JP7046499B2 - 医用情報処理装置及び医用情報処理方法 - Google Patents
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Description
図1は、第1の実施形態に係る医用情報処理装置の構成例を示す図である。
なお、上述した実施形態では、特定機能153が、操作者によって指定された範囲に基づいて、分析対象となる原因と関連する関連原因を特定する場合の例を説明したが、実施形態はこれに限られない。
また、上述した実施形態では、予測機能154が、改善策の候補それぞれについて、バリアンスとの相関の強さを表す相関値の変化量に基づいて効果を予測する場合の例を説明したが、実施形態はこれに限られない。
150 処理回路
151 取得機能
152 抽出機能
153 特定機能
154 予測機能
155 表示制御機能
Claims (10)
- クリニカルパスに沿って実施された診療行為に関するデータ及び前記クリニカルパスで発生したバリアンスに関するデータを取得する取得部と、
前記診療行為に関するデータ及び前記バリアンスに関するデータに基づいて、特定のバリアンスと原因との相関を表す情報を抽出する抽出部と、
抽出された前記情報に基づいて、分析対象となる原因と関連する関連原因を特定する特定部と、
前記関連原因を改善策の候補とし、前記改善策の候補それぞれについて、各候補と前記特定のバリアンスとの相関の強さを表す相関値と、前記分析対象となる原因と前記特定のバリアンスとの相関の強さを表す相関値との間の変化量を算出し、算出された相関値の変化量に基づいて、当該改善策の候補の効果を予測する予測部と
を備える、医用情報処理装置。 - 前記抽出部は、前記情報として、前記特定のバリアンスと原因との相関の強さを表す情報を抽出する、
請求項1に記載の医用情報処理装置。 - 前記特定部は、前記情報に含まれる原因の中から、前記分析対象となる原因と診療行為の内容が類似する原因を前記関連原因として特定する、
請求項2に記載の医用情報処理装置。 - 前記診療行為の内容は、診療行為の実施日、診療行為の種類、及び、診療行為を実施した患者の属性のうちの少なくとも一つである、
請求項3に記載の医用情報処理装置。 - 前記特定部は、前記情報に含まれる原因の数及び分布の少なくとも一方に基づいて、前記関連原因を特定する際の条件を設定する、
請求項3又は4に記載の医用情報処理装置。 - 前記予測部は、前記相関値の変化量が大きいほど、前記効果が高いと予測する、
請求項1~5のいずれか一つに記載の医用情報処理装置。 - 前記予測部は、前記改善策の候補それぞれについて、各候補に関するコストと、前記分析対象となる原因に関するコストとの間の変化量をさらに算出し、算出されたコストの変化量及び前記相関値の変化量に基づいて、前記効果を予測する、
請求項1~6のいずれか一つに記載の医用情報処理装置。 - 前記予測部は、
前記コストの変化量が正の値である場合は、当該変化量が小さいほど、前記効果が高いと予測し、
前記コストの変化量が負の値である場合は、当該変化量が大きいほど、前記効果が高いと予測する、
請求項7に記載の医用情報処理装置。 - 前記改善策の候補それぞれについて、前記効果を表す情報をディスプレイに表示する表示制御部をさらに備える、
請求項1~8のいずれか一つに記載の医用情報処理装置。 - 取得部が、クリニカルパスに沿って実施された診療行為に関するデータ及び前記クリニカルパスで発生したバリアンスに関するデータを取得するステップと、
抽出部が、前記診療行為に関するデータ及び前記バリアンスに関するデータに基づいて、特定のバリアンスと原因との相関を表す情報を抽出するステップと、
特定部が、抽出された前記情報に基づいて、分析対象となる原因と関連する関連原因を特定するステップと、
予測部が、前記関連原因を改善策の候補とし、前記改善策の候補それぞれについて、各候補と前記特定のバリアンスとの相関の強さを表す相関値と、前記分析対象となる原因と前記特定のバリアンスとの相関の強さを表す相関値との間の変化量を算出し、算出された相関値の変化量に基づいて、当該改善策の候補の効果を予測するステップと
を含む、医用情報処理方法。
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US15/956,398 US20180330822A1 (en) | 2017-04-18 | 2018-04-18 | Medical information processing device and medical information processing method |
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Citations (4)
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JP2005165513A (ja) | 2003-12-01 | 2005-06-23 | Olympus Corp | 病院情報システム |
JP2007108814A (ja) | 2005-10-11 | 2007-04-26 | Hitachi Ltd | バリアンス分析システム |
JP2008210077A (ja) | 2007-02-26 | 2008-09-11 | Sanyo Electric Co Ltd | 診療支援装置におけるテンプレート作成方法およびテンプレート作成プログラム |
JP2011100368A (ja) | 2009-11-09 | 2011-05-19 | Hitachi Ltd | クリニカルパス改善案提示システム |
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WO2009103156A1 (en) * | 2008-02-20 | 2009-08-27 | Mcmaster University | Expert system for determining patient treatment response |
US10650920B2 (en) * | 2012-08-16 | 2020-05-12 | Ginger.io, Inc. | Method and system for improving care determination |
US10483003B1 (en) * | 2013-08-12 | 2019-11-19 | Cerner Innovation, Inc. | Dynamically determining risk of clinical condition |
US20170154157A1 (en) * | 2014-07-08 | 2017-06-01 | Fronteo, Inc. | Data analysis device, control method for data analysis device, and control program for data analysis device |
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Patent Citations (4)
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JP2005165513A (ja) | 2003-12-01 | 2005-06-23 | Olympus Corp | 病院情報システム |
JP2007108814A (ja) | 2005-10-11 | 2007-04-26 | Hitachi Ltd | バリアンス分析システム |
JP2008210077A (ja) | 2007-02-26 | 2008-09-11 | Sanyo Electric Co Ltd | 診療支援装置におけるテンプレート作成方法およびテンプレート作成プログラム |
JP2011100368A (ja) | 2009-11-09 | 2011-05-19 | Hitachi Ltd | クリニカルパス改善案提示システム |
Non-Patent Citations (4)
Title |
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中島直樹 ほか,電子カルテと連携するアウトカム志向型電子パスの事例,映像情報メディカル,第41巻,第5号,日本,産業開発機構株式会社,2009年05月10日,p.494-499 |
副島秀久,クリニカルパスと医療の質管理,(株)日科技研:JUSEパッケージ活用事例シンポジウム第14回,日本,(株)日科技研,2005年02月03日,https://www.i-juse.co.jp/statistics/xdata/sympo14_soejima_slide.pdf |
勝尾信一,バリアンス分析総論,日本医療マネジメント学会誌,第7巻,第3号,日本,2006年12月01日,p.395-399 |
若田 好史,電子クリニカルパスにおけるオールバリアンス解析,第32回医療情報学連合大会論文集 (第13回日本医療情報学会学術大会) 医療情報学 第32回,2012年11月14日,pp.62-65 |
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