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A Conceptual Framework for Developing an Information Retrieval for Healthcare Services

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Book cover Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 13))

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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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Authors and Affiliations

  1. Data Engineering and Network Technology Laboratory, Computer Engineering Department, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Nattapon Harnsamut, Bun Suwanparsert, Pruet Boonma & Juggapong Natwichai

  2. CMU Craniofacial Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

    Watcharaporn Sitthikamtiub & Krit Khwanngern

  3. Center of Data Analytics and Knowledge Synthesis for Healthcare, Chiang Mai University, Chiang Mai, Thailand

    Pruet Boonma, Watcharaporn Sitthikamtiub, Krit Khwanngern & Juggapong Natwichai

Authors
  1. Nattapon Harnsamut
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  2. Bun Suwanparsert
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  3. Pruet Boonma
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  4. Watcharaporn Sitthikamtiub
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  5. Krit Khwanngern
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  6. Juggapong Natwichai
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Corresponding author

Correspondence to Pruet Boonma .

Editor information

Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Open University of Catalonia, Barcelona, Spain

    Santi Caballé

  3. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

  • eBook Packages: EngineeringEngineering (R0)

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