Risk Management Information System Architecture for a Hospital Center

2013 ◽  
Vol 8 (4) ◽  
pp. 58-72
Author(s):  
Fábio Costa ◽  
Patrícia Santos ◽  
João Varajão ◽  
Luís Torres Pereira ◽  
Vitor Costa
Keyword(s):  
Information System ◽  
Risk Management ◽  
Management Information System ◽  
Risk Indicators ◽  
Management Information ◽  
Information System Architecture ◽  
Services Delivery ◽  
Clinical Systems ◽  
Hospital Center

In modern day’s institutions, risk management plays a crucial role as it aims to minimize the likelihood of adverse events and contributes to improve the quality of services delivery. In health care, an effective risk management is only possible if supported by information systems that can produce high quality measures and meaningful risk indicators. These indicators will then allow the healthcare organization to self-assess by identifying critical gaps and opportunities for improvement in several frontiers. Such an organizational thrust is not only warranted for competitiveness but also fundamental for the purpose of benchmarking, accreditation and certification. Additionally, monitoring of specific indicators is often required by the tutelage. However, the development of a risk management system can be an arduous process due to the inherent complexity of clinical systems. This paper presents an architecture for the implementation of a risk management information system, using as example the case of CHTMAD, a Portuguese hospital center.

Risk Management Information System Architecture for a Hospital Center

2015 ◽  
pp. 755-770
Author(s):  
Fábio Costa ◽  
Patrícia Santos ◽  
João Varajão ◽  
Luís Torres Pereira ◽  
Vitor Costa
Keyword(s):  
Information System ◽  
Risk Management ◽  
Management Information System ◽  
Risk Indicators ◽  
Management Information ◽  
Information System Architecture ◽  
Services Delivery ◽  
Clinical Systems ◽  
Hospital Center

In modern day's institutions, risk management plays a crucial role as it aims to minimize the likelihood of adverse events and contributes to improve the quality of services delivery. In health care, an effective risk management is only possible if supported by information systems that can produce high quality measures and meaningful risk indicators. These indicators will then allow the healthcare organization to self-assess by identifying critical gaps and opportunities for improvement in several frontiers. Such an organizational thrust is not only warranted for competitiveness but also fundamental for the purpose of benchmarking, accreditation and certification. Additionally, monitoring of specific indicators is often required by the tutelage. However, the development of a risk management system can be an arduous process due to the inherent complexity of clinical systems. This paper presents an architecture for the implementation of a risk management information system, using as example the case of CHTMAD, a Portuguese hospital center.

scholarly journals National Zakat Management Information System: E-Sercive Quality and Its Impact on National Zakat Collection

2019 ◽  
pp. 98-124
Author(s):  
Randi Swandaru
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Service Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Management Information System ◽  
Reliability And Validity ◽  
Management Information ◽  
The Impact

The purpose of this study is to examine the impact and the electronic service quality of the national zakat management information system (SIMBA) on the national zakat collection. This paper uses a multiple regression analysis in its explorative attempt to illustrate the impact of SIMBA implementation on the national zakat collection. It shows that SIMBA is positive and significantly impact the national zakat collection as well as the human development index that is used as a proxy for the human resource management quality of zakat institutions in the respective city. Nonetheless, the population is negative and significant to the zakat collection as endemic poverty and reluctance to pay zakat are indicated as the reasons. Moreover, this study has succeeded in adapting and conducting e-service quality survey to zakat information system realm. All the tests prove that the instrument in this study has a high degree of reliability and validity. The results show that some of the demographic factors significantly impact the perceived performance of SIMBA. Multiple regression analysis that is conducted in this study shows that e-service quality dimension is positive and significant towards SIMBA’ overall quality, perceived value, and loyalty intention. This study contributes to the zakat management system literature, especially in the impact of the national zakat information system, which is pivotal in enhancing zakat collection and poverty alleviation program funded by zakat.

scholarly journals Data Quality of the Routine Health Management Information System at the Primary Healthcare Facility and District Levels in Tanzania

2020 ◽  
Author(s):  
SUSAN F. RUMISHA ◽  
EMANUEL P. LYIMO ◽  
IRENE R. MREMI ◽  
PATRICK K. TUNGU ◽  
VICTOR S. MWINGIRA ◽  
...  
Keyword(s):  
Information System ◽  
Data Quality ◽  
Management Information System ◽  
Health Management ◽  
Health Centre ◽  
Healthcare Facility ◽  
Health Management Information System ◽  
Management Information ◽  
Service Areas

Abstract Background: Effective planning for disease prevention and control requiresaccurate, adequately-analysed, interpreted and communicated data. This study assessed the quality of routine Health Management Information System (HMIS) data at healthcare facility (HF) and district levels in Tanzania. Methods: HMIS tools used at primary health care facilities (dispensary, health centre, hospital) and district office were reviewed to assess their availability, completeness, and accuracy of collected data. The assessment involved seven health service areas namely, Outpatient department, Inpatient department, Antenatal care, Family Planning, Post-natal care, Labour and Delivery and Provider-initiated Testing and Counselling.Results: A total of 115 HFs in 11 districts were assessed. Registers (availability rate=91.1%; interquartile range (IQR):66.7%-100%) and reportforms (86.9%;IQR:62.2%-100%) were the most utilized tools. There was a limited use of tally-sheets (77.8%;IQR:35.6%-100%). Tools availability at dispensary was 91.1%, health-centre 82.2% and hospital 77.8%, and was poor in urban districts. The availability rate atthe district level was 65% (IQR:48%-75%). Reports were highly over-represented in comparison to registers’ records, with large differences observed at HF phase of the data journey and more profound in hospitals.Tool availability and data quality varied by service-areas, indicators, facility level, and districts, however, with a remarkable improvement over the years.Conclusion: There are high variations and improvements in the tool utilisation and data accuracy at facility and district levels. The routine HMIS is weak and data at district level inaccurately reflects what is available at the HFs. These results highlight the need to design tailored and inter-service strategies for improving data quality.

The Academic MIS Model Used in Higher Education to Resolve Typical Problems in Indonesia

2012 ◽  
Vol 4 (1) ◽  
pp. 67-82 ◽  
Author(s):  
Veronica S. Moertini ◽  
Tety Yuliaty ◽  
Wisnu Rumono ◽  
Buddy S. Tjhia
Keyword(s):  
Higher Education ◽  
Information System ◽  
Quality Assurance ◽  
Best Practices ◽  
Management Information System ◽  
Integrated Management ◽  
Management Information ◽  
Catholic University ◽  
Proposed Model

In response to education regulations for quality assurance (QA), universities in Indonesia strongly require an integrated management information system (MIS), such as Academic MIS (AMIS). In developing AMIS, the main issues that must be addressed are the urgent need for implementing university QA standards (even though departments have already implemented their best practices for years and show reluctance to change), changing requirements, and the need for a quick delivery system despite the fact that AMIS is very large in scope. This paper contributes to modeling AMIS, which is suitable for universities in Indonesia. This research has been conducted at one of the best private universities, Parahyangan Catholic University. Having measured the quality of AMIS using several key business measures, results indicated that the proposed model successfully resolved the issues at stake.

Predictors of electronic health management information system for improving the quality of care for women and people with disabilities

2020 ◽  
pp. 026666692094714
Author(s):  
Edda Tandi Lwoga ◽  
Raphael Zozimus Sangeda ◽  
Restituta Mushi
Keyword(s):  
Information System ◽  
Quality Of Care ◽  
Management Information System ◽  
User Satisfaction ◽  
Health Workers ◽  
People With Disabilities ◽  
Health Management Information System ◽  
Management Information ◽  
Factors Influencing

The electronic Hospital management Information System (eHMIS) can improve care for vulnerable patients, help collect important disability and maternal health data, and improve the hospital’s overall data management. This study assessed the use of HMIS and factors influencing the usage and behavioral intentions to use the eHMIS at the Comprehensive Community Based Rehabilitation in Tanzania (CCBRT). We investigated both clinical and non-clinical staff (n=69) using tablets and online surveys, with a rate of return of 71.9%. The ICT staff were also interviewed to supplement data from the survey. The survey questionnaire was guided by the updated Information System Success (ISS) model. Most health workers (81.2%) used the eHMIS several times a day to support different decision-making activities. The better educated personnel were more likely to enter data more effectively into eHMIS as compared to their counterparts. Among six predictors, self-efficacy positively influenced self-reported use and user satisfaction of HMIS, while service quality negatively affected self-reported use of eHMIS. The system quality positively influenced health workers to be satisfied with the eHMIS, and user satisfaction positively influenced continued usage intention of the eHMIS. Both user satisfaction and continued usage intention were positively related to individual impact of eHMIS. Individual impact had positive effects on organizational impact of eHMIS. This is a comprehensive study conducted in Tanzania regarding the implementation of eHMIS, and factors influencing post-adoptive use of HMIS to improve quality of care of women and people with disabilities.

scholarly journals Quality assurance of health management information system in Kayunga district, Uganda

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Harriet R. Kagoya ◽  
Dan Kibuule
Keyword(s):  
Health Care ◽  
Information System ◽  
Quality Assurance ◽  
Management Information System ◽  
Health Management ◽  
Care Delivery ◽  
Public Health Care ◽  
Health Management Information System ◽  
Management Information

Background: An efficient health management information system (HMIS) improves health care delivery and outcomes. However, in most rural settings in Uganda, paper-based HMIS are widely used to monitor public health care services. Moreover, there are limited capabilities and capacity for quality HMIS in remote settings such as Kayunga district.Objectives: The quality assurance practices of HMIS in health centres (HCs) in Kayunga district were evaluated.Method: A cross-sectional descriptive study design was used to assess the quality of HMIS at 21 HCs in Kayunga district. Data were collected through in-depth interviews of HMIS focal persons as well as document analysis of HMIS records and guidelines between 15 June 2010 and 15 July 2010. The main outcomes were quality assurance practices, the HMIS programmatic challenges and opportunities. The practice of HMIS was assessed against a scale for good quality assurance practices. Qualitative data were coded and thematically analysed, whereas quantitative data were analysed by descriptive statistics using SPSS v22 software.Results: All the 21 HCs had manual paper-based HMIS. Less than 25% of HCs practised quality assurance measures during collection, compilation, analysis and dissemination of HMIS data. More than 50% of HCs were not practising any type of quality assurance during analysis and dissemination of data. The main challenges of the HMIS were the laborious and tedious manual system, the difficulty to archive and retrieve records, insufficient HMIS forms and difficulty in delivering hard copies of reports to relevant stakeholders influenced quality of data. Human resource challenges included understaffing where 43% of participating HCs did not have a designated HMIS staff.Conclusion: The HMIS quality assurance practices in Kayunga were suboptimal. Training and support supervision of HMIS focal persons is required to strengthen quality assurance of HMIS. Implementation of electronic HMIS dashboards with data quality checks should be integrated alongside the manual system.

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