Research on the smartphone based ehealth systems for strengthing healthcare organization

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Abstract

Data collection is the primary prerequisite in health sector whenever an organization craving to fortify and improve its health system. In early phases of expansion and advancement in health sector data collection was paper based, which repel in analysis on daily basis because of gigantic data is available on daily basis and manual calculation and analysis is not possible. So for removing that encumbrance of analysis the manual paper based data collection is then entered into health MIS system which help a lot in analysis purpose. But that was not as faster in development and analysis phase which help analytical analysis of trends of Diseases, Equipment’s, Vaccines and punctuality of Staff of health organization also the problems of developing countries cannot afford MIS systems in rural areas thus there is a need of solution to tackle information collection and timely analysis with submissions. In this paper, the concept of Smartphone based healthcare strengthen system is shared which will reduce the burden of data collection also speed up the process of data analysis and reduce the burden. Paper work can be reduce and no need of punching the data in some health MIS system. Smart phone application also gives the concept how the monitoring staff performance and healthcare organization regularity and punctuality can be analyzed. Complete this system is developed using open source frameworks and developed application is used on smartphones having android OS. Project is implemented in Pakistan and is being used successfully in 24 districts and this project brought a drastic change in the organization in the decision making process and also for improving the poor healthcare indicators.

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APA

Bhatti, U. A., Huang, M., Zhang, Y., & Feng, W. (2017). Research on the smartphone based ehealth systems for strengthing healthcare organization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10219 LNCS, pp. 91–101). Springer Verlag. https://doi.org/10.1007/978-3-319-59858-1_9

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