TWM574295U - Claim expense auditing device - Google Patents

Claim expense auditing device Download PDF

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Publication number
TWM574295U
TWM574295U TW107215221U TW107215221U TWM574295U TW M574295 U TWM574295 U TW M574295U TW 107215221 U TW107215221 U TW 107215221U TW 107215221 U TW107215221 U TW 107215221U TW M574295 U TWM574295 U TW M574295U
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data
type
amount
request
processor
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TW107215221U
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Chinese (zh)
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何英蘭
葉日進
蔡世賢
詹筱蕙
周敬翔
王順民
林長志
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新光產物保險股份有限公司
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Priority to TW107215221U priority Critical patent/TWM574295U/en
Publication of TWM574295U publication Critical patent/TWM574295U/en

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Abstract

The present disclosure provides a claim expense auditing device. The claim expense auditing device includes an insurance database and a processor, the processor is coupled to the insurance database. The insurance database is configured to store a past claim data, the past claim data includes a claim type and a claim expense corresponding to the claim type. The processor is configured to receive a claim request, read the past claim data in the insurance database to determine whether the claim type of the claim request exists or not, and when the claim type of the claim request exists, the processor retrieves the claim expense corresponding to the claim type.

Description

理賠審核裝置 Claim review device

本揭示文件係有關於一種審核裝置,且特別是有關於一種理賠之審核裝置。 The present disclosure relates to an auditing device and, more particularly, to an auditing device for claims.

人類的生活品質與身體健康息息相關,一旦身體遭受傷害,後續的醫療費用往往遠超過當事人的負擔,因此人類社會中具有互助概念的保險制度便隨之而生。基於每個人的生活與經驗不同,保險商品的種類也相當繁多,不同的商品種類各有不同型別的理賠制度。 The quality of life of human beings is closely related to physical health. Once the body is harmed, the subsequent medical expenses often far exceed the burden of the parties. Therefore, the insurance system with mutual help concept in human society will follow. Different types of insurance products are also available based on the life and experience of each individual. Different types of goods have different types of claims systems.

保戶在遭受傷害或困難時,可透過與保險公司的契約來申請理賠。然而,保戶往往在最需要幫助以及最忙不過身的時候,卻遲遲無法領受需要的賠償金,因此,對於保險公司而言,現有的理賠程序相當冗長,而亟需提出改善的方法,以更好地發揮保險的功能。 When a policyholder is injured or has difficulty, he can apply for a claim through a contract with an insurance company. However, when the policyholders are most in need of help and the busiest, they are unable to receive the required compensation. Therefore, for insurance companies, the existing claims procedures are quite lengthy and there is an urgent need to propose improvements. To better play the role of insurance.

根據本揭示文件之一實施例,揭示一種理賠審核裝置。理賠審核裝置包含保險資料庫以及處理器,其中處理器耦接此保險資料庫。上述保險資料庫用來儲存歷史理賠資料, 此歷史理賠資料包含理賠類型以及對應於理賠類型之理賠金額。處理器用以接收理賠請求,讀取保險資料庫之歷史理賠資料,以判斷理賠請求是否具有所屬之理賠類型,以及,若處理器判斷理賠請求具有所屬之理賠類型,則取得對應於理賠類型之理賠金額,其中,此理賠金額為歷史理賠資料中的已受理賠償金額。 According to one embodiment of the present disclosure, a claims review apparatus is disclosed. The claims review device includes an insurance database and a processor, wherein the processor is coupled to the insurance database. The above insurance database is used to store historical claims data. This historical claim data contains the type of claim and the amount of the claim corresponding to the type of claim. The processor is configured to receive the claim request, read the historical claim data of the insurance database, to determine whether the claim request has the type of claim, and if the processor determines that the claim has the claim type, the claim corresponding to the claim type is obtained. The amount, where the claim amount is the amount of compensation received in the historical claims data.

根據另一實施例,揭示一種理賠審核方法,適用於理賠審核裝置,其中此理賠審核裝置包含保險資料庫以及處理器。保險資料庫中儲存有歷史理賠資料,歷史理賠資料包含理賠類型以及對應於理賠類型之理賠金額。上述理賠審核方法包含以下步驟:接收理賠請求,讀取保險資料庫之歷史理賠資料,以判斷理賠請求是否具有所屬之理賠類型,以及,若判斷理賠請求具有所屬之理賠類型,則取得對應於理賠類型之理賠金額,其中理賠金額為歷史理賠資料中的已受理賠償金額。 According to another embodiment, a claim review method is disclosed for use in a claim review apparatus, wherein the claim review apparatus includes an insurance database and a processor. The historical claim data is stored in the insurance database, and the historical claims data includes the type of claim and the amount of the claim corresponding to the type of claim. The above claim review method comprises the steps of: receiving a claim request, reading a historical claim data of the insurance database, determining whether the claim request has a claim type, and, if the claim claim has a claim type, obtaining the claim corresponding to the claim The type of claim amount, where the claim amount is the amount of compensation received in the historical claim data.

為讓本揭示內容之上述和其他目的、特徵、優點與實施例能更明顯易懂,所附符號之說明如下: The above and other objects, features, advantages and embodiments of the present disclosure will become more apparent and understood.

100‧‧‧理賠審核裝置 100‧‧‧ Claims review device

110‧‧‧處理器 110‧‧‧ processor

120‧‧‧保險資料庫 120‧‧‧Insurance database

300‧‧‧區塊鏈資料庫 300‧‧‧blockchain database

S210~S280‧‧‧步驟 S210~S280‧‧‧Steps

以下詳細描述結合隨附圖式閱讀時,將有利於較佳地理解本揭示文件之態樣。應注意,根據說明上實務的需求,圖式中各特徵並不一定按比例繪製。實際上,出於論述清晰之目的,可能任意增加或減小各特徵之尺寸。 The detailed description below will be readily appreciated by reference to the accompanying drawings. It should be noted that the various features in the drawings are not necessarily drawn to scale. In fact, the dimensions of the features may be arbitrarily increased or decreased for clarity of discussion.

第1圖繪示根據本揭示文件一些實施例中一種理賠審核裝置之功能方塊示意圖。 FIG. 1 is a block diagram showing the function of a claim review apparatus according to some embodiments of the present disclosure.

第2圖繪示根據本揭示文件一些實施例中理賠審核裝置用以執行之理賠審核方法之步驟流程圖。 FIG. 2 is a flow chart showing the steps of a claim review method performed by the claims review apparatus according to some embodiments of the present disclosure.

以下揭示內容提供許多不同實施例或實例,以便實施本創作之不同特徵。下文描述元件及排列之特定實例以簡化本創作。當然,該等實例僅為示例性且並不欲為限制性。舉例而言,以下描述中在第二特徵上方或第二特徵上形成第一特徵可包括以直接接觸形成第一特徵及第二特徵的實施例,且亦可包括可在第一特徵與第二特徵之間形成額外特徵使得第一特徵及特徵可不處於直接接觸的實施例。 The following disclosure provides many different embodiments or examples in order to implement various features of the present invention. Specific examples of components and permutations are described below to simplify the creation. Of course, the examples are merely exemplary and are not intended to be limiting. For example, forming the first feature over the second feature or the second feature in the following description may include forming the first feature and the second feature in direct contact, and may also include the first feature and the second feature Additional features are formed between the features such that the first features and features may not be in direct contact.

請參閱第1圖,其繪示根據本揭示文件一些實施例中一種理賠審核裝置100之功能方塊示意圖。如第1圖所示,理賠審核裝置100包含處理器110以及保險資料庫120。處理器110耦接於保險資料庫120,以隨時存取保險資料庫120中的資料。保險資料庫120中儲存著所有保戶歷史理賠資料,例如保險公司過去曾經受理之所有保戶的理賠送件資料。前述之理賠送件資料包含但不限於以下種類:意外傷害險、火災險、醫療險、壽險以及車險等。 Please refer to FIG. 1 , which is a functional block diagram of a claim review apparatus 100 in accordance with some embodiments of the present disclosure. As shown in FIG. 1, the claims review apparatus 100 includes a processor 110 and an insurance database 120. The processor 110 is coupled to the insurance database 120 to access the data in the insurance database 120 at any time. The insurance database 120 stores all the policy information of the policyholders, such as the claims delivery information of all the policyholders that the insurance company has accepted in the past. The foregoing claims delivery information includes but is not limited to the following categories: accidental injury insurance, fire insurance, medical insurance, life insurance, and auto insurance.

前述之歷史理賠資料包含理賠類型以及對應於理賠類型之理賠金額。舉例來說,保戶可能意外撞傷下巴而導致牙齒斷裂,各受傷牙齒部位或受傷類型有不同之理賠金額,例如大門牙斷裂之理賠金額為4000元,小臼齒碎裂之理賠金額為3000元。另一範例來說,保戶可能事故意外撞傷而導致手部骨折,其中手指部位骨折之理賠金額為2000元,手肘部位骨折之理賠金額為8000元。因此,處理器110在判斷理賠請求 是否符合契約條款之理賠條件時,會存取保險資料庫120中的歷史理賠資料,根據曾經受理過的案件資料,例如曾經受理過的理賠案件以及賠償過的理賠金,以作出進一步的自動理賠或人工理賠之決定。 The aforementioned historical claims data includes the type of claim and the amount of the claim corresponding to the type of claim. For example, the policyholder may accidentally hit the chin and cause the teeth to break. There are different claims for each injured tooth or injury type. For example, the amount of the claim for the large incisors is 4,000 yuan, and the amount of the small molars is 3,000 yuan. . In another example, the policyholder may accidentally bruise and cause a hand fracture. The amount of the claim for the fracture of the finger is 2,000 yuan, and the amount of the fracture of the elbow is 8,000 yuan. Therefore, the processor 110 is determining the claim request Whether the claim conditions of the contract terms are met, the historical claims data in the insurance database 120 is accessed, and according to the case data that has been accepted, such as the claims cases that have been accepted and the compensated claims, further automatic claims are made. Or the decision of a manual claim.

請復參閱第1圖,理賠審核裝置100之處理器110與保險資料庫120分別通訊連接於區塊鏈資料庫300。區塊鏈資料庫300可以為與外部機構分享或交換取得的資料庫。區塊鏈資料庫300係儲存有關於其他保戶的參考病理資料以及對應於參考病理資料之參考金額。舉例來說,在區塊鏈資料庫300中有關於牙齒部位的受傷與理賠記錄,包含大門牙斷裂之理賠金額為3500元,小臼齒斷裂之理賠金額為2000元等資料。理賠審核裝置100參考區塊鏈資料庫300之詳細內容將說明如後。 Referring to FIG. 1 , the processor 110 of the claims review apparatus 100 and the insurance database 120 are separately connected to the blockchain database 300. The blockchain database 300 can be used to share or exchange acquired databases with external agencies. The blockchain database 300 stores reference pathological data about other policyholders and a reference amount corresponding to the reference pathology data. For example, in the blockchain database 300, there are records of injuries and claims regarding the tooth parts, including the amount of the claim for the large incisors fracture being 3,500 yuan, and the amount of the claim for the small caries fracture being 2,000 yuan. The details of the claim review apparatus 100 with reference to the blockchain database 300 will be described later.

在部分實施例中,理賠審核裝置100會對於所有相關的文件資料(例如理賠送件資料、外部參考資料等)進行數位化處理。舉例來說,理賠送件資料或區塊鏈資料等文件資料可能是原始的紙本文件,首先需要對此些文件作掃描而產生數位圖檔,再對此些圖檔進行光學字元識別(Optical Character Recognition,OCR),以獲得對應的文字檔案。此些文字檔案再經過文字詞彙識別,以分割出可用於理賠審核裝置100之資料欄位。在理賠審核過程中,所有理賠送件資料會在經過數位化處理以及資料欄位分割之後,被儲存於保險資料庫120中。保險資料庫120中的各個歷史理賠資料包含但不限於以下資料欄位:理賠類型、理賠金額、理賠結果等。其中, 歷史理賠資料具有對應的病理檢查資料,例如X光片、超音波圖像等。因此,理賠審核裝置100會讀取保險資料庫120中的歷史理賠資料以及病理檢查資料,以判斷理賠送件資料是否符合理賠條件。 In some embodiments, the claims review apparatus 100 digitizes all relevant documents (eg, claims delivery materials, external references, etc.). For example, documents such as claims delivery data or blockchain data may be original paper documents. First, these files need to be scanned to generate digital image files, and optical characters are recognized for these images ( Optical Character Recognition (OCR) to obtain the corresponding text file. These text files are then identified by text vocabulary to segment the data fields available for the claims review device 100. During the claims review process, all claims delivery data will be stored in the insurance database 120 after digitization and data field segmentation. Each historical claim data in the insurance database 120 includes, but is not limited to, the following data fields: claim type, claim amount, claim result, and the like. among them, The historical claims data has corresponding pathological examination data, such as X-ray films, ultrasonic images, and the like. Therefore, the claim review apparatus 100 reads the historical claims data and the pathological check data in the insurance database 120 to determine whether the claims delivery data meets the claim conditions.

請參閱第2圖,其繪示根據本揭示文件一些實施例中理賠審核裝置100用以執行之理賠審核方法之步驟流程圖。為更清楚陳述理賠審核方法的步驟,以下說明請同時參閱第1圖以及第2圖。 Please refer to FIG. 2, which is a flow chart showing the steps of the claim review method used by the claims review apparatus 100 in accordance with some embodiments of the present disclosure. In order to clarify the steps of the claim review method, please refer to Figure 1 and Figure 2 for the following instructions.

如第2圖所示,在步驟S210中,理賠審核裝置100接收到一理賠請求。此理賠請求可以為前述之保戶的理賠送件資料。接著,在步驟S220中,處理器110進行是否屬於自動理賠案件之判斷。處理器110會讀取保險資料庫120中的歷史理賠資料,其中歷史理賠資料包含理賠類型以及對應於理賠類型之理賠金額。歷史理賠資料以及其資料欄位之內容例如為以下資料:「理賠類型:大門牙斷裂、理賠金額:4000元;理賠結果:是」。「理賠類型:小臼齒斷裂、理賠金額:3000元、理賠結果:是」。「理賠類型:手肘部位骨折、理賠金額:8000元、理賠結果:否」。 As shown in FIG. 2, in step S210, the claims review apparatus 100 receives a claim request. This claim may be sent to the claim of the aforementioned policyholder. Next, in step S220, the processor 110 determines whether it belongs to the automatic claim case. The processor 110 reads the historical claim data in the insurance database 120, wherein the historical claims data includes the claim type and the claim amount corresponding to the claim type. The historical claims data and the contents of its data fields are, for example, the following information: "Types of claims: large front teeth break, claim amount: 4000 yuan; claim result: yes". "Type of claim: small molar fracture, claim amount: 3000 yuan, claim result: yes." "Type of claim: fracture of the elbow, the amount of the claim: 8,000 yuan, the result of the claim: no."

接著,在步驟S230中,處理器110判斷理賠請求是否具有所屬之理賠類型。在一範例中,處理器110會讀取理賠送件資料之資料欄位,而獲得理賠請求之病歷文字資料。舉例來說,處理器110解析出病歷文字資料為「小臼齒斷裂」,而以此病歷文字資料與歷史理賠資料進行文字內容的比對。於此範例中,處理器110依據病歷文字資料之「小臼齒斷裂」, 於保險資料庫120中搜尋到符合理賠請求之歷史理賠資料「小臼齒斷裂」,因此於步驟S240中,處理器110取得對應於此理賠類型「小臼齒斷裂」之理賠金額為「3000元」。在另一範例中,若理賠請求之病歷文字資料為「腳踝扭傷」,由於保險資料庫120中並未記錄有關於腳踝扭傷之歷史理賠資料,因此執行步驟S250,處理器110會註記對應此理賠請求之理賠案件為非自動理賠案件。據此,此理賠案件將會被分配為人工審核,後續將由理賠人員來判斷此案件應為理賠或拒賠。 Next, in step S230, the processor 110 determines whether the claim request has the associated claim type. In an example, the processor 110 reads the data field of the claim delivery data and obtains the medical record text of the claim request. For example, the processor 110 parses the medical record text data into a "small molar tooth break", and compares the textual content of the medical record with the historical claim data. In this example, the processor 110 is based on the "small molar fracture" of the medical text data. The insurance claim database 120 searches for the historical claim data "small caries break" that meets the claim request. Therefore, in step S240, the processor 110 obtains the claim amount corresponding to the claim type "small caries break" to "3000 yuan". In another example, if the medical record text of the claim request is “ankle sprain”, since the historical claim data about the ankle sprain is not recorded in the insurance database 120, step S250 is executed, and the processor 110 notes the corresponding claim. The claimed claim case is a non-automatic claim case. Accordingly, the claim case will be assigned to a manual review, and the claimant will later determine that the case should be a claim or a refusal.

於步驟S230的另一實施例中,處理器110會讀取理賠送件資料之其他相關資料,而獲得理賠請求之病理圖像資料(不以此為限)。舉例來說,處理器110判斷理賠請求中之附隨的病理圖像資料為小臼齒有斷裂之X光片圖像。處理器110透過影像識別技術結合人工智慧演算法,依據病理圖像資料中小臼齒斷裂的對應特徵,在保險資料庫120解析及比對相關類似的影像。保險資料庫120若已理賠過附有小臼齒斷裂之X光片圖像的理賠案件,則可取得此次X光片的受傷資訊,獲知此X光片屬於小臼齒斷裂之理賠類型。 In another embodiment of step S230, the processor 110 reads the other relevant information of the claim delivery data, and obtains the pathological image data of the claim request (not limited thereto). For example, the processor 110 determines that the accompanying pathological image data in the claim request is an X-ray image with a broken caries. The processor 110 combines the artificial intelligence algorithm with the image recognition technology to analyze and compare related images in the insurance database 120 according to the corresponding features of the small caries fracture in the pathological image data. If the insurance database 120 has claimed a claim case with an X-ray image of a small caries fracture, the injury information of the X-ray film can be obtained, and it is known that the X-ray film belongs to the claim type of the small caries fracture.

在步驟S240中,處理器110取得理賠金額之後,接著執行步驟S260,處理器110判斷此理賠金額是否小於一門檻值。此門檻值可以為預先設定的數值,舉例來說,門檻值可以為5000,代表理賠金額在5000元以下屬於理賠審核裝置100可以處理的小額自動理賠。在此步驟中,若判斷理賠金額大於門檻值,則代表此理賠請求可能涉及金額較高的理賠,則需要以人工來審核,因此回到步驟S250,處理器110將對應此理賠 請求之理賠案件註記為非自動理賠案件。 In step S240, after the processor 110 obtains the claim amount, the process proceeds to step S260, and the processor 110 determines whether the claim amount is less than a threshold. The threshold value may be a preset value. For example, the threshold value may be 5000, and the claim amount is less than 5,000 yuan, which belongs to the small automatic claim that the claim review apparatus 100 can handle. In this step, if it is determined that the claim amount is greater than the threshold value, the claims claim may involve a higher amount of claims, and the manual needs to be reviewed. Therefore, the process returns to step S250, and the processor 110 will respond to the claim. The claimed claims are noted as non-automatic claims.

在前述步驟S260中,若理賠金額3000元時,小於門檻值之5000,則接著執行步驟S270,處理器110輸出對應於理賠類型之理賠金額,以回應於前述之理賠請求。舉例來說,理賠審核裝置100已取得本次的理賠請求為「小臼齒斷裂」,並且可以理賠的金額為「3000元」,已確認本次的理賠請求為符合理賠條件,並且屬於自動理賠案件。因此,理賠審核裝置100可將此理賠金額匯款至理賠請求者的對應銀行帳戶,使保戶可直接取得理賠金。 In the foregoing step S260, if the claim amount is 3,000 yuan, which is less than 5000 of the threshold value, then step S270 is performed, and the processor 110 outputs the claim amount corresponding to the claim type in response to the aforementioned claim request. For example, the claim review apparatus 100 has obtained the claim for this time as "small caries break", and the amount that can be claimed is "3000 yuan". It has been confirmed that the claim for claim is in accordance with the claim condition and belongs to the automatic claim case. . Therefore, the claim review apparatus 100 can remit the claim amount to the corresponding bank account of the claim requester, so that the policyholder can directly obtain the claim.

接著,在步驟S280中,處理器110將前述的理賠請求以及對應的理賠金額,儲存至保險資料庫120,將此筆新增的歷史資料新增為歷史理賠資料,使得理賠審核裝置100在處理下一次的理賠請求的審核,會考慮此筆歷史資料。舉例來說,此筆理賠請求的處理結果,將理賠請求相關的病歷文字資料以及病理圖像資料等資料(不以此為限),記錄於保險資料庫120中,並且統計該理賠類型已經自動理賠的次數,以作為理賠審核裝置100下一次自動理賠參考的依據。 Next, in step S280, the processor 110 stores the foregoing claim request and the corresponding claim amount in the insurance database 120, and adds the newly added historical data to the historical claim data, so that the claim review device 100 is processing This historical data will be considered for the review of the next claim. For example, the processing result of the claim request, the medical record text data related to the claim request and the pathological image data (not limited thereto) are recorded in the insurance database 120, and the claim type is automatically calculated. The number of claims is used as the basis for the next automatic claims reference of the claims review device 100.

另一方面,在執行完步驟S240而取得理賠金額後,理賠審核裝置100會參考區塊鏈資料庫300之記錄資料,來修正前述取得的理賠金額。區塊鏈資料庫300儲存有參考病理資料,以及對應於參考病理資料的參考金額。參考病理資料可以為「大門牙斷裂」及其對應之參考金額「3500元」、「小臼齒斷裂」及其對應之參考金額「2000元」。在處理器110判斷理賠請求「小臼齒斷裂」,係符合參考病理資料之「小臼齒 斷裂」,因此可獲得對應之參考金額為「2000元」。由於前述取得的小臼齒斷裂會理賠3000元,但基於區塊鏈資料庫300的參考資料,處理器110會再行計算前述的理賠金額以及後來取得的參考金額之平均值,以獲得平均金額之2500元。因此,處理器110以此平均金額作為此次理賠請求的回應,即保戶最終獲得的理賠金額為2500元。 On the other hand, after the execution of the step S240 and the acquisition of the claim amount, the claim review apparatus 100 refers to the record data of the blockchain database 300 to correct the acquired claim amount. The blockchain database 300 stores reference pathological data and a reference amount corresponding to the reference pathological data. The reference pathological data may be "large front teeth fracture" and its corresponding reference amount "3500 yuan", "small molar tooth fracture" and its corresponding reference amount "2000 yuan". The processor 110 determines that the claim request "small molar fracture" is in accordance with the reference pathological data of "small molars". "Fracture", so the corresponding reference amount is "2000 yuan". Since the small tooth decay obtained in the foregoing will pay 3,000 yuan, based on the reference data of the blockchain database 300, the processor 110 will calculate the average amount of the aforementioned claims and the reference amount obtained later to obtain the average amount. 2,500 yuan. Therefore, the processor 110 uses the average amount as the response to the claim, that is, the claimant finally obtains a claim amount of 2,500 yuan.

綜上所述,本揭示文件之理賠審核裝置100及其執行的理賠審核方法提供自動化之小額保險理賠機制,使用人工智慧演算法來判斷理賠請求之資料係符合何種理賠類型,並且經由建置的資料庫的內容來獲得對應的理賠金額。據此,可縮短保戶申請理賠金的時程,並且可讓保險公司的理賠人員專注於其他較高金額理賠、和解或訴訟等爭議案件。此外,透過保險資料庫120與區塊鏈資料庫300的記錄資料,可以判斷理賠請求為正常或異常之要求,經由歷史理賠資料來判斷理賠是否合理,據以降低理賠的道德風險。 In summary, the claim review apparatus 100 of the present disclosure and the claim review method thereof provide an automated micro-insurance claim mechanism, and use the artificial intelligence algorithm to determine the type of claims that the claim request data conforms to, and The contents of the database to obtain the corresponding claim amount. Accordingly, the time course for the policyholder to apply for the claim can be shortened, and the claimant of the insurance company can focus on other disputed cases such as higher claims, settlements or litigation. In addition, through the records of the insurance database 120 and the blockchain database 300, it is possible to determine whether the claims are normal or abnormal, and to determine whether the claims are reasonable through historical claims data, thereby reducing the moral hazard of the claims.

上文概述若干實施例之特徵,使得熟習此項技術者可更好地理解本創作之態樣。熟習此項技術者應瞭解,可輕易使用本創作作為設計或修改其他製程及結構的基礎,以便實施本文所介紹之實施例的相同目的及/或實現相同優勢。熟習此項技術者亦應認識到,此類等效結構並未脫離本創作之精神及範疇,且可在不脫離本創作之精神及範疇的情況下產生本文的各種變化、替代及更改。 The features of several embodiments are summarized above so that those skilled in the art can better understand the aspects of the present invention. Those skilled in the art will appreciate that the present invention can be readily utilized as a basis for designing or modifying other processes and structures to achieve the same objectives and/or achieve the same advantages of the embodiments described herein. It will be appreciated by those skilled in the art that such equivalent constructions are not departing from the spirit and scope of the present invention, and various changes, substitutions and alterations herein may be made without departing from the spirit and scope of the invention.

Claims (5)

一種理賠審核裝置,包含:一保險資料庫,用以儲存一歷史理賠資料,其中該歷史理賠資料包含一理賠類型以及對應該理賠類型之一理賠金額;以及一處理器,耦接該保險資料庫,其中該處理器用以:接收一理賠請求;讀取該保險資料庫之該歷史理賠資料,以判斷該理賠請求是否具有所屬之該理賠類型;以及若判斷該理賠請求具有所屬之該理賠類型,則取得對應該理賠類型之該理賠金額。 A claim review apparatus includes: an insurance database for storing a historical claim data, wherein the historical claims data includes a claim type and a claim amount corresponding to one of the claim types; and a processor coupled to the insurance database The processor is configured to: receive a claim request; read the historical claim data of the insurance database to determine whether the claim request has the claim type; and if it is determined that the claim request has the claim type, Then the amount of the claim corresponding to the type of claim is obtained. 如請求項1所述之理賠審核裝置,其中該理賠請求包含一病理圖像資料,該處理器還用以:讀取該保險資料庫之該歷史理賠資料,以對該病理圖像資料執行一人工智慧演算法,以判斷該理賠請求是否具有所屬之該理賠類型;於判斷該理賠請求具有所屬之該理賠類型時,輸出對應於該理賠類型之該理賠金額,以及將該病理圖像資料與對應輸出之該理賠金額,儲存於該保險資料庫;以及於該理賠請求不具有所屬之該理賠類型時,註記對應該理賠請求之一理賠案件為一非自動理賠案件。 The claim review device of claim 1, wherein the claim request includes a pathological image data, the processor is further configured to: read the historical claim data of the insurance database to perform a process on the pathological image data An artificial intelligence algorithm to determine whether the claim request has the claim type; when determining that the claim request has the claim type, the claim amount corresponding to the claim type is output, and the pathological image data is The claim amount corresponding to the output is stored in the insurance database; and when the claim request does not have the claim type, the note claiming one of the claim claims is a non-automatic claim case. 如請求項1所述之理賠審核裝置,其中該理賠請求包含一病歷文字資料,該處理器還用以: 讀取該保險資料庫之該歷史理賠資料,以對該病歷文字資料與該歷史理賠資料進行文字內容之比對,以判斷該理賠請求是否具有所屬之該理賠類型;於判斷該理賠請求具有所屬之該理賠類型時,輸出對應於該理賠類型之該理賠金額,以及將該病歷文字資料與對應輸出之該理賠金額,儲存於該保險資料庫;以及於判斷該理賠請求不具有所屬之該理賠類型時,註記對應該理賠請求之一理賠案件為一非自動理賠案件。 The claim review device of claim 1, wherein the claim request includes a medical record text, the processor is further configured to: Reading the historical claim data of the insurance database to compare the medical text of the medical record with the historical claim data to determine whether the claim request has the claim type; and determining that the claim has a claim In the claim type, outputting the claim amount corresponding to the claim type, and storing the medical record text and the corresponding output of the claim amount in the insurance database; and determining that the claim request does not have the claim When type, note that one of the claim claims is a non-automatic claim case. 如請求項1所述之理賠審核裝置,其中該處理器通訊連接於一區塊鏈資料庫,該處理器還用以:讀取該區塊鏈資料庫中符合該理賠請求之一參考病理資料,以獲得對應該參考病理資料之一參考金額;以及計算該理賠金額以及該參考金額之一平均金額,以作為該理賠請求之回應。 The claims review device of claim 1, wherein the processor is communicatively coupled to a blockchain database, and the processor is further configured to: read the reference data of the blockchain database that meets the claim request To obtain a reference amount corresponding to one of the pathological materials; and calculate the amount of the claim and an average amount of the reference amount as a response to the claim. 如請求項1所述之理賠審核裝置,其中該處理器還用以:當判斷該理賠金額小於一門檻值時,輸出對應該理賠請求之該理賠金額;以及當判斷該理賠金額大於該門檻值時,將對應該理賠請求之一理賠案件註記為一非自動理賠案件。 The claim review device of claim 1, wherein the processor is further configured to: when determining that the claim amount is less than a threshold, output the claim amount corresponding to the claim request; and when determining that the claim amount is greater than the threshold At the time, a claim case for a claims claim is noted as a non-automatic claim case.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111539834A (en) * 2020-04-21 2020-08-14 慧择保险经纪有限公司 Pre-check method and device
TWI720596B (en) * 2018-11-23 2021-03-01 開曼群島商創新先進技術有限公司 Block chain certificate deposit method, device and computer equipment
US11210743B2 (en) 2019-04-23 2021-12-28 Advanced New Technologies Co., Ltd. Blockchain-based data processing system, method, computing device and storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI720596B (en) * 2018-11-23 2021-03-01 開曼群島商創新先進技術有限公司 Block chain certificate deposit method, device and computer equipment
US11210743B2 (en) 2019-04-23 2021-12-28 Advanced New Technologies Co., Ltd. Blockchain-based data processing system, method, computing device and storage medium
CN111539834A (en) * 2020-04-21 2020-08-14 慧择保险经纪有限公司 Pre-check method and device

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