Abstract

For Southeast Asia’s largest population, the prevalence of the emotional disorder has increased from 6% in 2013 up to 9.8% in 2018. Aligned with the e-government program, Knowledge Management (KM) offers an easier, faster, and transparent mental health services. However, the implementation relies on various factors. We conducted a workshop at 7 (seven) mental hospitals. The questionnaires were used to identify the factors that consist of awareness & commitment, strategy, culture, structure, people, and information technology (IT). We examine the hypothesis factors of the relationship by employing the statistical analyses of correlation. This study provides at testing the relationship between factors of people, process, and technology, for KM implementation in Indonesian mental hospitals. The results of the study confirm that the relationship between Process to Technology and People has a positive effect on significance. Meanwhile, the adop-tion of the existing technical facilities have not significant support for the needs of the KM. To sum up, the study suggests further improve-ment of leadership and systems in order to serve the best of mental healthcare.

Highlights

  • The life expectancy in Indonesia has improved from 63 years old in 1990 to around 70 in 2012

  • This achievement is probably relating to other improvements in cases such as infant mortality rate and under-five mortality rates which are perhaps due to the economic growth that enables Indonesia to move the ladder into a middle-income country

  • We believe that mental health hospitals in Indonesian need to adopt Knowledge Management (KM) to improve their ability to serve and mitigate mental health-related problems that are increasing in recent years and may take a toll in the future

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Summary

Introduction

The life expectancy in Indonesia has improved from 63 years old in 1990 to around 70 in 2012 (until recently). Let alone the job issue, the healthcare industry will be disrupted as many startups as well as private and government generate Big Data that contains a huge amount of information for doctors, medical workers, and researchers in the health sector They need to learn about people's behavior related to their mental status, new diseases, treatments, and the most effective and efficient healthcare business process. To cope with this picture, KM offers an overarching strategy to transform the traditional fragmented, inefficient healthcare system and service into more integrated and efficient that is expected to improve the quality of patient’s healthcare experience. The study aims to find out the factors that has significant relationships to consider as a priority element for KM implementation

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