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Study On The Difference Of Patient Visit Time Before And After The Smart Clinic Construction In General Hospital And Its Improvement Strategy

Posted on:2024-07-19Degree:MasterType:Thesis
Country:ChinaCandidate:Z W LiuFull Text:PDF
GTID:2544306923456294Subject:Public administration
Abstract/Summary:PDF Full Text Request
Since the 21st century,the new generation of information technology is gradually changing people’s way of production and life.Public hospitals are the most important subjects in China’s medical service system,and their information construction also determines the future development of hospitals to a certain extent.With the continuous improvement of people’s living standards,the demand for medical treatment is no longer limited to the relief of pain,and the demand for medical treatment experience is growing.The problems of "three long and one short" and "difficult to see a doctor" are more reflected in the long waiting time and the complicated and repetitive medical treatment process,which can shorten the waiting time of patients.It is urgent to improve the level of medical service and the efficiency of patient treatment to improve the treatment process.This study takes the construction of smart outpatient service in a third-class first-class hospital as the research object.The hospital mainly carries out construction and design from four aspects:outpatient self-service all-in-one machine,wechat public account,appointment platform,automatic queue and call system of outpatient pharmacy,and function construction of electronic application order.This study mainly uses the process reengineering theory in public management as the theoretical basis,takes the outpatient visit process as the research entry point,extracts the relevant data before and after the construction of the hospital smart outpatient service(outpatient flow in each period,patient visit route,waiting time of each link),and uses the queuing theory model to analyze and compare the data indicators and evaluate the implementation effect.The queuing theory model is used in the process of effect evaluation,which can evaluate the effect of queuing time before and after the transformation more intuitively and effectively.This study uses the management method of business process reengineering to study the construction of the intelligent outpatient service process in the hospital.By using the queuing theory model,the waiting time of patients before and after the transformation is compared and analyzed.Based on the survey results of outpatient patients and medical staff related to the outpatient process,the overall construction effect is evaluated,problems are identified and suggestions are put forward for continuous improvement.In the process of analyzing the problems that still exist after the construction of the smart clinic,the stakeholder model is introduced to identify the main characteristics and demands of each stakeholder.Under the guidance of the theory,combined with the quantitative and qualitative analysis results,the reasons are further analyzed,and the continuous improvement countermeasures are proposed.It aims to effectively improve patients’ medical experience and willingness to seek medical treatment.At the same time,the problems still existing in the outpatient service of the hospital after the construction of the smart outpatient service are analyzed,the continuous improvement measures for the construction of the smart outpatient service are put forward,and the countermeasures and suggestions are put forward to provide guarantee for the construction of the smart outpatient service in public hospitals.The situation of different hospitals is different,and there is no universally applicable stable indicator environment.However,this study is based on the comparative analysis of a large number of actual patient visits in public third-class hospitals,and takes into account a variety of special influencing factors,which has certain universal practical significance for hospitals of the same type.
Keywords/Search Tags:intelligent clinic, process optimization, waiting time, difference
PDF Full Text Request
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