Papers by Md. Haiatun Nabi
outpatient management system with smart queue processing and e-prescription, 2018
Traditionally outpatient hospital faces various problems and difficulties due to a manual system ... more Traditionally outpatient hospital faces various problems and difficulties due to a manual system like keeping patient history, filing and other factors that affect the interest of an individual patient. To overcome these issues, we have designed and developed an outpatient management system with smart queue processing and e-prescription. The main objectives of the project are, to design and develop a web-based outpatient management system for the efficient management of outpatients of the hospital, and to develop a smart queue processing
system to inform patients about their tentative waiting time. Though the application is built specially for an eye hospital, it can be used in any hospital with minimum customization.
We have studied various kinds of the literature of relevant software. After reviewing literature we have found limitations in many relevant software. Our study revealed that many of the software being used in hospitals are not online based and there are no built-in smart queue processing systems in most of the existing software. We have also found that many of the software that we have studied do not have built-in e-prescription system. This study motivated us to develop the proposed system to overcome these limitations.
In order to collect and analyze the requirements, we have visited the stakeholders of this proposed system. We have prepared the questionnaire to know their requirement. After that, we have started working to develop software to work out the specific solution for the created questionnaire. In order to develop our project, we have used the Incremental Model as the methodology. The reason for using this model as the project methodology, the whole requirement is divided into various builds in the model. Since our software will be developed in different versions or build. So, we have followed every step of this model to complete our software development. In order to meet our initial objectives, we have designed and developed a web-based outpatient management system, and also developed a smart queue processing system and an
e-prescription system. The system is yet to be deployed and only beta testing has been done. The beta testing result is satisfactory to deploy the system.
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Papers by Md. Haiatun Nabi
system to inform patients about their tentative waiting time. Though the application is built specially for an eye hospital, it can be used in any hospital with minimum customization.
We have studied various kinds of the literature of relevant software. After reviewing literature we have found limitations in many relevant software. Our study revealed that many of the software being used in hospitals are not online based and there are no built-in smart queue processing systems in most of the existing software. We have also found that many of the software that we have studied do not have built-in e-prescription system. This study motivated us to develop the proposed system to overcome these limitations.
In order to collect and analyze the requirements, we have visited the stakeholders of this proposed system. We have prepared the questionnaire to know their requirement. After that, we have started working to develop software to work out the specific solution for the created questionnaire. In order to develop our project, we have used the Incremental Model as the methodology. The reason for using this model as the project methodology, the whole requirement is divided into various builds in the model. Since our software will be developed in different versions or build. So, we have followed every step of this model to complete our software development. In order to meet our initial objectives, we have designed and developed a web-based outpatient management system, and also developed a smart queue processing system and an
e-prescription system. The system is yet to be deployed and only beta testing has been done. The beta testing result is satisfactory to deploy the system.
system to inform patients about their tentative waiting time. Though the application is built specially for an eye hospital, it can be used in any hospital with minimum customization.
We have studied various kinds of the literature of relevant software. After reviewing literature we have found limitations in many relevant software. Our study revealed that many of the software being used in hospitals are not online based and there are no built-in smart queue processing systems in most of the existing software. We have also found that many of the software that we have studied do not have built-in e-prescription system. This study motivated us to develop the proposed system to overcome these limitations.
In order to collect and analyze the requirements, we have visited the stakeholders of this proposed system. We have prepared the questionnaire to know their requirement. After that, we have started working to develop software to work out the specific solution for the created questionnaire. In order to develop our project, we have used the Incremental Model as the methodology. The reason for using this model as the project methodology, the whole requirement is divided into various builds in the model. Since our software will be developed in different versions or build. So, we have followed every step of this model to complete our software development. In order to meet our initial objectives, we have designed and developed a web-based outpatient management system, and also developed a smart queue processing system and an
e-prescription system. The system is yet to be deployed and only beta testing has been done. The beta testing result is satisfactory to deploy the system.