Assessment of Health Information System Implementation Using PIECES Method: A Case Study of SI-KERIS at RSUD Dr. R. Soedjono Selong

This study aims to evaluate the implementation of the SI-KERIS application at RSUD Dr. R. Soedjono Selong using the PIECES framework, which covers aspects of Performance, Information, Economy, Control, Efficiency, and Service. A qualitative descriptive approach was employed, with data collected through observation, interviews, and documentation review. The findings indicate that SI-KERIS effectively processes inpatient service indicators such as Bed Occupancy Rate (BOR), Average Length of Stay (AvLOS), Turn Over Interval (TOI), Bed Turn Over (BTO), Gross Death Rate (GDR), and Net Death Rate (NDR). However, challenges were identified regarding network connectivity, data integration, and the absence of a backup system. These results underscore the need to enhance system interoperability, strengthen data security, and provide user training. The application of the PIECES framework offers strategic insights to identify improvement areas and optimize hospital health information systems

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Publication Details

Journal
Jurnal Ners
Published
2025-04-29
DOI
https://doi.org/10.31004/jn.v9i2.44483
Primary Topic
Big Data and Business Intelligence
Type
article
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0.00
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article

Assessment of Health Information System Implementation Using PIECES Method: A Case Study of SI-KERIS at RSUD Dr. R. Soedjono Selong

Yan Sitaristy Citraningtyas, Edy Susena
Jurnal Ners
Big Data and Business Intelligence
article

Assessment of Health Information System Implementation Using PIECES Method: A Case Study of SI-KERIS at RSUD Dr. R. Soedjono Selong

Yan Sitaristy Citraningtyas, Edy Susena
article en

Abstract

This study aims to evaluate the implementation of the SI-KERIS application at RSUD Dr. R. Soedjono Selong using the PIECES framework, which covers aspects of Performance, Information, Economy, Control, Efficiency, and Service. A qualitative descriptive approach was employed, with data collected through observation, interviews, and documentation review. The findings indicate that SI-KERIS effectively processes inpatient service indicators such as Bed Occupancy Rate (BOR), Average Length of Stay (AvLOS), Turn Over Interval (TOI), Bed Turn Over (BTO), Gross Death Rate (GDR), and Net Death Rate (NDR). However, challenges were identified regarding network connectivity, data integration, and the absence of a backup system. These results underscore the need to enhance system interoperability, strengthen data security, and provide user training. The application of the PIECES framework offers strategic insights to identify improvement areas and optimize hospital health information systems

Jurnal NersVol. 9(2)
Universitas Surakarta (ID)
Openalex Percentile: Top 79%
Big Data and Business Intelligence
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