Abstract
Treatment planning and treatment improvement for cleft lip and cleft palate patients need an accurate treatment estimation and treatment integration from several medical personals such as surgeons, orthodontists, and specialists. Thus, the patient data include different kinds of symptom and recorded data, including. long-term treatment, which can be complex and hard to understand. In order to search, monitor, and analyze these patient data, an effective approach is highly necessary. In this paper, a conceptual framework that facilitates the development of an information retrieval and searching suggestion for the electronic health record (EHR) is proposed, using the cleft lip and cleft palate as a case study. Specifically, it provides an essential mechanism that enables the information retrieval healthcare service to address the challenge of the accurate treatment estimation and collaboration from multidisciplinary team for developers and then build into the corresponding services.
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Acknowledgments
This work was supported by the Center of Data Analytics and Knowledge Synthesis for Healthcare, Chiang Mai University, Thailand, as well as CMU Craniofacial Center, Thailand.
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Harnsamut, N., Suwanparsert, B., Boonma, P., Sitthikamtiub, W., Khwanngern, K., Natwichai, J. (2018). A Conceptual Framework for Developing an Information Retrieval for Healthcare Services. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_49
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DOI: https://doi.org/10.1007/978-3-319-69835-9_49
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