Medical equipment cost-benefit wireless monitoring analysis system and medical equipment cost-benefit wireless monitoring analysis method

Abstract

The invention discloses a medical equipment cost-benefit wireless monitoring analysis system and a medical equipment cost-benefit wireless monitoring analysis method. The medical equipment cost-benefit wireless monitoring analysis method comprises the steps of establishing a regression equation of Y=C+alpha*T between the service time and the income in different operating modes for monitored medical equipment; determining the regression coefficient alpha and the intercept constant C by adopting a self-matching technology; accumulating the service time T of the various operating modes of the monitored medical equipment by using a method of continuously acquiring service conditions of the monitored medical equipment; substituting the service time T into the regression equation of Y=C+alpha*T so as to calculate the income, and substituting the service time T into a formula of Ps=T / Ts*100% so as to calculate the utilization rate of the monitored equipment. According to the invention, the service time and the utilization rate of the equipment can be calculated authentically and accurately through continuously monitoring the service conditions of the medical equipment in real time, thereby providing a scientific decision making basis for purchase, introduction, management and evaluation for the medical equipment.

Description

technical field [0001] The invention belongs to monitoring technology, and in particular relates to a cost-effective wireless monitoring and analysis system and method for medical equipment. Background technique [0002] With the rapid development of medical diagnosis and treatment technology, the equipment level of modern medical equipment has become an important indicator to measure the comprehensive strength of a hospital. The annual growth rate of the introduction of medical equipment by medical institutions at all levels has reached 10% to 20%, and the proportion of in-hospital medical equipment in the hospital's fixed assets has risen from 20% to 30% to 50% to 70%. However, the increase in the number of medical equipment not only improves the quality and efficiency of medical services, but also increases the cost of hospital operations and the difficulty of medical equipment supervision. According to literature reports, the current idle medical equipment in domestic h...

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Problems solved by technology

However, the increase in the number of medical equipment not only improves the quality and efficiency of medical services, but also increases the cost of hospital operations and the difficulty of medical equipment supervision

According to literature reports, the current idle medical equipment in domestic hospitals accounts for about 3-5% of the total medical equipment, and the utilization rate is only 75-80%. The utilization rate of experimental instruments used for scientific research and teaching is even less than 40%.

[0004] In recent years, there are mainly four statistical methods for the use status and utilization rate of medical equipment commonly used at home and abroad. The first is the manual statistical method: the statistics are collected by checking manual records and reports. The workload is relatively large, and the statistical information is imperfect and inaccurate. The second is the survey and statistics method: on-site investigation and questionnaire survey are used for statistics, which is difficult to count and the subjective consciousness is strong, and the authenticity cannot be guaranteed; , which cannot ensure the authenticity and accuracy; the fourth is the software statistical method: the real-time collection and automatic analysis of medical equipment usage status data can be realized by mounting the HIS system, which saves a lot of costs, and the data source is true and reliable, but it is only applicable to Large medical equipment and some charging equipment connected to HIS system

Although the above four methods have partially or roughly realized the statistics of usage status and usage rate, they all have certain limitations

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