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\u91cd\u8981\u306a\u30dd\u30a4\u30f3\u30c8\uff1a<\/strong><\/h2>\n\u00a0 <\/p>\n
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\n- \u691c\u67fb\u5ba4\u306fDiagnostics 4.0\u306e\u4e2d\u6838\u3092\u62c5\u3044\u3001\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u3001AI\u3001\u30af\u30e9\u30a6\u30c9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u7d71\u5408\u3059\u308b\u3053\u3068\u3067\u3001\u60a3\u8005\u4e2d\u5fc3\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u8a3a\u65ad\u3092\u5b9f\u73fe\u3057\u307e\u3059\u3002\u3053\u306e\u9032\u5316\u306f\u3001\u81e8\u5e8a\u533b\u30fb\u691c\u67fb\u5ba4\u30fb\u60a3\u8005\u9593\u306e\u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u5f37\u5316\u3057\u3001\u3088\u308a\u30b9\u30de\u30fc\u30c8\u3067\u3001\u3088\u308a\u8fc5\u901f\u3067\u3001\u3088\u308a\u500b\u5225\u5316\u3055\u308c\u305f\u533b\u7642\u3078\u306e\u9053\u3092\u958b\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
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\u53c2\u8003\u6587\u732e<\/em> <\/p>\n[1] <\/a>Lewandrowski, K.B., Makar, R.S. & Dighe, A.S., 2007. \u81e8\u5e8a\u691c\u67fb\u533b\u5b66\u306b\u304a\u3051\u308b\u6cd5\u7684\u8cac\u4efb\u3002Seminars in diagnostic pathology, <\/em>24(2), pp. 98-107.
\n[2] <\/a>Intelligence, M., n.d. Digital Health Market – Growth, Trends, COVID-19 Impact, and Forecasts (2024 – 2030).<\/em>[\u30aa\u30f3\u30e9\u30a4\u30f3]\u5165\u624b\u5148\uff1a https:\/\/www.mordorintelligence.com\/industry-reports\/digital-health-market<\/u> [\u30a2\u30af\u30bb\u30b9\uff1a2025\u5e742\u670818\u65e5]
\n[3]<\/a> Tim\u00f3teo,M.et al., 2021. Digital Management Systems in Academic Health Sciences Laboratories: A Scoping Review.Healthcare<\/em>, 9(6), p. 739, https:\/\/doi.org\/10.3390\/healthcare9060739.
\n[4] <\/a>Vandendorpe, Justine, et al. \u300cTen Simple Rules for Implementing Electronic Lab Notebooks (ELNs)\u300dPLOS Computational Biology<\/em>, vol. 20, no. 6, 2024, p. e1012170, https:\/\/doi.org\/10.1371\/journal.pcbi.1012170.
\n[5]<\/a> Machina, Hari K., and David J.Wild\uff09\u3002\u201cLaboratory Informatics Tools Integration Strategies for Drug Discovery.\u201dJournal of Laboratory Automation<\/em>,2012,https:\/\/doi.org\/10.1177\/2211068212454852.
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\n[8]<\/a>Alliance, P., 2024. Lab of the Future Survey Results 2024. <\/em>[\u30aa\u30f3\u30e9\u30a4\u30f3]\u5165\u624b\u5148\uff1a https:\/\/marketing.pistoiaalliance.org\/hubfs\/Lab%20Of%20The%20Future%20Reports\/Lab%20Of%20The%20Future%20Survey%20Results%202024%20.pdf<\/u> [\u30a2\u30af\u30bb\u30b9\u65e5\u6642\uff1a2025\u5e742\u670818\u65e5]
\n[9]<\/a> Ialongo, Cristiano, et al. \u300cTotal Automation for the Core Laboratory: Improving the Turnaround Time Helps to Reduce the Volume of Ordered STAT Tests.\u300dSLAS Technology<\/em>, vol.21, no.3, 2016, pp.451-458, https:\/\/doi.org\/10.1177\/2211068215581488.
\n[10]<\/a> Lu, J., Fan, W., Huang, Z.et al. Automatic system for high-throughput and high-sensitivity diagnosis of SARS-CoV-2. Bioprocess Biosyst Eng<\/em> 45, 503-514 (2022). https:\/\/doi.org\/10.1007\/s00449-021-02674-9
\n[11]<\/a> Da Rin G.Pre-analytical workstations: a tool for reducing laboratory errors.Clin Chim Acta.<\/em>2009;404(1):68-74. doi:10.1016\/j.cca.2009.03.024
\n[12]<\/a> South, Susan F., et al. \u201cExponential Error Reduction in Pretransfusion Testing with Automation.\u201dTransfusion<\/em>, vol.52, no.8, 2012, pp.81S-87S, https:\/\/doi.org\/10.1111\/j.1537-2995.2012.03816.x.
\n[13]<\/a>\u00a0Passwater,M.et al., 2022 Adding Automation and Independent Dual Verification to Reduce Wrong Blood in Tube (WBIT) Events.American Journal of Clinical Pathology<\/em>, 158(2), pp. 212-215. doi:10.1093\/ajcp\/aqac031
\n[14]<\/a> Huang, Wenjie, et al. \u201cClinical Application of Intelligent Technologies and Integration in Medical Laboratories.\u201dILABMED<\/em>, vol. 1, no. 1, 2023, pp. 82-91, https:\/\/doi.org\/10.1002\/ila2.9
\n[15]<\/a> Neumaier M., \u201cDiagnostics 4.0: the medical laboratory in digital health.\u201dClinical Chemistry and Laboratory Medicine (CCLM). <\/em>\u00a02019;57(3):343-348. doi:10.1515\/cclm-2018-1088<\/p>\n","protected":false},"excerpt":{"rendered":"\u306f\u3058\u3081\u306b 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IoMT\uff08Internet of Medical Things\uff09\u3068IoLT\uff08Internet of Laboratory Things\uff09 IoMT\uff08Internet of Medical Things\uff09\u304a\u3088\u3073 IoLT\uff08Internet of Laboratory 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4. \u79d1\u5b66\u7684\u30c7\u30fc\u30bf\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\uff08SDMS\uff09 SDMS 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- \u81ea\u52d5\u5316\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u6240\u8981\u6642\u9593\u3092\u77ed\u7e2e\u3057\u3001\u30a8\u30e9\u30fc\u3092\u6700\u5c0f\u5316\u3057\u3001\u691c\u67fb\u5ba4\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u6700\u9069\u5316\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u691c\u67fb\u5c02\u9580\u5bb6\u306f\u65e5\u5e38\u7684\u306a\u30bf\u30b9\u30af\u3067\u306f\u306a\u304f\u8907\u96d1\u306a\u8a3a\u65ad\u306b\u96c6\u4e2d\u3067\u304d\u3001\u5168\u4f53\u7684\u306a\u751f\u7523\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
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- \u691c\u67fb\u5ba4\u306fDiagnostics 4.0\u306e\u4e2d\u6838\u3092\u62c5\u3044\u3001\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u3001AI\u3001\u30af\u30e9\u30a6\u30c9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u7d71\u5408\u3059\u308b\u3053\u3068\u3067\u3001\u60a3\u8005\u4e2d\u5fc3\u306e\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u8a3a\u65ad\u3092\u5b9f\u73fe\u3057\u307e\u3059\u3002\u3053\u306e\u9032\u5316\u306f\u3001\u81e8\u5e8a\u533b\u30fb\u691c\u67fb\u5ba4\u30fb\u60a3\u8005\u9593\u306e\u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u5f37\u5316\u3057\u3001\u3088\u308a\u30b9\u30de\u30fc\u30c8\u3067\u3001\u3088\u308a\u8fc5\u901f\u3067\u3001\u3088\u308a\u500b\u5225\u5316\u3055\u308c\u305f\u533b\u7642\u3078\u306e\u9053\u3092\u958b\u304d\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n
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\u53c2\u8003\u6587\u732e<\/em> <\/p>\n
[1] <\/a>Lewandrowski, K.B., Makar, R.S. & Dighe, A.S., 2007. \u81e8\u5e8a\u691c\u67fb\u533b\u5b66\u306b\u304a\u3051\u308b\u6cd5\u7684\u8cac\u4efb\u3002Seminars in diagnostic pathology, <\/em>24(2), pp. 98-107.
\n[2] <\/a>Intelligence, M., n.d. Digital Health Market – Growth, Trends, COVID-19 Impact, and Forecasts (2024 – 2030).<\/em>[\u30aa\u30f3\u30e9\u30a4\u30f3]\u5165\u624b\u5148\uff1a https:\/\/www.mordorintelligence.com\/industry-reports\/digital-health-market<\/u> [\u30a2\u30af\u30bb\u30b9\uff1a2025\u5e742\u670818\u65e5]
\n[3]<\/a> Tim\u00f3teo,M.et al., 2021. Digital Management Systems in Academic Health Sciences Laboratories: A Scoping Review.Healthcare<\/em>, 9(6), p. 739, https:\/\/doi.org\/10.3390\/healthcare9060739.
\n[4] <\/a>Vandendorpe, Justine, et al. \u300cTen Simple Rules for Implementing Electronic Lab Notebooks (ELNs)\u300dPLOS Computational Biology<\/em>, vol. 20, no. 6, 2024, p. e1012170, https:\/\/doi.org\/10.1371\/journal.pcbi.1012170.
\n[5]<\/a> Machina, Hari K., and David J.Wild\uff09\u3002\u201cLaboratory Informatics Tools Integration Strategies for Drug Discovery.\u201dJournal of Laboratory Automation<\/em>,2012,https:\/\/doi.org\/10.1177\/2211068212454852.
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\n[7]<\/a> Wen, X., Leng, P., Wang, J.et al.Clinlabomics: leveraging clinical laboratory data by data mining strategies.BMC Bioinformatics 23, 387 (2022). https:\/\/doi.org\/10.1186\/s12859-022-04926-1
\n[8]<\/a>Alliance, P., 2024. Lab of the Future Survey Results 2024. <\/em>[\u30aa\u30f3\u30e9\u30a4\u30f3]\u5165\u624b\u5148\uff1a https:\/\/marketing.pistoiaalliance.org\/hubfs\/Lab%20Of%20The%20Future%20Reports\/Lab%20Of%20The%20Future%20Survey%20Results%202024%20.pdf<\/u> [\u30a2\u30af\u30bb\u30b9\u65e5\u6642\uff1a2025\u5e742\u670818\u65e5]
\n[9]<\/a> Ialongo, Cristiano, et al. \u300cTotal Automation for the Core Laboratory: Improving the Turnaround Time Helps to Reduce the Volume of Ordered STAT Tests.\u300dSLAS Technology<\/em>, vol.21, no.3, 2016, pp.451-458, https:\/\/doi.org\/10.1177\/2211068215581488.
\n[10]<\/a> Lu, J., Fan, W., Huang, Z.et al. Automatic system for high-throughput and high-sensitivity diagnosis of SARS-CoV-2. Bioprocess Biosyst Eng<\/em> 45, 503-514 (2022). https:\/\/doi.org\/10.1007\/s00449-021-02674-9
\n[11]<\/a> Da Rin G.Pre-analytical workstations: a tool for reducing laboratory errors.Clin Chim Acta.<\/em>2009;404(1):68-74. doi:10.1016\/j.cca.2009.03.024
\n[12]<\/a> South, Susan F., et al. \u201cExponential Error Reduction in Pretransfusion Testing with Automation.\u201dTransfusion<\/em>, vol.52, no.8, 2012, pp.81S-87S, https:\/\/doi.org\/10.1111\/j.1537-2995.2012.03816.x.
\n[13]<\/a>\u00a0Passwater,M.et al., 2022 Adding Automation and Independent Dual Verification to Reduce Wrong Blood in Tube (WBIT) Events.American Journal of Clinical Pathology<\/em>, 158(2), pp. 212-215. doi:10.1093\/ajcp\/aqac031
\n[14]<\/a> Huang, Wenjie, et al. \u201cClinical Application of Intelligent Technologies and Integration in Medical Laboratories.\u201dILABMED<\/em>, vol. 1, no. 1, 2023, pp. 82-91, https:\/\/doi.org\/10.1002\/ila2.9
\n[15]<\/a> Neumaier M., \u201cDiagnostics 4.0: the medical laboratory in digital health.\u201dClinical Chemistry and Laboratory Medicine (CCLM). <\/em>\u00a02019;57(3):343-348. doi:10.1515\/cclm-2018-1088<\/p>\n","protected":false},"excerpt":{"rendered":"\u306f\u3058\u3081\u306b 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IoMT\uff08Internet of Medical Things\uff09\u3068IoLT\uff08Internet of Laboratory Things\uff09 IoMT\uff08Internet of Medical Things\uff09\u304a\u3088\u3073 IoLT\uff08Internet of Laboratory 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4. \u79d1\u5b66\u7684\u30c7\u30fc\u30bf\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\uff08SDMS\uff09 SDMS 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