JP2015121913A - Childbirth time prediction software - Google Patents

Childbirth time prediction software Download PDF

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JP2015121913A
JP2015121913A JP2013264912A JP2013264912A JP2015121913A JP 2015121913 A JP2015121913 A JP 2015121913A JP 2013264912 A JP2013264912 A JP 2013264912A JP 2013264912 A JP2013264912 A JP 2013264912A JP 2015121913 A JP2015121913 A JP 2015121913A
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childbirth
degree
delivery
delivery time
time prediction
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弥恵子 稲葉
Yaeko Inaba
弥恵子 稲葉
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Abstract

PROBLEM TO BE SOLVED: To provide an interactive nursing support system for informing a user of childbirth time prediction by applying a childbirth time prediction suitable for Japanese.SOLUTION: Using a spreadsheet function, "an opening degree of uterine os" and "a lowering degree of a fetus" are inputted as numerical values. In doing so, with the use of a flow control statement in which processing is branched depending on a value of a conditional expression, through interactive procedures, a message such as prediction of "after how many hours childbirth starts", "after how many hours internal examination is needed" and "preparation for childbirth is needed" for a primipara woman and a parous woman is displayed as a variable on a message box for reference.

Description

本発明は、電子カルテ端末やタブレット式端末で使用可能な、日本人の平均分娩時間の予測を、ユーザに教授するためのソフトウェアに関するものである。     The present invention relates to software for teaching a user how to predict the average delivery time of a Japanese person that can be used on an electronic medical record terminal or a tablet terminal.

電子カルテで用いられる診療記録や看護記録には、主にワードプロセッサー機能とデータベース機能を使用していることが一般的である。医療現場は人手不足で非常に厳しい環境だが、特に、一番訴訟が多い分娩を抱える産科では、一人の医師や助産師・看護師が、複数の患者や妊産褥婦を診察・看護しながら、同時に陣痛発来した産婦を同時進行的に観察している。分娩は病気では無いため無事に出産して当たり前であるが、時として事故に繋がっていく。頭脳労働は大量に記憶・計算できるコンピュータの計算機能に任せれば、時間的余裕が出来て、医療事故を防ぐことに繋がる。コンピュータの計算機能を用いて、分娩時間を計算させれば、医師や助産師・看護師が教科書や参考書を秘かに参照して分娩時間の予測をしながら、業務を遂行しないで済むようになる。
Generally, the word processor function and the database function are mainly used for medical records and nursing records used in electronic medical records. In the obstetrics department where labor is the most litigated, especially in the obstetrics where labor is the most litigated, one doctor, midwife, and nurse examine and nursing multiple patients and pregnant widows. At the same time, I am observing the mothers who have labor pains. Since childbirth is not a disease, it is natural to give birth safely, but it sometimes leads to accidents. If brain work is left to computer functions that can store and calculate a large amount of time, there will be enough time to prevent medical accidents. By using the computer's calculation function to calculate the delivery time, doctors, midwives and nurses can avoid the work while predicting the delivery time by secretly referring to textbooks and reference books. Become.

特開2002−245578JP2002-245578

特開2013−137678JP2013-137678A

最近は、人件費や事務費が膨大し、産科単科での運営が困難となり、混合病棟や産科病棟閉鎖となる医療施設が増えて来た。この事は、助産師が他科の患者の看護をしながら、分娩を控えた産婦の看護を行っている現実や、産科に不慣れな看護師が、産科の看護を行う機会が増えたこと、そして一人の助産師や看護師に掛る負担が大きくなってきたことで、医療事故が起こる頻度が増え、産科離れに拍車が掛っている。
医療事故で一番訴訟が多いのが分娩に関する業務であり、他の患者を診察・看護している間に、分娩を控えた産婦が墜落分娩(医師や助産師・看護師の居ない時に分娩)してしまうという事故を起すことがある。これを防止するには、産婦の側に付き切りで看護していれば良いが、現実問題として、多くの業務や患者を抱えていては、産婦に付き切りで多くの業務は処理出来ないことがある。
そこで、分娩を控えた産婦を内診した際に、必ず子宮口の開大度(子宮の口の開き具合)と児頭の下降度(子宮内の胎児の頭の下がり具合)を診断するので、これらの値から、日本人の平均分娩時間の統計処理を実施・応用してコンピュータに分娩時間の予測を計算させることにより、誰も居ない場所で教科書を開き、フリードマンという外国人が、50年以上前に予測した平均分娩時間を参考にして、分娩時間の予測をする手間を削減するソフトウェア。
Recently, labor costs and administrative costs have become enormous, making it difficult to operate the obstetrics department, and an increasing number of medical facilities have been closed for mixed wards and obstetric wards. This is due to the fact that midwives are nursing maternity women who are refraining from delivery while nursing patients in other departments, and that there are more opportunities for nurses unfamiliar with obstetrics to practice obstetrics, As the burden on a midwife and nurse has increased, the frequency of medical accidents has increased, which has spurred the separation of obstetrics.
The most common lawsuit for medical accidents is work related to parturition. While examining and nursing other patients, maternity who refrained from parturition falls (partitioning when there is no doctor, midwife, or nurse) ) May cause an accident. In order to prevent this, it is only necessary to care for the maternity side, but as a matter of fact, if you have a lot of work and patients, you can not handle many work with the maternity. There is.
Therefore, when we examine a pregnant woman who refrains from giving birth, we always diagnose the degree of opening of the uterine ostium (the degree of opening of the uterine mouth) and the degree of lowering of the head of the child (the degree of dropping of the fetal head in the uterus) Based on these values, statistical processing of the average delivery time for Japanese people is carried out and applied to allow the computer to calculate the prediction of delivery time, so that textbooks can be opened in places where no one is present, and a foreigner named Friedman has been working for 50 years. Software that reduces the labor of predicting the delivery time with reference to the average delivery time predicted previously.

本発明は、医師や助産師が分娩進行時に、経過記録を電子カルテに記録する際に、従来適用されているワードプロセッサー機能から画面を切り替えることによって、表計算機能を使用して、『子宮口開大度』と『胎児の下降度』を数値で入力した際に、条件式の値によって処理の分岐を行うフロー制御ステートメントを用いて、対話型プロシージャでメッセージボックスに変数として、初産婦(初めて出産する産婦)と経産婦(出産経験のある産婦)の『何時間後に分娩に至るか』の予測と『何時間後に内診が必要』『分娩準備が必要』等の表示を返させ、それを参照することによって、誰も居ない場所で教科書や参考書を開いてフリードマン曲線を参考にする手間を削減する。
日本人の平均分娩時間を、統計処理した物を応用して、プログラミングすることにより、日本人の平均分娩時間を予測させることが出来、分娩業務と平行しながらの他の業務を、医療従事者が自身で調節して、必要に応じて、分娩に業務を集中させる時期を、判断する指標として使用し、いくつもの業務を抱えた医療従事者が、墜落分娩などの事故場面に、遭遇することを未然に防ぐための、対話型教育ソフトウェア。
The present invention uses a spreadsheet function by switching the screen from a word processor function that has been applied in the past when a doctor or midwife records a progress record in an electronic medical record during the progress of labor. When a numerical value is entered for `` Greatness '' and `` Fetal descent '', using a flow control statement that branches the processing according to the value of the conditional expression, the first mother (for the first time giving birth as a variable in a message box in an interactive procedure) Return the indications of “How many hours later will deliver the baby” and “How many hours later need a medical checkup” and “Preparation for childbirth”, etc., and refer to it By doing this, the textbooks and reference books can be opened in places where no one is present, and the effort to refer to the Friedman curve can be reduced.
By applying statistically processed products to the average delivery time of the Japanese, the average delivery time of the Japanese can be predicted, and other work in parallel with the delivery work can be performed by medical professionals. As an index to judge when the work adjusts itself and concentrate the work on delivery as necessary, health care workers who have several duties encounter accident scenes such as fall and labor Interactive educational software to prevent the problem.

フリードマン曲線は、あくまでも参考にするための値であり、50年前の外国人の平均値なので、現在の日本人との分娩時間差があり、医師や助産師の判断に依るところが大きい事は、専門教育を受けて認識している者が多いと考える。日本人の平均分娩時間ではないため、参考とならないことが多い。そこで、日本人の平均分娩時間を正常分娩の場合のデータを初産婦・経産婦それぞれ500例程度集めて、子宮口開大度と児頭の下降度から分娩所要時間の統計処理をし、子宮口の開大度と児頭の下降度を入力すれば分娩時間の予測をメッセージボックスで表示して返して来るので、即座に参考に出来るため、教科書を見るために席を離れずに済む。
また、それは経験の浅い医師や助産師でも『子宮口開大度』と『胎児の下降度』を数値で入力することによって『日本人は何時間後に分娩に至るか』の予測と『何時間後に内診が必要』『分娩準備が必要』等の表示をメッセージボックスに変数で表示し返してくるので、参考にしながら他の業務を遂行できる。
さらには、看護師が分娩予測の表示を確認することによって、他の患者の看護の最中に、分娩室に急遽呼ばれて、分娩室での看護業務に取り掛からないといけない時、分娩予測を確認できることで『何時間後に分娩になる』と事前に知ることができるため、時間に余裕を持って分娩準備を手伝うことや、分娩室での業務に移行する指標にすることができるので、いちいち医師・助産師に『分娩時間は、いつ頃ですか?』と質問しなくても、看護師が分娩記録の数値を入力することで、分娩予測時間を知ることが可能となり、情報交換の手間が省ける等、時間削減の効果や、業務の円滑化が期待できる。
The Friedman curve is only a reference value and is an average value for foreigners 50 years ago, so there is a difference in the delivery time from the current Japanese, and it depends largely on the judgment of doctors and midwives. I think there are many people who are educated and aware. Since it is not the average delivery time for Japanese people, it is often not helpful. Therefore, we collected approximately 500 cases of average delivery time for Japanese in the case of normal delivery for each primary and multipartum, and statistically processed the time required for delivery based on the degree of openness of the uterine ostium and the degree of lowering of the head of the uterus. If you input the degree of opening and the descending degree of the head of the child, the predicted delivery time will be displayed in a message box and returned, so you can refer to it immediately, so you do not have to leave your seat to see the textbook.
Also, even inexperienced doctors and midwives enter the numerical values for the degree of openness of the uterine ostium and the degree of fetal descent, and predict the number of hours a Japanese will deliver. Since messages such as “Need internal examination later” and “Preparation for labor” are displayed in the message box as variables, other tasks can be performed with reference.
Furthermore, by confirming the display of the delivery prediction, the nurse will be called to the delivery room suddenly during the nursing of other patients, and the delivery prediction will be made when he / she needs to start nursing work in the delivery room. Since it can be known in advance that “it will be parturition” after confirmation, it can be used as an index to help prepare for delivery with sufficient time and to shift to work in the delivery room. “When is the delivery time? Even if you do not ask, the nurse can know the estimated delivery time by inputting the numerical value of the delivery record, saving time and exchanging information, etc. I can expect.

図1は子宮口開大度と児頭下降度を入力した時の表示である。FIG. 1 is a display when the opening degree of the uterine ostium and the lowering degree of the head of the head are input. 図2は子宮口開大度と児頭下降度を入力し、予測ボタンを押した時のメッセージボックスの表示である。FIG. 2 shows a message box displayed when the opening degree of the uterine ostium and the head descending degree are input and the prediction button is pressed. 図3は稲葉式分娩予測の数値入力後の分娩時間予測表示である。FIG. 3 is a delivery time prediction display after numerical input of the Inaba type delivery prediction. 図4は通常、参考にされているフリードマン分娩曲線である。FIG. 4 is a Friedman parturition curve usually referred to. 図5は、稲葉式分娩曲線のプログラミングである。FIG. 5 is a programming of the Inaba type delivery curve. 図6は、インスリンスライディングスケールのための血糖値入力状態である。FIG. 6 shows a blood glucose level input state for the insulin sliding scale. 図7は、インスリン量の表示である。FIG. 7 is a display of the amount of insulin.

電子カルテに『稲葉式分娩予測』ソフトウェアをインストールする。電子カルテには携帯用端末機が子機として使用されるので、図1および図2は、電子カルテにインストールして使用し、計算させ表示したものである。               Installed “Inaba-style delivery prediction” software in the electronic medical record. Since a portable terminal is used as a slave unit in the electronic medical chart, FIGS. 1 and 2 are installed and used in the electronic medical chart, and are calculated and displayed.

電子カルテとは別に、携帯用タブレット端末にインストールする。上記と同様に、図1、図2のように計算させ表示する。               Installed on a portable tablet device, separate from the electronic medical record. Similar to the above, calculation and display are performed as shown in FIGS.

図1は経過記録に入力された医師や助産師の経過記録の数値を参考にして、看護師が入力したCCは子宮口開大度と、SPは胎児児頭の下降度。                     Figure 1 refers to the doctor's and midwife's progress records entered in the progress record. The CC entered by the nurse is the degree of openness of the uterine ostium, and SP is the degree of fetal head descent.

図2は経過記録に入力された医師や助産師の経過記録の数値を参考にして、看護師が入力したCCは子宮口開大度と、SPは胎児児頭の下降度と分娩時間予測         Figure 2 shows the numerical values of the doctor and midwife's progress records entered in the progress record. The CC entered by the nurse is the degree of uterine ostia, and SP is the degree of fetal head descent and delivery time prediction.

病気やウイルスや薬剤名は年々増加して行くので、大量に記憶力が必要な業務を少しでも軽減させられるように、症状などの文字列を入力すると、対応する病気をプログラミングすることによってメッセージボックスに変数としてメッセージを返すことができるので、症状に応じた疾患名を網羅でき誤診を防ぐために活用できる、対話型診断システムのソフトウェアを作成することが可能である。また、症状や病名に応じた診断や看護を提供する対話型診断・看護支援システムのソフトウェアを作成することが可能となる。                       Since the names of diseases, viruses, and drugs increase year by year, if you enter a character string such as a symptom so that you can reduce the work that requires a lot of memory even a little, you can program the corresponding disease in the message box Since messages can be returned as variables, it is possible to create interactive diagnostic system software that can cover disease names according to symptoms and can be used to prevent misdiagnosis. It is also possible to create interactive diagnosis / nursing support system software that provides diagnosis and nursing according to symptoms and disease names.

各診療科目の診療記録や看護記録で、人間の記憶に納まりきらない分量の検査データや薬剤分量、バイタルサイン(血圧・体温・脈拍・呼吸等、生命徴候)の数値を入力すると異常値をプログラミングすることでメッセージボックスに変数としてメッセージを返すことができるので、異常の早期発見や危険を知らせることが出来るため、人対人の業務を行う時間が増え、情報収集や援助が充分に行なえる。                       Programming abnormal values by entering test data, drug quantities, and vital signs (blood pressure, body temperature, pulse, respiration, vital signs) that do not fit in human memory in the medical records and nursing records of each clinical subject By doing so, it is possible to return a message as a variable to the message box, so that early detection of anomalies and notification of dangers can be made, so that the time for carrying out a person-to-person operation increases and information collection and assistance can be sufficiently performed.

血糖値に対するインスリン量。症状に対する難病疾患名など                       Insulin amount relative to blood glucose level. Intractable disease names for symptoms, etc.

1 CCとは子宮の口がcm開大しているかを示す産科用語。
2 子宮口が何cm開大しているという入力した数値の表示。
3 Stとは胎児の児頭が下降しているかを示す産科用語。
4 胎児児頭が何cm下降しているという数値の表示。
5 予測ボタンを押して、マクロを実行させる。実行前の状態。
6 予測ボタンを押すと、計算させるマクロ機能が働く。
7 初産婦と経産婦の分娩時間を、メッセージ表示させた状態の例。
8 分娩時間を予測するために参照されてきた、外国の産婦の統計学的分娩予測時間を示した、フリードマン分娩曲線。
9 プログラムの一部。
10 血糖値の数値
11 予測ボタン
12 インスリンの種類と、注射指示単位数の表示
1 CC is an obstetric term indicating whether the mouth of the uterus is wide.
2 Display of the entered numerical value indicating how many centimeters of uterine ostium are open.
3 St is an obstetric term indicating whether the fetal head is descending.
4 A numerical display indicating how many cm the fetal head is descending.
5 Press the prediction button to execute the macro. The state before execution.
6 Pressing the prediction button activates the macro function to calculate.
7 An example of a message display showing the delivery time of the first-time and multiparous women.
8 Friedman's parturition curve showing the statistical parturition expectation time of foreign mothers, which has been referenced to predict parturition time.
9 Part of the program.
10 Blood glucose levels
11 Prediction button
12 Display of insulin type and number of injection instruction units

Claims (2)

日本人に適応する分娩予測時間を統計学的に応用した分娩時間の予測を、条件式の値によって処理の分岐を行うフロー制御ステートメントをプログラミングすることにより、対話型プロシージャでメッセージボックスに初産婦(初めて出産する産婦)と経産婦(出産経験のある産婦)の『何時間後に分娩に至るか』の予測と『何時間後に内診が必要』『分娩準備が必要』等の表示を返す対話型教育ソフトウェア。             By programming a flow control statement that branches the processing according to the value of the conditional expression, predicting the delivery time by statistically applying the expected delivery time adapted to the Japanese, the first mother ( Interactive educational software that returns predictions such as “How many hours later will lead to parturition” and “How many hours later need a medical examination” and “Preparation for parturition”, etc. . 少なくとも1のモジュールは、子宮口の開大度と胎児の頭の下降度に応答するための制御を提供する請求項1に記載の対話型教育ソフトウェア。
The interactive educational software of claim 1, wherein at least one module provides control for responding to uterine ostia opening and fetal head descent.
JP2013264912A 2013-12-24 2013-12-24 Childbirth time prediction software Pending JP2015121913A (en)

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JP2009538175A (en) * 2006-05-24 2009-11-05 ソク ヤン,ユン Childbirth control system and control method thereof
JP2012199783A (en) * 2011-03-22 2012-10-18 Nec Casio Mobile Communications Ltd Portable terminal, childbirth preparation supporting system, childbirth preparation supporting method

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Publication number Priority date Publication date Assignee Title
JP2007532170A (en) * 2004-04-07 2007-11-15 バーネフ リミテッド Status-based childbirth monitoring system
JP2006277424A (en) * 2005-03-30 2006-10-12 Sysmex Corp Analysis system, data processor, measurement device and application program
JP2009538175A (en) * 2006-05-24 2009-11-05 ソク ヤン,ユン Childbirth control system and control method thereof
JP2012199783A (en) * 2011-03-22 2012-10-18 Nec Casio Mobile Communications Ltd Portable terminal, childbirth preparation supporting system, childbirth preparation supporting method

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Title
原 量宏 KAZUHIRO HARA: "コンピュータと産婦人科診療", 産科と婦人科 VOL.59 NO.11 OBSTET. GYNECOL., vol. 第59巻, JPN6018003229, 1 November 1992 (1992-11-01), JP, pages 1647 - 1656, ISSN: 0003848189 *

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Marin et al. Model Checking the Properties of an Electronic Healthcare System to Facilitate the Detection of Preeclampsia through a Smart Bracelet
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Cheng et al. Reducing primary cesarean delivery rate through implementation of a smart intrapartum surveillance system
Magloire et al. Unexpected Allies: Obstetrician Activism, VBACs, and the Birth Justice Movement
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Assifuah Knowledge and utilisation of partograph by Midwives in public health facilities in the Cape Coast Metropolis
Demestre Late preterm, the “forgotten” infants: a personal perspective
Koerber et al. Risk and vulnerable, medicalized bodies
Aditya et al. Review and design of a midwife prenatal kit for examinations in developing regions
Mbye et al. Perceptions of midwife support during labour and delivery in Gambia
Morley Antiepileptic drug management during pregnancy: A shared decision approach

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