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The Study On Function Deployment Assessment Model Between The Functions Of The Clinical Technical Requirements And Ventilator And Patient Physiological Monitor In Critical Care Medicine

Posted on:2011-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:L Y MiaoFull Text:PDF
GTID:2144360305958523Subject:Social Medicine and Health Management
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This study refers the standards of grade hospitals in the Minister of Health of the People's Republic of China(MOH), hospital management evaluation guide, clinical technical demands. Analyzing health technology process orientation in the field of critical care medicine(ER, ICU, CCU, OR and RR) related to the ventilator and patient physiological monitor(PPM), and investigating actual function utilized rate of the ventilator and PPM. The healthcare device technology deployment assessment model and the proposals for function deployment was developed by Delphi, combination weighting calculated and cluster analysis. It can find a new methodology for health resource allocation to improve resource allocation and process optimization, promoting standard health equipment deployment management.MethodsThe objects of this study were the five major clinical departments in fields of the critical care medicine(ER, ICU, CCU, OR and RR) and the ventilator and PPM. The datas were mainly from twice Delphi, functional technical utilization efficiency scale and annual assessment selection bulletin in MOH.The main methods for this study were Delphi and statistical methods.Delphi:This basic datas were mainly from Delphi, including health technology process orientation table for the ventilator in fields of critical care medicine, function deployment table for the ventilator and deployment assessment table for function pairs of PPM.Statistical methods:The bidirectional assessment parameter system developed by the literature review, field research and Delphi, the combination weighting for the requiring functions confirmed by Delphi and Entropy, the weighting for deploying function(pairs) calculated by correlation matrix method, which adjusted by functional technical utilization efficiency. Listed the absolute importance and rank. The proposals for function deployment performed on the cluster analysis, and healthcare device technology deployment assessment model constructed by sequential integrated methods.ResultsThe structure of the bidirectional assessment parameter system acquired according to the data mining and review, Delphi and integrated analysis. Healthcare device technology deployment assessment model and the proposals for the function deployment produced by Delphi, combination weighting method and cluster analysis. The concrete results are as follows:Assessment parameter system of healthcare device technologyTo assessment parameter system of ventilator and PPM, according to literature review, Delphi and systems analysis, shown respectively in Figure 1 and Figure 2. The basic monitoring parameter are the TV, MV, RR etc;the oscillographs are pressure time-wave, velocity time-wave, capacity time-wave etc; advanced parameters for monitoring are lung compliance, airway resistance etc; ring charts are flow volume loop and pressure volume loop etc.Fig 2, The bidirectional assessment parameter system of PPM (abbreviated)Demand functions include multi-channel ECG monitoring, multi-channel IBP monitoring, CO monitoring, cardiac arrhythmia monitoring software, temperature monitoring, ETCO2 monitoring, tcPO2/tcPCO2 monitoring, EEG monitoring, lung function monitoring, recording, networking; deployment functions include multi-channel ECG modual, multi-channel IBP modual, CO modual, cardiacarrhythmia monitoring software, temperature modual, ETCO2 modual, tcPO2/tcPCO2 modual, EEG modual, lung function modual, recorder, central monitoring station.The results of the weighting for bidirectional assessment parameter system(function pairs)The weighting for the requiring functions is transformed into the subjective weighting for deploying function, and the combination weight is obtained by the actual functional technical efficiency, see Table 1. This study determined function pairs of physiological monitor in the field of critical care medicine according to Delphi, and obtained the combination weight by the actual functional technical efficiency, see Table 2.Tab 2, Function pairs weight of PPM The proposals for the function deployment of healthcare device technologyThe proposals for the function deployment of PPM which meet different needs in fields of the critical care medicine produced by the cluster analysis, ranking absolute importance and the calibration of weighting based on the investigation for actual function utilized rate, see Table 3.Tab 3, The proposals for function deployment of the ventilator in CCMThe proposals for the function deployment of PPM which meet different needs in fields of the critical care medicine produced by the cluster analysis, ranking absolute importance and the calibration of weighting based on the investigation for actual function utilized rate, see Table 4.Tab 4, The proposals for function deployment of PPM in CCM 1. The bidirectional assessment parameter system is made up, which includes the functions of the clinical technical requirements and devices, and is different from the old ones.2. It studied healthcare device technology deployment assessment model by sequential integrated methods and set up bidirectional assessment parameter system based on clinical technical function requirement, the result is effective.3. Constructing relationship matrix between between the clinical technical requirements in the field of critical care medicine and healthcare devices. The proposals for the function deployment meet the needs of technical orientation in demand areas.4. It rationalize technology process of function deployment assessment. Taking the ventilator and PPM for example, healthcare device-technology deployment assessment model is set up by Delphi, combination weighting method and cluster analysis.
Keywords/Search Tags:Function deployment, Assessment model, Critical care medicine, Ventilator, Patient physiological monitor
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