확산 모형에 의한 첨단 영상진단 의료기기 수요확산의 특성 분석 및 수요예측에 관한 연구
A Study on A Demand Forecasting and Characterization of Diffusion Process for Advanced Diagnostic Imaging Equipment
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Objectives: In this study, we explore the demand forecasting of Advanced Diagnostic imaging Equipment. Methods: The analysis was based on logistic diffusion model. We analyze the specific pattern of each equipment’s diffusion curve by interpreting the parameter estimates of logistic diffusion model. Results: Our findings are follows. First, Computed tomography is in the stage of saturation and so, the future demands of that is not too large. Second, Magnetic resonance imaging (MRI) is expected that it will take about 5 years to reach saturation, and further growth is expected to continue. Third, Positron emission tomography (PET) has been shown to be saturated, and therefore, it is not expected that there will be a rapid increase in demand in the future. However, since demand data has been declining since 2000, it is said that additional data collection is required to reliably predict future demand. Conclusions: As a result of analyzing the demand for three major advanced diagnostic imaging equipment, it was found that the domestic market is generally in saturation. Therefore, a future research task will be to predict and analyze the demand for advanced diagnostic imaging equipment in consideration of the government’s policy changes.
Abstract
Objectives: In this study, we explore the demand forecasting of Advanced Diagnostic imaging Equipment. Methods: The analysis was based on logistic diffusion model. We analyze the specific pattern of each equipment’s diffusion curve by interpreting the parameter estimates of logistic diffusion model. Results: Our findings are follows. First, Computed tomography is in the stage of saturation and so, the future demands of that is not too large. Second, Magnetic resonance imaging (MRI) is expected that it will take about 5 years to reach saturation, and further growth is expected to continue. Third, Positron emission tomography (PET) has been shown to be saturated, and therefore, it is not expected that there will be a rapid increase in demand in the future. However, since demand data has been declining since 2000, it is said that additional data collection is required to reliably predict future demand. Conclusions: As a result of analyzing the demand for three major advanced diagnostic imaging equipment, it was found that the domestic market is generally in saturation. Therefore, a future research task will be to predict and analyze the demand for advanced diagnostic imaging equipment in consideration of the government’s policy changes.
참고문헌 (27)
- "OECD Health Statistics 2021"[URL]
- Improvement of the national health insurance coverage through efficient medical expenditure, "Korea Insurance Research Institute", Korea Insurance Research Institute, ~ (2017)
- Analysis of the status of second-hand imported expensive medical devices and research on management methods, "Kim SJ", Korea Health Industry Development Institution, 154~177 (2004)
- Ministry of Health and Welfare, "Rules and guidelines for installation and operation of special medical equipment", Ministry of Health and Welfare, ~ (2003)
- Song GY, "Development of standard work for each type of medical institution", Ministry of Health and Welfare, ~ (2001)
- Health and medical resource supply and demand status and management policy improvement direction, "Lee SY", Korea Institute for Health and Social Affairs, ~ (2003)
- Analysis and study of the status of use of expensive medical equipment, "Jung WJ", Korea Institute for Health and Social Affairs, ~ (2000)
- Bass FM, "A new product growth model for consumer durables", Manag Sci, 15(5), pp.215~227 (1969)
- Mahajan V, "New product diffusion models in marketing : a review and directions for research", J Mark, 54(1), pp.1~26 (1990)
- 이군희, "확산모형을 이용한 수요예측에 대한 연구", 한국생산관리학회지, 17(2), pp.3~25 (2006), 한국생산관리학회
- Sillup GP, "Forecasting the adoption of new medical technology using the Bass model", J Health Care Mark, 12(4), pp.42~51 (1992)
- Bernhardt I, "Some problems in using diffusion models for new products", Manag Sci, 19(2), pp.187~200 (1972)
- Heeler RM, "Problems in predicting new product growth for consumer durables", Manag Sci, 26(10), pp.1007~1020 (1980)
- Van den Bulte C, "Bias and systematic change in the parameter estimates of marco-level diffusion models", Mark Sci, 16(4), pp.338~353 (1997)
- Kang HC, "A study on mid-to long-term demand forecasting using diffusion model and growth curve model", Korean J Appl Stat, 14(2), pp.233~243 (2001)
- Oliver RM, "A Bayesian model to predict saturation & logistic growth", J Oper Res Soc, 38(1), pp.49~56 (1987)[DOI]
- Ford EW, "Predicting the adoption of electronic healtg records by physicians : When will health care be paperless?", J Am Med Inform Assoc, 13(1), pp.106~112 (2006)[DOI]
- 홍정식, "확산 모형에 의한 고가 의료기기의 수요 확산의 특성분석 및 중장기 수요예측에 관한 연구", 보건행정학회지, 18(4), pp.85~110 (2008), 한국보건행정학회
- Communication service demand forecasting methodology, "Kim YG", Korea Information Strategy Development Institute, ~ (2000)
- "HIRA Healthcare Bigdata Hub"[URL]
- "KFDA Medical Device DataBase Searching System"[URL]
- The long-term demand forecasting of expensive and special medical equipment by logistic model, "Lim DH", Korea Health Industry Development Institution, 1~8 (2013)
- 조영권, "한국의 MRI 건강보험 급여기준 및 진료이용에 관한 연구", 한국방사선학회논문지, 12(7), pp.869~877 (2018), 한국방사선학회[DOI]
- Kim IS, "Changes in medical utilization pattern before and after medical insurance program", Korean Public Health Res, 6(1), pp.31~38 (1980)
- Andersen R, "Access to medical care in the U.S.: realized and potential", Med Care, 16(7), pp.533~546 (1987)[DOI]
- Lee JS, "Competitiveness and future prospects of the diagnostic medical device industry", KHIDI Magazine, 1(1), pp.8~33 (2021)
- 박수경, "우리나라 고가의료장비 공급현황과 미국 수요증명제도의 시사점", 보건경제와 정책연구, 22(2), pp.79~97 (2016), 한국보건경제정책학회