Business Intelligence Model of Regional Hospitals using HGOD Discovery
Based on data from the Regional General Hospital in the Bangka Belitung Islands province, the Gross Death Rate (GDR) is the general death rate for every 1000 patients discharged of 108,430 compared to the health department standard of <45. The Net Death Rate (NDR) is the death rate 48 hours after...
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LPPM ISB Atma Luhur
2025-01-01
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| Series: | Jurnal Sisfokom |
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| Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2320 |
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| author | Hengki Hengki Rahmat Gernowo Oky Dwi Nurhayati |
| author_facet | Hengki Hengki Rahmat Gernowo Oky Dwi Nurhayati |
| author_sort | Hengki Hengki |
| collection | DOAJ |
| description | Based on data from the Regional General Hospital in the Bangka Belitung Islands province, the Gross Death Rate (GDR) is the general death rate for every 1000 patients discharged of 108,430 compared to the health department standard of <45. The Net Death Rate (NDR) is the death rate 48 hours after being treated for every 1000 patients discharged of 67,388 compared to the health department standard of <25. TOI (Turn Over Interval) is the average turnover period of days where a bed is unoccupied from being filled to the next time it is filled of 19,832 days compared to the health department standard of 1 to 3 days. The solution offered by the researcher develops Business Intelligence (BI) optimization with a new model called the HGO (Hierarchy, Governance, Outlook) Discovery approach as a framework model for developing business intelligence for regional general hospitals in Indonesia. This model is expected to be able to solve or reduce the dimensional problems that exist in hospitals, namely the main patient management, HR Key Resources, and the quality of inpatient health services. The HGO Discovery approach is able to find patterns in a series of events called sequences by sorting the work patterns that exist in the hospital so that the business process of regional general hospitals is faster and more interactive in decision making. The Business Intelligence approach carried out by regional hospitals with HGOD is expected to make patient health services more integrated through the hierarchy of patient services, governance and outlook in decision making. |
| format | Article |
| id | doaj-art-c9389877e08f4574a29acc4217ef3591 |
| institution | Kabale University |
| issn | 2301-7988 2581-0588 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | LPPM ISB Atma Luhur |
| record_format | Article |
| series | Jurnal Sisfokom |
| spelling | doaj-art-c9389877e08f4574a29acc4217ef35912025-02-12T07:27:38ZengLPPM ISB Atma LuhurJurnal Sisfokom2301-79882581-05882025-01-01141869110.32736/sisfokom.v14i1.23201983Business Intelligence Model of Regional Hospitals using HGOD DiscoveryHengki Hengki0Rahmat Gernowo1Oky Dwi Nurhayati2Doctoral Program of Information System, School of postgraduate studies Doctoral Program of Information System, School of postgraduate studies Doctoral Program of Information System, School of postgraduate studies Based on data from the Regional General Hospital in the Bangka Belitung Islands province, the Gross Death Rate (GDR) is the general death rate for every 1000 patients discharged of 108,430 compared to the health department standard of <45. The Net Death Rate (NDR) is the death rate 48 hours after being treated for every 1000 patients discharged of 67,388 compared to the health department standard of <25. TOI (Turn Over Interval) is the average turnover period of days where a bed is unoccupied from being filled to the next time it is filled of 19,832 days compared to the health department standard of 1 to 3 days. The solution offered by the researcher develops Business Intelligence (BI) optimization with a new model called the HGO (Hierarchy, Governance, Outlook) Discovery approach as a framework model for developing business intelligence for regional general hospitals in Indonesia. This model is expected to be able to solve or reduce the dimensional problems that exist in hospitals, namely the main patient management, HR Key Resources, and the quality of inpatient health services. The HGO Discovery approach is able to find patterns in a series of events called sequences by sorting the work patterns that exist in the hospital so that the business process of regional general hospitals is faster and more interactive in decision making. The Business Intelligence approach carried out by regional hospitals with HGOD is expected to make patient health services more integrated through the hierarchy of patient services, governance and outlook in decision making.https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2320business intelligencehgod discoveryhospitaloptimatizationgovernance |
| spellingShingle | Hengki Hengki Rahmat Gernowo Oky Dwi Nurhayati Business Intelligence Model of Regional Hospitals using HGOD Discovery Jurnal Sisfokom business intelligence hgod discovery hospital optimatization governance |
| title | Business Intelligence Model of Regional Hospitals using HGOD Discovery |
| title_full | Business Intelligence Model of Regional Hospitals using HGOD Discovery |
| title_fullStr | Business Intelligence Model of Regional Hospitals using HGOD Discovery |
| title_full_unstemmed | Business Intelligence Model of Regional Hospitals using HGOD Discovery |
| title_short | Business Intelligence Model of Regional Hospitals using HGOD Discovery |
| title_sort | business intelligence model of regional hospitals using hgod discovery |
| topic | business intelligence hgod discovery hospital optimatization governance |
| url | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2320 |
| work_keys_str_mv | AT hengkihengki businessintelligencemodelofregionalhospitalsusinghgoddiscovery AT rahmatgernowo businessintelligencemodelofregionalhospitalsusinghgoddiscovery AT okydwinurhayati businessintelligencemodelofregionalhospitalsusinghgoddiscovery |