TW201801055A - Medical diagnosis management education system and method thereof - Google Patents

Medical diagnosis management education system and method thereof Download PDF

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TW201801055A
TW201801055A TW105119434A TW105119434A TW201801055A TW 201801055 A TW201801055 A TW 201801055A TW 105119434 A TW105119434 A TW 105119434A TW 105119434 A TW105119434 A TW 105119434A TW 201801055 A TW201801055 A TW 201801055A
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operation interface
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TWI597699B (en
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蔡淳娟
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聯新亞洲醫學教育有限公司
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    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes

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Abstract

An interactive medical diagnosis management education system includes a user interface device, a database device, and a processor device. The database device stores one or many simulated patient (SP) data sets. The user interface device provides one of the SP data to the user interface device and receives a query/request message related to the SP data. The processor device retrieves from the database device a standard knowledge structure and a diagnosis strategy corresponding to how a professional's knowledge standard and conduct. The processor device makes comparison between the standard and data derived from user interaction with the SP data, and generates a review.

Description

醫學診療教育系統及方法 Medical diagnosis and treatment education system and method

本發明是關於一種醫學診療教育系統及其使用方法。具體而言,本發明是關於一種醫學診療教育系統及其使用方法,用於分析使用者關於診斷/處置之知識架構與解決問題策略,並提供評分與建議來促進使用者學習專家有效率而正確的診療模式。 The invention relates to a medical diagnosis and treatment education system and a using method thereof. Specifically, the present invention relates to a medical diagnosis and treatment education system and a method for using the same, for analyzing a user's knowledge framework of diagnosis / treatment and problem solving strategies, and providing scoring and suggestions to promote users to learn experts efficiently and correctly. Diagnosis and treatment mode.

診斷與治療是醫療人員的重要臨床能力,更是照護品質與病人安全的關鍵。診斷錯誤或診斷延誤幾乎都會對病人造成不良後果,向來是醫療糾紛之大宗議題。2014年the Parliamentary and Health Service Ombudsman(PHSO)報告,35%的醫療抱怨都與醫學診療相關。醫師從蒐集病史、進行各種檢查,到形成診斷的這過程,被認為是較困難而複雜的動態性任務(dynamic task),即所謂「思辨(reasoning)任務」;而由診斷至形成治療計畫與追蹤治療的部分,雖然屬靜態性任務(static task),較有規則可循,但是其處理失誤依然會造成病人的嚴重傷害。學員需要長年在指導下經歷眾多病例,爾後才能成為專家,獨立勝任此診療任務。因此,專家之臨床訓練養成頗耗費年歲,且經常付上慘痛代價。近年來,醫療知識伴隨科技之快速進展,使醫療行為變得複雜而更具風險,當病人安全與醫療品質備受重視之際,各界不再容許病人被當作教育練習之對象,於是年輕學 生接近病人的機會大減,又由於近年來醫療人力普遍不足,教師人力與監督指導時間減少,加上學生過勞,在使學習效果不彰,醫學教育於是面對極大的挑戰。 Diagnosis and treatment is an important clinical capability of medical personnel, and it is the key to the quality of care and patient safety. A diagnosis or delay in diagnosis will almost always have adverse consequences for the patient and has always been a major issue in medical disputes. In 2014, the Parliamentary and Health Service Ombudsman (PHSO) reported that 35% of medical complaints were related to medical diagnosis and treatment. The process of collecting medical history, conducting various examinations, and forming a diagnosis is considered to be a difficult and complex dynamic task, the so-called "reasoning task"; from diagnosis to the formation of a treatment plan Although the part of tracking and treatment is a static task, there are more rules to follow, but its processing errors will still cause serious injury to the patient. Trainees need to go through many cases under the guidance of many years before they can become experts and be qualified for this task independently. Therefore, the development of clinical training of experts is quite costly and often pays a painful price. In recent years, with the rapid progress of science and technology, medical knowledge has made medical behaviors more complicated and more risky. When patient safety and medical quality are being valued, people from all walks of life no longer allow patients to be the object of educational exercises. The chances of students approaching patients have been greatly reduced, and due to the general shortage of medical manpower in recent years, the manpower of teachers and supervision and guidance time has been reduced, and the overwork of students has made learning effects ineffective, so medical education is facing great challenges.

過去對醫學診療與治療的教育幾乎都以「疾病」為教學單元,將基礎醫學與臨床醫學分離,教導順序則先教正常的再教不正常的狀態,認為在接觸「疾病」以前,要先教完基礎醫學,而在整個醫學教完以後才去看病人。然而,學生在臨床上遇到的卻不是「疾病」,而是病人與其呈現之「症狀」,需運用基礎醫學知識解決病人問題,經長年臨床實作中反覆演練累積專家度。依據上述的傳統教導模式常造成學生興趣缺缺且學習效果不彰。 In the past, almost all education on medical diagnosis and treatment used "disease" as the teaching unit, separating basic medicine from clinical medicine, and teaching the order of normal and then the abnormal state. It is believed that before contacting "disease", After teaching basic medicine, visit the patient after teaching the whole medicine. However, what students encounter in clinical practice is not "disease", but patients and the "symptoms" they present. They need to use basic medical knowledge to solve patient problems. After years of clinical practice, they have repeatedly accumulated expert degrees. According to the traditional teaching mode mentioned above, students often lack interest and have poor learning effects.

本發明的一個目的在於提供一種醫學診療教育系統及使用方法,提供醫療人員在沒有壓力,沒有病人安危顧慮的狀況下,得到反覆練習的機會,讓學員有身歷其境實際動手演練的學習經驗。 An object of the present invention is to provide a medical diagnosis and treatment education system and a use method, which provide medical personnel with the opportunity of repeated practice without stress and without patient safety concerns, so that students have the learning experience of hands-on exercises in real life.

本發明的另一個目的在於提供一種醫學診療教育系統及方法,提供一種互動式教育體驗,提升學生的學習興趣及學習效果。 Another object of the present invention is to provide a medical diagnosis and treatment education system and method, provide an interactive education experience, and enhance students' learning interest and learning effect.

本發明的另一個目的在於提供一種醫學診療教育系統及使用方法,可分析並評量學生的診療效能,給予即時回饋,並藉此評分使學生認知與專家診斷或治療方式間的差異,而可以自我改善,產生自主學習的能力。 Another object of the present invention is to provide a medical diagnosis and treatment education system and use method, which can analyze and evaluate students 'diagnosis and treatment performance, give immediate feedback, and use this scoring to make the difference between students' cognition and expert diagnosis or treatment, so Self-improvement and the ability to learn autonomously.

本發明的醫學診療教育系統包含:資料庫裝置,儲存一或多 個模擬病人資料;操作介面裝置,經由一影像顯示模組提供該模擬病人資料,並且接收與該模擬病人資料有關聯之一提問指示訊息;資料處理裝置,從資料庫裝置取得與該模擬病人資料相關聯之一標準診斷資訊以供顯示於操作介面裝置上;其中,標準診斷資訊中具有一或多個類別區塊;當資料處理裝置從操作介面裝置接收一配對訊息時,且該配對訊息包含該提問指示訊息與該一或多個類別區塊的配對之訊息,資料處理裝置依據該配對訊息產生一評論訊息。 The medical diagnosis and treatment education system of the present invention includes: a database device that stores one or more Data of a simulated patient; operating an interface device to provide the simulated patient data through an image display module, and receiving a questioning instruction message associated with the simulated patient data; a data processing device that obtains data from the database device and the simulated patient data An associated standard diagnostic information for display on the operation interface device; wherein the standard diagnostic information has one or more category blocks; when the data processing device receives a pairing message from the operation interface device, and the pairing message includes The question indicating message is paired with the one or more category blocks, and the data processing device generates a comment message according to the paired message.

本發明的醫學診療教育系統之方法包含:(a)經由一操作介面裝置的一影像顯示模組,提供一模擬病人資料;(b)以操作介面裝置接收與該模擬病人資料有關聯之一提問指示訊息;(c)以一資料處理裝置從該資料庫裝置取得與該模擬病人資料相關聯之一標準診斷資訊並顯示於操作介面裝置的影像顯示模組,其中該標準診斷資訊中具有一或多個類別區塊;(d)以資料處理裝置從操作介面裝置接收一配對訊息,該配對訊息包含該提問指示訊息或該提問指示訊息與該一或多個類別區塊配對之訊息,該資料處理裝置依據該配對訊息產生一評論訊息。 The method of the medical diagnosis and treatment education system of the present invention includes: (a) providing a simulated patient data through an image display module of an operation interface device; (b) receiving an operation interface device to receive a question related to the simulated patient data Instruction information; (c) using a data processing device to obtain a standard diagnostic information associated with the simulated patient data from the database device and display the standard diagnostic information on an image display module of the operation interface device, wherein the standard diagnostic information has one or A plurality of category blocks; (d) receiving a pairing message from the operation interface device by a data processing device, the pairing message including the question instruction message or the question instruction message pairing with the one or more category blocks, the data The processing device generates a comment message according to the pairing message.

圖1A及1B為本發明醫學診療教育系統的一個實施例的示意圖;圖2為本發明醫學診療教育方法的一個流程圖;圖3A為操作介面裝置所顯示之一擬真情景之影像的示意圖;圖3B為操作介面裝置所顯示之另一影像畫面的示意圖;以及圖4為一標準的診斷架構流程的示意圖。 1A and 1B are schematic diagrams of an embodiment of the medical diagnosis and education system of the present invention; FIG. 2 is a flowchart of the medical diagnosis and education method of the present invention; FIG. 3A is a schematic diagram of an image of a realistic scene displayed by an operation interface device; FIG. 3B is a schematic diagram of another image screen displayed by the operation interface device; and FIG. 4 is a schematic diagram of a standard diagnosis architecture flow.

實證結果顯示,在醫療專家與生手間不只是腦海中知識量有差異,其「知識架構」也大不相同,並且運用不同的「疾病診斷策略」來解決臨床問題。以下分別介紹醫療領域「知識架構」與「疾病診斷策略」。 The empirical results show that there is not only a difference in the amount of knowledge in the mind between the medical expert and the novice, but also the "knowledge framework" is very different, and different "disease diagnosis strategies" are used to solve clinical problems. The following sections introduce the "knowledge framework" and "disease diagnosis strategy" in the medical field.

獲得的知識如何組織成合用的「知識架構」,決定將來應用於類似狀況的效率,這種「知識架構」,稱為knowledge representation,主要可將下列數種「知識架構」應用於醫療人員養成教育:(一)謂詞演算Predicate Calculus;(二)構成Frames;(三)語義網絡Semantic Networks;(四)三胞胎Triplets;(五)產生式規則Production Rules;(六)神經網Neural Networks。 How the acquired knowledge is organized into a combined "knowledge framework" determines the efficiency of similar situations in the future. This "knowledge framework", known as the knowledge representation, can be mainly applied to the following types of "knowledge framework" for medical staff education (1) Predicate Calculus; (2) Frames; (3) Semantic Networks; (4) Triplets; (5) Production Rules; (6) Neural Networks.

至於「疾病診斷策略」,傳統上以為專家為了得到正確診斷都會先在腦海中形成數個假想診斷(hypothesis),而依據這些假設來蒐集證據,做比較分析而得到最後的診斷,此種辨思模式稱為「假說演繹辯證法」(hypothetic-deductive reasoning,HDR),過去醫學教育界以此HDR思辨模式 來教導學生形成臨床診斷。然而,在1980年以後,學者就開始對這種HDR的辨思模式產生懷疑,因為研究發現專家所形成的假想診斷(hypothesis)與生手的決策品質迥然不同,專家其實常採用比HDR更有效率的思辨模式,來產生品質較佳的假想診斷(hypothesis)。專家一般採用「直覺性」與「分析性」兩種推理操作,直覺性思考是本能性及反射性的思考,可以是猜測,也可以是「辨識疾病型態Pattern recognition」;分析性思考則是基於科學、邏輯推理、因果關係、可能性、以做決策的過程,假設演繹辨思Hypothetical deductive reasoning及基模引導之辨思Scheme inductive reasoning(SIR)就屬於這一類。學生應該學習專家的這類辯證策略,但是至今尚未被有效應用於學員訓練。 As for the "disease diagnosis strategy", traditionally, in order to obtain a correct diagnosis, experts will first form a number of hypotheses in their minds. Based on these hypotheses, they will collect evidence and make a comparative analysis to obtain the final diagnosis. The model is called "hypothetic-deductive reasoning" (HDR), and it was used in the medical education field to think about this model. To teach students a clinical diagnosis. However, since 1980, scholars have begun to doubt this HDR mode of thinking, because research has found that the hypothesis formed by experts is very different from the quality of decision-making by experts. In fact, experts often use HDR more than HDR. Efficient speculative model to produce better quality hypothesis. Experts generally use two types of reasoning operations, "intuitive" and "analytic". Intuitive thinking is instinctual and reflective thinking, which can be guessing or "recognizing disease pattern recognition"; analytical thinking is Based on science, logical reasoning, causality, possibility, and decision-making processes, Hypothetical deductive reasoning and Scheme inductive reasoning (SIR) are assumed to belong to this category. Students should learn such dialectical strategies from experts, but have not yet been effectively applied to trainees.

本發明以擬真互動數位系統來訓練醫療人員之能以「專家辯證思辨模式」施行醫療診治,充分將「經驗式學習」及「成人學習理論」結合於實作練習中;強調臨床學習要與生物基礎醫學知識充分整合;在習醫之早期即帶入臨床情境,數位系統根據使用者與病人互動產生之數據,給予即時回饋,而提高學習效果;此系統不只提供醫學知識與技能之學習,更同時包括:自主學習、溝通/人際關係、專業素養、及合於醫療體系的團隊工作能力訓練。本系統使用之醫療專家辯證思辨模式乃綜覽文獻及訪問各領域專家,萃取其「知識架構」與「疾病診斷策略」而得。有關本發明所採用之技術、手法與成效,說明如下:敬請參考圖1A,圖1A為本發明醫學診療教育系統100之一實施例。在本實施例中,醫學診療教育系統100包含操作介面裝置110、後台資料庫裝置130。具體而言,操作介面裝置110是作為與使用者產生互動的 介面,例如操作介面裝置110可進一步具有影像顯示模組112。 The present invention uses an imaginary interactive digital system to train medical personnel to implement medical diagnosis and treatment in an "expert dialectical thinking mode", fully combining "experiential learning" and "adult learning theory" in practical exercises; emphasizing that clinical learning must Basic biological medical knowledge is fully integrated; brought into the clinical situation early in the practice of medicine, the digital system provides immediate feedback based on data generated by the interaction between the user and the patient to improve the learning effect; this system not only provides the learning of medical knowledge and skills, It also includes: self-directed learning, communication / interpersonal relationships, professional literacy, and teamwork training that fits the medical system. The dialectical thinking model of medical experts used in this system is obtained by reviewing the literature and interviewing experts in various fields, and extracting its "knowledge framework" and "disease diagnosis strategy". The technology, method and effect adopted by the present invention are described as follows: Please refer to FIG. 1A, which is an embodiment of the medical diagnosis and treatment education system 100 of the present invention. In this embodiment, the medical diagnosis and education system 100 includes an operation interface device 110 and a background database device 130. Specifically, the operation interface device 110 is used to interact with the user. The interface, for example, the operation interface device 110 may further include an image display module 112.

在一實施例中,操作介面裝置110前的使用者可經由操作介面裝置110登進醫學診療教育系統100,例如可以以系統管理員、案例建構作者、教師、學生等不同類別的帳號登入。操作介面裝置110依據登入者帳號類別,經由影像顯示模組112提供不同操作介面給使用者操作。舉例而言,若使用者以案例建構作者的帳號登入醫學診療教育系統100,操作介面裝置110將會提供案例建構介面給使用者。在本實施例中,案例建構介面是用來產生SP及評分相關資訊庫之作者介面。此外,使用者在登入醫學診療教育系統100後可經由操作介面裝置110所提供的介面向後台資料庫裝置下指令。 In an embodiment, a user before the operation interface device 110 can log in to the medical diagnosis and education system 100 through the operation interface device 110. For example, the user can log in with different types of accounts such as a system administrator, a case construction author, a teacher, and a student. The operation interface device 110 provides different operation interfaces for the user to operate through the image display module 112 according to the type of the login account. For example, if the user logs in to the medical diagnosis and education system 100 with the account of the case construction author, the operation interface device 110 will provide a case construction interface to the user. In this embodiment, the case construction interface is the author interface used to generate the SP and scoring-related information database. In addition, after logging in to the medical diagnosis and treatment education system 100, the user can instruct the background database device through the interface provided by the operation interface device 110.

如圖1A及1B所示,後台資料庫裝置130耦接至操作介面裝置110,資料處理裝置120及/或後台資料庫裝置130可包含運算功能程式,其中後臺資料庫裝置130可進一步包含模擬病人資料庫資訊模組130B及評量用標準資料模組130A。在本實施例中,後台資料庫裝置130是用於接收與提供操作介面裝置110的配對訊息,並且可自行依據操作介面裝置110所傳來的使用者診療表現訊息及評量用標準資料庫130A內的資訊做比對運算,並產生評分分數訊息來供使用者參考。在另一實施例中,後台資料庫裝置130亦可根據上述分析結果產生一評語訊息供使用者參考。 As shown in FIGS. 1A and 1B, the background database device 130 is coupled to the operation interface device 110. The data processing device 120 and / or the background database device 130 may include a computing function program. The background database device 130 may further include a simulated patient. Database information module 130B and standard data module 130A for evaluation. In this embodiment, the background database device 130 is used to receive and provide the pairing information of the operation interface device 110, and can itself according to the user's diagnosis performance information and evaluation standard database 130A transmitted from the operation interface device 110. The information in the comparison operation is performed, and the score information is generated for the user's reference. In another embodiment, the background database device 130 may also generate a comment message for the user's reference according to the analysis result.

如圖1A及1B所示,在本實施例中,操作介面裝置110是連接於後台資料庫裝置130,例如可經由有線方式或無線方式連接;但不限於此。 As shown in FIGS. 1A and 1B, in this embodiment, the operation interface device 110 is connected to the background database device 130, for example, can be connected via a wired method or a wireless method; but is not limited thereto.

在一實施例中,操作介面裝置110可為一種計算機裝置,例如桌上型電腦、筆記型電腦、智慧手機、平板電腦、可佩戴的計算裝置以 及其他類似或相關的計算機裝置。操作介面裝置110的影像顯示模組112可為(但不限於)螢幕、投影機、虛擬實境體驗機等影像顯示裝置,並且可包含手勢識別及/或語音識別之功能。。 In an embodiment, the operation interface device 110 may be a computer device, such as a desktop computer, a notebook computer, a smart phone, a tablet computer, a wearable computing device, and the like. And other similar or related computer devices. The image display module 112 of the operation interface device 110 may be, but is not limited to, an image display device such as a screen, a projector, a virtual reality experience machine, and may include gesture recognition and / or voice recognition functions. .

如圖1A及1B所示,在一實施例中,後台資料庫裝置130可為一種計算機裝置,例如伺服器、電腦或雲端服務;但不限於此,在其他不同實施例中,操作介面裝置110可與後台資料庫裝置120位於同一個裝置中 As shown in FIGS. 1A and 1B, in one embodiment, the background database device 130 may be a computer device, such as a server, a computer, or a cloud service; but is not limited thereto. In other different embodiments, the operation interface device 110 Can be on the same device as the background database device 120

如圖1A及1B所示,後台資料庫130內容可包含各種醫學診療教育材料,例如各種醫學教材檔案或資料。在本實施例中,資料庫130模擬病人資料模組內容中可包含有關一個病例的所有資訊,例如疾病病徵、病人主訴與病史資訊、檢驗項目與結果、影像學檢查與結果、病人的基本資料等資訊。具例而言,操作介面110可從後台資料庫裝置130取得一個有關小感冒的病歷資訊,並且根據此病歷資訊將模擬的影像顯示於操作介面裝置110的影像顯示模組112上。 As shown in FIGS. 1A and 1B, the content of the back-end database 130 may include various medical diagnosis and treatment education materials, such as various medical textbook files or materials. In this embodiment, the contents of the database 130 simulation patient data module may include all information about a case, such as disease symptoms, patient complaints and medical history information, test items and results, imaging examinations and results, and basic patient data. And other information. For example, the operation interface 110 may obtain medical record information about a small cold from the background database device 130, and display a simulated image on the image display module 112 of the operation interface device 110 according to the medical record information.

敬請參考本案圖2中的醫學診療教育系統的操作方法之流程500。如圖2所示,在本實施例中,本案的操作方法流程500包含步驟510至550,各步驟將與圖3A至4如下說明:步驟510包含經由操作介面的影像顯示模組提供模擬病人資料。具體而言,操作介面裝置110接收與辨識使用者對模擬病人施行診療之資料(例如,進行病史詢問、或指示檢驗、檢查、病人問題、診斷、處置),操作介面裝置110並發送該配對資訊至後台資料庫裝置130,後台資料庫裝置130提供之回應資訊藉影像顯示模組112呈現,如圖3A所示。在本實施例中,影像顯示模組112可顯示虛擬病人A,其中虛擬病人A可位於任何場景, 例如病房、診所內的任何醫療室、護理服務區等場景。 Please refer to the flow 500 of the operation method of the medical diagnosis and treatment education system in FIG. 2 of this case. As shown in FIG. 2, in this embodiment, the operation method flow 500 of this case includes steps 510 to 550, and each step will be described as follows with FIGS. 3A to 4: Step 510 includes providing simulated patient data through an image display module of an operation interface. . Specifically, the operation interface device 110 receives and recognizes the data of the user performing the diagnosis and treatment on the simulated patient (for example, inquiring a medical history, or instructing a test, examination, patient problem, diagnosis, and treatment), and operates the interface device 110 and sends the pairing information. To the background database device 130, the response information provided by the background database device 130 is presented by the image display module 112, as shown in FIG. 3A. In this embodiment, the image display module 112 can display a virtual patient A, where the virtual patient A can be located in any scene. For example, a ward, any medical room in a clinic, or a nursing service area.

步驟520包含以操作介面裝置110接收與模擬病人資料相關聯之一提問指示訊息,亦即使用者的詢問或指示(檢驗、檢查、病人問題、診斷、處置)之訊息。具體而言,使用者可與操作介面裝置110互動,例如可經由一個輸入介面(鍵盤、滑鼠)詢問虛擬病人A的狀態;然而,在其他不同實施例中,操作介面110亦可包含表情或動作識別及/或語音識別的功能。 Step 520 includes receiving a questioning instruction message associated with the simulated patient data by the operation interface device 110, that is, a user's inquiry or instruction (examination, examination, patient problem, diagnosis, treatment). Specifically, the user may interact with the operation interface device 110, for example, may query the status of the virtual patient A via an input interface (keyboard, mouse); however, in other different embodiments, the operation interface 110 may also include an expression or Motion recognition and / or voice recognition.

以下為在擬真診療過程中操作介面裝置110、使用者動作及後台資料庫裝置130之間各別負責的運算工作:

Figure TW201801055AD00001
The following calculation operations are performed between the interface device 110, the user's actions, and the background database device 130 during the diagnosis and treatment process:
Figure TW201801055AD00001

在另一實施例中,在步驟520後可進一步包含以下步驟:依 據提問或指示訊息,自後台資料庫裝置130取得對應訊息來顯示於操作介面裝置110上。具體而言,如上述表格說明,使用者可對虛擬病人A進行對話來詢問虛擬病人A的狀態。此動作會使操作介面裝置110將使用者所發出的問題或指示檢驗包含在提問或指示訊息中,並且將這些訊息傳送至後台的評分資料庫模組130A。在一實施例中,操作介面裝置110亦可包含手勢識別、面部表情識別及/或語音識別的功能。在此情況下,使用者可直接對操作介面裝置110的虛擬病人A發問問題,操作介面裝置110會將使用者的面部表情、語音、手勢等影像記錄於提問訊息中,並且將此提問訊息傳送至後台資料庫裝置之評分資料庫模組130A。在此需說明的是,除了提問訊息外,操作介面還可包含對虛擬病人的身體檢查指示,或病情相關檢驗或檢查之指示。 In another embodiment, after step 520, the method may further include the following steps: According to the question or instruction message, a corresponding message is obtained from the background database device 130 to be displayed on the operation interface device 110. Specifically, as described in the above table, the user can talk to the virtual patient A to inquire about the status of the virtual patient A. This action causes the operation interface device 110 to include the question or instruction check issued by the user in the question or instruction message, and sends these messages to the background score database module 130A. In an embodiment, the operation interface device 110 may further include functions of gesture recognition, facial expression recognition, and / or voice recognition. In this case, the user can directly ask a question to the virtual patient A of the operation interface device 110. The operation interface device 110 records the user's facial expression, voice, gesture and other images in a question message, and transmits the question message To the score database module 130A of the background database device. It should be noted here that, in addition to the question message, the operation interface may also include instructions for physical examination of the virtual patient, or instructions for examination or inspection related to the condition.

後台資料庫裝置130接收到提問或指示訊息後會分析提問訊息的內容的類型(例如,問答、檢驗之請求等類型),並且依據該訊息的內容從模擬病人資料庫模組130B中取得相對應的回答或結果資訊。具例而言,若使用者詢問虛擬病人A的身體狀況,例如病、體溫、身高、血型及/或身體感覺如何等問題,後台資料庫裝置130中運算程式取得相關的答案,並且將此答案或結果包裝成一個回答訊息並傳送至操作介面裝置110上顯示給使用者參考。 After receiving the question or instruction message, the background database device 130 analyzes the content type of the question message (for example, the type of question and answer, test request, etc.), and obtains the corresponding information from the simulated patient database module 130B according to the content of the message. Answer or result information. For example, if the user asks the physical condition of the virtual patient A, such as illness, temperature, height, blood type, and / or how he feels, the computing program in the background database device 130 obtains a relevant answer, and uses this answer Or the result is packaged into an answer message and transmitted to the operation interface device 110 for display to the user for reference.

在一實施例中,如圖3B所示,操作介面裝置110可將使用者所提出的問題及(或)指示及後台資料庫回傳的答案及(或)結果顯示於影像顯示畫面上,例如於圖3B顯示在畫面中的虛擬框12裡。 In an embodiment, as shown in FIG. 3B, the operation interface device 110 may display the questions and / or instructions provided by the user and the answers and / or results returned by the background database on the image display screen, such as It is shown in FIG. 3B in the virtual frame 12 in the screen.

如圖3B所示,操作介面裝置110同時也可以將某些評分分數 顯示於虛擬框11中。具體而言,在一實施例中,後台資料庫裝置120可依據本次模擬的病歷案件以及到目前為止使用者所提發的問題及指示產生一評分值給使用者參考;但不限於此,在其他不同實施例中,若操作介面裝置110包含手勢識別、表情識別及/或語音識別的功能,後台資料庫裝置120可根據使用者的表情、詢問問題的方式與音量、手勢幫使用者打分數,並將此評分值顯示於顯示畫面的虛擬框11中。 As shown in FIG. 3B, the operation interface device 110 can also score certain scores at the same time. Displayed in the virtual frame 11. Specifically, in one embodiment, the background database device 120 may generate a score value for the user's reference based on the simulated medical record case and the questions and instructions submitted by the user so far; but not limited to this, In other different embodiments, if the operation interface device 110 includes gesture recognition, facial expression recognition, and / or voice recognition functions, the background database device 120 may help the user to type according to the user's expression, the manner of asking questions, the volume, and the gesture. Score, and the score value is displayed in the virtual frame 11 on the display screen.

此外,在另一實施例中,圖3B的顯示畫面亦可包含虛擬框13中的資訊。具體而言,當使用者與虛擬病人A進行問答過程中,後台資料庫裝置120會將使用者所提發的問題或指示與資料庫中該擬真案件所應該有的標準問答比對。如圖3B所示,操作介面裝置110可將標準問答之資訊顯示於虛擬框12中,並且於虛擬框13中標記使用者達成(黑色圓圈)、未達成(白色圓圈)或未執行(叉叉)的項目(虛擬框12中)。後台資料庫裝置120的運算程式亦可依據上述比對的資訊(使用者所提問的問題/檢驗以及後台資料庫裝置130中的標準答案)產生虛擬框11中的評分,並可給使用者描述性回饋。藉由此方式,本發明的醫學診療教育系統100,可讓使用者得知自己所需要補強的地方。 In addition, in another embodiment, the display screen in FIG. 3B may also include the information in the virtual frame 13. Specifically, during the question-and-answer process between the user and the virtual patient A, the background database device 120 compares the questions or instructions submitted by the user with the standard question-and-answer that the database should have for the real case. As shown in FIG. 3B, the operation interface device 110 can display the information of the standard question and answer in the virtual frame 12, and mark the user's completion (black circle), failure to reach (white circle), or failure to perform (fork fork) in the virtual box 13. ) (In virtual box 12). The calculation program of the background database device 120 can also generate the score in the virtual box 11 based on the above-mentioned comparison information (questions / tests asked by the user and standard answers in the background database device 130), and can be described to the user. Sexual feedback. In this way, the medical diagnosis and treatment education system 100 of the present invention can let users know where they need to strengthen.

雖然本系統可以記錄使用者對虛擬病人A進行之詢問及(或)指示,並就其完成項目的完整性給予評分,但使用者很可能仍不知道這些問題或指示對診療疾病的意義,以及其診療過程之效率。因此,本發明的醫學診療教育方法進一步包含步驟530。 Although the system can record the user's inquiries and / or instructions on the virtual patient A, and give a score on the completeness of the completed project, the user is likely to still not know the significance of these questions or instructions for the diagnosis and treatment of the disease, and The efficiency of its diagnosis and treatment. Therefore, the medical diagnosis and treatment education method of the present invention further includes step 530.

步驟530包含取得與模擬病人資料相關的標準診斷資訊以供顯示於操作介面裝置上。具體而言,標準診斷資訊可包含專家標準診療流 程資訊,例如可以病症之診療流程(以專家慣用之資料結構)呈現。在本實施例中,此專家解決臨床問題的策略與知識可以用任何方法獲得,例如以人工智慧取得或以專家建立檔案並儲存於後台資料庫裝置130中。操作介面裝置110提供一或數個解決此臨床問題之空白層次分類欄框(但不限於此類型資料架構),並在顯示模組112上呈現使用者剛完成診療過程所記錄下來的各樣資訊項目,要求使用者將這些資訊在各層次分類欄框中找到適當位置並移入欄框中,使用者欲填入或移入空白類別欄框中的資訊,只能是自己剛才診療虛擬病人過程中留下的資料。爾後,後台資料庫裝置130提供專家診療該模擬病人之一標準診斷流程資訊,包含支持該欄框之虛擬病人資訊證據,並將此標準流程資訊與使用者流程資訊做比對運算,產生分數及描述性結果,此結果可以呈現在顯示模組112上,使用者經過反省自己的解決問題過程對照專家解決同樣問題的過程,而習得診療訣竅。所謂模擬(虛擬)病人影像相關聯是指目前在執行或進行的擬真情景。因此,在此情況下,具體舉例而言,如圖3A所示,模擬案件的相關聯擬真情景為診間、診療台、洗手台等,但不限於此。 Step 530 includes obtaining standard diagnostic information related to the simulated patient data for display on the operation interface device. Specifically, standard diagnostic information can include expert standard diagnostic procedures Process information can be presented, for example, in the diagnosis and treatment process of the disease (in the data structure commonly used by experts). In this embodiment, the expert's strategy and knowledge for solving clinical problems can be obtained by any method, for example, obtained by artificial intelligence or created by the expert and stored in the background database device 130. The operation interface device 110 provides one or several blank hierarchical classification columns (but not limited to this type of data structure) to solve the clinical problem, and displays various information recorded by the user just after completing the diagnosis and treatment process on the display module 112 Items, asking the user to find the appropriate position in each level of the category box and move it into the box. The user wants to fill in or move the information in the blank category box. It can only be retained during the diagnosis and treatment of the virtual patient. Information. Thereafter, the back-end database device 130 provides expert diagnosis and treatment information for one of the simulated patients, including virtual patient information evidence supporting the column, and compares this standard process information with user process information to generate scores and Descriptive results. This result can be presented on the display module 112. The user learns the diagnosis and treatment know-how by reflecting on his own problem-solving process compared with the expert's process of solving the same problem. The so-called simulated (virtual) patient image correlation refers to a realistic scenario that is currently being performed or is being performed. Therefore, in this case, specifically, as shown in FIG. 3A, the associated real-life scenario of the simulated case is a clinic, a treatment table, a hand-washing table, etc., but is not limited thereto.

空白層次分類欄框如圖4所示,以發燒病例模擬的案例為舉例,系統提供專家診療發燒案例的標準資訊分類欄框及(或)流程架構,各欄框標示著專家用以分類的次標題,例如先以發燒期間分為兩週內急性發燒(acute fever)、及三週以上之長期發熱性疾病(prolonged febrile illness)等兩項目框;舉例發燒兩週內的案例,再基於致病機轉將急性發燒類再分為感染、膠原(風濕免疫)、及腫瘤三類;依據病案例之資訊,舉例資訊證據落在感染分類中,以下繼續推展次分類直到可以得到診斷。在本實施例中,這些具 有次標題的空白框,是要讓使用者整理先前診療該模擬病人所做過問答及部分指示資訊,儘可能地將該各資訊項目正確而完整地移進(或鍵入)層次架構的空白分類框中。使用者藉整理自己完成的資訊項目,可以反省自己的診療效能,了解詢問病史、指示各樣檢查與檢驗項目之意義。 The blank hierarchical classification box is shown in Figure 4. Taking the case of fever case simulation as an example, the system provides standard information classification boxes and / or process frameworks for expert diagnosis and treatment of fever cases. Each column indicates the time that the expert used to classify the case. Title, for example, first divide the period of fever into two weeks of acute fever (acute fever) and prolonged febrile illness of three weeks (prolonged febrile illness) and other two boxes; give examples of cases within two weeks of fever, and then based on pathogenicity Acute fever is further classified into three categories: infection, collagen (rheumatic immunity), and tumor. According to the information of the disease case, for example, the information and evidence fall into the infection classification. The following sub-categories are continued until a diagnosis can be obtained. In this embodiment, these tools The blank box with a subtitle is to allow the user to organize the Q & A and partial instruction information made by the simulated patient in the previous diagnosis and treatment, and to move (or type) each information item into the blank category of the hierarchy as accurately and completely as possible. Box. By organizing the information items completed by the user, the user can reflect on the performance of his own diagnosis and understand the significance of asking medical history and instructing various inspection and inspection items.

步驟550包含資料處理裝置120及/或後台資料庫裝置130從操作介面裝置110接收診療病人訊息或要求評量之配對訊息,並依據這些配對訊息產生一評論訊息。具體而言,配對訊息是指上述模擬病人資料相關的標準診斷資訊(例如,專家慣用之病症的診療流程資料結構,如圖4所示)與圖3B中使用者有達成(黑色圓圈)的回答12之間的配對關係。例如,在一實施例中,使用者可將有達成的回答12以滑鼠拉到(或指向、連接)圖4中結構中的其中一個填空框。此外,在本實施例中,配對訊息可包含前述的提問指示訊息(使用者所提出病史、體檢、檢驗、檢查、病人的問題、診斷與處置),或一或多個標準問答/診療指示或流程架構中的填空框(層次類別區塊)間配對的訊息。舉例:後台資料庫裝置130接收診療病人詢問訊息時,就從模擬病人資料庫模組130B調出正確的回應訊息,呈現在操作介面的顯示模組上;舉另一實例,當使用者之診療層次分類完成送出後,後台資料庫裝置130接收到配對訊息時,將從評量用資料庫模組130A提供一專家標準診療過程的架構與在各層次分類欄框中必要的資訊項目,經程式將二者做比對運算,由操作介面的顯示模組呈現出兩者的差異、使用者的分數及(或)描述性回饋(評論訊息)。使用者會意識到與專家的診療過程模式的差異,進而能學習專家有效率而正確的診療方式。 Step 550 includes the data processing device 120 and / or the background database device 130 receiving the patient information from the operation interface device 110 or a pairing message requesting evaluation, and generating a review message based on the pairing message. Specifically, the pairing message refers to the standard diagnostic information related to the above-mentioned simulated patient data (for example, the data structure of the diagnosis and treatment process commonly used by experts, as shown in Figure 4) and the user's answer (black circle) in Figure 3B Pairing relationship between 12. For example, in one embodiment, the user can use the mouse to pull (or point, connect) the completed answer 12 to one of the structures in FIG. 4 to fill in the blank box. In addition, in this embodiment, the pairing message may include the aforementioned question instruction information (medical history, physical examination, examination, examination, patient's question, diagnosis and treatment proposed by the user), or one or more standard Q & A / diagnosis instructions or Messages that are matched between blank boxes (hierarchical category blocks) in the process architecture. For example, when the background database device 130 receives the diagnosis and inquiry message from the patient, it will call out the correct response message from the simulated patient database module 130B and present it on the display module of the operation interface. For another example, when the user's diagnosis and treatment After the hierarchical classification is completed, when the back-end database device 130 receives the pairing message, it will provide a structure of an expert standard diagnosis and treatment process from the database module 130A for evaluation and the necessary information items in the columns of each hierarchical classification. By comparing the two, the difference between the two, the user's score, and / or descriptive feedback (comment message) are displayed by the display module of the operation interface. The user will be aware of the differences between the expert's diagnosis and treatment process model, and can learn the expert's efficient and correct diagnosis and treatment.

應當理解的是,本文所描述的實施例和實施方案僅用於說明 本案的目的,並且各種修改或變化對於本技術領域的人應可輕易理解,並且被包含在本申請的精神及範圍內和所附的申請專利範圍書的範圍。 It should be understood that the examples and implementations described herein are for illustration only The purpose of this case, and various modifications or changes should be easily understood by those skilled in the art, and are included in the spirit and scope of this application and the scope of the attached patent application.

510~550‧‧‧步驟 510 ~ 550‧‧‧step

Claims (12)

一種醫學診療教育系統,包含:一資料庫裝置,儲存一或多個模擬病人資料;一操作介面裝置,經由一影像顯示模組提供該模擬病人資料,並且接收與該模擬病人資料有關聯之一提問指示訊息;一資料處理裝置,從該資料庫裝置取得與該模擬病人資料相關聯之一標準診斷資訊以供顯示於操作介面裝置上;其中,標準診斷資訊中具有一或多個類別區塊;當該資料處理裝置從該操作介面裝置接收一配對訊息時,且該配對訊息包含該提問指示訊息與該一或多個類別區塊的配對之訊息,該資料處理裝置依據該配對訊息產生一評論訊息。 A medical diagnosis and treatment education system includes: a database device that stores one or more simulated patient data; an operation interface device that provides the simulated patient data through an image display module and receives one that is associated with the simulated patient data Question indication message; a data processing device that obtains standard diagnostic information associated with the simulated patient data from the database device for display on the operating interface device; wherein the standard diagnostic information has one or more category blocks ; When the data processing device receives a pairing message from the operation interface device, and the pairing message includes the pairing information of the question instruction message and the one or more category blocks, the data processing device generates a pairing message according to the pairing message Comment message. 如請求項1所述之系統,其中該資料庫裝置為後台的資料庫裝置,並且包含一病人資料庫及一評量標準資料庫。 The system according to claim 1, wherein the database device is a background database device, and includes a patient database and an evaluation standard database. 如請求項2所述之系統,其中該標準診斷資訊儲存於該評量標準資料庫。 The system according to claim 2, wherein the standard diagnostic information is stored in the evaluation standard database. 如請求項1所述之系統,其中該標準診斷資訊包含一專家診療過程標準資訊以及其相關的一或多個標準提問或標準指示之訊息。 The system according to claim 1, wherein the standard diagnostic information includes standard information of an expert diagnosis and treatment process and related one or more standard questions or standard instructions. 如請求項1所述之系統,其中該資料庫裝置為後台的資料庫,並且包含。 The system according to claim 1, wherein the database device is a background database and includes. 如請求項1所述之系統,其中該提問指示訊息包含語音的指示、語音的詢問、手勢之資訊或表情之資訊。 The system according to claim 1, wherein the question instruction message includes a voice instruction, a voice inquiry, gesture information or expression information. 如請求項6所述之系統,其中該資料處理裝置提供資料之邏輯運算之功能,並且對接收到的該提問指示訊息進行辨識或運算;當進行辨識時,該資料處理裝置可以文字辨識、語音識別、表情辨識或手勢辨識判斷資訊,並依據辨識與判讀之該資訊,以該資料處理裝置從該資料庫裝置中調出相關聯的該模擬病人資料。 The system according to claim 6, wherein the data processing device provides a function of logical operation of data, and recognizes or calculates the received question instruction message; when the identification is performed, the data processing device can perform text recognition, voice Identification, expression recognition or gesture recognition judgment information, and according to the information recognized and interpreted, the data processing device calls up the associated simulated patient data from the database device. 如請求項7所述之系統,其中該標準診斷資訊包含專家認為應該提問或下指示之訊息,或專家解決臨床問題的策略與知識之資訊,包含可藉由人工智慧取得。 The system of claim 7, wherein the standard diagnostic information includes information that the expert thinks should ask questions or give instructions, or information about the expert's strategy and knowledge to solve clinical problems, including information that can be obtained by artificial intelligence. 如請求項1所述之系統,其中該評論訊息包含一評分分數訊息或一評語訊息。 The system according to claim 1, wherein the comment message includes a rating score message or a comment message. 如請求項1所述之系統,其中該提問指示訊息包含要求體檢、檢驗、檢查、病人問題、診斷或處置之指示訊息 The system of claim 1, wherein the questioning instruction message includes instructions for requesting a medical examination, test, examination, patient problem, diagnosis, or treatment 一種醫學診療教育方法,包含:(a)經由一操作介面裝置的一影像顯示模組,提供一模擬病人資料;(b)以該操作介面裝置接收與該模擬病人資料有關聯之一提問指示訊息;(c)以一資料處理裝置從該資料庫裝置取得與該模擬病人資料相關聯之一標準診斷資訊並顯示於該操作介面裝置的影像顯示模組,其中該標準診斷資訊中具有一或多個類別區塊;(d)以該資料處理裝置從該操作介面裝置接收一配對訊息,該配對訊息包含該提問指示訊息或該提問指示訊息與該一或多個類別區塊配對之訊息,該資料處理裝置依據該配對訊息產生一評論訊息。 A medical diagnosis and treatment education method includes: (a) providing a simulated patient data through an image display module of an operation interface device; (b) receiving a questioning instruction message related to the simulated patient data through the operation interface device (C) using a data processing device to obtain a standard diagnostic information associated with the simulated patient data from the database device and display it in an image display module of the operation interface device, wherein the standard diagnostic information has one or more (D) using the data processing device to receive a pairing message from the operation interface device, the pairing message including the question instruction message or the question instruction message being paired with the one or more category blocks, the The data processing device generates a comment message according to the pairing message. 如請求項11所述之方法,其中該步驟(b)進一步包含:依據一使用者之語音或手勢,藉由該操作介面裝置產生該提問訊息;以該資料處理裝置,以語音識別或手勢識別方式從該提問訊息中判斷出一詢問問題。 The method according to claim 11, wherein the step (b) further comprises: generating the question message through the operation interface device according to a user's voice or gesture; using the data processing device, using voice recognition or gesture recognition A way to judge a question from the question message.
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