Discussion  

“How is data science related to the field of medical informatics?”

Module 3: Lectures & ReadingsLecturesHealthcare Data, Information, and Knowledge (PPT) Download Healthcare Data, Information, and Knowledge (PPT)Standards and Interoperability (PPT) Download Standards and Interoperability (PPT)Healthcare Data Analytics (PPT) Download Healthcare Data Analytics (PPT)Introduction to Data Science (PPT) Download Introduction to Data Science (PPT)ReadingsTextbook Chapters2: Healthcare Data, Information, and Knowledge5: Standards and Interoperability (pgs. 114-126)7: Healthcare Data Analytics22: Introduction to Data ScienceAll readings listed below are available full-text from the UNT Libraries’ electronic databases unless indicated otherwise. The name of the specific electronic database where you can find the full-text is provided in parentheses.Batko, K., & ?l?zak, A. (2022).  The use of Big Data Analytics in healthcareLinks to an external site.. Journal of Big Data, 9(1), 3.https://doi.org/10.1186/s40537-021-00553-4Dammann, O. (2018;2019;). Data, information, evidence, and knowledge: A proposal for health informatics and data scienceLinks to an external site.. Online Journal of Public Health Informatics, 10(3), e224. doi:10.5210/ojphi.v10i3.9631 de Quirós, F. G. B., Otero, C., & Luna, D. (2018). Terminology services: Standard terminologies to control health vocabulary. Yearbook of Medical Informatics. (Thieme-Connect)Monselise, M., Greenberg, J., Liang, O. S., Pascua, S., Kim, H., Kelly, M., Boone, J. P., & Yang, C. C. (2020;2021;). An automatic approach to extending the consumer health vocabulary. Journal of Data and Information Science (Warsaw, Poland), 6(1), 35-49. https://doi.org/10.2478/jdis-2021-0003 (Library and Information Science Source)Richesson, R. L. (2020;2021;). Learning health systems, embedded research, and data standards-recommendations for healthcare system leadersLinks to an external site.. JAMIA Open, 3(4), 488-491. https://doi.org/10.1093/jamiaopen/ooaa046Schmidt, B., Colvin, C. J., Hohlfeld, A., & Leon, N. (2020). Definitions, components and processes of data harmonisation in healthcare: A scoping review. BMC Medical Informatics and Decision Making, 20(1), 222-222. doi:10.1186/s12911-020-01218-7 (ProQuest)Shahzad, S. K., Ahmed, D., Naqvi, M. R., Mushtaq, M. T., Iqbal, M. W., & Munir, F. (2021). Ontology driven smart health service integration. Computer Methods and Programs in Biomedicine, 207, 106146-106146. https://doi.org/10.1016/j.cmpb.2021.106146 (ScienceDirect)Vilar, S., Friedman, C., & Hripcsak, G. (2018). Detection of drug–drug interactions through data mining studies using clinical sources, scientific literature and social media. Briefings in Bioinformatics, 19(5), 863–877. https://doi.org/10.1093/bib/bbx010 (EBSCOhost)Zheng, F., Shi, J., Yang, Y., Zheng, W. J., & Cui, L. (2020). A transformation-based method for auditing the IS-A hierarchy of biomedical terminologies in the Unified Medical Language SystemLinks to an external site.. Journal of the American Medical Informatics Association : JAMIA,27(10), 1568–1575. https://doi.org/10.1093/jamia/ocaa123  

Module 4: Lectures & ReadingsLecturesDownload Evidence-based Medicine and Clinical Practice GuidelinesInformation Retrieval from Medical Knowledge Resources Download Information Retrieval from Medical Knowledge ResourcesReadingsTextbook Chapters14: Evidence-based Medicine and Clinical Practice Guidelines15: Information Retrieval from Medical Knowledge ResourcesAll readings listed below are available full-text from the UNT Libraries’ electronic databases unless indicated otherwise. The name of the specific electronic database where you can find the full-text is provided in parentheses.Chan, T., Trueger, N. S., Roland, D., & Thoma, B. (2018). Evidence-based medicine in the era of social media: Scholarly engagement through participation and online interaction. Canadian Journal of Emergency Medicine, 20(1), 3-8. (CambridgeCore)Chi, S., Tsai, Y., Fang, T., Tung, T., & Chi, C. (2021). Evidence-searching capability among health care professionals: A comparative study. BMC Medical Education, 21(1), 134-134. https://doi.org/10.1186/s12909-021-02565-3 (ProQuest)Daei, A., Soleymani, M. R., Ashrafi?rizi, H., Kelishadi, R., & Zargham?Boroujeni, A. (2021). Personal, technical and organisational factors affect whether physicians seek answers to clinical questions during patient care: A literature review. Health Information and Libraries Journal, 38(2), 81-96. https://doi.org/10.1111/hir.12323 (Wiley Online Library)Garritty, C., Stevens, A., Hamel, C., Golfam, M., Hutton, B., & Wolfe, D. (2019). Knowledge synthesis in evidence-based medicine. Seminars in Nuclear Medicine, 49(2), 136-144. doi:10.1053/j.semnuclmed.2018.11.006 (ScienceDirect)Hertzum, M., & Simonsen, J. (2019). How is professionals’ information seeking shaped by workplace procedures? A study of healthcare clinicians. Information Processing and Management, 56(3), 624-636. doi:10.1016/j.ipm.2019.01.001 (ScienceDirect)Ioannidis, J. P. A., & Khoury, M. J. (2018). Evidence-based medicine and big genomic data. Human Molecular Genetics, 27(R1), R2-R7. (Oxford Academic)Jia, X., Pang, Y., & Liu, L. S. (2021). Online health information seeking behavior: A systematic review. Healthcare (Basel), 9(12), 1740. https://doi.org/10.3390/healthcare9121740 (ProQuest)Klawitter, E., & Hargittai, E. (2018). “I Went Home to Google”: How users assess the credibility of online health information. In eHealth: Current Evidence, Promises, Perils and Future Directions (pp. 11-41). Emerald Publishing Limited. (EmeraldInsight)Tamine, L., & Goeuriot, L. (2022;2021;). Semantic information retrieval on medical texts: Research challenges, survey, and open issues. ACM Computing Surveys, 54(7), 1-38. https://doi.org/10.1145/3462476 (ACM Digital Library)Xu, B., Lin, H., & Lin, Y. (2019;2018;). Learning to refine expansion terms for biomedical information retrieval using semantic resources. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(3), 954-966. doi:10.1109/TCBB.2018.2801303 (IEEE Xplore Digital Library)