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1. WO2020107899 - MEDICAL COST PREDICTION METHOD, DEVICE AND EQUIPMENT, AND COMPUTER-READABLE STORAGE MEDIUM

Publication Number WO/2020/107899
Publication Date 04.06.2020
International Application No. PCT/CN2019/096633
International Filing Date 19.07.2019
IPC
G16H 50/70 2018.01
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
70for mining of medical data, e.g. analysing previous cases of other patients
G06Q 30/02 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
CPC
G06Q 30/0206
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
0202Market predictions or demand forecasting
0206Price or cost determination based on market factors
G16H 50/70
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
70for mining of medical data, e.g. analysing previous cases of other patients
Applicants
  • 平安医疗健康管理股份有限公司 PING AN MEDICAL AND HEALTHCARE MANAGEMENT CO., LTD [CN]/[CN]
Inventors
  • 黄越 HUANG, Yue
  • 陈明东 CHEN, Mingdong
Agents
  • 深圳市世纪恒程知识产权代理事务所 CENFO INTELLECTUAL PROPERTY AGENCY
Priority Data
201811462249.930.11.2018CN
Publication Language Chinese (ZH)
Filing Language Chinese (ZH)
Designated States
Title
(EN) MEDICAL COST PREDICTION METHOD, DEVICE AND EQUIPMENT, AND COMPUTER-READABLE STORAGE MEDIUM
(FR) PROCÉDÉ, DISPOSITIF ET ÉQUIPEMENT DE PRÉDICTION DE COÛT MÉDICAL, ET SUPPORT D'INFORMATIONS LISIBLE PAR ORDINATEUR
(ZH) 医疗费用预测方法、装置、设备及计算机可读存储介质
Abstract
(EN)
Disclosed by the present application are a medical cost prediction method, device and equipment, and a computer-readable storage medium, the method comprising: obtaining multiple pieces of historical visit data, comparing each piece of the historical visit data to a preset identifier one by one, and filtering out multiple pieces of concurrent feature data corresponding to preset chronic disease complications; reading concurrent type information and medication type information in each piece of concurrent feature data, and classifying the each piece of concurrent feature data according to each piece of concurrent type information and medication type information so as to form a correspondence of the each piece of concurrent type information and each piece of medication type information to a medical expense in the each piece of concurrent feature data; and when diagnosis information of a hospitalized patient is received, comparing the diagnosis information to the correspondence, and predicting a target medical expense corresponding to the diagnosis information. In the present solution, a target medical cost for diagnosis information is predicted on the basis of a correspondence formed by big data in a medical institution, and the predicted target medical cost is more accurate and effective.
(FR)
La présente invention concerne un procédé, un dispositif et un équipement de prédiction de coût médical, et un support d'informations lisible par ordinateur, le procédé consistant à : obtenir de multiples éléments de données de visites historiques, comparer chaque élément des données de visites historiques à un identifiant prédéfini un par un, et filtrer de multiples éléments de données de caractéristiques simultanées correspondant à des complications de maladie chronique préétablies ; lire des informations de type simultané et des informations de type médicament dans chaque élément de données de caractéristiques simultanées, et classer chaque élément de données de caractéristiques simultanées en fonction de chaque élément d'informations de type simultané et d'informations de type médicament de façon à former une correspondance de chaque élément d'informations de type simultané et de chaque élément d'informations de type médicament vis-à-vis d'une dépense médicale dans chaque élément de données de caractéristiques simultanées ; et lorsque des informations de diagnostic d'un patient hospitalisé sont reçues, comparer les informations de diagnostic à la correspondance, et prédire une dépense médicale cible correspondant aux informations de diagnostic. Selon la présente solution, un coût médical cible pour des informations de diagnostic est prédit sur la base d'une correspondance formée par de grandes données dans une institution médicale, et le coût médical cible prédit est plus précis et effectif
(ZH)
本申请公开一种医疗费用预测方法、装置、设备及计算机可读存储介质,所述方法包括:获取多份历史就诊数据,并将各份历史就诊数据逐一和预设标识符对比,筛选出与预设慢性病并发症对应的多份并发特征数据;读取各份并发特征数据中的并发类型信息以及用药类型信息,并根据各并发类型信息和用药类型信息,对各份并发特征数据进行分类,形成各并发类型信息以及各用药类型信息与各份并发特征数据中医疗费用的对应关系;当接收到就诊患者的诊断信息时,将诊断信息和对应关系对比,对与诊断信息对应的目标医疗费用进行预测。本方案基于医疗机构中大数据所形成的对应关系,对诊断信息的目标医疗费用进行预测,所预测的目标医疗费用更为准确有效。
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