Mining. Addison-Wesley.
3. Charnes, Cooper, Lewin, and Seiford (1994): Data Envelopment Analysis: Theory, Methodology, and Application. Kluwer Academic Publishers. |
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參考書目 |
I. Linear Programming
1. Blake JT, Donald J: Mount Sinai Hospital Uses Integer Programming to
Allocate Operating Room Time. Interfaces 2002; 32(2): 63-73.
2. Sapountzis C: Allocation Blood to Hospitals. Journal of Operational
Research Society 1989; 40(5): 443-9.
3. Leiken A, Sexton TR, Silkman RH: A Model to Assess the Quality-Cost
Trade-off in Nursing Homes. Health Services Research 1986; 21(2): 145-60.
4. Greenwald HP, Woodward JM, Berg DH: Transportation of CT Scanners: A
Theory and Method of Health Resources Allocation. Health Services Research
1979; 14: 207-19. (Transportation problem)
5. Harrison H: A Planning System for facilities and Resources in
Distribution Networks. Interfaces 1979; 9(2): 6-22. (Assignment problem)
II. Data Envelopment Analysis
1. Brockett PL, Chang RE, Rousseau JJ, Semple JH: A Comparison of the HMO
Efficiencies as a Function of Provider Autonomy. J Risk Insur 2004; 71(1):
1-19.
2. Chu CL, Chiang TL, Chang RE *. Hospital Competition and Inpatient
Services Efficiency in Taiwan: A longitudinal Study. Health Economics 2011,
20: 1268-80.
III. Data Mining
1. Nahar J, Imama T, Tickle KS, Chen YP. Association rule mining to detect
factors which contribute to heart disease in males and females. Expert
Systems with Applications 2013; 40: 1086-93.
2. Yeh JY, Wu TH, Tsao CW. Using data mining techniques to predict
hospitalization of hemodialysis patients. Decision Support Systems 2011; 50:
439-48.
3. Hu PJ, Cheng TH, Wei CP, Yu CH, Chan AL, Wang HY. Managing Clinical Use
of High-Alert Drugs: A Supervised Learning Approach to Pharmacokinetic Data
Analysis. IEEE Transactions on Systems, Man, and Cybernetics—PART A: Systems
and Humans 2007; 37(4): 481-92.
IV. Decision Analysis & Markov Chain
1. Kanwal F,Gralnek IM, Martin P, Dulai GS, et al. Treatment Alternatives
for Chronic Hepatitis B Virus Infection: A Cost-Effectiveness Analysis.
Annals of Internal Medicine 2005; 142: 821-31.
2. Delaney G, Barton M, Jacob S, Jalaludin B. A Model for Decision Making
for the Use of Radiotherapy in Lung Cancer. Lancet Oncology 2003; 4: 120-8.
3. Lotan Y, Gettman MT, Roehrborn CG, Cadeddu JA, Pearle MS. Management of
Ureteral Calculi: A Cost Comparison and Decision Making Analysis. Journal of
Urology 2002; 167: 1621-9.
4. Ortegon MM, Redekop WK, Niessen LW. Cost-Effectiveness of Prevention and
Treatment of the Diabetic Foot: A Markov analysis. Diabetes Care 2004; 27:
901-7. |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Assignments |
50% |
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2. |
Term paper |
50% |
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週次 |
日期 |
單元主題 |
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第2週 |
9/26 |
APRU Global Health Workshop -------張睿詒 |
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第2週 |
9/26 |
APRU Global Health Workshop -------張睿詒 |
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第4週 |
10/10 |
Holiday |
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第4週 |
10/10 |
Holiday |
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第6週 |
10/24 |
Data Envelopment Analysis & Applications -------張睿詒 |
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第6週 |
10/24 |
Linear Programming, Applications & Computer Software -------張睿詒 |
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第8週 |
11/07 |
Data Mining and Artificial Intelligence (II) -------Guest Speaker |
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第8週 |
11/07 |
Data Mining and Artificial Intelligence (I) -------Guest Speaker |
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第10週 |
11/21 |
Decision Theory -------張睿詒 |
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第10週 |
11/21 |
Decision Theory & Applications -------張睿詒 |
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第12週 |
12/05 |
Decision Theory & Markov Chain Applications -------Guest Speaker |
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第12週 |
12/05 |
Markov Chain -------張睿詒 |
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第14週 |
12/19 |
Problem Identification and Literature Review (I) ------張睿詒 |
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第14週 |
12/19 |
Problem Identification and Literature Review (II) -------張睿詒 |
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第16週 |
1/02 |
Data Collection and Analysis (II) -------張睿詒 |
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第16週 |
1/02 |
Data Collection and Analysis (I) -------張睿詒 |
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第18週 |
01/16 |
Term Paper & Presentation -------張睿詒 |
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第18週 |
01/16 |
Term Paper & Presentation -------張睿詒 |
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