篇名

醫療訴訟紛爭判決自動特徵標記系統──使醫療裁判預測成為可能【本期企劃】   免費試閱

並列篇名

Medical Litigation Dispute Automatic Labeling System-Enabling Medical Referee Predictions

中文摘要

使用人工智慧相關技術結合法律領域之相關研究,比如說由機器協助撰寫法律文件,或是預測可能的判決結果,這些做法在國外已有若干嘗試,而近年來我國亦有學者專家嘗試建將資訊科學導入司法裁判或法學研究。一般咸認,定有「客觀標準」將有助於調解或「接受」司法結果;尤其在「醫療糾紛」中,醫病雙方多為雙輸局面,醫療法實證研究,乃至「人工智慧醫療裁判預測」可能有益雙方。本研究兼採「法律、醫療、資訊」跨領域視角,使用「正則表達式」設計機器模型,研究目標為替代專家閱讀,自動化將一份由文字建構的判決書轉化為機器所能接收的數據,並實際呈現目前之研究成果與限制。此將節省大量的專家工作時數,並作為建構醫療判決預測系統的第一步,開啟人工智慧醫療判決預測的可能性。

英文摘要

There have been some attempts to use artificial intelligence related technologies on legal industries, such as machine-assisted legal documents writing or prediction of verdict results. In legal academic community, domestic scholars and experts have also tried to integrate information science into judicial adjudication. It is time and efforts consuming to solve a medical dispute through litigation, hence often bringing both patients and physicians huge burdens. Empirical research on medical litigations can provide parties with possible results in the court in the past, which may promote mediation or settlements and reduce litigation. This research adopts cross-disciplinary perspectives from law, medicine, and information science, and uses ’’regular expressions’’ to design machine models. The research goal is to automatically extract meaningful information from judgments and labeling them without human efforts. This system can save a lot of working hours of experts. In the future, when the full texts of the judgment are entered, the data can be automatically extracted to update the system, so that a timely artificial intelligence judgment database can be established.

起訖頁

035-046

出版單位
DOI

10.53106/241553062022060068003  複製DOI  DOI查詢

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