发明名称 Automated Mapping of Service Codes in Healthcare Systems
摘要 Mapping of semantics in healthcare may involve accessing first transaction data of a first healthcare entity in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data of a second healthcare entity in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, the second number of fields larger than the first number of fields and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated.
申请公布号 US2015106125(A1) 申请公布日期 2015.04.16
申请号 US201414574475 申请日期 2014.12.18
申请人 Siemens Medical Solutions USA, Inc. 发明人 Farooq Faisal;Rahmanian Farbod;Overhage Marc;Fung Glenn;Yu Shipeng;Rao Bharat R.;Krishnapuram Balaji;DeHaan Jan
分类号 G06F17/27;G06Q50/24 主分类号 G06F17/27
代理机构 代理人
主权项 1. A method for automatic mapping of semantics in healthcare, the method comprising: accessing first transaction data of a first healthcare entity in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information; calculating, by a processor, a first distribution of information in the first transaction data; accessing second transaction data of a second healthcare entity in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, the second number of fields larger than the first number of fields; calculating, by the processor, a second distribution of information in the second transaction data; comparing, by the processor, the first and second distributions with machine learning; and outputting, from the machine learning, a map relating the first number of fields using the first semantic system to information of the set of fields of the second number of fields using the second semantic system, the map being a function of the comparing.
地址 Malvern PA US