@article{oai:kyutech.repo.nii.ac.jp:00005739,
 author = {磯田, 達也 and Isoda, Tatsuya and Inoue, Sozo and 井上, 創造 and Hanazawa, Akitoshi and 花沢, 明俊 and 野原, 康伸 and Nohara, Yasunobu and 白水, 麻子 and Shirouzu, Mako and 杉山, 康彦 and Sugiyama, Yasuhiko and 平田, 真理 and Hirata, Mari and 町田, 京子 and Machida, Kyoko and 中島, 直樹 and Nakashima, Naoki},
 issue = {10},
 journal = {情報処理学会論文誌, IPSJ Journal},
 month = {Oct},
 note = {本研究では，看護師の業務分析のため，33日間にわたり看護師の業務行動データを収集する実験を行い，業務中の看護師の行動の激しさおよび，業務時間に影響を与える要因について分析を行った．データ収集実験では，38人の看護師を被験者に設定して，装着型の小型センサ端末を装着した状態で業務を行ってもらい，加速度データおよび看護師間の対面情報，看護師業務情報を収集した．また，赤外線を用いた情報通信機器によって看護師の位置情報も同時に収集した．本稿では，看護師業務中の行動の激しさを目的変数，看護師業務ごとの回数，対面回数，場所ごとの訪問回数などを説明変数に設定して，決定木（回帰木）を用いた要因分析を行った．その結果，他の看護師との対面回数が多く，病室に何度も訪れている看護師や，リハビリ介助業務や行動介助業務などの患者の介助に関わる業務を行う看護師ほど，行動の激しさが大きくなるという結果を得た．また，業務時間が業務効率に直結していると考え，各業務時間の長さに影響を及ぼす要因について回帰分析によって調べた．その後，単回帰分析により有意水準5%で有意となった説明変数の業務だけを抽出し，その業務に対して決定木を用いた要因分析を行った．単回帰分析の結果，14の業務において有意な結果が得られた．また，決定木による要因分析の結果，ほとんどの業務において他の看護師との対面人数が業務時間に影響を与えていることが分かった．また，食事介助業務中に特定の場所に訪れる看護師ほど業務時間が長くなるという結果を得た．, In this study, in order to analyze duties of the nurses, we performed experiments to collect the duties activity data of the nurses for a long term. We set 38 nurses as subjects and asked them to carry out duties while attaching a wearable small sensor device, and collected the acceleration data, meeting information between nurses and the nurse duties information. In addition, we collected the location information of the nurses by using infrared information and communication equipment at the same time. In this paper, we set a intensity of activity during the nurse work as a purpose variable, and carried out the factor analysis using a decision tree (regression tree) by explanation variables such as the number of times of every nurse duty, the number of meeting times, and the number of places. As the result, we found that intensity of the activity increases in such nurses as who has many times of meeting with other nurses, visits the patient room many times, or who works on jobs concerning with the assistance of the patients such as rehabilitation assistance duties or the activity assistance duties. Moreover, we believe that the duties hours are directly connected to the operational efficiency and we examined by single regression analysis of the factors affecting the length of each duties hours. Then, we extracted only explanation variables of the duties which became significant at the 5% significance level by a single regression analysis and we carried out the factor analysis using a decision tree for the duties. As a result of regression analysis, 14 duties were significant. In addition, as a result of factors analysis by decision tree, we found that face-to-face number of the other nurses affects the duties hours in the most duties. Also, the result showed that duty hours is longer to visit a specific place during meal assistances.},
 pages = {2197--2209},
 title = {携帯センサと近接センサを用いた看護師業務分析},
 volume = {57},
 year = {2016},
 yomi = {イノウエ, ソウゾウ and ハナザワ, アキトシ}
}