Survey Model-Model Pencarian Informasi Rekam Medik Elektronik

Authors

  • Muhammad Mustakim Teknik Informatika UIN Sunan Kalijaga
  • Retantyo Wardoyo Departemen Ilmu Komputer dan Elektronika Universitas Gadjah Mada

DOI:

https://doi.org/10.14421/jiska.2019.33-01

Abstract

Pertumbuhan jumlah data rekam medik yang pesat, menjadi masalah tersediri yang harus diantisipasi. Untuk menangani fenomena information overload dalam informasi rekam medis,  perlu studi yang mendalam untuk dapat mengembangkan model filtering informasi rekam medik yang secara efektif mendukung peningkatan kualitas rekomendasi proses pencarian informasi. Berbagai penelitian terkait pencarian informasi medis telah banyak dilakukan, diantaranya mengembangkan penelitian dengan konsentrasi pada kebaruan dan keberagaman, menggunakan fuzzy ontology, berbasis factor tensor, memepertimbangkan niatan/intention pengguna ketika melakukan pencarian serta pendekatan dengan menggabungkan pencarian berbasis frasa dengan alat pemetaan konsep yang ada menggunakan MetaMap dan sumber data ULMS Metathesaurus.

References

Besbes, G., 2016, Fuzzy Ontology-based Medical Information Retrieval, 178–185,

Cesar, J., Paulo, S., Bonacin, R., Archer, C.T.I.R. dan Paulo, S., 2016, Intention-based Information Retrieval of Electronic Health Records, 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, [Online] tersedia di DOI:10.1109/WETICE.2016.56.

El-Bathy, N., Azar, G., El-Bathy, M. dan Stein, G., 2011, Intelligent information retrieval lifecycle architecture based clustering genetic algorithm using SOA for modern medical industries, IEEE International Conference on Electro Information Technology, [Online] tersedia di DOI:10.1109/EIT.2011.5978565.

Goeuriot, L., Jones, G.J.F., Kelly, L., Müller, H. dan Zobel, J., 2016, Medical information retrieval: introduction to the special issue, Information Retrieval, [Online] 19 (1–2), 1–5, tersedia di DOI:10.1007/s10791-015-9277-8.

Herman RB, Sukarya WS, Rasmin M, Soebono H, Yuniadi Y, Soemitro D, dkk., 2012, Standar pendidikan profesi dokter, KONSIL KEDOKTERAN INDONESIA.

Hliaoutakis, A., Varelas, G. dan Petrakis, E.G.M., n.d., MedSearch : A Retrieval System for Medical Information Based on Semantic Similarity, Computer Engineering, 2–5,

Kang, Y., Li, J., Yang, J., Wang, Q. dan Sun, Z., 2017, Semantic Analysis for Enhanced Medical Retrieval, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC),

Li, J., Liu, C., Liu, B., Mao, R., Wang, Y., Chen, S., Yang, J.J., Pan, H. dan Wang, Q., 2015, Diversity-aware retrieval of medical records, Computers in Industry, [Online] 6981–91, tersedia di DOI:10.1016/j.compind.2014.09.004.

Nie, J. dan Shen, W., 2015, Flexible Concept Matching for Medical Information Retrieval, [Online] tersedia di DOI:10.1109/SMC.2015.332.

Quintana, Y., 1998, Intelligent medical information filtering, International Journal of Medical Informatics, [Online] 51 (2–3), 197–204, tersedia di DOI:10.1016/S1386-5056(98)00115-4.

Tierney, M.J., Pageler, N.M., Kahana, M., Pantaleoni, J.L. dan Longhurst, C.A., 2013, Medical Education in the Electronic Medical Record (EMR) Era, Academic Medicine, [Online] 88 (6), 748–752, tersedia di DOI:10.1097/ACM.0b013e3182905ceb.

Wang, H., Zhang, Q. dan Yuan, J., 2017, Semantically Enhanced Medical Information Retrieval System : A Tensor Factorization Based Approach, 5,

Zhang, Y., He, Z., Yang, J.J., Wang, Q. dan Li, J., 2017, Re-Structuring and Specific Similarity Computation of Electronic Medical Records, Proceedings - International Computer Software and Applications Conference, [Online] 2230–235, tersedia di DOI:10.1109/COMPSAC.2017.200.

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Published

2019-08-30

How to Cite

Mustakim, M., & Wardoyo, R. (2019). Survey Model-Model Pencarian Informasi Rekam Medik Elektronik. JISKA (Jurnal Informatika Sunan Kalijaga), 3(3), 132–144. https://doi.org/10.14421/jiska.2019.33-01