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Radiology scheduling with consideration of patient characteristics to improve patient access to care and medical resource utilization

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Health Systems

Abstract

The objective of this paper is to redesign a scheduling scheme in a hospital radiology department that accounts for patient characteristics to improve patient access to care and utilization of medical resources. Patients’ characteristics are used to determine the length of required procedure time. The reclassification of patient groups is demonstrated using a decision tree technique and an algorithm based on the least weighted average coefficient of variation. The results indicate that the proposed scheduling scheme reduces patient wait time as much as 71%, increases the radiographer utilization by at most 83%, reduces overall cost by as far as 54%, and improves patient access by 1.25 times than current schedule capability. The proposed approach provides relatively implementable details and a minimal system accommodation, especially for the participated radiology department. The success of the implementation will bring better service for patients and the use of medical resources more efficiently.

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References

  • Arlandis-Guzman S, Errando-Smet C, Trocio J, Arumi D and Rejas J (2011) Cost-effectiveness analysis of antimuscarinics in the treatment of patients with overactive bladder in Spain: a decision-tree model. BMC Urology 11 (9), 1–11.

    Google Scholar 

  • Barrientos F and Sainz G (2012) Interpretable knowledge extraction from emergency call data based on fuzzy unsupervised decision tree. Knowledge-based Systems 25 (1), 77–87.

    Article  Google Scholar 

  • Borisova LV (2011) Health care systems as determinants of health outcomes in transition countries: developing classification. Social Theory & Health 9 (4), 326–354.

    Article  Google Scholar 

  • Cayirli T and Veral E (2003) Outpatient scheduling in health care: a review of literature. Production and Operations Management 12 (4), 519–549.

    Article  Google Scholar 

  • Cayirli T, Veral E and Rosen H (2008) Assessment of patient classification in appointment system design. Production and Operations Management 17 (3), 338–353.

    Article  Google Scholar 

  • Centeno MA, Albacete C, Terzano DO, Carrillo M and Ogazon T (2000) A simulation study of the radiology department at JMH. In Proceedings of the 2000 Winter Simulation Conference, 1978–1984 (JOINES JA, VArton RR, KANG K and GISHWICK PA, Eds). Orlando, FL, 10–13 December.

  • Chabot G, Fox M and Rieger RT (2005) The creation of a patient-classification system in an outpatient infusion center setting. Oncology Nursing Forum 32 (3), 535–538.

    Article  Google Scholar 

  • Chen H, Yun DY, Ge Y and Khan J (1996) Computer-aided resource planning and scheduling for radiological services. Proceedings of SPIE Vol. 2711, pp. 156–166, Newport Beach, CA, 10 February.

    Article  Google Scholar 

  • Cherry J and Seshadri S (2000) Six sigma: using statistics to reduce process variability and costs in radiology. Radiology Management 6 (4), 42–45.

    Google Scholar 

  • Clapham ME and Payne JL (2011) Acidification, anoxia, and extinction: a multiple logistic regression analysis of extinction selectivity during the Middle and Late Permian. Geology 39 (11), 1059–1062.

    Article  Google Scholar 

  • Daggy J, et al (2010) Using no-show modeling to improve clinic performance. Health Informatics Journal 16 (4), 246–259.

    Article  Google Scholar 

  • Deng C, et al (2011) Establishing a serologic decision tree model of extrapulmonary tuberculosis by MALDI-TOF MS analysis. Diagnostic Microbiology and Infectious Disease 71 (2), 144–150.

    Article  Google Scholar 

  • Dini AP, Fugulin FM, Veríssimo MR and Guirardello EB (2011) Pediatric patient classification system: construction and validation of care categories. Revista da Escola de Enfermagem da USP 45 (3), 574–579.

    Article  Google Scholar 

  • Emanuela A (2011) Analysis of allocation of financial resources management within health systems using the ACP analysis. Metalurgia International 16 (12), 91–95.

    Google Scholar 

  • Fasoli DR and Haddock KS (2010) Results of an integrative review of patient classification systems. Annual Review of Nursing Research 28 (11), 295–316.

    Article  Google Scholar 

  • Glowacka KJ, Henry RM and May JH (2009) A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling. Journal of the Operational Research Society 60 (8), 1056–1068.

    Article  Google Scholar 

  • Gopakumar B, Wang S, Khasawneh MT, Srihari K, Hensberry K and Cummings D (2008) Enhancing the scheduling of interventional radiology department using data analysis and modeling and simulation. Proceedings of IEEE, pp. 1428–1432, Singapore, December 8–11.

  • Guglielmino MG, Celano G, Costa A and Fichera S (2009) Modelling a radiology department service using a VDL integrated approach. Journal of Health, Organization and Management 23 (4), 376–395.

    Article  Google Scholar 

  • Ho C and Lau H (1992) Minimizing total cost in scheduling outpatient appointments. Management Science 38 (12), 1750–1763.

    Article  Google Scholar 

  • Hu R (2011) Medical data mining based on decision tree algorithm. Computer and Information Science 4 (5), 14–19.

    Google Scholar 

  • Huang Y, Hancock WM and Herrin GD (2012) An alternative outpatient scheduling system: improving the outpatient experience. IIE Transactions on Healthcare Systems Engineering 2 (2), 97–111.

    Article  Google Scholar 

  • Huang Y and Zuniga P (2012) Dynamic overbooking scheduling system to improve patient access. Journal of the Operational Research Society 63 (6), 810–820.

    Article  Google Scholar 

  • Kaandorp G and Koole G (2007) Optimal outpatient appointment scheduling. Health Care Management Science 10 (3), 217–229.

    Article  Google Scholar 

  • Klassen KJ and Rohleder TR (1996) Scheduling outpatient appointments in a dynamic environment. Journal of Operations Management 14 (2), 83–101.

    Article  Google Scholar 

  • Levine BA, Norton GS and Mun SK (1996) Information systems and integration. Proceedings of IMAC, pp. 9–13, Oahu Island, HI, 20–24 August.

  • Li L and Zhang X (2010) Study of data mining algorithm based on decision tree. Proceedings of Computer Design and Applications, Vol. 1, pp. 155–158, Qinhuangdao, China, 25–27 June .

    Google Scholar 

  • Lu L, Li J and Gisler P (2011) Improving financial performance by modeling and analysis of radiology procedure scheduling at a large community hospital. Journal of Medical Systems 35 (3), 299–307.

    Article  Google Scholar 

  • Maddala T (1996) Acuity scheduling systems: a case study in radiology. Radiologic Technology 67 (5), 415–420.

    Google Scholar 

  • Moon SS, Kang S, Jitpitaklert W and Kim S B (2012) Decision tree models for characterizing smoking patterns of older adults. Expert Systems with Applications 39 (1), 445–451.

    Article  Google Scholar 

  • Perroca MG and Ek AC (2007) Utilization of patient classification systems in Swedish hospitals and the degree of satisfaction among nursing staff. Journal of Nursing Management 15 (5), 472–480.

    Article  Google Scholar 

  • Piroth L, et al (2011) A decision tree to help determine the best timing and antiretroviral strategy in HIV-infected patients. Epidemiology & Infection 139 (12), 1835–1844.

    Article  Google Scholar 

  • Radu CP, Chiriac DN and Vladescu C (2010a) Changing patient classification system for hospital reimbursement in Romania. Croatian Medical Journal 51 (3), 250–258.

    Article  Google Scholar 

  • Radu CP, Chiriac DN, Vladescu C and Shah J (2010b) Romania and the international patient classification system context. Management in Health 14 (1), 14–16.

    Article  Google Scholar 

  • Redfern R, Langlotz CP, Lowe RA, Horii SC, Abbuhl SB and Kundel HL (1998) Assessing the impact of a radiology information management system in the emergency department. Proceedings of SPIE. Vol. 3339, pp. 414–420, San Diego, CA, 21 February.

    Article  Google Scholar 

  • Reynolds J, Zeng Z, Li J and Chiang S (2010) Design and analysis of a health care clinic for homeless people using simulations. International Journal of Health Care Quality Assurance 23 (6), 607–620.

    Article  Google Scholar 

  • Rosenthal DI, et al (2006) Radiology order entry with decision support: initial clinical experience. Journal of the American College of Radiology 3 (10), 799–806.

    Article  Google Scholar 

  • Schwarzer G, Nagata T, Mattern D, Schmelzeisen R and Schumacher M (2003) Comparison of fuzzy inference, logistic regression, and classification trees (CART). Prediction of cervical lymph node metastasis in carcinoma of the tongue. Methods of Information in Medicine 42 (5), 572–577.

    Google Scholar 

  • Sechiner SU and Onay MB (2008) Radiology staff scheduling under the compressed workweeks. Proceedings of IEEE, pp. 1285–1289, Singapore, 8–11 December.

  • Souza LB (2009) Trends and approaches in lean healthcare. Leadership in Health Services 22 (2), 121–139.

    Article  Google Scholar 

  • Taner MT and Sezen B (2009) An assessment of diagnostic efficiency by Taguchi/DEA methods. International Journal of Health Care Quality Assurance 22 (1), 93–98.

    Article  Google Scholar 

  • Water SD (1973) A comparison of appointment schedules in a hospital radiology department. British Journal of Preventive and Social Medicine 27 (3), 160–167.

    Google Scholar 

  • Yang KK, Lau ML and Quek SA (1998) A new appointment rule for a single-server, multiple-customer service system. Naval Research Logistics 45 (3), 313–326.

    Article  Google Scholar 

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Correspondence to Yu-Li Huang.

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Huang, YL., Marcak, J. Radiology scheduling with consideration of patient characteristics to improve patient access to care and medical resource utilization. Health Syst 2, 93–102 (2013). https://doi.org/10.1057/hs.2013.1

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