The reminding mechanism with Bayesian theory for the emergency revisit with in 72 hours
| Autor: | DA-WEI GUO, 郭大威 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 Through medical diagnosis assistance mechanism, it is possible to remind the medical personnel while in determining one reference data for symptoms and the causes of the diseases. And it can facilitate raising the level of medical quality and lowering the reoccurrence of chances that patients return for treatment. In modern society, amid the complex traffic patterns with frequent reported accidents in addition to increases in chronic diseases as well as mental patients, therefore all emergency clinics for regional hospitals have become the busiest unit within medical system. Hence how to effectively raise the level of medical quality as well as lower the occurrence of patient revisit, decrease repeated revisits and the number of revisit to hospital within 72 hours timeframe have become one of the pressing and indispensible indicators. During recent years it has been witnessed that there is a trend indicating the increase of patient going to the hospital. Moreover the number of emergency clinic visit for all hospitals and clinics has also risen on annual basis prompting the emergency clinic nonstop running 24x7 to become the busiest unit among all hospitals and clinics. Thus its service content as well as medical quality has undergone constant onslaught. In order to effectively ensure emergency medical quality and provide comprehensive medical care for every patient arrived for medical assistance, and how to establish and adopt medical assistance indicator system so as to surveillance and enhance medical operation have become the top priority for all hospital and clinics as result. This study placed the efforts at compiling data for the probable and possible patient revisits and applied the reverse derivation from Bayes’ theorem to deduce the antecedents then proceeded to compare against original data so as to analyze and revise. Then it was followed with applying system architecture to deduce the patient factors leading up to probabilities for occurrence of repeated clinic revisit. After applied clinic revisit reminder system for derivation which targeted to all patients came to the clinics, we calculated the probability for clinic revisit in addition to timely remind medical personnel for determining whether further inspection and examination for this patient or strengthening nursing guidance as well as health care leaflets promotion is necessary. In addition the repetition of this kind of approach was observed that it could lower the probability of clinic revisit. The main objective rests at the establishment for disease factor knowledge database for 72-hour clinic revisit by emergency clinic patients. Alternatively this thesis applied Bayes’ theorem to set up clinic revisit reminder mechanism system so as to lower the possibility for occurrence of clinic revisit by the patient who had already received medical care. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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