Case of Kenyatta National Hospital

Submitted in partial fulfillment of the requirements for the Degree of Master of Science in Information TechnologyRequirements Elicitation (RE) is about learning and understanding the needs of users and stakeholders with the aim of communicating these needs to the system developers. Requirements Elicitation is an important stage in Information Systems development (ISD), and has substantial impact on software costs.RE has remained a key topic of interest for researchers and they have stated that a large number of Information Systems development (ISD) projects fail resulting in high costs to organizations. One of the reasons that these projects fail is the inability of the Information System to precisely satisfy user 's requirements which is a result of inaccurate and incomplete requirements collected in the Requirements Elicitation (RE) stage. Considering the importance of the RE stage in information systems development projects , this stage therefore becomes a critical area for IS research. This research focused on the process of RE in the development of the Heath Management Information Systems (HMIS) in Kenyatta National Hospital. Using data collected from the developers and users in the hospital the study presents a Requirements Elicitation Process model for Health Management Information systems. The results showed that the greatest challenge in the RE process was communication and the study suggests requirements prototyping to solve communication challenges. The implementation was conducted in Kenyatta national Hospital 's Comprehensive care centre. In conclusion the study elaborates a RE model that incorporates communication and requirements prototyping as key elements in the model

A requirements elicitation process model for health management information systems: case of Kenyatta National Hospital

Abstract onlyRequirements Elicitation (RE) is about learning and understanding the needs of users and stakeholders with the aim of communicating these needs to the system developers. Requirements Elicitation is an important stage in Information Systems development (ISD), and has substantial impact on software costs.RE has remained a key topic of interest for researchers and they have stated that a large number of Information Systems development (ISD) projects fail resulting in high costs to organizations. One of the reasons that these projects fail is the inability of the Information System to precisely satisfy user 's requirements which is a result of inaccurate and incomplete requirements collected in the Requirements Elicitation (RE) stage. Considering the importance of the RE stage in information systems development projects , this stage therefore becomes a critical area for IS research. This research focused on the process of RE in the development of the Heath Management Information Systems (HMIS) in Kenyatta National Hospital. Using data collected from the developers and users in the hospital the study presents a Requirements Elicitation Process model for Health Management Information systems. The results showed that the greatest challenge in the RE process was communication and the study suggests requirements prototyping to solve communication challenges. The implementation was conducted in Kenyatta national Hospital 's Comprehensive care centre. In conclusion the study elaborates a RE model that incorporates communication and requirements prototyping as key elements in the model.Requirements Elicitation (RE) is about learning and understanding the needs of users and stakeholders with the aim of communicating these needs to the system developers. Requirements Elicitation is an important stage in Information Systems development (ISD), and has substantial impact on software costs.RE has remained a key topic of interest for researchers and they have stated that a large number of Information Systems development (ISD) projects fail resulting in high costs to organizations. One of the reasons that these projects fail is the inability of the Information System to precisely satisfy user 's requirements which is a result of inaccurate and incomplete requirements collected in the Requirements Elicitation (RE) stage. Considering the importance of the RE stage in information systems development projects , this stage therefore becomes a critical area for IS research. This research focused on the process of RE in the development of the Heath Management Information Systems (HMIS) in Kenyatta National Hospital. Using data collected from the developers and users in the hospital the study presents a Requirements Elicitation Process model for Health Management Information systems. The results showed that the greatest challenge in the RE process was communication and the study suggests requirements prototyping to solve communication challenges. The implementation was conducted in Kenyatta national Hospital 's Comprehensive care centre. In conclusion the study elaborates a RE model that incorporates communication and requirements prototyping as key elements in the model

Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya—the national data warehouse project

Abstract Background Aggregate electronic data repositories and population-level cross-sectional surveys play a critical role in HIV programme monitoring and surveillance for data-driven decision-making. However, these data sources have inherent limitations including inability to respond to public health priorities in real-time and to longitudinally follow up clients for ascertainment of long-term outcomes. Electronic medical records (EMRs) have tremendous potential to bridge these gaps when harnessed into a centralised data repository. We describe the evolution of EMRs and the development of a centralised national data warehouse (NDW) repository. Further, we describe the distribution and representativeness of data from the NDW and explore its potential for population-level surveillance of HIV testing, care and treatment in Kenya. Main body Health information systems in Kenya have evolved from simple paper records to web-based EMRs with features that support data transmission to the NDW. The NDW design includes four layers: data warehouse application programming interface (DWAPI), central staging, integration service, and data visualization application. The number of health facilities uploading individual-level data to the NDW increased from 666 in 2016 to 1,516 in 2020, covering 41 of 47 counties in Kenya. By the end of 2020, the NDW hosted longitudinal data from 1,928,458 individuals ever started on antiretroviral therapy (ART). In 2020, there were 936,869 individuals who were active on ART in the NDW, compared to 1,219,276 individuals on ART reported in the aggregate-level Kenya Health Information System (KHIS), suggesting 77% coverage. The proportional distribution of individuals on ART by counties in the NDW was consistent with that from KHIS, suggesting representativeness and generalizability at the population level. Conclusion The NDW presents opportunities for individual-level HIV programme monitoring and surveillance because of its longitudinal design and its ability to respond to public health priorities in real-time. A comparison with estimates from KHIS demonstrates that the NDW has high coverage and that the data maybe representative and generalizable at the population-level. The NDW is therefore a unique and complementary resource for HIV programme monitoring and surveillance with potential to strengthen timely data driven decision-making towards HIV epidemic control in Kenya. Database link ( https://dwh.nascop.org/ )