Published Jul 15, 2010
Jose Montevechi Italo Freire Guimaraes Mona Liza Moura De Oliveira Jonathan Daniel Friend


This article presents the Analytical Hierarchy Process (AHP) as an aiding approach in decision-making, applied to the technical evaluation of the acquisition process of ultrasonic device in a private hospital in Brazil. Some steps and principles of AHP, such as the complexity of hierarchical decomposition, comparative judgments, priorities synthesis, and sensitivity analysis show, themselves to be utilities for the success of the technical evaluation process, going from meeting the hospital’s necessity for transparency to auditable process documentation. The hospital’s management’s expectation of separating the hospital’s medical technical evaluation process from the commercial evaluation process was achieved through the application of AHP. Despite the great number of possible variables for the ultra-sound’s technical evaluation, the decision-making team adapted itself easily and quickly to the employed method, contributing to the success of the work. The range of medical equipment installed in Brazil presents geographic concentration, with a large percentage of the equipment remaining unused due to lack of maintenance or inadequate staff to operate them, and the quantity of determined image devices per habitant above the average of other developed countries. That reality leads to the waste of resources in the health sector and adverse effects to the population’s health. This confirms the pertinence of the instrument’s application in this work, and indicates the potential increase in its utilization in the planning and control of public and private resources in the health sector.

How to Cite

Montevechi, J., Guimaraes, I. F., De Oliveira, M. L. M., & Friend, J. D. (2010). DECISION-MAKING WITH MULTIPLE CRITERIA IN THE SELECTION OF ULTRASONIC SCANNING SYSTEM IN A PRIVATE HOSPITAL IN BRAZIL. International Journal of the Analytic Hierarchy Process, 2(1).


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health technology assessment, medical equipment, AHP

Andreassi, M.G., Venneri, L. & Picano, E. (2007). Cardiac imaging: The effects of diagnostic cardiac
ultrasound. Progress in Biophysics and Molecular Biology, 93, 399 - 410.
Brandão (1999). C. R. Repensando a pesquisa participante. 8 ed. São Paulo: Editora Brasiliense.
Collins, J. (2006). Professionalism and physician interactions with industry. Journal of the American
College of Radiology, 3, (5), 325 - 332.
ECRI - Emergency Care Research Institute. (2004). Health Care product comparison system (HPCS).
Scanning systems, ultrasonic, general-purpose. PA, EUA: ECRI.
ECRI - Emergency Care Research Institute. (2005) Health Care product comparison system (HPCS).
Scanning systems, ultrasonic, general-purpose. PA, EUA: ECRI Press.
Forman, E.H. & Selly, M.A. (2001). Decision by Objectives: How to convince others that you are right.
New Jersey: World Scientific.
Forsbeg, F. (2004). Ultrasonic biomedical technology: marketing versus clinical reality. Ultrasonics, 42,
17 – 27.
Gomes, L.F.A.M., Gomes, C.F.S. & Almeida, A.T. de. (2002). Tomada de Decisão Gerencial – Enfoque
Multicritério. São Paulo: Atlas.
Halperin, E.C., Hutchinson, P. & Barrier, R.C. (2004). A population-based study of the prevalence and
influence of gifts to radiation oncologists from pharmaceutical companies and medical equipment
manufactures. International Journal of Radiation Oncology, Biology, Physics, 59, (5), 1477 – 1483.
Ho, Wi., Xu, X. & Dey, P.K. (2010). Multi-criteria decision making approaches for supplier evaluation
and selection: A literature review. European Journal of Operational Research, 202, 16–24.
Kolzer, J.F., Viegas, F., Rocco, E. de & Ojeda, R.G. (2002). Aquisição de Equipamentos de Ultrasonografia
Diagnóstica. In: Anais do XVIII Congresso Brasileiro de Engenharia Biomédica. São José dos
Campos, SP.
Lettieri, E. & Masella, C. (2009). Priority setting for technology adoption at a hospital level: Relevant
issues from the literature. Health Policy, 90, 81–88.
Liberatore, M.J. & Nydick , R.L.(2008). The analytic hierarchy process in medical and health care
decision making: A literature review. European Journal of Operational Research, 189, 194–207.
Lim, M.E., O’Reilly, D., Tarride, J., Burke, N., Ferrusi, I.L., Campbell, K. & Goeree, R. (2009). Health
Technology Assessment for Radiologists: Basic Principles and Evaluation Framework. Journal of the
American College of Radiology, 6, (5).
Mendes, E.V. (2006). Uma agenda para a saúde. 2 ed. São Paulo: Editora Hucitec.
NEPP – Núcleo de Estudos de Políticas Públicas. (2000). O Setor Saúde e o Complexo de Saúde no
Brasil. Campinas, SP: UNICAMP.
Panerai, R.B. & Mohr, J.P. (1990). Evaluation de Tecnologias en Salud. Metodologia para paises en
desarrollo. Washington: Organizacion Panamericana de la Salud.
Ramirez, E.F.F. (2005). Modelo conexionista para avaliação de propostas para aquisição de
equipamentos médico-hospitalares. Tese (Doutorado em Engenharia Elétrica) – Faculdade de Engenharia
Elétrica e de Computação da Universidade Estadual de Campinas, Campinas, SP.
Rumack, C. M., Wilson, S.R. & Charboneau, J.W. (1999). Tratado de Ultra-Sonografia Diagnóstica. 2ª
ed. Rio de Janeiro: Editora Guanabara Koogan.
Saaty, T.L. (1987). Método de Análise Hierárquica. São Paulo: McGraw-Hill.
Saaty, T.L. (1994). Highlights and critical points in the theory and application of the Analytic Hierarchy
process. European Journal of Operational Research, 74 (3), 426 - 447.
Saaty, T.L. (2004). Decision making – The Analytic Hierarchy and Network Processes (AHP/ANP).
Journal of Systems Science and Systems Engineering, 13(1), 1 - 34.
Sloane, E.B., Liberatore, M. J., Nydick, R.L., Luo, W. & Chung, Q.B. (2003). Using the analytic
hierarchy process as a clinical engineering tool to facilitate an iterative, multidisciplinary, microeconomic
health technology assessment. Computers & Operations Research, 30, 1447 – 1465.
Van der Rhee, B., Verma, R. & Plaschka, G. (2009). Understanding trade-offs in the supplier selection
process: The role of flexibility, delivery, and value-added services/support. Int. J. Production Economics,
120, 30–41.
Wu, C., Lin, C. & Chen, H. (2007). Optimal selection of location for Taiwanese hospitals to ensure a
competitive advantage by using the analytic hierarchy process and sensitivity analysis. Building and
Environment, 42, 1431–1444