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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61743Full metadata record
| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 陳彥仰(Mike Yen-Yang Chen) | |
| dc.contributor.author | Allan Chang Lin | en |
| dc.contributor.author | 林亞倫 | zh_TW |
| dc.date.accessioned | 2021-06-16T13:11:32Z | - |
| dc.date.available | 2015-08-06 | |
| dc.date.copyright | 2013-08-06 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-07-30 | |
| dc.identifier.citation | [1] Hicks, J., Ramanathan, N., Kim, D., Monibi, M., Selsky, J., Hansen, M. and Estrin, D. (2010). AndWellness: An Open Mobile System for Activity and Experience Sampling. Proc. WirelessHealth’10. New York: ACM Press, 34-43.
[2] Horng, S., Goss, F. R., Chen, R. S., & Nathanson, L. a. (2012). Prospective pilot study of a tablet computer in an Emergency Department. International journal of medical informatics, 81(5), 314–9. doi:10.1016/j.ijmedinf.2011.12.007 [3] Mahnke, A., Yoder, N., Curtis, N., Detzi, C., Moritz, R., Lin, S. iPads vs. Pen-based Portable PCs: Eye Tracking Evaluation of a Universal EHR Interface Design. Proceedings of the American Medical Informatics Association Annual Symposium; 2012 Nov 3-7; Chicago. p. 1849. [4] Marcelo, A., Isip-Tan, I. T., Apostol-Nicodemus, L., Mesa-Gaerlan, F. J., Firaza, P. N., Faustorilla, J. F., Gavino, A., Fontelo, P. Use of Tablet Computers at the Point-of-Care: A Case Study from the Philippines. Proceedings of the American Medical Informatics Association Annual Symposium; 2012 Nov 3-7; Chicago. p. 1853. [5] McLeod, T. G., Ebbert, J. O., Lymp, J. F. Survey Assessment of Personal Digital Assistant Use Among Trainees and Attending Physicians. J Am Med Inform Assoc. 2003 Nov-Dec;10(6):605-7. [6] Patel BK, Chapman CG, Luo N, Woodruff JN, Arora VM. Impact of Mobile Tablet Computers on Internal Medicine Resident Efficiency. Arch Intern Med. 2012;172(5):436-438. doi:10.1001/archinternmed.2012.45. [7] Prgomet, M., Georgiou, A., Westbrook, J. I. The Impact of Mobile Handheld Technology on Hospital Physician’s Work Practices and Patient Care: A Systematic Review. J Am Med Inform Assoc. 2009 Nov-Dec; 16(6): 792–801. [8] Ramanathan, N.; Alquaddoomi, F.; Falaki, H.; George, D.; Hsieh, C.; Jenkins, J.; Ketcham, C.; Longstaff, B.; Ooms, J.; Selsky, J.; Tangmunarunkit, H.; Estrin, D., 'ohmage: An open mobile system for activity and experience sampling,' Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2012 6th International Conference on , vol., no., pp.203,204, 21-24 May 2012 [9] Rao, A. S., Adam, T. J., Gensinger, R. and Westra, B. L. Study of the factors that promoted the implementation of Electronic Medical Record on iPads at Two Emergency Departments. Proceedings of the American Medical Informatics Association Annual Symposium. 2012: 744–752. [10] Ravi, N., Dandekar, N., Mysore, P. and Littman, M. L. Activity Recognition from Accelerometer Data. Proceedings of the 17th Conference on Innovative Applications of Artificial Intelligence. Pittsburgh: AAAI Press/The MIT Press, 1541-1546, 2005. [11] Saponas, T. S., Lester, J., Froehlich, J., Fogarty, J. and Landay, J. iLearn on the iPhone: Real-Time Human Activity Classification on Commodity Mobile Phones. CSE Technical Report. 2008. [12] Tang, C., & Carpendale, S. (2008). Evaluating the deployment of a mobile technology in a hospital ward. Proceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW ’08, 205. doi:10.1145/1460563.1460596 [13] Walsh, C. and Stetson, P. EHR on the Move: Resident Physician Perceptions of iPads and the Clinical Workflow. Proceedings of the American Medical Informatics Association Annual Symposium. 2012: 1422-1430. [14] Welbourne, E., Lester, J., LaMarca, A. and Borriello, G. Mobile Context Inference Using Low-Cost Sensors. Proc. LoCA’05. Berlin: Springer-Verlag, 254-263, 2005. [15] http://www.cs.waikato.ac.nz/ml/weka/ [16] http://www.epic.com/ [17] https://www.parse.com/ | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61743 | - |
| dc.description.abstract | 現今的電子病歷都局限於桌上型電腦。而且當醫生們需要看病患的電子病歷時他們都必須在醫院的辦公室或護理站才接觸得到這些電腦。但是醫院的電腦的數量是有限的,所以導致醫生們會需要多花而外的時間尋找沒正在被使用的電腦並影響工作效率。為了解決這個問題有一些醫院開始使用「行動電子病歷」,也就是結合了電子病歷與現今市場上的觸碰式行動裝置。我們希望了解醫生們使用這種行動電子病歷時的行動狀態。
於是我們追蹤了台灣某大醫院的住院醫生使用Dr. Pad 的使用和行動模式。Dr. Pad 是一款為Apple iPad所設計的行動電子病歷應用程式。我們在Dr. Pad編碼內寫入了記錄器記錄著住院醫生們使用Dr. Pad時的時間、次數、時間長度和行動數據。在這次的研究中我們收集了179位住院醫生使用Dr. Pad四個星期(28天)的使用數據。然後我們運用機器學習演算法建了一個J48決策樹(decision tree)來猜測醫生們的行動類別。這讓我們可以知道醫生在使用Dr. Pad時是否是靜止或行走中。 在這28天我們收集了16,157筆記錄。這些記錄所顯示的趨勢支持了醫生們所告訴我們的使用以及我們在現場所觀察到的使用趨勢。根據Dr. Pad所收集到的數據,醫生們在使用Dr. Pad時大部份是在行動中。使用時間也大多是聚集在早上,而且行動中的比例也突顯地比較高。另外,醫生們使用Dr. Pad的時間長度也比我們預期的還要長,甚至是在我們預期是巡房和病患互動的時段也是如此。 | zh_TW |
| dc.description.abstract | Before Electronic Health Records (EHRs) were available on touch-panel tablets, doctors were confined to accessing patient records on the hospital’s computer stations, in their offices or at nurse stations. This situation is further aggravated by a limited number of workstations, which leads additional workload on doctors looking for an available computer. Mobile EHRs were introduced in order to curb this problem, allowing doctors to access records almost anywhere. This means the doctors can access records while on the go. The most recent incarnation of the mobile EHR comes in the form of touch surface tablets such as the Apple iPad. We want to know what the doctors’ mobile behaviors are like while using such a portable EHR.
Thus we studied the use of Dr. Pad, a mobile EHR application on the iPad used by resident doctors of one of Taiwan’s largest hospitals. We inserted a logger that allowed us to extract direct usage and motion data from a large-scale in-the-wild use of a mobile EHR by 179 resident doctors over 4 weeks. Using machine-learning techniques, we built an unpruned J48 decision tree classifier with which we can predict the doctors’ mobile behaviors while using Dr. Pad. We could tell whether the user was moving or stationary during this time, which was previously unobserved and self-reported to an extent. We captured 16,157 sessions worth of data across 179 doctors who used Dr. Pad over 28 days. Our data revealed trends in the doctors’ use of the mobile EHR, which supported reports from doctors and our observations of their work routines. The doctors were in fact mobile for the majority of the time they used Dr. Pad. Their use was also concentrated in the morning, as we had expected, and were significantly more mobile as well. Furthermore, we also found that the doctors used Dr. Pad more frequently than we had expected, even during times when we expected them to be engaged with patients. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T13:11:32Z (GMT). No. of bitstreams: 1 ntu-102-R00944044-1.pdf: 8154250 bytes, checksum: f8e93870a500124b6df1f620fd7770ee (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
Acknowledgements ii 中文摘要 iii Abstract iv Table of Contents vi List of Figures vii List of Tables x Chapter 1 – Introduction 1 1.1 Introduction 1 1.2 About Dr. Pad 2 1.3 Thesis Organization 3 Chapter 2 – Related Works 5 Chapter 3 – Surveys and Interview 8 3.1 Surveys 8 3.2 Interviews and Shadowing Sessions 17 Chapter 4 – Motion Tracking Implementation 20 4.1 Building the Model 20 4.2 Feature Selection 23 4.3 Comparing Algorithms 25 Chapter 5 – Results and Discussions 27 5.1 General Usage 27 5.2 Morning Usage 31 Chapter 6 – Conclusion 36 References 37 | |
| dc.language.iso | en | |
| dc.subject | 行動裝置互動 | zh_TW |
| dc.subject | iPad | zh_TW |
| dc.subject | 醫學資訊 | zh_TW |
| dc.subject | 電子病歷 | zh_TW |
| dc.subject | Electronic Health Records | en |
| dc.subject | Medical Informatics | en |
| dc.subject | iPad | en |
| dc.subject | Mobile Device Interaction | en |
| dc.title | iPad電子病歷對醫師工作的效益 | zh_TW |
| dc.title | Mobility Patterns of Doctors Using Mobile Electronic Health Records on iPads | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 賴飛羆(Feipei Lai),朱浩華(Hao-Hua Chu),唐玄輝(Hsien-Hui Tang) | |
| dc.subject.keyword | 電子病歷,醫學資訊,iPad,行動裝置互動, | zh_TW |
| dc.subject.keyword | Electronic Health Records,Medical Informatics,iPad,Mobile Device Interaction, | en |
| dc.relation.page | 39 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-07-31 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| Appears in Collections: | 資訊網路與多媒體研究所 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ntu-102-1.pdf Restricted Access | 7.96 MB | Adobe PDF |
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