Development of model for outpatient service department for Smart Hospital in Somdet Hospital Kalasin Province

Abstract

     This study is action research aim to development for patient service model to Smart Hospital for Somdej Hospital. Kalasin Province The sample groups were: 1) people who received services at the outpatient department before and after the development Calculated from the proportion estimation formula, there were 367 equal people. 2) 24 staff at outpatients and related agencies. Quantitative data were analyzed using descriptive statistics, including frequency, percentage, mean, standard deviation. Compare differences in average scores for waiting time, crowding, and satisfaction with t-test statistics. Qualitative data were analyzed using content analysis.
     Results of study found that majority of the sample were female, 62.13 percent. Most were in the age range of 31-44 years, 10.35 percent. Most of the education was high school education, 27.25 percent. UC card care service were 73.57 percent. The most illnesses ware chronic kidney disease was 10.35 percent. Sample group of officials was 24 people, most of whom were female, 79.17 percent. Most were in the age range of 31-44 years, 41.67 percent. Education level: Most had a bachelor's degree, 66.67 percent. Most occupations were professional nurses. 45.83 percent. The development process includes 6 measures, with adjusted formats and activities. and reviewing issues to improve the service system To respond to the policy of reducing waiting times 1) meeting to analyze the situation 2) creating a project plan to integrate budgets together in hospitals 3) creating measures to reduce waiting times 4) using innovative technology 5) giving Knowledge and attitude 6) Evaluation and lessons learned together After the development, it was found that qualitatively, it was found that electronic medicine, paperless prescriptions, made the system more flexible. Clear departmental queues combined with the Hos The service system using One Vital Sign connect to HIS can automatically send measured vital sign data into Program Hos XP system, making the data accurate and fast, reducing the time to enter data. The original 11 waiting steps were reduced to only 7 steps. The average time at each point was 11.52 minutes, ranging from 78-116 minutes. Total time after development was 115.24 minutes from the waiting time test. Congestion at each point and improved satisfaction Statistically significant (p<0.05).