Wipharat Phokee

Mrs. Wipharat Phokee

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 May 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
WPWipharat Phokee
Wipharat Phokee
Sunisa ChaikliengSunisa Chaiklieng
Sunisa Chaiklieng
PBPornpimon Boriwan
Pornpimon Boriwan
TPThanathorn Phoka
Thanathorn Phoka
Jeroen VanoirbeekJeroen Vanoirbeek
Jeroen Vanoirbeek
Surapong ChatpunSurapong Chatpun
Surapong Chatpun
Failure Mode and Effect Analysis (FMEA) is crucial for identifying risk reduction opportunities in design. This study aims to aid in the design of sophisticated medical devices by setting guidelines and addressing weaknesses in data collection and risk priority numbers (RPNs). This is achieved by developing an FMEA framework with potential efficiency and efficacy benefits for design engineers, surgeons and patients. The FMEA framework covered risk analysis and risk evaluation by integrating a cascading Delphi method to address data collection and Multi-Criteria Decision-Making (MCDM) technique to address RPN calculations. This study involved the design of a flexible fetoscope for minimally invasive fetal intervention, analyzing and evaluating risks. The cascading FMEA framework had two stages for data collection, namely risk identification by individual interview and risk evaluation by individual email. The cascading Delphi FMEA framework with MCDM identified the potential risks for the mother at the tip (risk score = 0.927) and subsequent risks such as debris loss (risk score = 0.896), material degradation (risk score = 0.896), and glue dislodging (risk score = 0.896) as critical issues. By identifying failure modes early, medical device designers can better mitigate risks during the initial design stages.

PWPirawan Wangupadcha
Pirawan Wangupadcha
SRSteven Ronsmans
Steven Ronsmans
Jeroen VanoirbeekJeroen Vanoirbeek
Jeroen Vanoirbeek
YLYuparat Limmongkon
Yuparat Limmongkon
WPWipharat Phokee
Wipharat Phokee
CJChananya Jirapornkul
Chananya Jirapornkul
Air pollution and health effects in communities near industrial areas are matters of concern in Thailand. Elevated air pollution concentrations are associated with morbidity and mortality arising from lower respiratory tract illness. In this study, we aimed to assess whether living in a community near a new industrial estate in Central Thailand was associated with an elevated incidence of lower respiratory tract illness (LRTI) among the elderly. We used data on hospital admissions from a primary hospital and sub-district-level health-promoting hospitals in six sub-districts located within a radius of 5 km from the industrial estate, between 1 November 2023 and 31 March 2024, using a cross-sectional study design. There were 1311 elderly individuals living within a radius of 3 km and 1488 between 3 and 5 km. We found a statistically significant increased risk of hospitalization for LRTI in the elderly living within a radius of less than 3 km (odds ratio: 3.43 [95% CI: 1.61–7.36] compared to those living in a radius between 3 and 5 km. Our results provide strong support for an association between hospitalization for LRTI and living distance from a new industrial estate.

30 April 2025 in Journal of Engineering Research
Verified
Journal Article
Open access
WPWipharat Phokee
Wipharat Phokee
SCSunisa Chaiklieng
Sunisa Chaiklieng
Surapong ChatpunSurapong Chatpun
Surapong Chatpun

30 December 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
PWPirawan Wangupadcha
Pirawan Wangupadcha
SRSteven Ronsmans
Steven Ronsmans
Jeroen VanoirbeekJeroen Vanoirbeek
Jeroen Vanoirbeek
YLYuparat Limmongkon
Yuparat Limmongkon
WPWipharat Phokee
Wipharat Phokee
CJChananya Jirapornkul
Chananya Jirapornkul
Air pollution and health effects in communities near industrial areas are a matter of con-cern in Thailand. Elevated air pollution concentrations are associated with morbidity and mortality arising from the lower respiratory tract. In this study, we aimed to assess if liv-ing in a community near a new industrial estate in central Thailand was associated with an elevated incidence of lower respiratory tract illness (LRTI) among the elderly. We used data on hospital admissions from a primary hospital and sub-district health promoting hospitals in six sub-districts located within a radius of 5 kilometers from the industrial estate between 1st November 2023 and 31st March 2024, using a cross-sectional study de-sign. There were 1,311 elderly are living within a radius of 3 kilometers and 1,488 between 3 and 5 kilometers. We found a statistically significant increased risk of hospitalization for LRTI in the elderly living within a radius of less than 3 kilometers (odds ratio 3.43 [95%CI: 1.61- 7.36]), compared to those living in a radius between 3 and 5 kilometers. Our results provide strong support for the associations between hospitalization for LRTI and living distance from the new industrial estate.