TWI755649B - System and method capable of generating a treatment planning sheet and integrating medical records/information of a patient thereof - Google Patents

System and method capable of generating a treatment planning sheet and integrating medical records/information of a patient thereof Download PDF

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TWI755649B
TWI755649B TW108140165A TW108140165A TWI755649B TW I755649 B TWI755649 B TW I755649B TW 108140165 A TW108140165 A TW 108140165A TW 108140165 A TW108140165 A TW 108140165A TW I755649 B TWI755649 B TW I755649B
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TW202119429A (en
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蕭正英
朱原嘉
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臺北榮民總醫院
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Abstract

In one aspect, the present invention provides a system capable of generating a treatment planning sheet and integrating medical records/information of a patient thereof. The system comprises n treatment methods of different categories and a plurality of treatment sequences. Each treatment method has a number of Tx respectively, wherein n is a positive integer equal to or greater than 1, T is a fixed positive integer equal to or greater than 2, and x is a variable of positive integer ranging from 0 to n-1, respectively. Each treatment sequence corresponds to one or more treatment methods; wherein the number of treatment methods corresponding to each of the treatment sequence becomes treatment codes after summation, and the treatment codes arranged in sequence form a treatment planning table. In another aspect, the present invention provides a method capable of generating a treatment planning sheet and integrating medical records/information of a patient thereof.

Description

可產生治療計畫書及整合病人病歷醫療資料的系統及方法System and method for generating treatment plan and integrating medical data of patient medical records

發明係關於一種可產生治療計畫書之系統及方法,尤其係關於一種結合病人病歷醫療資料收集整合系統之產生治療計畫書之系統及方法。The invention relates to a system and method for generating a treatment plan, in particular to a system and method for generating a treatment plan combined with a patient medical record medical data collection and integration system.

對於癌症的治療,必須整合多專科團隊的資源,且在治療期間必須撰寫治療計畫書,並根據病人病情的發展修正治療計畫書,一份填寫完整的治療計畫書對於治療病人有很大的助益,且可作為後續治療相同癌症的參考。For cancer treatment, the resources of a multi-specialty team must be integrated, and a treatment plan must be written during treatment and revised according to the development of the patient's condition. A completed treatment plan is very important for treating patients. It is of great benefit and can be used as a reference for subsequent treatment of the same cancer.

然而,由於癌症各治療階段可能由不同專科團隊執行,因此撰寫治療計畫書的人員必須進入不同的醫療管理系統查詢或向各專科團隊成員諮詢,耗費負責撰寫的人員許多時間。是以治療計畫書往往在人為因素下記載不完整或不正確,而無法發揮應有的效果。However, since each stage of cancer treatment may be performed by different specialized teams, the person who writes the treatment plan must enter different medical management systems to inquire or consult with members of each specialized team, which consumes a lot of time for the person in charge of writing. Therefore, the treatment plan is often incomplete or incorrect due to human factors, and it cannot play its due effect.

因此,如何改進以單一人員撰寫癌症治療計畫書所造成之種種缺失,已成為癌症治療上的一大課題。Therefore, how to improve various deficiencies caused by writing a cancer treatment plan by a single person has become a major issue in cancer treatment.

有鑑於習知技術之缺失,本發明提供一種可產生治療計畫書及整合其病人病歷醫療資料的系統,包含:一病歷資料庫,提供至少一病人之病歷醫療資料,其包含至少一醫療診斷;以及一治療計畫書擬定模組,包含複數個治療順序及n個不同類別的治療方法,該些治療方法分別具有編號TX ,其中n為一等於或大於1之一正整數, T為一等於或大於2之固定正整數,x分別為0 至 n - 1中之一可變正整數,每一治療順序對應至少一治療方法;其中治療計畫書擬定模組由病歷資料庫取得病人之病歷醫療資料,且加總每一治療順序中對應之治療方法得到一或多個治療代號,以產生一治療計畫書,該治療計畫書包含至少一個治療代號,治療代號依所對應之治療順序排列。上述治療代號可在不同治療順序中由不同專科團隊填寫,以改進習知技術中以單一人員撰寫癌症治療計畫書所造成記載不完整或不正確之缺失。In view of the deficiencies in the prior art, the present invention provides a system for generating a treatment plan and integrating the medical data of the patient's medical records, including: a medical record database that provides at least one patient's medical records and medical data, including at least one medical diagnosis ; and a treatment plan drafting module, including a plurality of treatment sequences and n different types of treatment methods, the treatment methods are respectively numbered T X , wherein n is a positive integer equal to or greater than 1, and T is A fixed positive integer equal to or greater than 2, x is a variable positive integer from 0 to n - 1, each treatment sequence corresponds to at least one treatment method; the treatment plan drawing module obtains the patient from the medical record database and add up the corresponding treatment methods in each treatment sequence to obtain one or more treatment codes to generate a treatment plan, the treatment plan includes at least one treatment code, and the treatment code is based on the corresponding treatment code. Treatment order. The above treatment codes can be filled in by different specialist teams in different treatment sequences, so as to improve the incomplete or incorrect records caused by a single person writing a cancer treatment plan in the prior art.

本發明更提供一種可產生治療計畫書及整合其病人病歷醫療資料的方法,包含下列步驟:提供至少一病人之病人病歷醫療資料,其包含至少一醫療診斷及其治療方法;以及產生治療計畫書,其包括根據醫療診斷及其治療方法擬定一治療計畫書。該治療計畫書包含n個不同類別的治療方法,分別具有編號TX ,其中n為一等於或大於1之一正整數, T為一等於或大於2之固定正整數,x分別為0 至 n - 1中之一可變正整數。該治療計畫書係根據其治療方法編號之加總產生對應之治療計畫。The present invention further provides a method for generating a treatment plan and integrating the medical data of the patient's medical records, comprising the following steps: providing the medical data of the patient's medical records of at least one patient, which includes at least one medical diagnosis and a treatment method thereof; and generating a treatment plan A picture book, which includes drawing up a treatment plan based on medical diagnosis and treatment methods. The treatment plan contains n different types of treatment methods, respectively numbered T X , where n is a positive integer equal to or greater than 1, T is a fixed positive integer equal to or greater than 2, and x is 0 to One of n - 1 variable positive integer. The treatment plan book generates a corresponding treatment plan according to the summation of its treatment method numbers.

無須進一步的闡述,咸相信本發明所屬技術領域中具有通常知識者基於前述說明即可利用本發明至最廣的程度。因此,可以理解以下的說明僅僅是作為例示說明之用,而非以任何方式限制其餘的揭露內容。Without further elaboration, it is believed that one of ordinary skill in the art to which this invention pertains can, based on the foregoing description, utilize the present invention to its broadest extent. Therefore, it is to be understood that the following description is for illustration purposes only, and is not intended to limit the remainder of the disclosure in any way.

為讓本發明之上述和其他目的、特徵和優點能更明顯易懂,下文特舉較佳實施例,並配合所附圖式,作詳細說明如下。In order to make the above-mentioned and other objects, features and advantages of the present invention more clearly understood, preferred embodiments are hereinafter described in detail in conjunction with the accompanying drawings.

除非另有指明,所有在此處使用的技術性和科學性術語具有如同本發明所屬技藝中之通常技術者一般所瞭解的意義。Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

本文中所使用的「一」乙詞,如未特別指明,係指至少一個(一個或一個以上)之數量。The word "a" as used herein, unless otherwise specified, refers to the quantity of at least one (one or more).

請參閱圖1,係本發明可產生治療計畫書之病人病歷醫療資料整合系統之可產生治療計畫書及整合其病人病歷醫療資料的系統400一具體實施例之一系統架構圖。本發明之系統400包含:一病歷資料庫51,提供至少一病人之醫療資料,其包含至少一醫療診斷;以及一治療計畫書擬定模組3,包含n個不同類別的治療方法以及複數治療順序,每一治療方法分別具有編號TX ,其中n為一等於或大於1之一正整數 (即自然數), T為一等於或大於2之固定正整數,x分別為0 至 n - 1中之一可變正整數;其中治療計畫書擬定模組3由病歷資料庫51接收病人病歷醫療資料,醫生可根據醫療診斷在每一治療順序中選擇一或多個治療方法,治療計畫書擬定模組3係加總每一治療順序中對應之治療方法編號,使得每一治療順序可由一治療代號表示,以產生一治療計畫書包含一或多個治療代號依所對應之治療順序排列。Please refer to FIG. 1 , which is a system architecture diagram of a specific embodiment of a system 400 capable of generating a treatment plan and integrating the medical data of a patient's medical record of the patient's medical record medical data integration system capable of generating a treatment plan of the present invention. The system 400 of the present invention includes: a medical record database 51, which provides medical data of at least one patient, including at least one medical diagnosis; and a treatment plan drafting module 3, including n different types of treatment methods and multiple treatments Sequentially, each treatment method has a number T X , where n is a positive integer (ie, a natural number) equal to or greater than 1, T is a fixed positive integer equal to or greater than 2, and x is 0 to n - 1, respectively One of them is a variable positive integer; wherein the treatment plan drafting module 3 receives the medical data of the patient's medical records from the medical record database 51, and the doctor can select one or more treatment methods in each treatment sequence according to the medical diagnosis, and the treatment plan The book drafting module 3 adds up the corresponding treatment method numbers in each treatment sequence, so that each treatment sequence can be represented by a treatment code, so as to generate a treatment plan book containing one or more treatment codes according to the corresponding treatment sequence arrangement.

詳細而言,各該治療順序包含一治療順序1、一治療順序2…一治療順序m,m屬於正整數,其值可視實際治療情況調整,治療順序1對應一第一治療代號,第一治療代號包含至少一個治療方法編號TX 之總和;治療順序2對應一第二治療代號,第二治療代號包含至少一個治療方法編號TX 之總和;治療順序m對應一第m治療代號,該第m治療代號包含至少一個至離方法編號TX 之總合。值得一提的是,該治療計畫書係以第一治療代號-第二治療代號…-第m治療代號呈現。In detail, each treatment sequence includes a treatment sequence 1, a treatment sequence 2... a treatment sequence m, where m is a positive integer, and its value can be adjusted according to the actual treatment situation. Treatment sequence 1 corresponds to a first treatment code, the first treatment The code contains the sum of at least one treatment method number TX ; the treatment sequence 2 corresponds to a second treatment code, and the second treatment code contains the sum of at least one treatment method number TX ; the treatment sequence m corresponds to an mth treatment code, the mth treatment code The treatment code contains the sum of at least one from the method code TX . It is worth mentioning that the treatment plan is presented with the first treatment code - the second treatment code... - the mth treatment code.

以T=2,n=4(4種不同類別之治療方法)為例,4種不同類別之治療方法分別編號為1 (20 ), 2 (21 ),4 (22 ),8 (23 ) ,若根據醫療診斷確認病症後,可知其治療計畫包括數個治療方法。在一示例中,醫師於一治療順序中(例如,第一治療順序)選擇了包括編號1及4 (亦即,20 及22 )治療方法組合,依治療方法編號之總和(1+4=5)得到對應之治療代號5。醫師在一治療順序中若選擇了包括編號21 及23 (亦即,2及8)之治療方法,依治療方法編號之總和(2+8=10)得到對應之治療代號10。Taking T=2, n=4 (4 different types of treatment methods) as an example, the 4 different types of treatment methods are numbered 1 (2 0 ), 2 (2 1 ), 4 (2 2 ), 8 ( 23 ), if the disease is confirmed according to the medical diagnosis, it is known that the treatment plan includes several treatment methods. In one example, the physician selects a combination of treatments including numbers 1 and 4 (i.e., 2 0 and 2 2 ) in a treatment sequence (eg, the first treatment sequence), according to the sum of the treatment numbers (1+4 =5) Get the corresponding treatment code 5. If a physician selects a treatment method including numbers 2 1 and 2 3 (ie, 2 and 8) in a treatment sequence, the corresponding treatment code 10 is obtained according to the sum of the treatment method numbers (2+8=10).

本發明之系統400的特點在於一治療順序中選擇不同組合的治療方法可得一獨一無二之治療代號,如下表1所示,當T=2,n=4時,可有15個治療代號。因此在每一治療順序的治療方法可方便地被記錄下來,醫事人員可藉由治療代號快速了解病人在各治療順序所對應之治療方法,而當有大量的醫療資料被本發明之系統處理後,研究人員可根據所累積之資料,加以統計分析找出針對病人不同狀況較有效的治療計畫,以增加治癒病人的機率。 表1 一治療順序中治療代號與對應之治療方法編號組合 (以T=2,n=4, 4種不同類別之治療方法為例) 治療代號 治療方法編號之組合 20 21 22 23 1       2       3     4       5     6     7   8       9     10     11   13   14   15 The system 400 of the present invention is characterized in that a unique treatment code can be obtained by selecting different combinations of treatment methods in a treatment sequence. As shown in Table 1 below, when T=2, n=4, there can be 15 treatment codes. Therefore, the treatment methods in each treatment sequence can be conveniently recorded, and the medical staff can quickly understand the treatment methods corresponding to the patients in each treatment sequence by the treatment code. When a large amount of medical data is processed by the system of the present invention , researchers can make statistical analysis based on the accumulated data to find out more effective treatment plans for different conditions of the patient, so as to increase the probability of curing the patient. Table 1 - Combination of treatment code and corresponding treatment method number in the treatment sequence (T=2, n=4, 4 different types of treatment methods as an example) Treatment code Combination of Treatment Numbers 2 0 2 1 2 2 2 3 1 2 3 4 5 6 7 8 9 10 11 13 14 15

病歷資料庫51中之病人病歷醫療資料係先經一可擴充性之醫療資料收集系統6分類收集,該可擴充性之醫療資料收集系統6為,例如,中華民國專利第I554969號描述之具可擴充性之醫療資料收集系統。本發明之系統400可更包含一治療計畫書輸出模組4以及一醫療計畫資料庫52,其中治療計畫書擬定模組3產生之針對病人的治療計畫書由治療計畫書輸出模組4輸出至醫療計畫資料庫52。可選地,治療計畫書輸出模組4亦可將一治療計畫書輸出至可擴充性之醫療資料收集系統6,該治療計畫書中之病人病歷資料及治療方法將被分類編排並嵌入該可擴充性之醫療資料收集系統6。藉由以上的流程,系統6可不斷被擴充,病人將可得到更加精確有效的治療方法及治療順序。此外,醫療計畫資料庫52亦可選擇將治療計畫書輸出至可擴充性之醫療資料收集系統6。The medical data of the patient's medical records in the medical record database 51 are firstly collected by classification by an expandable medical data collecting system 6 . Expandable medical data collection system. The system 400 of the present invention may further include a treatment plan output module 4 and a medical plan database 52, wherein the treatment plan for the patient generated by the treatment plan preparation module 3 is output from the treatment plan Module 4 outputs to the medical plan database 52 . Optionally, the treatment plan output module 4 can also output a treatment plan to the expandable medical data collection system 6, and the patient medical records and treatment methods in the treatment plan will be classified and arranged. Embed the extensible medical data collection system 6 . Through the above process, the system 6 can be continuously expanded, and the patient can obtain more precise and effective treatment methods and treatment sequences. In addition, the medical plan database 52 can optionally output the treatment plan to the expandable medical data collection system 6 .

如圖2所示,於一特定實施例,該可擴充性之醫療資料收集系統6係包括一大數據系統資料庫61,該大數據系統資料庫係藉由設置於該資料庫之一萃取/轉置/載入模組(ETL(Extract-Transform-Load))62連接該醫療計畫資料庫52。該ETL 62之功能可包括但不限於:收集個別醫療計畫書並轉換格式、給予一流水號、資訊加密、資訊除錯、將資訊載入該大數據系統資料庫61。一般而言,ETL係使用暫存資料表在資料轉換時暫時保存資料,而最終將數據載入至其資料庫。該大數據系統資料庫61可另分割為複數個特定疾病之資料庫,例如,特定疾病資料庫可為癌症資料庫、耳部疾病資料庫、腎臟疾病資料庫、和健康控制組資料庫,但本發明不限於此。As shown in FIG. 2, in a specific embodiment, the scalable medical data collection system 6 includes a big data system database 61, which is extracted/extracted by one of the databases provided in the database. A transpose/load module (ETL (Extract-Transform-Load)) 62 is connected to the medical plan database 52 . The functions of the ETL 62 may include, but are not limited to: collecting individual medical plans and converting the formats, giving first-class numbers, encrypting information, debugging information, and loading information into the big data system database 61 . In general, ETLs use staging data tables to temporarily store data during data conversion, and eventually load the data into its database. The big data system database 61 can be further divided into a plurality of databases of specific diseases, for example, the database of specific diseases can be cancer database, ear disease database, kidney disease database, and health control group database, but The present invention is not limited to this.

此外,該大數據系統資料庫61可連接至複數個醫院或醫療系統之醫療計畫資料庫52。因此,各醫療計畫資料庫52可於各局部資料庫分析其收集之數據,並藉由該大數據系統資料庫61共享數據。再者,如圖2所示,該醫療計畫資料庫52亦可對於醫療計畫文獻或醫療存活率表進行查詢,依據文獻及存活率表進一步擴充該醫療計畫資料庫52,並使醫療計畫得以最佳化。針對各別患者之治療,使用者7亦可向該大數據系統資料庫61提出查詢,並接收來自該大數據系統資料庫61之數據。故,本發明藉由前述共享數據之方式,可結合資料整合平台,以及改良醫療大數據之使用效率,並改善患者照護流程和有利於將AI應用於醫療大數據。In addition, the big data system database 61 can be connected to the medical plan database 52 of a plurality of hospitals or medical systems. Therefore, each medical plan database 52 can analyze the data it collects in each local database, and share the data through the big data system database 61 . Furthermore, as shown in FIG. 2, the medical plan database 52 can also query the medical plan documents or the medical survival rate table, and further expand the medical plan database 52 according to the documents and the survival rate table, and make medical treatment The plan is optimized. For the treatment of individual patients, the user 7 can also make inquiries to the big data system database 61 and receive data from the big data system database 61 . Therefore, the present invention can combine the data integration platform, improve the efficiency of medical big data, improve the patient care process, and facilitate the application of AI to medical big data by means of the aforementioned data sharing method.

於進一步實施例,該ETL 62係將其接收之數據藉由HL7FHIR(Health Level 7, Fast Healthcare Interoperability Resources)轉換格式。In a further embodiment, the ETL 62 converts the data it receives through HL7FHIR (Health Level 7, Fast Healthcare Interoperability Resources).

又,於進一步實施例,該大數據系統資料庫61包括一人工智慧分析模組(圖未揭示),用於分析並改善該大數據系統資料庫61之管理。Furthermore, in a further embodiment, the big data system database 61 includes an artificial intelligence analysis module (not shown in the figure) for analyzing and improving the management of the big data system database 61 .

於一較佳實施例,該醫療計畫資料庫包括:一數據詞彙控制表521和一數據詮釋參照表522,該數據詞彙控制表521具有變動性的醫學詞彙分類,並且儲存醫療手段的檢索邏輯,另一方面,該數據詮釋參照表522具有詮釋醫療詞彙之資料,係不變動之參照表。In a preferred embodiment, the medical plan database includes: a data vocabulary control table 521 and a data interpretation reference table 522, the data vocabulary control table 521 has variable medical vocabulary classification, and stores the retrieval logic of medical means. On the other hand, the data interpretive reference table 522 has data for interpreting medical terms, and is a constant reference table.

為達成依照醫師所欲治療疾病之項目搜集資料,可以於數據詞彙控制表521中,針對疾病之數值型態、數值單位、數值個數、數值判斷基準值、數據重要度、類別控制、資料詮釋參照表關聯等資料預先做設定。另一方面,為達成詮釋數據的屬性以及保持資料品質之一致化與標準化,將詮釋醫療詞彙的資料建立於數據詮釋參照表522中。In order to collect data according to the items that the doctor wants to treat the disease, in the data vocabulary control table 521, the numerical type, numerical unit, number of numerical values, numerical judgment reference value, data importance, category control, and data interpretation can be used for the disease. Reference table associations and other data are pre-set. On the other hand, in order to achieve the attributes of the interpretation data and maintain the consistency and standardization of the quality of the data, the data for the interpretation of medical terms is established in the data interpretation reference table 522 .

於一實施例,該數據詞彙控制表521中儲存國際疾病分類標準代碼(ICD)(例如ICD9或ICD10)、手術處置疾病分類代碼(PCS)、學名藥代碼、觀測指標標識符邏輯命名與編碼系統(LOINC code)、健保碼等資訊,供系統使用者輸入檢索詞彙並進行檢索。例如,ICD9中包括多種疾病代碼可供臨床醫師使用,如癌症、傳染性疾病、內分泌相關疾病、血液組織相關疾病、精神疾病、癌症、循環系統疾病,但不限於此。In one embodiment, the data vocabulary control table 521 stores the International Classification of Diseases (ICD) (eg, ICD9 or ICD10), the surgical treatment disease classification code (PCS), the scientific name drug code, the observation index identifier logical naming and coding system (LOINC code), health insurance code and other information for system users to input search terms and search. For example, ICD9 includes a variety of disease codes that can be used by clinicians, such as cancer, infectious diseases, endocrine-related diseases, blood tissue-related diseases, mental diseases, cancer, circulatory system diseases, but not limited thereto.

於一特定實施例,該詞彙控制表521係癌症治療之詞彙控制表而該醫療計畫資料庫係癌症醫療計畫資料庫。但本發明不限於此,該詞彙控制表521亦可納入其他疾病,例如傳染病、心血管疾病、牙科疾病、或腎臟病等醫學詞彙。In a particular embodiment, the vocabulary control table 521 is a vocabulary control table for cancer treatment and the medical plan database is a cancer medical plan database. However, the present invention is not limited to this, and the vocabulary control table 521 can also include medical vocabulary of other diseases, such as infectious diseases, cardiovascular diseases, dental diseases, or kidney diseases.

於本實施例,該詞彙控制表521所儲存之醫療手段可為一般醫療人員可使用之醫療方法,包括但不限於:一般藥物治療、癌症化療、放射治療、或手術治療。In this embodiment, the medical methods stored in the vocabulary control table 521 can be medical methods that can be used by general medical personnel, including but not limited to: general drug treatment, cancer chemotherapy, radiotherapy, or surgery.

舉例而言,當醫師使用該醫療計畫資料庫之數據詞彙控制表521、檢索特定疾病之治療方法時,可輸入正面表列判準,例如檢索患者罹患特定疾病、治療期間、或使用特定藥物等條件,和/或輸入負面表列判準,例如,排除特定年齡或性別、排除再次復發之患者、排除曾罹患其他疾病、排除曾接受手術等條件。輸入檢索後,可自該資料庫取得輸出之檢索結果,包括但不限於整體生存率、復發率、或手術成功率等。For example, when a physician uses the data vocabulary control table 521 of the medical plan database to search for a treatment method for a specific disease, a positive list criteria can be entered, such as searching for a patient suffering from a specific disease, during treatment, or using a specific drug Other conditions, and/or enter negative list criteria, for example, exclude specific age or gender, exclude patients with relapse, exclude previous suffering from other diseases, exclude previous surgery, etc. After the input search, the output search results can be obtained from the database, including but not limited to the overall survival rate, recurrence rate, or surgical success rate, etc.

再者,自資料庫取得之資料亦可將其分類,便於使用者分析輸出數據,例如以患者之性別、年齡、癌症類型、曾否罹患相關疾病、是否具有藥物抗性;但本發明不限於此,亦可依據患者服用之藥物分類,例如可依據服用不同藥物之患者分類,以檢視患者服用不同藥物後之存活率。或,可依據不同之組合療法分類,例如,區分為接受化療和手術切除之癌症患者、以及接受化療、放療、和手術切除之患者,以檢視不同組合療法之患者之存活率,以預測最佳治療結果。In addition, the data obtained from the database can also be classified to facilitate the user to analyze the output data, such as the patient's gender, age, cancer type, whether he has suffered from related diseases, and whether he has drug resistance; but the present invention is not limited to In addition, it is also possible to classify the patients according to the medicines they take, for example, to check the survival rate of the patients after taking different medicines. Or, it can be classified according to different combination therapy, for example, differentiate into cancer patients who received chemotherapy and surgical resection, and patients who received chemotherapy, radiation therapy, and surgical resection, to examine the survival rate of patients with different combination therapy to predict the best Treatment results.

最後患者資料和醫療計畫確認完成後,即可依照患者分群之方式將前述資訊儲存於該醫療計畫資料庫52中。另,該些資訊則依不同病人及疾病分類資訊,執行指令以先深後廣搜尋方式進行,將數據詞彙寫入該資料庫52。Finally, after the confirmation of the patient data and the medical plan is completed, the aforementioned information can be stored in the medical plan database 52 according to the patient grouping method. In addition, the information is based on different patient and disease classification information, the execution command is carried out in a deep-to-wide search manner, and the data vocabulary is written into the database 52 .

在本發明之系統400的一實施例中,更可包含一第一判斷模組17,用以判斷病人病歷醫療診斷是否為一新的診斷;以及一第二判斷模組18,其根據醫療診斷判斷出治療之目的,以癌症為例,醫師可根據醫療診斷決定要採取以治癒為目標之積極治療或是緩解病人疼痛之緩和治療。In an embodiment of the system 400 of the present invention, it may further include a first judgment module 17 for judging whether the medical diagnosis in the patient's medical record is a new diagnosis; and a second judgment module 18 for judging according to the medical diagnosis To determine the purpose of treatment, taking cancer as an example, physicians can decide whether to take active treatment with the goal of curing or palliative treatment to relieve the patient's pain according to the medical diagnosis.

請參閱圖3,係本發明整合系統之一具體實施例之一實作示意圖。圖3中的表格係表示一癌症病人的治療計畫書,其具有如上所述之m個治療順序。以癌症治療為例,如圖3A所示,以m=10為示例,於治療順序1中選擇手術(Surgery),其治療方法編號為1(即20 ),因此,治療順序1之治療代號為1;在治療順序2選擇放射線治療(Radiotherapy),其編號為2 (即21 ),以及選擇全身性治療(Systemic Therapy),其編號為4 (即22 ),因此,治療順序2之治療代號為2+4=6 (21 +22 =6);在治療順序3選擇全身性治療(Systemic Therapy)(例如,化療(Chemotherapy)、荷爾蒙治療(Hormonal therapy)、標靶治療(Target Therapy)等治療方法),其編號為4(即22 ),因此,治療順序3之治療代號為4。綜上所述,這位癌症病人的治療計畫可由1-6-4來表示,而上述治療計畫的呈現形式暨易於判讀且簡單明了。以上僅以三個治療順序所對應之三個治療代號例示一治療計畫書。其它示例亦可有m個治療順序 (m屬於任意自然數) 分別對應第一至第m治療代號。Please refer to FIG. 3 , which is a schematic diagram of an implementation of a specific embodiment of the integrated system of the present invention. The table in FIG. 3 represents a treatment plan for a cancer patient, which has m treatment sequences as described above. Taking cancer treatment as an example, as shown in Figure 3A, taking m=10 as an example, in the treatment sequence 1, surgery is selected, and the treatment method number is 1 (ie 2 0 ), therefore, the treatment code of the treatment sequence 1 is 1; in treatment order 2, choose Radiotherapy, which is numbered 2 (ie, 2 1 ), and select Systemic Therapy, whose number is 4 (ie, 2 2 ). Therefore, the number of treatment sequence 2 is 2. The treatment code is 2+4=6 (2 1 +2 2 =6); in treatment sequence 3, choose Systemic Therapy (eg, Chemotherapy, Hormonal therapy, Targeted therapy) Therapy) and other treatment methods), its number is 4 (ie 2 2 ), therefore, the treatment code of treatment sequence 3 is 4. In summary, the cancer patient's treatment plan can be represented by 1-6-4, and the presentation of the above treatment plan is easy to interpret and simple. The above only illustrates a treatment plan with three treatment codes corresponding to the three treatment sequences. In other examples, there may also be m treatment sequences (m belongs to any natural number) corresponding to the first to mth treatment codes respectively.

此外,若為其他治療疾病,以類風溼關節炎為例,如圖3B所示,於治療順序1中選擇光療,其治療方法編號為1(即20 ),因此,治療順序1之治療代號為1;在治療順序2選擇電療,其編號為2 (即21 ),以及水療編號為4 (即22 ),以此類推。因此,類風溼性關節炎之患者的治療計畫可由18-1來表示,而同樣地上述治療計畫的呈現形式易於判讀且簡單明了。再者,產生醫療計畫之方法和邏輯與圖3A之例示均相同,於此不再贅述,亦可支持本發明之系統和方法可應用於多種醫療領域。In addition, if it is another treatment disease, taking rheumatoid arthritis as an example, as shown in Figure 3B, phototherapy is selected in the treatment sequence 1, and the treatment method number is 1 (ie, 2 0 ), so the treatment code of the treatment sequence 1 is is 1; electrotherapy is selected in treatment sequence 2, and its number is 2 (ie 2 1 ), and the number of hydrotherapy is 4 (ie 2 2 ), and so on. Thus, a treatment plan for a patient with rheumatoid arthritis can be represented by 18-1, and likewise the presentation of the above treatment plan is easy to read and straightforward. Furthermore, the method and logic for generating the medical plan are the same as those shown in FIG. 3A , which will not be repeated here, but also support that the system and method of the present invention can be applied to various medical fields.

因此,習知技術者可依據圖3A和圖3B得知,本發明之系統非為治療疾病所限制,而可用於多種醫療領域,包括癌症、傳染性疾病、內分泌相關疾病、血液組織相關疾病、精神疾病、癌症、或循環系統疾病,但不限於此。Therefore, those skilled in the art can know from FIG. 3A and FIG. 3B that the system of the present invention is not limited to the treatment of diseases, but can be used in various medical fields, including cancer, infectious diseases, endocrine-related diseases, blood tissue-related diseases, Mental illness, cancer, or circulatory disease, but not limited thereto.

過去醫師在填寫癌症治療計畫大多是一人完成且採取文章式寫法,但癌症治療需考慮治療的類別組合及順序,因此必須整合不同階段的多團隊成員意見,一人若要完成癌症治療計畫,必須進入不同的醫療系統查詢資料或向不同團隊成員諮詢才能完成,以致癌症治療計畫的收集往往不完整或有錯誤,難以作為日後癌症治療的參考。本發明可產生治療計畫書之病人病歷醫療資料整合系統採用視覺化的電子表單,所產生的治療計畫可由多人且分時完成,例如在治療順序1時是由A團隊勾選、治療順序2時是由B團隊勾選、治療順序3時是由C團隊勾選,以避免過去由一人以文章撰寫癌症治療計畫所產生的缺點。藉由本發明可產生治療計畫書之病人病歷醫療資料整合系統所產生的癌症治療計畫也相當準確及完整,可納入日後臨床研究的資料庫中。而在另一實施例中,醫生採取文章式寫法所寫成的治療計畫書,也可經由治療計畫書擬定模組3及治療計畫書輸出模組4產生上述的視覺化電子表單。另外,教科書中所提到的標準治療方案亦可被納入醫療計畫資料庫52及可擴充性之醫療資料收集系統6。In the past, most physicians completed the cancer treatment plan by one person and adopted the writing method. However, cancer treatment needs to consider the combination and sequence of treatment. Therefore, the opinions of multiple team members at different stages must be integrated. If one person wants to complete the cancer treatment plan, It is necessary to enter different medical systems to inquire about information or consult with different team members to complete, so the collection of cancer treatment plans is often incomplete or wrong, and it is difficult to be used as a reference for future cancer treatment. The present invention can generate a treatment plan for the patient's medical record and medical data integration system using a visual electronic form, and the generated treatment plan can be completed by multiple people and time-sharing. Sequence 2 is checked by team B, and treatment sequence 3 is checked by team C, in order to avoid the shortcomings of the past when one person wrote a cancer treatment plan with an article. The cancer treatment plan generated by the patient medical record medical data integration system capable of generating the treatment plan book of the present invention is also quite accurate and complete, and can be incorporated into the database for future clinical research. In another embodiment, the treatment plan written by the doctor using the article-like writing method can also generate the above-mentioned visual electronic form through the treatment plan drafting module 3 and the treatment plan output module 4 . In addition, standard treatment regimens mentioned in textbooks can also be incorporated into the medical plan database 52 and the expandable medical data collection system 6 .

值得一提的是,醫療計畫資料庫52中具有一大數據分析模組523,對多筆的治療計畫書進行分析以提供醫師治療後續類似病症之病人的參考,經分析效果良好之治療計畫書可考慮直接套用至類似病例之新病人。舉例而言,醫生透過醫療計畫資料庫52檢索關於一病症A(圖未示)的治療方案,發現過去曾經使用1-2-4-6順序治療者2筆(成果:治療無效)、1-3-6-7順序治療者27筆(成果: 34%痊癒、66%後遺症)、1-4-2-5-8順序治療者357筆(成果:66.7%痊癒、33.3%後遺症)。藉有以上大數據模組的分析,即使是新手實習醫師也可大大提高其診斷正確率,且資料庫52的經驗也可傳承(以上舉例之治療代號僅為理解本發明而假設,並非真實診斷資料)。It is worth mentioning that the medical plan database 52 has a large data analysis module 523, which analyzes multiple treatment plan books to provide a reference for doctors to treat patients with similar diseases in the follow-up, and the treatment with good effect after analysis. The plan can be considered directly applicable to new patients with similar cases. For example, the doctor searches the medical plan database 52 for a treatment plan for a disease A (not shown), and finds that the 1-2-4-6 sequence has been used for 2 treatments in the past (result: treatment is ineffective), 1 -3-6-7 sequence treatment 27 strokes (result: 34% recovery, 66% sequelae), 1-4-2-5-8 sequence treatment 357 strokes (result: 66.7% cured, 33.3% sequelae). With the analysis of the above big data module, even a novice interns can greatly improve the accuracy of their diagnosis, and the experience of the database 52 can also be passed on (the treatment code in the example above is only an assumption for understanding the present invention, not a real diagnosis material).

請參閱圖4並同時參考圖1,之可產生治療計畫書及整合其病人病歷醫療資料的系統400,本發明復揭露一產生治療計畫書之方法,包含以下步驟:Please refer to FIG. 4 and FIG. 1 at the same time, a system 400 capable of generating a treatment plan and integrating the medical data of the patient's medical records. The present invention further discloses a method for generating a treatment plan, including the following steps:

S001:提供包含一醫療診斷之一病人之病歷醫療資料。S001: Provide medical records of a patient including a medical diagnosis.

S002:判斷病人之病歷醫療資料的醫療診斷是否為初次診斷,其可由前述第一判斷模組17進行判斷。若為初次診斷則進入步驟S003,否則進入步驟S004。S002: Determine whether the medical diagnosis of the patient's medical records and medical data is the initial diagnosis, which can be determined by the aforementioned first determination module 17. If it is the initial diagnosis, go to step S003, otherwise go to step S004.

S003:根據病人之病歷醫療資料的醫療診斷判斷治療目的,以決定要治療方向,可由前述第二判斷模組18判斷。以癌症治療為例,若是針對早期癌症可以治癒為目的進行治療,若是針對晚期癌症則可採減輕病人痛苦方式為主之緩和治療。S003 : Judging the purpose of treatment according to the medical diagnosis of the patient's medical records and medical data, so as to determine the direction to be treated, which can be judged by the aforementioned second judgment module 18 . Taking cancer treatment as an example, if the treatment is aimed at curing early stage cancer, if it is advanced cancer, palliative treatment can be adopted mainly to relieve the pain of the patient.

S004:提供病人之病歷醫療資料至前述之治療計畫書擬定模組3。由前述可知治療計畫書擬定模組3包含複數治療順序S1 , S2 , S3 ……、以及n個不同類別的治療方法分別編號為Tx ,其中n為一等於或大於1之一正整數, T為一等於或大於2之固定正整數,x分別為0 至 n - 1中之一可變正整數。S004: Provide the patient's medical records and medical data to the aforementioned treatment plan drafting module 3. It can be seen from the foregoing that the treatment plan drafting module 3 includes a plurality of treatment sequences S 1 , S 2 , S 3 . A positive integer, T is a fixed positive integer equal to or greater than 2, and x is a variable positive integer from 0 to n - 1, respectively.

S0041:於另一實施方式,醫師不必自行訂醫療計畫書,相對地,醫師可自行自醫療計畫資料庫52下載計畫,該計畫可為已建立之醫療計畫或經系統分析推薦之醫療計畫。S0041: In another embodiment, the physician does not need to order a medical plan by himself. On the contrary, the physician can download the plan from the medical plan database 52, and the plan can be an established medical plan or recommended through system analysis medical plan.

S005:於各治療順序中分別選擇至少一治療方法TxS005: Select at least one treatment method T x in each treatment sequence.

S006:在各治療順序中加總對應之所有治療方法之編號得到至少一個治療代號,以完成針對病人之病歷醫療資料的醫療診斷之治療計畫書,該治療計畫書包含依治療順序排列的至少一個治療代號。S006: Add up the numbers of all the corresponding treatment methods in each treatment sequence to obtain at least one treatment code, so as to complete a treatment plan for medical diagnosis based on the patient's medical records and medical data, the treatment plan includes the treatment plans arranged in the treatment sequence. At least one treatment code.

S007:輸出治療計畫書至醫療計畫資料庫52及/或具可擴充性之醫療資料收集系統6。其中,醫療計畫資料庫52中可具有一大數據分析模組523對多筆的治療計畫書進行分析,以提供醫師治療後續類似病症之病人的參考,經分析效果良好之治療計畫書可考慮直接套用至類似病例之新病人;具可擴充性之醫療資料收集系統6為,例如,中華民國專利第I554969號描述之具可擴充性之醫療資料收集系統。S007 : Output the treatment plan to the medical plan database 52 and/or the expandable medical data collection system 6 . Among them, the medical plan database 52 can have a large data analysis module 523 to analyze multiple treatment plans, so as to provide a reference for doctors to treat patients with similar diseases in the future, and the treatment plans with good results after analysis Direct application to new patients with similar cases can be considered; the scalable medical data collection system 6 is, for example, the scalable medical data collection system described in ROC Patent No. I554969.

S008 ~ S0010:當下一次輸入一病人醫療資料及/或病徵資訊時,可藉由經上述步驟後更加完整之醫療計畫資料庫52及/或具可擴充性之醫療資料收集系統6,再經由一運算治療方法及程序(例如是上述之治療計畫書擬定模組3及治療計畫書輸出模組4的運算),產生建議方案及完整治療計畫書。S008 ~ S0010: The next time a patient's medical data and/or symptom information is input, the more complete medical plan database 52 and/or the expandable medical data collection system 6 can be used after the above steps, and then the A calculation of treatment methods and procedures (for example, the calculation of the above-mentioned treatment plan preparation module 3 and treatment plan output module 4), to generate a suggested plan and a complete treatment plan.

本領域的技藝人士會理解可對前述具體實施例進行改變而不偏離其廣義之發明概念。因此,應明瞭本發明不受限於所揭示之特定具體實施例,而是涵蓋所附申請專利範圍所定義的精神及範圍內之修飾。Those skilled in the art will appreciate that changes may be made to the foregoing specific embodiments without departing from the broad inventive concept thereof. Therefore, it is to be understood that this invention is not limited to the specific embodiments disclosed, but covers modifications within the spirit and scope as defined by the appended claims.

3:治療計畫書擬定模組 4:治療計畫書輸出模組 6:具可擴充性之醫療資料收集系統 61:大數據系統資料庫 62:ETL 17:第一判斷模組 18:第二判斷模組 50:病歷資料庫 52:醫療資料庫 521:數據詞彙控制表 522:數據詮釋參照表 523:大數據分析模組 400:可產生治療計畫書及整合病人病歷醫療資料的系統 S001~S010:步驟3: The treatment plan drafting module 4: Treatment plan book output module 6: Scalable medical data collection system 61: Big Data System Database 62:ETL 17: The first judgment module 18: The second judgment module 50: Medical Record Database 52: Medical Database 521: Data vocabulary control table 522: Data Interpretation Reference Table 523: Big Data Analysis Module 400: A system that can generate treatment plans and integrate medical data from patient medical records S001~S010: Steps

圖1係根據本發明之可產生治療計畫書及整合其病人病歷醫療資料的系統之一具體實施例之一系統架構圖。 圖2係根據本發明之可產生治療計畫書及整合其病人病歷醫療資料的系統之一特定實施例之一系統架構圖。 圖3A和3B係根據本發明之可產生治療計畫書及整合其病人病歷醫療資料的系統之實作示意圖,分別為癌症(3A)和關節炎(3B)之治療計畫。 圖4係根據之可產生治療計畫書及整合其病人病歷醫療資料的方法之一具體實施例之一流程圖。FIG. 1 is a system architecture diagram of a specific embodiment of a system capable of generating a treatment plan and integrating medical data of a patient's medical record according to the present invention. FIG. 2 is a system architecture diagram of a specific embodiment of a system capable of generating a treatment plan and integrating medical data of a patient's medical record according to the present invention. 3A and 3B are schematic diagrams of the implementation of a system for generating a treatment plan and integrating medical data from patient medical records according to the present invention, showing treatment plans for cancer (3A) and arthritis (3B), respectively. FIG. 4 is a flow chart of a specific embodiment of a method according to which a treatment plan can be generated and medical data of a patient's medical record can be integrated.

3:治療計畫書擬定模組3: The treatment plan drafting module

4:治療計畫書輸出模組4: Treatment plan book output module

6:具可擴充性之醫療資料收集系統6: Scalable medical data collection system

17:第一判斷模組17: The first judgment module

18:第二判斷模組18: The second judgment module

51:病歷資料庫51: Medical Record Database

52:醫療計畫資料庫52: Medical Plan Database

400:可產生治療計畫書及整合病人病歷醫療資料的系統400: A system that can generate treatment plans and integrate medical data from patient medical records

Claims (13)

一種可產生治療計畫書及整合其病人病歷醫療資料的系統,其包含:一病歷資料庫,提供至少一病人之病歷醫療資料,其包含至少一醫療診斷;一治療計畫書擬定模組,包含複數個治療順序及n個不同類別的治療方法,該些治療方法分別具有編號TX,其中n為一等於或大於1之一正整數,T為一等於或大於2之固定正整數,x分別為0至n-1中之一可變正整數,各該治療順序對應一或多個該治療方法;一第一判斷模組,用以判斷該醫療診斷是否為一新的診斷;一第二判斷模組,其根據該醫療診斷判斷治療之方法;以及一大數據系統資料庫,該大數據系統資料庫係藉由一萃取/轉置/載入模組連接該醫療計畫資料庫;其中,該治療計畫書擬定模組由該病歷資料庫取得該病人之病歷醫療資料,且加總各該治療順序中對應之該治療方法編號作為其治療代號,以產生一治療計畫書,該治療計畫書包含依其所對應之治療順序排列的至少一個治療代號;其中該大數據系統資料庫包括一人工智慧分析模組。 A system capable of generating a treatment plan and integrating the medical data of the patient's medical records, comprising: a medical record database, which provides the medical data of at least one patient's medical records, including at least one medical diagnosis; a treatment plan drafting module, Including a plurality of treatment sequences and n different types of treatment methods, the treatment methods are respectively numbered T X , wherein n is a positive integer equal to or greater than 1, T is a fixed positive integer equal to or greater than 2, and x are respectively a variable positive integer from 0 to n-1, each of the treatment sequences corresponds to one or more of the treatment methods; a first judging module for judging whether the medical diagnosis is a new diagnosis; a first 2. a judgment module, which judges the method of treatment according to the medical diagnosis; and a big data system database, the big data system database is connected to the medical plan database through an extraction/transposition/load module; Wherein, the treatment plan drafting module obtains the medical records of the patient from the medical record database, and adds up the corresponding treatment method numbers in each treatment sequence as the treatment code to generate a treatment plan, The treatment plan includes at least one treatment code arranged according to its corresponding treatment sequence; wherein the big data system database includes an artificial intelligence analysis module. 如請求項1所述之系統,更包含一治療計畫書輸出模組及一醫療計畫資料庫,該治療計畫書輸出模組係將該治療計畫輸出至該醫療計畫資料庫; 其中該醫療計畫資料庫包括一數據詞彙控制表和一數據詮釋參照表,該數據詞彙控制表具有變動性的醫學詞彙分類,以及該數據詮釋參照表具有詮釋醫療詞彙之資料。 The system according to claim 1, further comprising a treatment plan book output module and a medical plan database, the treatment plan book output module outputs the treatment plan to the medical plan database; The medical planning database includes a data vocabulary control table and a data interpretation reference table, the data vocabulary control table has variable classification of medical vocabulary, and the data interpretation reference table has the information of interpreting medical vocabulary. 如請求項2所述之系統,其中該醫療計畫資料庫中包含一大數據分析模組以對複數個該治療計畫書進行分析。 The system of claim 2, wherein the medical plan database includes a large data analysis module for analyzing a plurality of the treatment plan books. 如請求項1所述之系統,其中各該治療順序包含一治療順序1、一治療順序2...一治療順序m,m屬於正整數,其值可視實際治療情況調整,該治療順序1對應一第一治療代號,該第一治療代號包含至少一個治療方法編號TX之總和,該治療順序2對應一第二治療代號,該第二治療代號包含至少一個治療方法編號TX之總和,該治療順序m對應一第m治療代號,該第m治療代號包含至少一個至離方法編號TX之總合,且該治療計畫書係以第一治療代號-第二治療代號...-第m治療代號呈現。 The system according to claim 1, wherein each treatment sequence includes a treatment sequence 1, a treatment sequence 2... a treatment sequence m, where m is a positive integer, and its value can be adjusted according to the actual treatment situation, and the treatment sequence 1 corresponds to a first treatment code, the first treatment code includes the sum of at least one treatment method number TX , the treatment sequence 2 corresponds to a second treatment code, the second treatment code includes the sum of at least one treatment method number TX , the The treatment sequence m corresponds to an m-th treatment code, the m-th treatment code includes at least a sum of up to and from the method number TX , and the treatment plan is represented by the first treatment code-second treatment code...-th The m treatment code is presented. 如請求項1所述之系統,其中該病人之病歷醫療資料包含癌症資料。 The system of claim 1, wherein the patient's medical record medical data includes cancer data. 如請求項5所述之系統,其中該些治療方法包含全身性治療、放射線治療、手術、化療及荷爾蒙治療。 The system of claim 5, wherein the treatment methods include systemic therapy, radiation therapy, surgery, chemotherapy, and hormonal therapy. 如請求項3所述之系統,其中該數據詞彙控制表所儲存之數字詞彙係選自國際疾病分類標準代碼、手術處置疾病分類代碼、學名藥代碼、觀測指標標識符邏輯命名與編碼系統、健保碼、和其任意之組合所構成之群組。 The system according to claim 3, wherein the digital vocabulary stored in the data vocabulary control table is selected from the International Classification of Diseases Code, the Surgery Treatment Disease Classification Code, the Generic Drug Code, the Observation Index Identifier Logical Naming and Coding System, the Health Insurance A group consisting of codes, and any combination thereof. 一種可產生治療計畫書及整合其病人病歷醫療資料的方法,包含下列步驟: 一第一判斷程序判斷一醫療診斷是否為一新的診斷;一第二判斷程序根據該醫療診斷判斷治療之方法;提供包含該醫療診斷之一病人之病歷醫療資料至一治療計畫書擬定模組,該治療計畫書擬定模組包含複數治療順序以及n個不同類別的治療方法,該些治療方法分別具有編號TX,其中n為一等於或大於1之一正整數,T為一等於或大於2之固定正整數,x分別為0至n-1中之一可變正整數;根據該病人之病歷醫療資料之該醫療診斷於各該治療順序分別選擇至少一該治療方法;形成各該治療順序之一治療代號,其係分別加總各該治療順序所對應之至少一該治療方法之該編號,以產生包含至少一個治療代號依所對應之治療順序排列的一治療計畫書;以及該治療計畫書進一步藉由一萃取/轉置/載入模組,傳輸至一大數據系統資料庫;其中該大數據系統資料庫設置一人工智慧分析模組,用於分析並改善該大數據系統資料庫之管理。 A method for generating a treatment plan and integrating medical data of patients' medical records, comprising the following steps: a first judgment program judges whether a medical diagnosis is a new diagnosis; a second judgment program judges a method of treatment according to the medical diagnosis ;Provide medical data including medical records of a patient of the medical diagnosis to a treatment plan drafting module, the therapy plan drafting module includes a plurality of treatment sequences and n different types of treatment methods, the treatment methods respectively have Number T X , where n is a positive integer equal to or greater than 1, T is a fixed positive integer equal to or greater than 2, and x is a variable positive integer from 0 to n-1, respectively; according to the patient's medical record The medical diagnosis of the medical data selects at least one of the treatment methods in each of the treatment sequences respectively; forms a treatment code for each of the treatment sequences, which is respectively summed up by the numbers of at least one of the treatment methods corresponding to each of the treatment sequences, to generate a treatment plan book including at least one treatment code arranged in the corresponding treatment sequence; and the treatment plan book is further transmitted to a large data system database through an extraction/transposition/loading module; The big data system database is provided with an artificial intelligence analysis module for analyzing and improving the management of the big data system database. 如請求項8所述之方法,其中於該各治療順序分別形成一治療代號後,更包含將該治療計畫輸出至一醫療計畫資料庫;其中該醫療計畫資料庫包括一數據詞彙控制表和一數據詮釋參照表,該數據詞彙控制表具有變動性的醫學詞彙分類,以及該數據詮釋參照表具有詮釋醫療詞彙之資料。 The method of claim 8, wherein after each treatment sequence forms a treatment code, the treatment plan further includes outputting the treatment plan to a medical plan database; wherein the medical plan database includes a data vocabulary control Table and a data interpretive reference table, the data vocabulary control table has variable medical vocabulary classification, and the data interpretation reference table has the information of interpreting medical vocabulary. 如請求項9所述之方法,其中該醫療計畫資料庫中包含一大數據分析模組以對複數個該治療計畫書進行分析。 The method of claim 9, wherein the medical plan database includes a large data analysis module for analyzing a plurality of the treatment plan books. 如請求項8所述之方法,其中各該治療順序包含一治療順序1、一治療順序2...一治療順序m,m屬於正整數,其值可視實際治療情況調整,該治療順序1對應一第一治療代號,該第一治療代號包含至少一個治療方法編號TX之總和,該治療順序2對應一第二治療代號,該第二治療代號包含至少一個治療方法編號TX之總和,該治療順序m對應一第m治療代號,該第m治療代號包含至少一個至離方法編號TX之總合,且該治療計畫書係以第一治療代號-第二治療代號...-第m治療代號呈現。 The method according to claim 8, wherein each treatment sequence includes a treatment sequence 1, a treatment sequence 2... a treatment sequence m, where m is a positive integer, and its value can be adjusted according to the actual treatment situation, and the treatment sequence 1 corresponds to a first treatment code, the first treatment code includes the sum of at least one treatment method number TX , the treatment sequence 2 corresponds to a second treatment code, the second treatment code includes the sum of at least one treatment method number TX , the The treatment sequence m corresponds to an m-th treatment code, the m-th treatment code includes at least a sum of up to and from the method number TX , and the treatment plan is represented by the first treatment code-second treatment code...-th The m treatment code is presented. 如請求項8所述之方法,其中該病人之病歷醫療資料包含癌症資料,且該些治療方法包含放射線治療、化療、手術、全身性治療及荷爾蒙治療。 The method of claim 8, wherein the patient's medical records include cancer data, and the treatment methods include radiation therapy, chemotherapy, surgery, systemic therapy, and hormonal therapy. 如請求項9所述之系統,其中該數據詞彙控制表所儲存之數字詞彙係選自國際疾病分類標準代碼、手術處置疾病分類代碼、學名藥代碼、觀測指標標識符邏輯命名與編碼系統、健保碼、和其任意之組合所構成之群組。The system according to claim 9, wherein the digital vocabulary stored in the data vocabulary control table is selected from the International Classification of Diseases Code, the Surgery Treatment Disease Classification Code, the Generic Drug Code, the Observation Index Identifier Logical Naming and Coding System, the Health Insurance A group consisting of codes, and any combination thereof.
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