Influencing Factors in Prioritized Model of Patient Treatment with Mobile Computed Tomography Scan for Medium-Sized Hospitals in Thailand

Chamaiporn Sudasna Na Ayudhya, Achara Chandrachai, Kriskrai Sitthiseripratip, Sombat Muengtaweepongsa, Nattee Niparnan

Abstract


The purpose of this study was to determine the factors influencing the prioritization model for the treatment of patients with mobile computed tomography (mCT) scanning. The main research process entailed value innovation product planning (VIPP), which focuses on three steps: idea generation; idea screening; concept testing and development. This was applied research comprising primary and secondary data, based on contextual research in conjunction with in-depth interviews from neuro-medical and senior professional level staff. Through the VIPP process, here were show three factors affecting the calculation in the scheduling model: the reservation queue to use mCT, the distance between the hospitals and the severity or waiting time of the patients. The results indicate that it is necessary to consider these factors in developing and testing scheduling equations using a specially developed computational program that can handle scheduling problems with limited resources to support the determination of mCT space and schedules, next phase.

Keywords


Mobile CT scan, new product development process, queuing, limited resource

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References


Bureau of Communicable Diseases, “World stroke campaign 2016 about world stroke day 2016”, Available at: http://www.thaincd.com/document/hot%20news/WorldStrokeday2016.pdf, accessed 19 July 2017.

Walter S, Kostpopoulos P, Haass A, Helwig S, Keller I, Licina T, et al.., “Bringing the hospital to the patient: first treatment of stroke patients at the emergency site”, PLoS One, 5(10):e13758, 2010.

DOI: 10.1371/journal.pone.0013758.

Na Ayudhya CS, Chandrachai A, Sitthiseripratip K, Niparnan N, “Demand of Innovative Services on a Computed Tomography Scan”, In: Proceedings of MATEC Web of Conferences, 68, 18003(2016),

DOI: 10.1051/matecconf/20166818003.

Bureau of Policy and Strategy office of the Permanent Secretary, “Progress Reports, Regional Capacity Building Framework”, Available at http://bps.moph.go.th/new_bps/sites/default/files/3.meeting%20staffing%20161159.pdf, accessed 27 July 2017.

Booz AH, New products management for the 1980s, Booz, Allen & Hamilton, Inc., New York, 1982.

Rosenthal AKaSR, Integrating the Process of Product Development Initiation: Transitions to a More Manageable ‘Fuzzy Front End’, Sloan Management Review, winter, 1997.

Koen P, M. Ajamian G, Boyce S, Clamen A, Fisher E, Fountoulakis S, et al., Fuzzy Front End: Effective Methods, Tools, and Techniques, Industrial Research, pp.5–35, 2002.

G. Cooper R, “The Stage-Gate Idea-to-Launch Process–Update, What’s New and NexGen Systems”, Journal of Product Innovation Management, 25(3), pp.213-232, 2008.

Na Ayudhya. P. I, “‘Value Innovation’ Strategic Product Planning”, Academic Journal of Architecture, pp.161-174, 2010.

Kim JW, Lee SH, Son Y-J, Yang H-J, Chung YS, Jung H-W, “Mobile computed tomography: early experience in Korea”, Journal of Korean Neurosurgical Society, 48(1), pp.31-6, 2010. DOI: 10.3340/jkns.2010.48.1.31.

Jeon JS, Lee SH, Son YJ, Yang HJ, Chung YS, Jung HW, “Mobile computed tomography : three year clinical experience in Korea”, Journal of Korean Neurosurgical Society, 53(1), pp.39-42, 2013.

DOI: 10.3340/jkns.2013.53.1.39.

Dietrich M, Walter S, Ragoschke-Schumm A, Helwig S, Levine S, Balucani C, et al., “Is prehospital treatment of acute stroke too expensive? An economic evaluation based on the first trial”, Cerebrovascular Diseases, 38(6), pp.457-463, 2014. DOI: 10.1159/000371427.

Phyathai Hospital, “Mobile CT & Stroke Treatment Unit 2017”, Available at: https://www.phyathai.com/article_detail/1366/th/Mobile_CT_&_Stroke_Treatment_Unit_%E0%B8%AB%E0%B8%99%E0%B9%88%E0%B8%A7%E0%B8%A2%E0%B8%A3%E0%B8%B1%E0%B8%81%E0%B8%A9%E0%B8%B2%E0%B8%AD%E0%B8%B1%E0%B8%A1%E0%B8%9E%E0%B8%B2%E0%B8%95%E0%B9%80%E0%B8%89%E0%B8%B5%E0%B8%A2%E0%B8%9A%E0%B8%9E%E0%B8%A5%E0%B8%B1%E0%B8%99%E0%B9%80%E0%B8%84%E0%B8%A5%E0%B8%B7%E0%B9%88%E0%B8%AD%E0%B8%99%E0%B8%97%E0%B8%B5%E0%B9%88 , accessed 24 May 2017.

Agrawal D, Saini R, Singh PK, Sinha S, Gupta DK, Satyarthee GD, et al., “Bedside computed tomography in traumatic brain injury: Experience of 10,000 consecutive cases in neurosurgery at a level 1 trauma center in India”, Neurology India, 64(1), 62, 2016.

John S, Stock S, Cerejo R, Uchino K, Winners S, Russman A, et al., “Brain imaging using mobile CT: current status and future prospects”, Journal of Neuroimaging, 26(1), pp.5-15, 2016.

Fassbender K, Grotta JC, Walter S, Grunwald IQ, Ragoschke-Schumm A, Saver JL, “Mobile stroke units for prehospital thrombolysis, triage, and beyond: benefits and challenges”, The Lancet Neurology, 16(3), pp.227-37, 2017. DOI: 10.1016/s1474-4422(17)30008-x.

Yamane, T, Statistics: An Introductory Analysis, Third edition, Harper and Row Publication, New York, 1973.

Prasat Neurological Institute, Clinical Nursing Practice Guidelines for Stroke, Tana Press Co.,Ltd, Bangkok, pp.4-5, 2016.

Fertikh, D., Taylor, C. R, “Head Computed Tomography Scanning: Background, Indications”, Contraindications. Medscape 2013, Available at: https://emedicine.medscape.com/article/2110836-overview#showall, accessed 21 August 2017.




DOI: https://doi.org/10.24203/ajas.v7i1.5741

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