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http://hdl.handle.net/123456789/1120
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| Title: | An automated system for patient record management: a case study of St. Francis Hospital Nsambya |
| Authors: | Droma, Fahad
Bulyaba, Hanifa
Ssebwato, Joseph
Nakawooya, Kubra
Musah, K. Candellah
Ongoro, Doreen Anyango
Suuna, Collins
Ndege, Richard |
| Keywords: | Information management system
Records management
Hospital records
Uganda |
| Issue Date: | Jun-2009 |
| Publisher: | Makerere University |
| Series/Report no.: | IM020-09 |
| Abstract: | Patient record management systems in hospital today necessitate a competent administration when handling patients, generating reports from cashier, patient details which serves as a key factor for the flow of business transactions in St Francis Hospital Nsambya. Unfortunately the current Record management system leads to misplacement of drug details, payment details, and late release of reports and insecurity to records. This research project is aimed at computerizing all the records about patients, staff and drug suppliers. In order to achieve this goal, a thorough System Study and investigation was carried out and data was collected and analyzed about the current system using document and data flow diagrams. The concept of report production has been computerized hence, no more delay in report generation to the hospital manager. Errors made on hand held calculators are dealt out completely The method used to develop the system include iterative waterfall model approach, dataflow, logical and entity relationship diagram were used to design the system and finally the language used were MySql, php, HTML, Css and JavaScript. |
| Description: | A project report submitted to the Faculty of Computing and Information Technology in partial fulfilment of the requirement for the award of the Degree of Bachelor of Information Technology of Makerere University. |
| URI: | http://hdl.handle.net/123456789/1120 |
| Appears in Collections: | Theses & Dissertations (CIT)
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Files in This Item:
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Size | Format |
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| droma-fahad-cit-bachelor-group-project.pdf | | 853Kb | Adobe PDF | View/Open |
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