Practice and Exploration of Economic Benefit Evaluation of Medical Equipment in Our Hospital

Wei-wei Shi

Department of Biomedical Engineering, Northern Jiangsu People’s Hospital, Yangzhou Jiangsu, 225000, China

Practice and Exploration of Economic Benefit Evaluation of Medical Equipment in Our Hospital

Wei-wei Shi

Department of Biomedical Engineering, Northern Jiangsu People’s Hospital, Yangzhou Jiangsu, 225000, China

ObjectiveThe evaluation index of medical equipment’s economic benefit is based on the usage of medical equipment, the traditional data collection method is time-consuming, laborious and not entirely accurate. The usage of medical equipment is obtained by designing data query statements from the HIS system.MethodsFirst the charging items are in correspondence with the device’s name included, second fees and other relevant data are extracted from charging module in HIS. Through a rough estimate of the recovery period and an increase or decrease ratio, the economic benefit of the medical equipment can be analyzed.ResultsThrough the method of the benefit analysis of the medical equipment, we can clearly f nd out the different economic benefit of the equipment, and f nally analyze the reasons.ConclusionPractice has proved that, this methad, it can greatly reduce human, material resources required in data collection and improve the accuracy of the data. It can help hospital managers timely to grasp the operating costs of medical equipment and other information, and also provide scientif c data for hospital managers when they purchase reasonable medical equipment.

economic benefit analysis of medical equipment; hospital information system; data query; charging items; program design

1 INTRODUCTION

With the rapid development of medical science and technology, the extensive use of advanced medical equipment has become a signif cant symbol of modern hospitals. The functional integrity and reliability of medical equipment directly related to the quality of medical work, and the hospital medical equipment continues to increase, making the purchase and use of medical equipment become an important part of the management of equipment[1]. In order to improve the management level of hospital medical equipment, make full use of the efficiency of medical equipment, improve the use rate of equipment, reduce or eliminate man-made damage, ensure medical equipment is in the best condition, how to establish effective medical equipment evaluation system is the key problem to be solved.

The new version of “three level general hospital’s assessment rules” in 2011 has the clear requirements: analysis and evaluation of large medical equipment in the way of use, functional development, cost-effectiveness; regular supervision of the issue to check whether it has been improved, analysis and evaluation report is provided to the equipment committee and feedback to therelevant departments; the results of analysis and evaluation report are used to adjust the relevant equipment procurement reference[2].

Our hospital set up a scientif c evaluation system for the use of medical equipment, the evaluation indicators include: evaluation of medical equipment economic benefits, social benefits evaluation of medical equipment, scientific research performance evaluation. Among them, the economic benefit evaluation index of medical equipment, which means the usage of equipment, income and other data are obtained by detailed records in charging module of HIS. On the basis of HIS database, the design of an object-oriented procedure can help extract using data of medical equipment easily. And we can quickly grasp the usage of medical equipment.

2 DATA SOURCES AND RESEARCH METHODS

2.1 Data sources

Our hospital in the past five years has been exploring the method of economic benefit evaluation, in 2012, through practical exploration, we develop online reporting plat for MOF the economic benefits of valuable equipment, and make online reporting work into a routine. According to the requirements and f xed time, the annual usage of equipment is reported. At the end of 2014, the charging items are in correspondence with the device’s name included, fees and other relevant data are extracted from charging module in HIS. Through roughly estimated recovery period and increase or decrease ratio, the economic benefits of medical equipment can be analyzed. By this way of extracting the data, the error of data reported manually is greatly reduced, the accuracy of the data is improved.

The number of the devices included is 74. With joint investigation of Price Department and Information Department in our hospital, we match the charging items with medical equipment names. Through checking hospital information system’s database Oracle 10 g, we extract total amount, unit price, charge and other related data monthly in 2014.Related statements are as follows:

2.2 Research method

Through querying hospital information system’s database Oracle 10 g, we obtained total amount, unit price, charging items and other related data monthly in 2014. Calculation ofthe recovery period (years): equipment value/(monthly income - monthly expense)/12 (human costs, equipment depreciation, water and electricity consumption and so on are not calculated).

Table 1 benefit analysis of expensive medical equipment (in part)

3 RESULTS AND ANALYSIS

3.1 Results

The unit price of all medical equipment included is over 100000 ￥. Among them, the unit price over 500000 ￥ is 54, accounting for 73%. Medical equipment included is related to 62 charging projects, involving 40 clinical medical departments. Roughly estimated recovery period and increase or decrease ratio of medical equipment’s usage included are seen on Table 1.

3.2 Analysis

Table 2 can be seen, the number of medical equipment, whose recovery period is less than 5 years, is only 38 units, accounting for 51.3%; whose recovery period is over 10 years, is 30 units, accounting for 40.5%; whose recovery period is over 50 years is 8 units, accounting for 10.8%. Table 3 can be seen, increase or decrease ratio of medical equipment’s usage compared to 2013: the number of medical equipment whose increase ratio in use is over 100% (substantial growth) is 15 units, accounting for 20%; whose increase ratio in use is over 50% (significantly improved) is 8 units, accounting for 11%; whose decrease ratio in use is over 20% (signif cantly decreased) is 13 units, accounting for 17.5%.

Table 2 Analysis of medical equipment’s recovery period estimated roughly (yr)

Table 3 Increase or decrease percentage compared with 2013

And some medical equipment whose recovery period is over 10 years and usage is declining compared to the same period in 2013, for example: body composition analyzer (Department of Clinical Nutrition), automatic platelet aggregation analyzer (Hematology Laboratory), three-dimensional electrophysiological mapping (Cardiology), medical infrared thermal imaging instrument (Department of Pain Medicine), ultrasonic and pneumatic lithotripsy machine (Urology), RF cold plasma surgery system (Orthopedics), corneal topography (Ophthalmology), BIS monitor (ICU)etc.These devices have been low eff ciency for a long time, even the idle status.

In view of the low economic efficiency of the equipment, the investigation is found that some devices are not fully demonstrated before the purchase, such as: economic benefits, technical feasibility, supporting conditions, technology advance and other aspects, which lead to blind introduction, repeat purchase, excessive pursuit of high, f ne, sharp equipment and other issues in the process of purchasing, totally ignoring the effectiveness of the devices. There are some other devices[3]. Although the low economic efficiency, they play a great role in making a lot of achievements in scientific research in the development of new technology and new projects, and in social benefits. According to equipment evaluation indicators, these devices play a great role.

4 CONCLUSION

Based on HIS charge system, through the correspondence between charging items and medical equipment, the basic data query is achieved. Number, cost, total income and other data do not need to be manually filled, greatly reduce the human and material resources required for usage statistics of medical equipment, to ensure the accuracy of statistical data.

The correspondence between medical equipment and charging items makes the analysis of economic benefit of medical equipment more simple, quick and accurate. Hospital managers can timely grasp increase or decrease ratio of medical equipment’s usage, compared to the same period in different years, and then to provide scientific data for the purchase of equipment. Especially to provide accurate basis for similar types of equipment, which eliminates the blindness and randomness in the purchase of equipment. And we need to learn the actual needs of the hospital and similar types of equipment’s usage before purchasing. With the aid of medical equipment information management tool, we can not only improve the management level of medical equipment analysis and evaluation, but the huge role of medical engineering department will continue to show in the hospital’s management as well[4].

[REFERENCES]

[1]Ling J,Ye XF,Li SQ.Benefit analysis of large medical equipment introduced in the past 3 years in a hospital[J].Yiliao Zhuangbei, 2011,32(10):103-104.

[2]Shi WW,Zhong H,Xie FM.Analysis of the monitoring method of equipment usage[J].Yiliao Zhuangbei,2013,34(12):108-109.

[3]Zheng XX,Li YY.Status and countermeasures of medical equipment purchase and equipment management in hospital[J].Yiliao Zhuangbei,2008,29(1):67-68.

[4]Shi WW.Practice and exploration of medical equipment information management[J].Yiliao Zhuangbei,2010,31(12):250-254.

專欄——腦網絡分析與類腦計算

編者按：腦網絡分析是大腦與復雜網絡理論相結合的產物，腦網絡由腦區節點和節點間的連接邊兩個基本要素構成。基于圖論的方法，研究者們可以從微觀尺度（神經元）、中間尺度（神經集群）和大尺度（腦區）等多個不同尺度上對大腦網絡進行分析。近十年，世界各國都紛紛發展以腦網絡研究為主題的大型科學計劃，如人腦連接組計劃（Human Connectome Project，HCP）等。類腦計算是指借鑒神經元間的互相合作的工作機制，模仿人腦功能進行計算，以類腦的方式形成大規模并行處理的網絡。通過對大腦網絡運行機制的了解，可以促進類腦技術的創新。同時，類腦計算也為腦科學數據處理提供了新的方法。本專欄主要圍繞腦網絡分析和類腦計算，這兩個可以相互借鑒、相互融合的前沿領域而展開論述，主要介紹了深度學習算法在腦科學領域中的前沿應用，基于網絡分析的人腦認知儲備的定量預測，以及小鼠大腦個體結構網絡的構建。

欄目主編：林嵐

林嵐 ，北京工業大學生物醫學工程系副教授。從事運用神經影像學方法，研究與年齡相關的大腦認知退化方面的研究工作。2006年于美國亞利桑那州立大學獲得生物工程博士學位。2006～2011年在美國亞利桑那州立大學和亞利桑那大學從事神經影像學方面的研究工作。運用現代神經圖像處理與分析方法對健康人大腦的認知儲備及阿茲海默癥的發生、發展過程進行研究。2012年加入北京工業大學生物醫學工程系。共發表科技論文70余篇，其中16篇文章被SCI/EI檢索收錄。現系【美】神經科學學會會員、【美】Mcknight大腦研究學會會員。多年來還作為課題負責人和主要參與者完成了一項北京市自然科學基金，兩項亞利桑那州基金,多項NIA(美國國家老年研究院基金)項目和NIH(美國國家衛生研究院基金)項目。

R318 [Document code]A

10.3969/j.issn.1674-1633.2016.12.001

1674-1633(2016)12-0001-03

Wei-wei Shi, Department of Biomedical Engineering, Northern Jiangsu People’s Hospital, 98 Nantong West Road, Yangzhou 225000, Jiangsu Province, China. 71227482@qq.com