Background : the patient referral system is felt to be ineffective and inefficient, there are still many people who have not been able to effectively reach health services that occur in patients in several large hospitals. DaSK is a portal that can be used as a reference for mapping data on human resources, health service facilities, facilities and infrastructure, utilization, and referrals flow. Methods : This is action research with a quantitative approach. The Health System Dashboard (DaSK) as a referral portal for data related to the health system in strengthening Regional Hospital referrals was developed by the Center for Health Policy and Management (PKMK) Faculty of Medicine, Public Health and Nursing (FK-KMK) UGM working with the Directorate of Referral Services Indonesian Ministry of Health. Result : The source of the DaSK data taken from the RS Online, ASPAK and SI-SDMK application databases belonging to the Indonesian Ministry of Health which is integrated into the Referral System DaSK database through the Application Programming Interface (API). Some features such as Facilities, Utilization, Referral and Analysis are in the process of data integration, so that the results of the visualization and analysis cannot be displayed for these features. Conclusion : The DaSK can be a reference for equitable distribution of health services in Indonesia and improve the accessibility of reference service information for the wider community.
{"title":"Integrasi Data Pada Dashboard Sistem Kesehatan (DaSK) untuk Mendukung Analisa & Visualisasi Sistem Rujukan","authors":"Andra Dwitama Hidayat","doi":"10.22146/jisph.71333","DOIUrl":"https://doi.org/10.22146/jisph.71333","url":null,"abstract":"Background : the patient referral system is felt to be ineffective and inefficient, there are still many people who have not been able to effectively reach health services that occur in patients in several large hospitals. DaSK is a portal that can be used as a reference for mapping data on human resources, health service facilities, facilities and infrastructure, utilization, and referrals flow. Methods : This is action research with a quantitative approach. The Health System Dashboard (DaSK) as a referral portal for data related to the health system in strengthening Regional Hospital referrals was developed by the Center for Health Policy and Management (PKMK) Faculty of Medicine, Public Health and Nursing (FK-KMK) UGM working with the Directorate of Referral Services Indonesian Ministry of Health. Result : The source of the DaSK data taken from the RS Online, ASPAK and SI-SDMK application databases belonging to the Indonesian Ministry of Health which is integrated into the Referral System DaSK database through the Application Programming Interface (API). Some features such as Facilities, Utilization, Referral and Analysis are in the process of data integration, so that the results of the visualization and analysis cannot be displayed for these features. Conclusion : The DaSK can be a reference for equitable distribution of health services in Indonesia and improve the accessibility of reference service information for the wider community.","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124748574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Budi Rahayu Hospital at Magelang City has implemented HIS in partnership with the SIMKES FKKMK laboratory of Gadjah Mada University since April 2021. During the initial four months of implementation, Budi Rahayu Hospital experienced various challenges. For understanding and overcome the challenges, it is necessary to construct a strategy of HIS implementation, and then offer a proper recommendation based on study.Methods: This study is a descriptive qualitative with action research design that describe four stages of action research i.e Diagnosing, Planning, Action, and Evaluation. On the Diagnosing stage, Author arrange an interview and discussion with Hospital Team. Next, Author plan a strategy to generate suitable recommendations for the successful implementation of HIS. In the Action stage, author conduct an implementation review and assistance. Author also manage an UAT as a evaluation stage distributed to respondents using a questionnaire. The study is performed by observing of HIS implementation from September – December 2021. The subject of this study is chosen purposively from departments involved, with total 20 end-users respondents on multiple service units to capture data in a real environtment when HIS is used for healthcare services to patients.Results: Strategic actions for smooth implementation is active involvements and collaboration from developer team and hospital team monitored by regional health services. the hospital team and developer team formed an online communication group as a place to discuss the problems encountered. There are monitoring activities that involved by regional health services, so the timeline that has been set runs according to the target and the hospital gets optimal benefits of HIS implementation. System acceptance is important for the further development of HIS. The score of HIS acceptance at Budi Rahayu Hospital is 70% based on 85% scenario that execute successfully. Based on system performance, continues maintenance and communication among implementation team, HIS can be accepted with condition of continuous improvement and adjustment.Conclusions: Active involvements and collaboration from developer team and hospital team, performance improvement and availability of the system is very crucial for user acceptance, satisfaction and overall success of HIS implementation. Keywords: HIS, Implementation, UAT
{"title":"HIS Implementation in Small Hospital","authors":"Resia Perwirani","doi":"10.22146/jisph.71310","DOIUrl":"https://doi.org/10.22146/jisph.71310","url":null,"abstract":"Background: Budi Rahayu Hospital at Magelang City has implemented HIS in partnership with the SIMKES FKKMK laboratory of Gadjah Mada University since April 2021. During the initial four months of implementation, Budi Rahayu Hospital experienced various challenges. For understanding and overcome the challenges, it is necessary to construct a strategy of HIS implementation, and then offer a proper recommendation based on study.Methods: This study is a descriptive qualitative with action research design that describe four stages of action research i.e Diagnosing, Planning, Action, and Evaluation. On the Diagnosing stage, Author arrange an interview and discussion with Hospital Team. Next, Author plan a strategy to generate suitable recommendations for the successful implementation of HIS. In the Action stage, author conduct an implementation review and assistance. Author also manage an UAT as a evaluation stage distributed to respondents using a questionnaire. The study is performed by observing of HIS implementation from September – December 2021. The subject of this study is chosen purposively from departments involved, with total 20 end-users respondents on multiple service units to capture data in a real environtment when HIS is used for healthcare services to patients.Results: Strategic actions for smooth implementation is active involvements and collaboration from developer team and hospital team monitored by regional health services. the hospital team and developer team formed an online communication group as a place to discuss the problems encountered. There are monitoring activities that involved by regional health services, so the timeline that has been set runs according to the target and the hospital gets optimal benefits of HIS implementation. System acceptance is important for the further development of HIS. The score of HIS acceptance at Budi Rahayu Hospital is 70% based on 85% scenario that execute successfully. Based on system performance, continues maintenance and communication among implementation team, HIS can be accepted with condition of continuous improvement and adjustment.Conclusions: Active involvements and collaboration from developer team and hospital team, performance improvement and availability of the system is very crucial for user acceptance, satisfaction and overall success of HIS implementation. Keywords: HIS, Implementation, UAT","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127135568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IMPLEMENTASI PENGEMBANGAN ASDK PADA PROGRAM GIZI DAN KESGA DI DINAS KESEHATAN KABUPATEN KULON PROGO","authors":"Rizky Yuspita Sari","doi":"10.22146/jisph.71292","DOIUrl":"https://doi.org/10.22146/jisph.71292","url":null,"abstract":"","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"350 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133355694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interoperabilitas Aplikasi Pelayanan KIA Di Kulon Progo Sebagai Upaya Mendukung Continuum Of Care","authors":"Riska Pradita","doi":"10.22146/jisph.71327","DOIUrl":"https://doi.org/10.22146/jisph.71327","url":null,"abstract":"","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115336474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Surveillance activity for rabies cases in Indonesia are still Conclusions: DHIS2 could be used as rabies surveillance system. Some challenges and obstacles were faced in the process of the eZoonosis development and implementation for rabies surveillance which need further action.
{"title":"Implementasi DHIS2 untuk Program Surveilans Kasus Gigitan Hewan Penyebab Rabies di Indonesia","authors":"Untoro Dwi Raharjo","doi":"10.22146/jisph.71311","DOIUrl":"https://doi.org/10.22146/jisph.71311","url":null,"abstract":"Background: Surveillance activity for rabies cases in Indonesia are still Conclusions: DHIS2 could be used as rabies surveillance system. Some challenges and obstacles were faced in the process of the eZoonosis development and implementation for rabies surveillance which need further action.","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132004059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRAKLatar Belakang: Terjadinya lonjakan pasien COVID-19 berakibat pada kelebihan beban Rumah Sakit dan kekurangan logistik medis, banyak institusi baik dari sektor publik maupun swasta bekerja secara cepat mengembangkan infrastruktur teknologi informasi pendukung baik dalam bentuk laman web, aplikasi, ataupun perangkat-perangkat teknologi digital lainnya. Namun upaya-upaya tersebut seringkali tidak terkoordinasi baik antara lembaga kepemerintahan, upaya sektor publik dan sektor swasta/masyarakat. Hal ini mengakibatkan terjadinya asimetri dan fragmentasi informasi di mana informasi berada pada lokus-lokus eksklusif dan hanya digunakan oleh institusi atau komunitas tertentu. Untuk mewujudkan sinergi tersebut dibutuhkan adanya pemetaan keberadaan dan kebutuhan teknologi digital. Tujuan: melakukan pemetaan lanskap inisiatif teknologi informasi pendukung COVID-19 di DKI Jakarta dan DI Yogyakarta dan mengidentifikasi gap yang belum terjembatani antara usaha yang dilakukan pemerintah dan sektor swasta untuk membantu persiapan surge capacity rumah sakitMetode Penelitian: Penelitian ini menggunakan pendekatan kualitatif dengan model analisis dokumentasi. Dalam penelitian ini dokumen yang diselidiki adalah dokumentasi-dokumentasi yang tersedia dalam website atau aplikasi inovasi teknologi digital, kebijakan, himbauan, berita, dan lain sebagainya baik dalam bentuk tertulis maupun audio/visual. Hasil: Terdapat 26 aplikasi dan 7 website terkait COVID-19 di Indonesia. Aplikasi dan/atau website yang dipetakan menjadi dua kategori, yaitu publik dan non-publik. Kategori publik merupakan aplikasi dan/atau website yang dapat digunakan oleh masyarakat umum dan tidak memerlukan akses khusus. Sedangkan kategori non publik adalah untuk aplikasi dan/atau website yang hanya bisa digunakan oleh pihak-pihak tertentu saja dan memerlukan akses khusus, keberadaan informasi dari kategori non publik ini bersifat rahasia. Terdapat 32 temuan aplikasi/website untuk kategori publik dan 4 temuan untuk kategori non-publik.Kesimpulan: Pemerintah Daerah DIY (bersama dengan para penggiat TI di DIY) telah membuat berbagai teknologi informasi dalam menangani pandemi COVID-19 (khusus untuk DIY) masih terdapat beberapa tantangan yaitu berkaitan dengan contact tracing, data sharing yang dapat dimanfaatkan oleh pihak lain yang menjadi teknologi yang paling dibutuhkan saat ini. misal para stakeholder, akademisi (peneliti), masyarakat, dan perlunya regulasi dari pemerintah pusat/daerah terkait pengelolaan teknologi informasi agar data dapat dimanfaatkan oleh berbagai pihak terkait untuk membantu mengatasi pandemi COVID-19.Kata Kunci: e-Health, Pemetaan Teknologi Digital, Covid-19
{"title":"Pemetaan Ekosistem Teknologi Digital untuk Membantu Penanganan Covid-19 di Daerah Istimewa Yogyakarta dan Daerah Khusus Ibukota Jakarta","authors":"Insan Rekso Adiwibowo","doi":"10.22146/jisph.62457","DOIUrl":"https://doi.org/10.22146/jisph.62457","url":null,"abstract":"ABSTRAKLatar Belakang: Terjadinya lonjakan pasien COVID-19 berakibat pada kelebihan beban Rumah Sakit dan kekurangan logistik medis, banyak institusi baik dari sektor publik maupun swasta bekerja secara cepat mengembangkan infrastruktur teknologi informasi pendukung baik dalam bentuk laman web, aplikasi, ataupun perangkat-perangkat teknologi digital lainnya. Namun upaya-upaya tersebut seringkali tidak terkoordinasi baik antara lembaga kepemerintahan, upaya sektor publik dan sektor swasta/masyarakat. Hal ini mengakibatkan terjadinya asimetri dan fragmentasi informasi di mana informasi berada pada lokus-lokus eksklusif dan hanya digunakan oleh institusi atau komunitas tertentu. Untuk mewujudkan sinergi tersebut dibutuhkan adanya pemetaan keberadaan dan kebutuhan teknologi digital. Tujuan: melakukan pemetaan lanskap inisiatif teknologi informasi pendukung COVID-19 di DKI Jakarta dan DI Yogyakarta dan mengidentifikasi gap yang belum terjembatani antara usaha yang dilakukan pemerintah dan sektor swasta untuk membantu persiapan surge capacity rumah sakitMetode Penelitian: Penelitian ini menggunakan pendekatan kualitatif dengan model analisis dokumentasi. Dalam penelitian ini dokumen yang diselidiki adalah dokumentasi-dokumentasi yang tersedia dalam website atau aplikasi inovasi teknologi digital, kebijakan, himbauan, berita, dan lain sebagainya baik dalam bentuk tertulis maupun audio/visual. Hasil: Terdapat 26 aplikasi dan 7 website terkait COVID-19 di Indonesia. Aplikasi dan/atau website yang dipetakan menjadi dua kategori, yaitu publik dan non-publik. Kategori publik merupakan aplikasi dan/atau website yang dapat digunakan oleh masyarakat umum dan tidak memerlukan akses khusus. Sedangkan kategori non publik adalah untuk aplikasi dan/atau website yang hanya bisa digunakan oleh pihak-pihak tertentu saja dan memerlukan akses khusus, keberadaan informasi dari kategori non publik ini bersifat rahasia. Terdapat 32 temuan aplikasi/website untuk kategori publik dan 4 temuan untuk kategori non-publik.Kesimpulan: Pemerintah Daerah DIY (bersama dengan para penggiat TI di DIY) telah membuat berbagai teknologi informasi dalam menangani pandemi COVID-19 (khusus untuk DIY) masih terdapat beberapa tantangan yaitu berkaitan dengan contact tracing, data sharing yang dapat dimanfaatkan oleh pihak lain yang menjadi teknologi yang paling dibutuhkan saat ini. misal para stakeholder, akademisi (peneliti), masyarakat, dan perlunya regulasi dari pemerintah pusat/daerah terkait pengelolaan teknologi informasi agar data dapat dimanfaatkan oleh berbagai pihak terkait untuk membantu mengatasi pandemi COVID-19.Kata Kunci: e-Health, Pemetaan Teknologi Digital, Covid-19","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127766257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Berdasarkan 2016 2019 jumlah, namun pada tahun 2020 mengalami kenaikan kasus. Dinas Kesehatan Kota Yogyakarta merancang sistem informasi Early Warning System for Dengue (EWS DBD) sebagai upaya pengendalian demam berdarah melalui prediksi kasus bulan datang. Namun sistem EWS DBD masih perlu dilakukan pengembangan. itu penelitian ini memberikan sistem (Roadmap) ABSTRACT Background: Dengue most According to the Yogyakarta City Health Office data, dengue fever cases decreased from 2016 to 2019 but increased in 2020. The Yogyakarta City Health Office developed the Early Warning System for Dengue (EWS DBD) information system to prevent dengue fever in the coming months through case prediction. However, the DHF EWS system still needs to be developed. As a result, this study provides an overview and process for developing a DHF EWS system (Roadmap) by analyzing the components that should be included in the DHF EWS development plan refers to the Health Metrics Network (HMN) theoretical framework and the Technology Roadmapping Framework (TRM). Method : Qualitative descriptive case study was to examine the need for the development of EWS DHF by using WHO's Health Metrics Network (HMN) theory. Result : The DHF EWS is used to inform policy decisions regarding dengue fever prevention. At the moment, the DHF EWS can forecast monthly cases through graphic visualizations and maps with color-coded alerts. Additionally, there is a feature for downloading predictive results and the contact us feature. There is still scope for further improvement. It is mainly in the technological realm, including increasing the frequency of data collection per week, incorporating safeguarding data sharing (SQL), providing information on data visualization, adding features for policy history notes, granting policy ratings notifying users. The human resource (HR) component includes system orientation, data interpretation training, and work procedure guidelines. Moreover, the policy aspect includes system Masyarakat integration efforts, a collaboration between fields/agencies, and intellectual property rights (IPR). Conclusion : Whereas the DHF EWS can inform policy-making, the data obtained are still relatively meager. The system's user-friendliness of use can still be improved, particularly in terms of system features, human resources, and organization (policy).
{"title":"Roadmap Pengembangan Early warning system for Dengue (EWS) DBD di Dinas kesehatan Kota Yogyakarta","authors":"Fitratun Auliyah","doi":"10.22146/jisph.68043","DOIUrl":"https://doi.org/10.22146/jisph.68043","url":null,"abstract":"Berdasarkan 2016 2019 jumlah, namun pada tahun 2020 mengalami kenaikan kasus. Dinas Kesehatan Kota Yogyakarta merancang sistem informasi Early Warning System for Dengue (EWS DBD) sebagai upaya pengendalian demam berdarah melalui prediksi kasus bulan datang. Namun sistem EWS DBD masih perlu dilakukan pengembangan. itu penelitian ini memberikan sistem (Roadmap) ABSTRACT Background: Dengue most According to the Yogyakarta City Health Office data, dengue fever cases decreased from 2016 to 2019 but increased in 2020. The Yogyakarta City Health Office developed the Early Warning System for Dengue (EWS DBD) information system to prevent dengue fever in the coming months through case prediction. However, the DHF EWS system still needs to be developed. As a result, this study provides an overview and process for developing a DHF EWS system (Roadmap) by analyzing the components that should be included in the DHF EWS development plan refers to the Health Metrics Network (HMN) theoretical framework and the Technology Roadmapping Framework (TRM). Method : Qualitative descriptive case study was to examine the need for the development of EWS DHF by using WHO's Health Metrics Network (HMN) theory. Result : The DHF EWS is used to inform policy decisions regarding dengue fever prevention. At the moment, the DHF EWS can forecast monthly cases through graphic visualizations and maps with color-coded alerts. Additionally, there is a feature for downloading predictive results and the contact us feature. There is still scope for further improvement. It is mainly in the technological realm, including increasing the frequency of data collection per week, incorporating safeguarding data sharing (SQL), providing information on data visualization, adding features for policy history notes, granting policy ratings notifying users. The human resource (HR) component includes system orientation, data interpretation training, and work procedure guidelines. Moreover, the policy aspect includes system Masyarakat integration efforts, a collaboration between fields/agencies, and intellectual property rights (IPR). Conclusion : Whereas the DHF EWS can inform policy-making, the data obtained are still relatively meager. The system's user-friendliness of use can still be improved, particularly in terms of system features, human resources, and organization (policy).","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126742511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background : Currently, information system and information technology have the most important productivity factors in hospitals, quality patient care, and good hospital financing management a hospital information system is needed that can provide correct information and available on time. Information system and information technology (IS/IT) that are made without making good planning can result in information that is difficult to integrate, ineffective, inefficient an not directed, it can cause harm to the organization because investments made in the development of information systems are not in accordance with the needs of an organization, so as to avoid this occurence, it’s necessary to make a strategic plan that is good as a reference for organization. Strategic plans for information systems and information technology are needed to support the hospital’s strategic plan. Objective : This research is intended to develop an IS/IT strategic plan that support the development of information system and technology systems at Grhasia Mental Hospital using the Zachman framework method. Method : This research is a qualitative research with action research approach. This research was conducted by in depth interviews with management, users and managers of infromation systems, observation and document review. Result : Implementation of IS/IT in Grhasia Mental Hospital is still very limited, the constraints owned by such reports are still manual so can’t be used as decision support, IT human resources are lacking, both quality and quantity, bandwidth is still limited and there are not Standart Operating Procedure for IS/IT management. But with the management that has a commitment to increase the additional budget to improve the quality of IS/IT at Grhasia Mental Hospital. Conclusion : The IS/IT strategic plan using a SWOT analysis has a SO strategy of 6 strategies, a WO strategy of 10 strategies, a ST strategy of 5 strategies and WT strategy of 3 strategies. Information systems that will be developed in 17 systems.
{"title":"Penyusunan rencana strategis sistem informasi dan teknologi informasi di rumah sakit jiwa grhasia daerah istimewa yogyakarta","authors":"Ade Kurniawan","doi":"10.22146/jisph.46182","DOIUrl":"https://doi.org/10.22146/jisph.46182","url":null,"abstract":"Background : Currently, information system and information technology have the most important productivity factors in hospitals, quality patient care, and good hospital financing management a hospital information system is needed that can provide correct information and available on time. Information system and information technology (IS/IT) that are made without making good planning can result in information that is difficult to integrate, ineffective, inefficient an not directed, it can cause harm to the organization because investments made in the development of information systems are not in accordance with the needs of an organization, so as to avoid this occurence, it’s necessary to make a strategic plan that is good as a reference for organization. Strategic plans for information systems and information technology are needed to support the hospital’s strategic plan. Objective : This research is intended to develop an IS/IT strategic plan that support the development of information system and technology systems at Grhasia Mental Hospital using the Zachman framework method. Method : This research is a qualitative research with action research approach. This research was conducted by in depth interviews with management, users and managers of infromation systems, observation and document review. Result : Implementation of IS/IT in Grhasia Mental Hospital is still very limited, the constraints owned by such reports are still manual so can’t be used as decision support, IT human resources are lacking, both quality and quantity, bandwidth is still limited and there are not Standart Operating Procedure for IS/IT management. But with the management that has a commitment to increase the additional budget to improve the quality of IS/IT at Grhasia Mental Hospital. Conclusion : The IS/IT strategic plan using a SWOT analysis has a SO strategy of 6 strategies, a WO strategy of 10 strategies, a ST strategy of 5 strategies and WT strategy of 3 strategies. Information systems that will be developed in 17 systems.","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
necessary to be reviewed how the acceptance of DHIS2 by health human resource in Kulon Progo. Methods: Research used is non-experimental quantitative research with a cross-sectional study design. The research subject is all staff of the health Office of Kulon Progo Regency. Data retrieval after the respondent following the demo application DHIS2, FGD, and interviews. Analysis of data used for univariate is using the top 2 boxes and grouped into positive and negative categories, carried out the relationship test Rank Spearman and to support quantitative analysis results then discussed with the results of interviews and FGD . Results: The results obtained are performance expectancy, effort expectancy, social influence and facilitating condition have a significant relationship to the behavioral intention. Then in behavioral intention obtained only 10%. But in the performance variable expectancy obtained positive results about the perception of respondents to the usefulness of DHIS2 when implemented in the district of Kulon Progo is 62%. Respondents had a great expectation of the DHIS2's usefulness but had low intentions of use. It is explained with the results of FGD and interviews where leadership has a role in behavioral intention by staff and there is a different point of view regarding the desire to use DHIS2 between structural officers and staff. Conclusions: Assessment on performance expectancy tends to be positive with a percentage of 62% while in behavioral intentions only by 10% (with 71% of respondents having an assessment in the neutral to positive range), it is motivated by leadership factors (no direction from structural officials to use DHIS2 after attending DHIS2 workshop, absence of head of health office in the last year period), the number of health applications applied with limited human resources in the health service, understanding of DHIS2 as a new system.
{"title":"Penerimaan DHIS2 oleh Sumber Daya Manusia Kesehatan di Kabupaten Kulon Progo","authors":"Lia Achmad","doi":"10.22146/jisph.71284","DOIUrl":"https://doi.org/10.22146/jisph.71284","url":null,"abstract":"necessary to be reviewed how the acceptance of DHIS2 by health human resource in Kulon Progo. Methods: Research used is non-experimental quantitative research with a cross-sectional study design. The research subject is all staff of the health Office of Kulon Progo Regency. Data retrieval after the respondent following the demo application DHIS2, FGD, and interviews. Analysis of data used for univariate is using the top 2 boxes and grouped into positive and negative categories, carried out the relationship test Rank Spearman and to support quantitative analysis results then discussed with the results of interviews and FGD . Results: The results obtained are performance expectancy, effort expectancy, social influence and facilitating condition have a significant relationship to the behavioral intention. Then in behavioral intention obtained only 10%. But in the performance variable expectancy obtained positive results about the perception of respondents to the usefulness of DHIS2 when implemented in the district of Kulon Progo is 62%. Respondents had a great expectation of the DHIS2's usefulness but had low intentions of use. It is explained with the results of FGD and interviews where leadership has a role in behavioral intention by staff and there is a different point of view regarding the desire to use DHIS2 between structural officers and staff. Conclusions: Assessment on performance expectancy tends to be positive with a percentage of 62% while in behavioral intentions only by 10% (with 71% of respondents having an assessment in the neutral to positive range), it is motivated by leadership factors (no direction from structural officials to use DHIS2 after attending DHIS2 workshop, absence of head of health office in the last year period), the number of health applications applied with limited human resources in the health service, understanding of DHIS2 as a new system.","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128386974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Latar belakang: Rekam medis merupakan sumber data bagi rumah sakit yang dapat diolah menjadi statistik. Statistik mortalitas termasuk dalam statistik pelayanan kesehatan yang bermanfaat dalam upaya penjagaan mutu rumah sakit. Tujuan penelitian ini yaitu mengetahui gambaran statistik tingkat mortalitas di Rumah Sakit Katolik Budi Rahayu Blitar beserta trend angka kematiannya sekaligus perkiraan (forecasting) angka kematian pada tahun 2021 dan 2022 Metode: Penelitian deskriptif kuantitatif dengan metode survei merupakan jenis penelitian ini. Data diperoleh melalui observasi dan kuesioner. Hasil: Trend MDR, PODR, dan ADR mendatar selama 2017-2019. Trend FDR meningkat selama 2017-2019. Prediksi nilai GDR tahun 2021 sebesar 55,34‰ dan tahun 2022 sebesar 48,8‰. Prediksi nilai NDR tahun 2021 sebesar 18,3‰ dan tahun 2022 sebesar 11,33‰. Prediksi nilai MDR tahun 2021 dan 2022 sebesar 0,13%. Prediksi nilai NMR tahun 2021 sebesar 0,19% dan tahun 2022 sebesar 0%. Kesimpulan: Prediksi indikator mortalitas menunjukkan GDR dan FDR belum memenuhi standar ideal, sedangkan NDR, MDR, NMR, PODR, dan ADR sudah memenuhi standar ideal. Sebaiknya pihak rumah sakit melakukan evaluasi atau audit medis terhadap indikator yang melebihi standar dan terus meningkatkan kinerja pelayanan agar indikator selalu mencapai standar ideal.
{"title":"Analisis Tingkat Mortalitas pada Laporan Tahunan di Rumah Sakit Katolik Budi Rahayu Blitar","authors":"Femy Anggryani","doi":"10.22146/jisph.71078","DOIUrl":"https://doi.org/10.22146/jisph.71078","url":null,"abstract":"Latar belakang: Rekam medis merupakan sumber data bagi rumah sakit yang dapat diolah menjadi statistik. Statistik mortalitas termasuk dalam statistik pelayanan kesehatan yang bermanfaat dalam upaya penjagaan mutu rumah sakit. Tujuan penelitian ini yaitu mengetahui gambaran statistik tingkat mortalitas di Rumah Sakit Katolik Budi Rahayu Blitar beserta trend angka kematiannya sekaligus perkiraan (forecasting) angka kematian pada tahun 2021 dan 2022 Metode: Penelitian deskriptif kuantitatif dengan metode survei merupakan jenis penelitian ini. Data diperoleh melalui observasi dan kuesioner. Hasil: Trend MDR, PODR, dan ADR mendatar selama 2017-2019. Trend FDR meningkat selama 2017-2019. Prediksi nilai GDR tahun 2021 sebesar 55,34‰ dan tahun 2022 sebesar 48,8‰. Prediksi nilai NDR tahun 2021 sebesar 18,3‰ dan tahun 2022 sebesar 11,33‰. Prediksi nilai MDR tahun 2021 dan 2022 sebesar 0,13%. Prediksi nilai NMR tahun 2021 sebesar 0,19% dan tahun 2022 sebesar 0%. Kesimpulan: Prediksi indikator mortalitas menunjukkan GDR dan FDR belum memenuhi standar ideal, sedangkan NDR, MDR, NMR, PODR, dan ADR sudah memenuhi standar ideal. Sebaiknya pihak rumah sakit melakukan evaluasi atau audit medis terhadap indikator yang melebihi standar dan terus meningkatkan kinerja pelayanan agar indikator selalu mencapai standar ideal.","PeriodicalId":365453,"journal":{"name":"Journal of Information Systems for Public Health","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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