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本钻研在全部查询拜访進程中采纳了“均衡不彻底块設計”（BIBD）[5]。数据收集请求受試者先签订知情赞成书，然後再對钻研细节举行遍及的會商。每张规划卡交给受访者以前都要举行具體的阐明，规划卡总计20张，從1到20举行排序，此中1為“最受接待”，20為最不受接待的。為鼓動勉励受访者，本次数据收集将给受访者發放“代币”（應當是代金券）。
3.5.数据阐發
Sawtothe软件V.18用于經由過程估量對属性和属性程度的偏好强度，對介入者的（数据举行）结合阐發并举行统计處置[11]。
04结论
社區醫護职員對抱负的電子康健档案偏好数据，經過结合模子（表2）阐發後，其差别性大于0.8。這表白，在電子康健档案的各（评價）属性中，從首要性来看，配色方案被認為是最首要的（28.62%），其次是平台（27.75%）和结構（21.08%）。設計（11.28%）和菜单（11.26%）的首要性较低（表2）。
有趣的是，平台属性的成份功效值（partworth）阐發（图3）显示，受访者偏心小型东西，即平台越小，成份功效值（partworth）越高。在視觉属性方面，采纳分块（r=0.133）结構的三元色配色方案（r=0.296）的极简設計（r=0.075），具備最高的成份功效值（partworth）值。至于菜单，受访者更喜好图標（r=0.121），而不是文字块（r=-0.121）。查询拜访成果表白，社區醫護职員偏心以图標為主的、结構简略的、色调更光鲜的挪動電子康健档案體系。
05會商
5.1结合模子
结合模子表白，醫護职員较為存眷電子康健記實（EHR）的两個根基属性，一個是配色方案，一個是（其所支撑的）平台装備。多年来，很多學者都認為色彩是影响按摩精油,消费者感知和举動的重要視觉特性[4,8,75,83]。一样，對電子病历装備平台的高度偏好（存眷），是由于體系所支撑的平台直接瓜葛到其在事情場合举行事情的便當性——這一點對活泼、忙碌和活動辦公情况特别首要。在這一范畴的發明表白，软件開辟职員和設計职員须斟酌用户視觉乐趣及@體%938e7%系對挪%uFr67%動@平台的支撑。
颠末阐發，咱們發明受访者偏心小型东西或平台——即平台越小——越受醫護职員偏心。在視觉元素方面，采纳分块（r=0.133）结構，三德配色方案（r=0.296）的极简設計（r=0.075），最受青睐。至于菜单，受访者更喜好图標（r=0.121）式菜单，而不是文字（r=-0.121）型菜单的。钻研成果表白，社區醫護职員更喜好在挪動平台利用電子康健档案，简略结構、以图標菜单為主、色调明显的設計气概更受青睐。
5.2元素價值阐發
钻研数据显示，用户更加偏心支撑挪動装備（如手機、平板電脑和条記本電脑）的電子康健档案體系。這是由于较小的装備除具備“高度挪動性”以外，還具備與较大装備（台式機）至關的计较和連通能力。現有文献夸大，便携性和便當性是醫護职員選擇醫療康健體系時所斟酌的關頭身分。比方，患者挪動性的增长[16]可能會進一步晋升市場對支撑便携平台的EHR的需求。
在這项钻研中，還發明醫護职員偏心的几種（EHR體系界面的）色彩。该發明可能與人類色觉的三色论有關，该理论诠释了視网膜皮层色彩處置法子[96]。一般来讲，特定人群對色彩的偏心源于该人群對该色彩（物體）踊跃反响的均匀值[110]。是以，咱們可以简略地揣度，结合卡中的蓝色、黄色和橙色，因其雷同蓝天、晨曦及柑桔的視觉结果，而得到受访者的青睐[110]。别的，人類常常将多種感官線索連系起来以提高感知能力[80]，這與Michalsky和Grobeln[111]以前的钻研一致，该钻研證實，利用“彩色”面板而非“平均灰色”面板，将會晋升與计较機的交互效力[63]。涵蓄的說，EHR的開辟者應斟酌人類色觉心理學，并尽量在他們的設計事情中利用三元色。
别的，极简主义設計比skeomorphic設計更受接待。這類偏向創建在一個被遍及接管的究竟上：即EHR的用户界面（UI），极简設計可以减罕用户的“信息過载”，一样，极简設計也會削减體系對用户認知（能力和速率）的请求，并在某種水平上會晋升数据的正确性[16]、可理解性和可追溯性[2]。是以，EHR設計者應當细心斟酌（削减設計元素），以防止在設計繁杂软件利用步伐進程中呈現視觉拥堵，和對感官的過分刺激。
值得注重的是，醫護职員最偏心分块结構（行将大量EHR內容拆分為带題目的部門）。這可能归因于“受访者‘模式导航’（pattern navigation）的性子”（其意或為“必要對內容举行快速查阅”的需求）。Thyvalikakath及其同事（2014）發明，醫護职員常常以“線性序列”查阅EHR體系的信息，同時必要在信息源之間快速切换，而分块结構更加支撑這類需求[89]。這一范畴的其他钻研成果（Shneiderman et al.，2017）也證明了用户界面临體系交互的首要性，及這類交互性對潜伏用户發生的影响[57]。在這類環境下，認知使命阐發（cognitive task analysis，CTA）[93]應被視為對EHR举行测試的通例勾當，而有關屏幕信息辦理的其他學科也利用于對EHR體系举行测試。
在這项钻研中，受访者更加偏心“以图象為中間”而非“以文字為中間”的電子病历體系。發生這類偏好的缘由多是：图標可以更好地捕获主體的視觉乐趣。已有权势巨子文献提出，比拟之下，采纳图標的體系，遭到更多计较機用户的青睐，由于它晋升了辨認度，對用户来讲，它比文本更容易被認知[31,70]。在常識檢索（體系）中，利用文本作為查抄条款常常更加有益，但在人機交互中，此条履历可能失效[56]，相反的，图形界面設計方案更加可取[44]。此外，利用图標替换文本，也能够晋升用户的浏览效力。
此外必要注重的是，图標應當“具備可辨認的意义”，應利用通用符号来避免因體系問題致使的菜单误選[9，17，82]。從這個角度上說，有需要请醫護职員介入图標設計[82]。
06结论
EHR可以晋升醫療康健辦事程度，此钻研試图诠释菲律宾醫護职員對EHR界面的偏好。經由過程结合阐發法，本钻研揭露了受访者對EHR配色方案和装備平台的偏向性。成果显示：利用三德配色、分块瑪卡保健食品,结構、简便設計、图象菜单，和支撑挪動装備的EHR體系具備最高的适用性。
07参考文献
[1] V. Aggelidis, P. Chatzoglou, Using a modified technology acceptance model in hospitals, Int. J. Med. Inf. 78 (2) (2009) 115–126.
[2] S. Ahmed, G. Ashraf, Model-based user interface engineering with design patterns, J. Syst. Softw. 80 (8) (2007) 1408–1422.
[3] C. Anderson, T. Henner, J. Burkey, Tablet computers in support of rural and frontier clinical practice, Int. J. Med. Inf. 82 (11) (2013) 1046–1058.
[4] M.M. Aslam, Are you selling the right colour? A cross-cultural review of colour as a marketing cue, J. Mark. Co妹妹un. 12 (1) (2006) 15–30.
[5] S.-H. Baek, S. Ham, I.-S. Yang, A cross-cultural comparison of fast food restaurant selection criteria between Korean and Filipino college students, Int. J. Hosp. Manag. 25 (4) (2006) 683–698.
[6]L. B´alint, Adaptive human-computer interfaces for man-machine interaction in computer-integrated systems, Comput. Integr. Manuf. Syst. 8 (2) (1995) 133–142.
[7] J.G. Bellika, E. Bønes, G. Hartvigsen, PaSent—the patient’s personal health adviser, J. Telemed. Telecare 8 (Suppl 2) (2002) 41–43.
[8] J. Bellizzi, A. Crowley, The effects of color in store design, 1983.
[9] M. B¨ohmer, A. Krüger, A study on icon arrangement by smartphone users, in: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2013, pp. 2137–2146.
[10] S.A. Brasel, J. Gips, Tablets, touchscreens, and touchpads: how varying touch interfaces trigger psychological ownership and endowment, J. Consum. Psychol. 24 (2) (2014) 226–233.
[11] J.F.P. Bridges, A.B. Hauber, D. Marshall, A. Lloyd, L.A. Prosser, D.A. Regier, F. R. Johnson, J. Mauskopf, Conjoint analysis applications in health–a checklist: a report of the ISPOR good research practices for conjoint analysis task force, Value Health: J. Int. Soc. Pharmacoecon. Outcomes Res. 14 (4) (2011) 403–413.
[12]T.J. Bristol, Tablets in nursing education, Teach. Learn. Nurs. 8 (4) (2013) 164–167.
[13]D. Browne, STUDIO: STructured User-interface Design for Interaction Optimisation, Prentice Hall, 1994.
[14]S. Bytyci, Influence of colors as a key element in consumer marketing, Exp. J. Market. 8 (1) (2020) 41–47.
[15] A.L. Cartwright, S.P. Spina, Smartphones in clinical pharmacy practice: is it evidence-based? Health Policy Technol. 3 (2) (2014) 85–89.
[16] I.-C. Chang, Y.-C. Li, T.-Y. Wu, D.C. Yen, Electronic medical record quality and its impact on user satisfaction—healthcare providers’ point of view, Gov. Inf. Q. 29 (2) (2012) 235–242.
[17] C.-C. Chen, User recognition and preference of app icon stylization design on the smartphone, in: C. Stephanidis (Ed.), HCI International 2015—Posters’ Extended Abstracts, vol. 529, Springer International Publishing, 2015, pp. 9–15.
[18] N.T. Cheung, V. Fung, Y.Y. Chow, Y. Tung, Structured data entry of clinical information for documentation and data collection, Stud. Health Technol. Inform. 84 (Pt 1) (2001) 609–613.
[19]B. Collins, M. Wagner, Early experiences in using computerized patient record data for monitoring charting compliance, supporting quality initiatives and assisting with accurate charging at Allina Hospitals & Clinics, Int. J. Med. Inf. 74 (11–12) (2005) 917–925.
[20] D. Darmon, R. Sauvant, P. Staccini, L. Letrilliart, Which functionalities are available in the electronic health record systems used by French general practitioners? An assessment study of 15 systems, Int. J. Med. Inf. 83 (1) (2014) 37–46.
[21] A.B. de Guzman, K.V.A. Lores, M.C.R. Lozano, M.C. Lozano, D.M. Lu, C.E.D. V. Ma, C.R.L. Macrohon, Health-Seeking Preferences of Elderly Filipinos in the Co妹妹unity via Conjoint Analysis, Educ. Gerontol. 40 (11) (2014) 801–815.
[22] M. Delgado-Rodriguez, Bias, J. Epidemiol. Co妹妹un. Health 58(8) (2004) 635–641.
[23] A. Dickinson, P. Gregor, Computer use has no demonstrated impact on the well-being of older adults, Int. J. Hum Comput Stud. 64 (8) (2006) 744–753.
[24]M. Ehnfors, J. Florin, A. Ehrenberg, Applicability of the International Classification of Nursing Practice (ICNP®) in the areas of nutrition and skin care, Int. J. Nurs. Terminol. Classif. 14 (1) (2003) 5–18
[25] A. Ehrenberg, C. Birgersson, Nursing documentation of leg ulcers: adherence to clinical guidelines in a Swedish primary health care district, Scand. J. Caring Sci. 17 (3) (2003) 278–284, .
[26] P.B. Elberg, Electronic patient records and innovation in health care services, Int. J. Med. Inf. 64 (2–3) (2001) 201–205.
[27] D.J. Essin, R. Dishakjian, V.L. deCiutiis, C.D. Essin, S.N. Steen, Development and assessment of a computer-based preanesthetic patient evaluation system for obstetrical anesthesia, J. Clin. Monitor. Comput. 14 (2) (1998) 95–100.
[28] N. Farhana, Z. Fitri, M. Mahinderjit, A. Samsudin, Symbolism in computer security warnings: signal icons & signal words, Int. J. Adv. Comput. Sci. Appl. 7 (10) (2016).
[29] M.E. Flanagan, J.J. Saleem, L.G. Millitello, A.L. Russ, B.N. Doebbeling, Paper- and computer-based workarounds to electronic health record use at three benchmark institutions, J. Am. Med. Inform. Assoc.: JAMIA 20 (e1) (2013) e59–e66.
[30] A. Fuggetta, Open source software––an evaluation, J. Syst. Softw. 66 (1) (2003) 77–90.
[31] W. Gaver, Technology Affordances, 1991, pp. 79–84.
[32] R.S. Goonetilleke, H. Martins Shih, H. Kai On, J. Fritsch, Effects of training and representational characteristics in icon design, Int. J. Hum Comput Stud. 55 (5) (2001) 741–760.
[33] J. Gray, D. Orr, A. Majeed, Use of Read codes in diabetes management in a south London primary care group: implications for establishing disease registers, BMJ (Clinical Research Ed.) 326 (7399) (2003) 1130.
[34] P.E. Green, V.R. Rao, Conjoint measurement for quantifying judgmental data, J. Mark. Res. 8 (3) (1971) 355.
[35] A.P. Gurses, Y. Xiao, P. Hu, User-designed information tools to support co妹妹unication and care coordination in a trauma hospital, J. Biomed. Inform. 42 (網球直播,4) (2009) 667–677.
[36] K.L. Gwebu, J. Wang, Seeing eye to eye? An exploratory study of free open source software users’ perceptions, J. Syst. Softw. 83 (11) (2010) 2287–2296.
[37] N. Harkness, The colour wheels of art, perception, science and physiology, Opt. Laser Technol. 38 (4–6) (2006) 219–229.
[38] Ø. Hauge, C. Ayala, R. Conradi, Adoption of open source software in software-intensive organizations – a systematic literature review, Inf. Softw. Technol. 52 (11) (2010) 1133–1154.
[39] K. Hayrinen, K. Saranto, P. Nykanen, Definition, structure, content, use and impacts of electronic health records: a review of the research literature, Int. J. Med. Inf. 77 (5) (2008) 291–304.
[40] N.O. Heaton, Defining usability, Displays 13 (3) (1992) 147–150.
[41] M. Henley, R. Kemp, Open source software: an introduction, Comput. Law Secur. Rev. 24 (1) (2008) 77–85.
[42] J. Horsky, S. Phansalkar, A. Desai, D. Bell, B. Middleton, Design of decision support interventions for medication prescribing, Int. J. Med. Inf. 82 (6) (2013) 492–503.
[43] S.-W. Hsiao, H.-C. Tsai, Use of gray system theory in product-color planning, Color Res. Appl. 29 (3) (2004) 222–231.
[44] P.-J.-H. Hu, P.-C. Ma, P.Y.K. Chau, Evaluation of user interface designs for information retrieval systems: a computer-based experiment, Decis. Support Syst. 27 (1–2) (1999) 125–143.
[45] P.M. Hund, J. Dowell, K. Mueller, Representation of time in digital calendars: an argument for a unified, continuous and multi-granular calendar view, Int. J. Hum Comput Stud. 72 (1) (2014) 1–11.
[46] I. Iakovidis, Towards personal health record: Current situation, obstacles and trends in implementation of electronic healthcare record in Europe Disclaimer: the view developed in this paper is that of the author and does not necessarily reflect the position of the European Co妹妹ission. 1, Int. J. Med. Inf. 52 (1–3) (1998) 105–115.
[47] O. Inbar, N. Tractinsky, J. Meyer, Minimalism in information visualization: Attitudes towards maximizing the data-ink ratio, in: Proceedings of the 14th European Conference on Cognitive Ergonomics Invent! Explore! - ECCE ’07, 185, 2007.
[48] Institute of Medicine (US) Co妹妹ittee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century, 2001. National Academies Press (US).
[49] D.A. Jordan, K.R. McKeown, K.J. Concepcion, S.K. Feiner, V. Hatzivassiloglou, Generation and evaluation of intraoperative inferences for automated health care briefings on patient status after bypass surgery, J. Am. Med. Inform. Assoc. 8 (3) (2001) 267–280.
[50] H.K. Knudsen, J.R. Havens, Using conjoint analysis to study health policy changes: An example from a cohort of persons who use drugs, Int. J. Drug Policy 98 (2021), 103425.
[51] C. Kovner, L. Schuchman, C. Mallard, The application of pen-based computer technology to home health care, Comput. Nurs. 15 (5) (1997) 237–244.
[52] R. Kukafka, J.S. Ancker, C. Chan, J. Chelico, S. Khan, S. Mortoti, K. Natarajan, K. Presley, K. Stephens, Redesigning electronic health record systems to support public health, J. Biomed. Inform. 40 (4) (2007) 398–409.
[53] Kushniruk, A. W., Patel, V. L., & Cimino, J. J. (1997). Usability testing in medical informatics: cognitive approaches to evaluation of information systems and user interfaces, in: Proceedings: A Conference of the American Medical Informatics Association. AMIA Fall Symposium, pp. 218–222.
[54] A. Kuzinas, The power of colour on content: associations, evoked by simple and complex pictures, Proc. – Soc. Behav. Sci. 84 (2013) 1397–1402.
[55] J.-B. Lamy, L.F. Soualmia, G. Kerdelhu´e, A. Venot, C. Duclos, Validating the semantics of a medical iconic language using ontological reasoning, J. Biomed. Inform. 46 (1) (2013) 56–67.
[56] F.W. Lancaster, A.J. Warner, F.W. Lancaster, Information Retrieval Today Rev., retitled and expanded ed., Information Resources Press, 1993.
[57] K.N. Lodding, Iconic interfacing, IEEE Comput. Graph. Appl. 3 (2) (1983) 11–20.
[58]R.D. Luce, J.W. Tukey, Simultaneous conjoint measurement: a new type of fundamental measurement, J. Math. Psychol. 1 (1) (1964) 1–27.
[59]J. Lundin, G. Lymer, L.E. Holmquist, B. Brown, M. Rost, Integrating students’ mobile technology in higher education, Int. J. Mob. Learn. Org. 4 (1) (2010) 1.
[60]D.C. Mattson, J. Yang, The Child Therapy Tracking System (CTTS): a model for an expressive therapy electronic health record (EHR), Arts Psychother. 40 (5) (2013) 509–518.
[61]C.J. McDonald, G. Schadow, M. Barnes, P. Dexter, J.M. Overhage, B. Mamlin, J. M. McCoy, Open Source software in medical informatics—why, how and what, Int. J. Med. Inf. 69 (2–3) (2003) 175–184.
[62]J.A. Menke, C.W. Broner, D.Y. Campbell, M.Y. McKissick, J.A. Edwards-Beckett, Computerized clinical documentation system in the pediatric intensive care unit, BMC Med. Inf. Decis. Making 1 (1) (2001) 3.
[63]R. Michalski, J. Grobelny, The role of colour preattentive processing in human–computer interaction task efficiency: a preliminary study, Int. J. Ind. Ergon. 38 (3–4) (2008) 321–332.
[64] S.H. Min, H.Y. Kim, Y.J. Kwon, S.Y. Sohn, Conjoint analysis for improving the e-book reader in the Korean market, Exp. Syst. Appl. 38 (10) (2011) 12923–12929. [65]R. Morris, M. Javed, O. Bodger, S.H. Gorse, D. Williams, A comparison of two smartphone applications and the validation of smartphone applications as tools for fluid calculation for burns resuscitation, Burns 40 (5) (2014) 826–834.
[66] L. Nguyen, E. Bellucci, L.T. Nguyen, Electronic health records implementation: An evaluation of information system impact and contingency factors, Int. J. Med. Inf. 83 (11) (2014) 779–796.
[67] G. Nilsson, H. Ahlfeldt, L.-E. Strender, Textual content, health problems and diagnostic codes in electronic patient records in general practice, Scand. J. Prim. Health Care 21 (1) (2003) 33–36.
[68] I.M. Okkes, A. Groen, S.K. Oskam, H. Lamberts, Advantages of long observation in episode-oriented electronic patient records in family practice, Methods Inf. Med. 40 (3) (2001) 229–235.
[69] A.M. Ongkeko Jr., R.G. Fernandez, P.G. Sylim, A.J.P. Amoranto, M.-I. Ronquillo- Sy, A.D.F. Santos, J.G. Fabia, P.H. Fernandez-Marcelo, Co妹妹unity Health Information and Tracking System (CHITS): lessons from eight years implementation of a pioneer electronic medical record system in the philippines, Acta Med. Philip. 50 (4) (2016).
[70] A. Paivio, Mental Representations: A Dual Coding Approach, Oxford Univ. Pr, 1990 [u.a.].
[71] K.M. Perreira, E.E. Telles, The color of health: Skin color, ethnoracial classification, and discrimination in the health of Latin Americans, Soc Sci Med 116 (2014) 241–250.
[72] M. Pringle, P. Ward, C. Chilvers, Assessment of the completeness and accuracy of computer medical records in four practices co妹妹itted to recording data on computer, Brit. J. Gen. Prac.: J. Roy. College Gen. Practit. 45 (399) (1995) 537–541.
[73] C. Pyper, J. Amery, M. Watson, C. Crook, Patients’ experiences when accessing their on-line electronic patient records in primary care, Brit. J. Gen. Prac.: J. Roy. College Gen. Practit. 54 (498) (2004) 38–43.
[74] B. Rahimi, V. Vimarlund, T. Timpka, Health information system implementation: a qualitative meta-analysis, J. Med. Syst. 33 (5) (2009) 359–368.
[75] Rathee, R., Rajain, P., 2019. Department of management studies, deenbandhu chhotu ram university of science and technology, in: 50th K.M. Stone, N.H. 1, Murthal, Haryana 131039, India. (2019). Role Colour Plays in Influencing Consumer Behaviour. International Research Journal of Business Studies, 12(3), 209–222.
[76] D.D. Reidpath, P. Allotey, Opening up public health: a strategy of information and co妹妹unication technology to support population health, Lancet (London, England) 373 (9668) (2009) 1050–1051.
[77] C.B. Reznich, Applying minimalist design principles to the problem of computer anxiety, Comput. Human Behav. 12 (2) (1996) 245–261.
[78] S. Riahi, I. Fischler, M.I. Stuckey, P.E. Klassen, J. Chen, The value of electronic medical record implementation in mental health care: a case study, JMIR Med. Inform. 5 (1) (2017) e1.
[79] P. Rosinski, M. Squire, Strange bedfellows: human-computer interaction, interface design, and composition pedagogy, Comput. Compos. 26 (3) (2009) 149–163
[80]T.P. Saarela, M.S. Landy, Combination of texture and color cues in visual segmentation, Vision Res. 58 (2012) 59–67
[81] J.J. Saleem, A.L. Russ, C.F. Justice, H. Hagg, P.R. Ebright, P.A. Woodbridge, B. N. Doebbeling, Exploring the persistence of paper with the electronic health record, Int. J. Med. Inf. 78 (9) (2009) 618–628.
[82] Y.B. Salman, H.-I. Cheng, P.E. Patterson, Icon and user interface design for emergency medical information systems: a case study, Int. J. Med. Inf. 81 (1) (2012) 29–35.
[83]K.B. Schloss, E.D. Strauss, S.E. Palmer, Object color preferences, Color Res. Appl. n/a-n/a. (2012).
[84]B. Shackel, Human–computer interaction – whence and whither? Interact. Comput. 21 (5–6) (2009) 353–366.
[85]B. Shneiderman, C. Plaisant, Designing the User Interface: Strategies for Effective Human-Computer Interaction, fifth ed., Addison-Wesley, 2010.
[86]A. Sigfridsson, A. Sheehan, On qualitative methodologies and dispersed co妹妹unities: reflections on the process of investigating an open source co妹妹unity, Inf. Softw. Technol. 53 (9) (2011) 981–993.
[87]R. Subramanyam, M. Xia, Free/Libre Open Source Software development in developing and developed countries: a conceptual framework with an exploratory study, Decis. Support Syst. 46 (1) (2008) 173–186.
[88]P.C. Tang, M.P. LaRosa, S.M. Gorden, Use of computer-based records, completeness of documentation, and appropriateness of documented clinical decisions, J. Am. Med. Inform. Assoc.: JAMIA 6 (3) (1999) 245–251.
[89]T.P. Thyvalikakath, M.P. Dziabiak, R. Johnson, M.H. Torres-Urquidy, A. Acharya, J. Yabes, T.K. Schleyer, Advancing cognitive engineering methods to support user interface design for electronic health records, Int. J. Med. Inf. 83 (4) (2014) 292–302, .
[90]H.-C. Tsai, J.-R. Chou, Automatic design support and image evaluation of two-coloured products using colour association and colour harmony scales and genetic algorithm, Comput. Aid. Des. 39 (9) (2007) 818–828.
[91]A.M. van Ginneken, The computerized patient record: balancing effort and benefit, Int. J. Med. Inf. 65 (2) (2002) 97–119.
[92]Z. Wang, M.R. Nelson, Tablet as human: How intensity and stability of the usertablet relationship influences users’ impression formation of tablet computers,Comput. Human Behav. 37 (2014) 81–93.
[93] C.R. Weir, J.J.R. Nebeker, B.L. Hicken, R. Campo, F. Drews, B. Lebar, A cognitive task analysis of information management strategies in a computerized provider order entry environment, J. Am. Med. Inform. Assoc.: JAMIA 14 (1) (2007)65–75.
[94] H.-C. Wen, Y.-S. Ho, W.-S. Jian, H.-C. Li, Y.-H.-E. Hsu, Scientific production of electronic health record research, 1991–2005, Comput. Methods Programs Biomed. 86 (2) (2007) 191–196.
[95] L.E. Wood, User 去狐臭產品,Interface Design: Bridging the Gap from User Requirements to Design, in: L. E. Wood (Ed.), 1st ed. CRC Press, 2018.
[96] C.Q. Wu, A neuroanatomically-based model for human color vision, 1471–2202-11-S1-P143, BMC Neurosci. 11(S1) (2010) P143.
[97]H. Rippen, W. Yasnoff, The EHR in Population Health, in: Aspects of the Computerbased Patient Record, Springer, 2006.
[98] S. Zuboff, In the age of the smart machine: The future of work and power, Basic Books (1988).
[99] M. Curl, D. Robinson, Hand-held computers in clinical audit: A comparison with established paper and pencil methods, Int. J. Health Care Qual. Assur. 7 (3)(1994) 16–20.
[100] R.J. Lilford, P. Bingham, G.L. Bourne, T. Chard, Computerized histories facilitate patient care in a termination of pregnancy clinic: The use of a small computer to obtain and reproduce patient information, British J. Obstet. Gynaecol. 92 (4) (1985) 333–340.
[101] P.B. Marr, E. Duthie, K.S. Glassman, D.M. Janovas, J.B. Kelly, E. Graham, C.T. Kovner, A. Rienzi, N.K. Roberts, D. Schick, Bedside terminals and quality of nursing documentation, Comput. Nurs. 11 (4) (1993) 176–182.
[102] H. Nishitani, Human-computer interaction in the new process technology,J. Process Control 6 (1996) 111–117.
[103] I.-H. Shen, K.-K. Shieh, C.-Y. Chao, D.-S. Lee, Lighting, font style, and polarity on visual performance and visual fatigue with electronic paper displays, Displays 30 (2) (2009) 53–58.
[104]B.Shneiderman. Designing the user interface: Strategies for effective human-computer interaction, 4th ed, Pearson/Addison Wesley, 2004.
[105] C. Brezinka, 3D ultrasound imaging of the human corpus luteum, Reprod. Biol. 14(2) (2014) 110–114.
[106] Jung, C. G., & Jung, C. G. (1969). The structure and dynamics of the psyche (2d ed).Princeton University Press.
[107] P. Vukovic, 7 user interface design trends you need to know about. 99designs. .
[108] L. Clum. 5 Current Trends In UI Design. QNT Gall凡士林保濕霜,ery, 2014.
[109] I.-H. Shen, K.-K. Shieh, C.-Y. Chao, D.-S. Lee, Lighting, font style, and polarity on visual performance and visual fatigue with electronic paper displays, Displays 30 (3) (2009) 53–58.
[110] S.E. Palmer, K.B. Schloss, An ecological valence theory of human color preference, Proc. Natl. Acad. Sci. 107 (19) (2010) 8877–8882.
[111] R. Michalski, J. Grobelny, The role of colour preattentive processing in human–computer interaction task efficiency: A preliminary study, Int. J. Ind. Ergon. 38 (3–4) (2008) 321–332.
[112]S. Rufiange, C.P. Fuhrman, Visualizing protected variations in evolving software designs, J. Syst. Softw. 88 (2014) 231–249.
[113]J. Viitanen, H. Hypp¨onen, T. L¨a¨averi, J. V¨ansk¨a, J. Reponen, I. Winblad, National questionnaire study on clinical ICT systems proofs: Physicians suffer from poor usability, Int. J. Med. Inform. 80 (10) (2011) 708–725.
[114]T.P. Thyvalikakath, M.P. Dziabiak, R. Johnson, M.H. Torres-Urquidy, A. Acharya, J. Yabes, T.K. Schleyer, Advancing cognitive engineering methods to support user interface design for electronic health records, Int. J. Med. Inform. 83 (4) (2014) 292–302.
[115]G. Chrysos, A. Dollas, N. Bourbakis, An embedded software-reconfigurable color segmentation architecture for image processing systems, Microprocess. Microsyst. 36 (3) (2012) 215–231.
[116] D. Cyr, M. Head, H. Larios, Colour appeal in website design within and across cultures: A multi-method evaluation, International Journal of Human-Computer Studies 68 (1–2) (2010) 1–21.
[117] M. Rouse, What is Laptop Computer? Computers.
[118] C. Barnatt, Mobile Computing. Explaining Computers.
[119]C. Chapman. Creating Your Own Color Palettes. Color Theory for Designer, 2010.
[120] H. Bacic. Apple Is Embracing The Flat Design Trend—Are You? Forbes, 2013.
[121]R. Tanioka, Y. Yasuhara, K. Osaka, Y. Kai, Y. Zhao, T. Tanioka, K. Takase, M.J. S. Dino, R.C. Locsin, Autonomic nervous activity of patient with schizophrenia during Pepper CPGE-led upper limb range of motion exercises, Enfermería Clínica 30 (2020) 48–53.
[122]R. Kukafka, J.S. Ancker, C. Chan, J. Chelico, S. Khan, S. Mortoti, K. Natarajan, K. Presley, K. Stephens, Redesigning electronic health record systems to support public health, J. Biomed. Inform. 40 (2007) 398–409.
[123] Y. Yasuhara, T. Tanioka, Y. Kai, Y. Tsujigami, K. Uematsu, M.J.S. Dino, R. De Castro Locsin, S.O. Schoenhofer, Potential legal issues when caring healthcare robot with co妹妹unication in caring functions are used for older adult care, Enfermería Clínica 30 (2020) 54–59.
[124] de Guzman, M.J.S. Di˜no, Examining the role of Filipino elderly attitudes toward computer and internet on their behavioral intention for telehealth participation, Educ. Gerontol. 46 (3) (2020) 140–149. |
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