A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study

Computerized Tomography Scanners (CT-SCAN) provide detailed cross-sectional images of the human body which are employed for the easier detection and further analysis of abnormalities concerning the functionality and structure of the skeleton, tissues, and organs. However, the appropriate CT-SCAN sel...

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Autores:
Ortíz-Barrios, Miguel
Jaramillo-Rueda, Natalia
Petrillo, Antonella
Fernández-Mendoza, Zaury
Vidal-Pacheco, Lucelys
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8980
Acceso en línea:
https://hdl.handle.net/11323/8980
https://doi.org/10.1007/978-3-030-90966-6_6
https://repositorio.cuc.edu.co/
Palabra clave:
Computerized Tomography Scanners (CT-SCAN)
Fuzzy Analytic Hierarchy Process (FAHP)
Healthcare
Tomography equipment
VIKOR
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_e3e69ef6b2cf2957f42440d3aa454718
oai_identifier_str oai:repositorio.cuc.edu.co:11323/8980
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
title A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
spellingShingle A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
Computerized Tomography Scanners (CT-SCAN)
Fuzzy Analytic Hierarchy Process (FAHP)
Healthcare
Tomography equipment
VIKOR
title_short A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
title_full A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
title_fullStr A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
title_full_unstemmed A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
title_sort A FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case study
dc.creator.fl_str_mv Ortíz-Barrios, Miguel
Jaramillo-Rueda, Natalia
Petrillo, Antonella
Fernández-Mendoza, Zaury
Vidal-Pacheco, Lucelys
dc.contributor.author.spa.fl_str_mv Ortíz-Barrios, Miguel
Jaramillo-Rueda, Natalia
Petrillo, Antonella
Fernández-Mendoza, Zaury
Vidal-Pacheco, Lucelys
dc.subject.spa.fl_str_mv Computerized Tomography Scanners (CT-SCAN)
Fuzzy Analytic Hierarchy Process (FAHP)
Healthcare
Tomography equipment
VIKOR
topic Computerized Tomography Scanners (CT-SCAN)
Fuzzy Analytic Hierarchy Process (FAHP)
Healthcare
Tomography equipment
VIKOR
description Computerized Tomography Scanners (CT-SCAN) provide detailed cross-sectional images of the human body which are employed for the easier detection and further analysis of abnormalities concerning the functionality and structure of the skeleton, tissues, and organs. However, the appropriate CT-SCAN selection is an arduous task considering the complexity and high cost of these medical devices. This decision is even more sharpener in hospitals from Low-and-Middle-Income-Countries (LMIC) where the available budget is usually restricted and correct resource allocation should be therefore ensured while granting the greatest impact on the timeliness and efficacy of healthcare services. In this framework, multiple criteria from diverse fields need to be taken into account to satisfy the intricate requirements of users. In this regard, it is necessary to fully elicit the expectations of stakeholders as well as identify their importance in an overall decision-making context. To address these gaps, this study proposes a novel integration between the Fuzzy Analytic Hierarchy Process (FAHP) and VIKOR methods for the CT-SCAN selection problem. Initially, a Multi-Criteria Decision-Making (MCDM) model will be designed for selecting the most suitable CT-SCAN option for a particular LMIC hospital. Then IF-AHP will be applied to calculate the relative priorities of criteria and sub-criteria under uncertainty. Ultimately, VIKOR will be implemented for obtaining an overall decision-making context. To address these gaps, this study proposes a novel integration between the Fuzzy Analytic Hierarchy Process (FAHP) and VIKOR methods for the CT-SCAN selection problem. Initially, a Multi-Criteria Decision-Making (MCDM) model will be designed for selecting the most suitable CT-SCAN option for a particular LMIC hospital. Then IF-AHP will be applied to calculate the relative priorities of criteria and sub-criteria under uncertainty. Ultimately, VIKOR will be implemented for obtaining an overall appropriateness index per CT-SCAN candidate and thereby identifying the most pertinent one (s) for a specific LMIC medical institution. © 2021, Springer Nature Switzerland AG.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021
dc.date.accessioned.none.fl_str_mv 2022-01-19T20:30:54Z
dc.date.available.none.fl_str_mv 2022-01-19T20:30:54Z
dc.date.embargoEnd.none.fl_str_mv 2023
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.identifier.issn.spa.fl_str_mv 0302-9743
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dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8980
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1007/978-3-030-90966-6_6
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 0302-9743
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Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8980
https://doi.org/10.1007/978-3-030-90966-6_6
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv 1. Hounsfield, G.N.: Historical notes on computerized axial tomography. Can. Assoc. Radiol. J. 27(3), 135–142 (1976)
2. Harper, C.: CT scanners: the industry behind the science. Radiol. Technol. 51(2), 199–202 (1979)
3. Stytz, M.R., Frieder, O.: Three-dimensional medical imaging modalities: an overview. Crit. Rev. Biomed. Eng. 18(1), 1–25 (1990)
4. Wesolowski, J.R., Lev, M.H.: CT: History, technology, and clinical aspects. Semin. Ultrasound CT MRI 26(6), 376–379 (2005)
5. Mackie, T.R.: History of tomotherapy. Phys. Med. Biol. 51(13), R24, R427–R453 (2006)
6. Evseev, I., Klock, M.C.L., Paschuk, S.A., Schulte, R.W., Williams, D.C.: Computerized tomography with high-energy proton beams: tomographic image reconstruction from computer-simulated data. Braz. J. Phys. 34(3A), 804–807 (2004)
7. Sittig, D.F., Ash, J.S., Ledley, R.S.: The story behind the development of the first whole-body computerized tomography scanner as told by Robert S. Ledley. J. Am. Med. Inform. Assoc. 13(5), 465–469 (2006)
8. Huda, W., Nickoloff, E.L., Boone, J.M.: Overview of patient dosimetry in diagnostic radiology in the USA for the past 50 years. Med. Phys. 35(12), 5713–5728 (2008)
9. Holmberg, O., Malone, J., Rehani, M., McLean, D., Czarwinski, R.: Current issues and actions in radiation protection of patients. Eur. J. Radiol. 76(1), 15–19 (2010)
10. Silva, H.P., Viana, A.L.D.: Health technology diffusion in developing countries: a case study of CT scanners in Brazil. Health Policy Plan. 26(5), 385–394 (2011)
11. Barrios, M.A.O., De Felice, F., Negrete, K.P., Arenas, A.Y., Petrillo, A.: An AHP-topsis integrated model for selecting the most appropriate tomography equipment. Int. J. Inf. Technol. Decis. Mak. 15(4), 861–885 (2016)
12. Jamshidi, A., Rahimi, S.A., Ait-Kadi, D., Ruiz, A.: A comprehensive fuzzy risk-based maintenance framework for prioritization of medical devices. Appl. Soft Comput. 32, 322–334 (2015)
13. Hsu, P.-F., Wu, C.-R., Li, Y.-T.: Selection of infectious medical waste disposal firms by using the analytic hierarchy process and sensitivity analysis. Waste Manag. 28(8), 1386–1394 (2008)
14. Pecchia, L., Martin, J.L., Ragozzino, A., Mirarchi, L., Morgan, S.P.: User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner. BMC Med. Inform. Decis. Mak. 13(1), 2 (2013)
15. Ivlev, I., Vacek, J., Kneppo, P.: Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty. Eur. J. Oper. Res. 247(1), 216–228 (2015)
16. Ivlev, I., Kneppo, P., Bartak, M.: Multicriteria decision analysis: a multifaceted approach to medical equipment management. Technol. Econ. Dev. Econ. 20(3), 576–589 (2014)
17. Hummel, M.J.M., Van Rossum, W., Verkerke, G.J., Rakhorst, G.: Assessing medical technologies in development: a new paradigm of medical technology assessment. Int. J. Technol. Assess. Health Care 16(4), 1214–1219 (2000)
18. Domínguez, S., Carnero, M.C.: Fuzzy multicriteria modelling of decision making in the renewal of healthcare technologies. Mathematics 8(6), 944 (2020)
19. Ozüdoǧru, A.G.: Determination of Biomedical Device Selection Criteria | [Biyomedikal Cihaz Seçiminde Kriterlerin Önem Düzeylerinin Belirlenmesi]. In: 2018 Medical Technologies National Congress, TIPTEKNO 2018 8596889 (2018)
20. Királyová, E., Steklá, M., Donin, G.: Selection of a PET/CT scanner for the department of nuclear medicine. In: 2017 E-Health and Bioengineering Conference, EHB 2017 7995428, pp. 329–332 (2017)
21. Shamsan, A., Alzu’bi, A., Aqlan, F.: Selection of CT scanners using analytic hierarchy process and Monte Carlo simulation. In: 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 pp. 1997–2002 (2017)
22. Hajdau, C., Spiridonica, A.-M.: AHP - Based weighting of criteria for medical equipment selection. In: 2015 E-Health and Bioengineering Conference, EHB 2015 7391519 (2016)
23. Cho, K.-T., Kim, S.-M.: Selecting medical devices and materials for development in Korea: the analytic hierarchy process approach. Int. J. Health Plan. Manag. 18(2), 161–174 (2003)
24. Meshram, S.G., Alvandi, E., Singh, V.P., Meshram, C.: Comparison of AHP and fuzzy AHP models for prioritization of watersheds. Soft. Comput. 23(24), 13615–13625 (2019). https://doi.org/10.1007/s00500-019-03900-z
25. Chen, T.: Enhancing the efficiency and accuracy of existing FAHP decision-making methods. EURO J. Decis. Processes 8(3–4), 177–204 (2020). https://doi.org/10.1007/s40070-020-00115-8
26. Zhang, J., Li, L., Zhang, J., et al.: Private-label sustainable supplier selection using a fuzzy entropy-VIKOR-based approach. Complex Intell. Syst. (2021)
27. Gupta, R., Kumar, S.: Intuitionistic fuzzy scale-invariant entropy with correlation coefficients-based VIKOR approach for multi-criteria decision-making. Granul. Comput. (2021). https://doi.org/10.1007/s41066-020-00252-08
28. Yang, W., Pang, Y., Shi, J., Wang, C.: Linguistic hesitant intuitionistic fuzzy decision-making method based on VIKOR. Neural Comput. Appl. 29(7), 613–626 (2016). https://doi.org/10.1007/s00521-016-2526-y
29. Vonder, M., Dorrius, M.D., Vliegenthart, R.: Latest CT technologies in lung cancer screening: protocols and radiation dose reduction. Transl. Lung Cancer Res. 10(2), 1154–1164 (2021). https://doi.org/10.21037/tlcr-20-808
30. Ortíz-Barrios, M.A., Escorcia-Caballero, J.P., Sánchez-Sánchez, F., De Felice, F., Petrillo, A.: Efficiency analysis of integrated public hospital networks in outpatient internal medicine. J. Med. Syst. 41(10), 1–18 (2017). https://doi.org/10.1007/s10916-017-0812-6
31. Ortiz Barrios, M., Felizzola Jiménez, H.: Reduction of average lead time in outpatient service of obstetrics through six sigma methodology. In: Bravo, J., Hervás, R., Villarreal, V. (eds.) AmIHEALTH 2015. LNCS, vol. 9456, pp. 293–302. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-26508-7_29
32. Ortiz-Barrios, M., Miranda-De la Hoz, C., López-Meza, P., Petrillo, A., De Felice, F.: A case of food supply chain management with AHP, DEMATEL, and TOPSIS. J. Multi-Criteria Decis. Anal. 27(1–2), 104–128 (2020). https://doi.org/10.1002/mcda.1693
33. Ortiz-Barrios, M., Cabarcas-Reyes, J., Ishizaka, A., Barbati, M., Jaramillo-Rueda, N., de Jesús Carrascal-Zambrano, G.: A hybrid fuzzy multi-criteria decision making model for selecting a sustainable supplier of forklift filters: a case study from the mining industry. Ann. Oper. Res. (2020). https://doi.org/10.1007/s10479-020-03737-y
34. Ortíz-Barrios, M., Neira-Rodado, D., Jiménez-Delgado, G., Hernández-Palma, H.: Using FAHP-VIKOR for operation selection in the flexible job-shop scheduling problem: a case study in textile industry. In: Tan, Y., Shi, Y., Tang, Q. (eds.) ICSI 2018. LNCS, vol. 10942, pp. 189–201. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93818-9_18
35. Ortíz-Barrios, M., Nugent, C., García-Constantino, M., Jimenez-Delgado, G.: Identifying the most appropriate classifier for underpinning assistive technology adoption for people with dementia: an integration of Fuzzy AHP and VIKOR Methods. In: Duffy, V.G. (ed.) HCII 2020. LNCS, vol. 12199, pp. 406–419. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49907-5_29
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spelling Ortíz-Barrios, MiguelJaramillo-Rueda, NataliaPetrillo, AntonellaFernández-Mendoza, ZauryVidal-Pacheco, Lucelys2022-01-19T20:30:54Z2022-01-19T20:30:54Z202120230302-97431611-3349https://hdl.handle.net/11323/8980https://doi.org/10.1007/978-3-030-90966-6_6Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Computerized Tomography Scanners (CT-SCAN) provide detailed cross-sectional images of the human body which are employed for the easier detection and further analysis of abnormalities concerning the functionality and structure of the skeleton, tissues, and organs. However, the appropriate CT-SCAN selection is an arduous task considering the complexity and high cost of these medical devices. This decision is even more sharpener in hospitals from Low-and-Middle-Income-Countries (LMIC) where the available budget is usually restricted and correct resource allocation should be therefore ensured while granting the greatest impact on the timeliness and efficacy of healthcare services. In this framework, multiple criteria from diverse fields need to be taken into account to satisfy the intricate requirements of users. In this regard, it is necessary to fully elicit the expectations of stakeholders as well as identify their importance in an overall decision-making context. To address these gaps, this study proposes a novel integration between the Fuzzy Analytic Hierarchy Process (FAHP) and VIKOR methods for the CT-SCAN selection problem. Initially, a Multi-Criteria Decision-Making (MCDM) model will be designed for selecting the most suitable CT-SCAN option for a particular LMIC hospital. Then IF-AHP will be applied to calculate the relative priorities of criteria and sub-criteria under uncertainty. Ultimately, VIKOR will be implemented for obtaining an overall decision-making context. To address these gaps, this study proposes a novel integration between the Fuzzy Analytic Hierarchy Process (FAHP) and VIKOR methods for the CT-SCAN selection problem. Initially, a Multi-Criteria Decision-Making (MCDM) model will be designed for selecting the most suitable CT-SCAN option for a particular LMIC hospital. Then IF-AHP will be applied to calculate the relative priorities of criteria and sub-criteria under uncertainty. Ultimately, VIKOR will be implemented for obtaining an overall appropriateness index per CT-SCAN candidate and thereby identifying the most pertinent one (s) for a specific LMIC medical institution. © 2021, Springer Nature Switzerland AG.Ortíz-Barrios, MiguelJaramillo-Rueda, NataliaPetrillo, AntonellaFernández-Mendoza, ZauryVidal-Pacheco, Lucelysapplication/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Computer Sciencehttps://link.springer.com/chapter/10.1007/978-3-030-90966-6_6Computerized Tomography Scanners (CT-SCAN)Fuzzy Analytic Hierarchy Process (FAHP)HealthcareTomography equipmentVIKORA FAHP-VIKOR approach for supporting the selection of tomography equipment in LMIC hospitals: a case studyPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersion1. Hounsfield, G.N.: Historical notes on computerized axial tomography. Can. Assoc. Radiol. J. 27(3), 135–142 (1976)2. Harper, C.: CT scanners: the industry behind the science. Radiol. Technol. 51(2), 199–202 (1979)3. Stytz, M.R., Frieder, O.: Three-dimensional medical imaging modalities: an overview. Crit. Rev. Biomed. Eng. 18(1), 1–25 (1990)4. Wesolowski, J.R., Lev, M.H.: CT: History, technology, and clinical aspects. Semin. Ultrasound CT MRI 26(6), 376–379 (2005)5. Mackie, T.R.: History of tomotherapy. Phys. Med. Biol. 51(13), R24, R427–R453 (2006)6. Evseev, I., Klock, M.C.L., Paschuk, S.A., Schulte, R.W., Williams, D.C.: Computerized tomography with high-energy proton beams: tomographic image reconstruction from computer-simulated data. Braz. J. Phys. 34(3A), 804–807 (2004)7. Sittig, D.F., Ash, J.S., Ledley, R.S.: The story behind the development of the first whole-body computerized tomography scanner as told by Robert S. Ledley. J. Am. Med. Inform. Assoc. 13(5), 465–469 (2006)8. Huda, W., Nickoloff, E.L., Boone, J.M.: Overview of patient dosimetry in diagnostic radiology in the USA for the past 50 years. Med. Phys. 35(12), 5713–5728 (2008)9. Holmberg, O., Malone, J., Rehani, M., McLean, D., Czarwinski, R.: Current issues and actions in radiation protection of patients. Eur. J. Radiol. 76(1), 15–19 (2010)10. Silva, H.P., Viana, A.L.D.: Health technology diffusion in developing countries: a case study of CT scanners in Brazil. Health Policy Plan. 26(5), 385–394 (2011)11. Barrios, M.A.O., De Felice, F., Negrete, K.P., Arenas, A.Y., Petrillo, A.: An AHP-topsis integrated model for selecting the most appropriate tomography equipment. Int. J. Inf. Technol. Decis. Mak. 15(4), 861–885 (2016)12. Jamshidi, A., Rahimi, S.A., Ait-Kadi, D., Ruiz, A.: A comprehensive fuzzy risk-based maintenance framework for prioritization of medical devices. Appl. Soft Comput. 32, 322–334 (2015)13. Hsu, P.-F., Wu, C.-R., Li, Y.-T.: Selection of infectious medical waste disposal firms by using the analytic hierarchy process and sensitivity analysis. Waste Manag. 28(8), 1386–1394 (2008)14. Pecchia, L., Martin, J.L., Ragozzino, A., Mirarchi, L., Morgan, S.P.: User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner. BMC Med. Inform. Decis. Mak. 13(1), 2 (2013)15. Ivlev, I., Vacek, J., Kneppo, P.: Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty. Eur. J. Oper. Res. 247(1), 216–228 (2015)16. Ivlev, I., Kneppo, P., Bartak, M.: Multicriteria decision analysis: a multifaceted approach to medical equipment management. Technol. Econ. Dev. Econ. 20(3), 576–589 (2014)17. Hummel, M.J.M., Van Rossum, W., Verkerke, G.J., Rakhorst, G.: Assessing medical technologies in development: a new paradigm of medical technology assessment. Int. J. Technol. Assess. Health Care 16(4), 1214–1219 (2000)18. Domínguez, S., Carnero, M.C.: Fuzzy multicriteria modelling of decision making in the renewal of healthcare technologies. Mathematics 8(6), 944 (2020)19. Ozüdoǧru, A.G.: Determination of Biomedical Device Selection Criteria | [Biyomedikal Cihaz Seçiminde Kriterlerin Önem Düzeylerinin Belirlenmesi]. In: 2018 Medical Technologies National Congress, TIPTEKNO 2018 8596889 (2018)20. Királyová, E., Steklá, M., Donin, G.: Selection of a PET/CT scanner for the department of nuclear medicine. In: 2017 E-Health and Bioengineering Conference, EHB 2017 7995428, pp. 329–332 (2017)21. Shamsan, A., Alzu’bi, A., Aqlan, F.: Selection of CT scanners using analytic hierarchy process and Monte Carlo simulation. In: 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 pp. 1997–2002 (2017)22. Hajdau, C., Spiridonica, A.-M.: AHP - Based weighting of criteria for medical equipment selection. In: 2015 E-Health and Bioengineering Conference, EHB 2015 7391519 (2016)23. Cho, K.-T., Kim, S.-M.: Selecting medical devices and materials for development in Korea: the analytic hierarchy process approach. Int. J. Health Plan. Manag. 18(2), 161–174 (2003)24. Meshram, S.G., Alvandi, E., Singh, V.P., Meshram, C.: Comparison of AHP and fuzzy AHP models for prioritization of watersheds. Soft. Comput. 23(24), 13615–13625 (2019). https://doi.org/10.1007/s00500-019-03900-z25. Chen, T.: Enhancing the efficiency and accuracy of existing FAHP decision-making methods. EURO J. Decis. Processes 8(3–4), 177–204 (2020). https://doi.org/10.1007/s40070-020-00115-826. Zhang, J., Li, L., Zhang, J., et al.: Private-label sustainable supplier selection using a fuzzy entropy-VIKOR-based approach. Complex Intell. Syst. (2021)27. Gupta, R., Kumar, S.: Intuitionistic fuzzy scale-invariant entropy with correlation coefficients-based VIKOR approach for multi-criteria decision-making. Granul. Comput. (2021). https://doi.org/10.1007/s41066-020-00252-0828. Yang, W., Pang, Y., Shi, J., Wang, C.: Linguistic hesitant intuitionistic fuzzy decision-making method based on VIKOR. Neural Comput. Appl. 29(7), 613–626 (2016). https://doi.org/10.1007/s00521-016-2526-y29. Vonder, M., Dorrius, M.D., Vliegenthart, R.: Latest CT technologies in lung cancer screening: protocols and radiation dose reduction. Transl. Lung Cancer Res. 10(2), 1154–1164 (2021). https://doi.org/10.21037/tlcr-20-80830. Ortíz-Barrios, M.A., Escorcia-Caballero, J.P., Sánchez-Sánchez, F., De Felice, F., Petrillo, A.: Efficiency analysis of integrated public hospital networks in outpatient internal medicine. J. Med. Syst. 41(10), 1–18 (2017). https://doi.org/10.1007/s10916-017-0812-631. Ortiz Barrios, M., Felizzola Jiménez, H.: Reduction of average lead time in outpatient service of obstetrics through six sigma methodology. In: Bravo, J., Hervás, R., Villarreal, V. (eds.) AmIHEALTH 2015. LNCS, vol. 9456, pp. 293–302. 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Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49907-5_29PublicationORIGINALA FAHP-VIKOR Approach for Supporting the Selection of Tomography Equipment in LMIC Hospitals.pdfA FAHP-VIKOR Approach for Supporting the Selection of Tomography Equipment in LMIC Hospitals.pdfapplication/pdf79056https://repositorio.cuc.edu.co/bitstreams/d6e0c656-be77-46ce-9018-4ab20ee756f7/download708422412ead54782b01d6fdaa30f549MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/cd25151f-b741-4efb-bc9b-0681e2473824/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/4b7b2465-10cb-4b1e-9d2a-336b55d41c65/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILA FAHP-VIKOR Approach for Supporting the Selection of Tomography Equipment in LMIC Hospitals.pdf.jpgA FAHP-VIKOR Approach for Supporting the Selection of Tomography Equipment in LMIC 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