专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08560346B2 System and method for ranking quality improvement factors in patient care 有权
标题翻译：评估患者护理质量改善因素的系统和方法
公开(公告)号：US08560346B2
公开(公告)日：2013-10-15
申请号：US12634878
申请日：2009-12-10
申请人： Markus Bundschus , Balaji Krishnapuram , Farbod Rahmanian , R. Bharat Rao , Romer E. Rosales , Shipeng Yu
发明人： Markus Bundschus , Balaji Krishnapuram , Farbod Rahmanian , R. Bharat Rao , Romer E. Rosales , Shipeng Yu
IPC分类号： G06Q50/00 , G06Q10/00
CPC分类号： G06Q10/00 , G06F19/00 , G06Q10/06398 , G06Q30/02 , G06Q30/0282 , G06Q50/22 , G06Q50/24
摘要： Quality improvement factors in patient care are ranked. Hospital performance is measured, such as a CMS measure. The variables and/or values relative contribution to quality of care is determined using medical records of the hospital. The variables and/or values are ranked according influence of the quality of care result. The ranking is performed by a given medical institution at a desired time rather than based on a broad study. The medical institution may regularly determine variables (e.g., admitting doctor) and/or values (e.g., doctor X) that are relevant to a decreased quality of care. Quality may be regularly improved using a software product.
摘要翻译：患者护理中的质量改善因素排名。测量医院的表现，如CMS测量。使用医院的医疗记录确定对护理质量的相关贡献的变量和/或值。根据护理质量的影响，变量和/或值被排列。排名由特定医疗机构在所需时间进行，而不是基于广泛的研究。医疗机构可以定期确定与减少的护理质量相关的变量（例如，承认医生）和/或值（例如，医生X）。使用软件产品可以定期提高质量。

2. 发明申请

US20100174557A1 System and Method for Ranking Quality Improvement Factors in Patient Care 有权
标题翻译：用于评估患者护理中质量改善因素的系统和方法
公开(公告)号：US20100174557A1
公开(公告)日：2010-07-08
申请号：US12634878
申请日：2009-12-10
申请人： Markus Bundschus , Balaji Krishnapuram , Farbod Rahmanian , R. Bharat Rao , Romer E. Rasales , Shipeng Yu
发明人： Markus Bundschus , Balaji Krishnapuram , Farbod Rahmanian , R. Bharat Rao , Romer E. Rasales , Shipeng Yu
IPC分类号： G06Q10/00 , G06Q50/00 , G06Q99/00
CPC分类号： G06Q10/00 , G06F19/00 , G06Q10/06398 , G06Q30/02 , G06Q30/0282 , G06Q50/22 , G06Q50/24
摘要： Quality improvement factors in patient care are ranked. Hospital performance is measured, such as a CMS measure. The variables and/or values relative contribution to quality of care is determined using medical records of the hospital. The variables and/or values are ranked according influence of the quality of care result. The ranking is performed by a given medical institution at a desired time rather than based on a broad study. The medical institution may regularly determine variables (e.g., admitting doctor) and/or values (e.g., doctor X) that are relevant to a decreased quality of care. Quality may be regularly improved using a software product.
摘要翻译：患者护理中的质量改善因素排名。测量医院的表现，如CMS测量。使用医院的医疗记录确定对护理质量的相关贡献的变量和/或值。根据护理质量的影响，变量和/或值被排列。排名由特定医疗机构在所需时间进行，而不是基于广泛的研究。医疗机构可以定期确定与减少的护理质量相关的变量（例如，承认医生）和/或值（例如，医生X）。使用软件产品可以定期提高质量。

3. 发明授权

US08751495B2 Automated patient/document identification and categorization for medical data 有权
标题翻译：自动病人/文件识别和医疗数据分类
公开(公告)号：US08751495B2
公开(公告)日：2014-06-10
申请号：US12891983
申请日：2010-09-28
申请人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
发明人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
IPC分类号： G06F7/00 , G06F17/00 , G06F17/30
CPC分类号： G06F17/30616 , G06F19/00 , G16H50/70
摘要： A method, including receiving a data source selection from a user or software application, the data source including medical information of a plurality of patients, receiving, from the user or software application, a data pattern that is related to a concept to be explored in the data source, querying the data source to find information that approximately matches the data pattern; and receiving the information from the data source, wherein the information includes unstructured data, assigning a classification to individual parts of the information based on the part's relationship to the data pattern, and outputting the classified information to the user or software application.
摘要翻译：一种方法，包括从用户或软件应用接收数据源选择，所述数据源包括多个患者的医学信息，从用户或软件应用程序接收与将要探索的概念相关的数据模式数据源，查询数据源以查找与数据模式近似匹配的信息; 以及从所述数据源接收所述信息，其中，所述信息包括非结构化数据，基于所述部分与所述数据模式的关系，将所述信息的各个部分分配给所述信息，并将所述分类信息输出到所述用户或软件应用。

4. 发明申请

US20110078145A1 Automated Patient/Document Identification and Categorization For Medical Data 有权
标题翻译：医疗数据自动化患者/文件识别和分类
公开(公告)号：US20110078145A1
公开(公告)日：2011-03-31
申请号：US12891983
申请日：2010-09-28
申请人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
发明人： Stanley Chung , Faisal Farooq , Glenn Fung , Balaji Krishnapuram , R. Bharat Rao , Romer E. Rosales , John Weis , Shipeng Yu
IPC分类号： G06F17/30 , G06F3/048
CPC分类号： G06F17/30616 , G06F19/00 , G16H50/70
摘要： A method, including receiving a data source selection from a user or software application, the data source including medical information of a plurality of patients, receiving, from the user or software application, a data pattern that is related to a concept to be explored in the data source, querying the data source to find information that approximately matches the data pattern; and receiving the information from the data source, wherein the information includes unstructured data, assigning a classification to individual parts of the information based on the part's relationship to the data pattern, and outputting the classified information to the user or software application.
摘要翻译：一种方法，包括从用户或软件应用接收数据源选择，所述数据源包括多个患者的医学信息，从用户或软件应用程序接收与将要探索的概念相关的数据模式数据源，查询数据源以查找与数据模式近似匹配的信息; 以及从所述数据源接收所述信息，其中，所述信息包括非结构化数据，基于所述部分与所述数据模式的关系，将所述信息的各个部分分配给所述信息，并将所述分类信息输出到所述用户或软件应用。

5. 发明申请

US20120065987A1 Computer-Based Patient Management for Healthcare 审中-公开
标题翻译：基于计算机的医疗患者管理
公开(公告)号：US20120065987A1
公开(公告)日：2012-03-15
申请号：US13228497
申请日：2011-09-09
申请人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
发明人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
IPC分类号： G06Q50/22
CPC分类号： G06Q50/24 , G06F19/328 , G06Q10/0633 , G06Q10/10 , G06Q10/103 , G06Q10/109 , G06Q50/22 , G16H10/60 , G16H40/20 , G16H50/70
摘要： Computer-based patient management is provided for healthcare. Patient data is used to determine a severity, assign a patient to a corresponding diagnosis-related group, and provide a timeline for care at a medical facility. Reminders or alerts are sent to maintain the timeline for more cost effective care. Reminders, suggestions, transitions between care givers, scheduling and other risk management actions are performed. As more data becomes available as part of the care, the care and timeline may be adjusted automatically for more efficient utilization of resources. Accountable care optimization is provided as part of case management. Automated care before any injury or illness and automated care after discharge is provided to optimize the health and costs for a patient. The patient is assigned to the cohort based on the patient data.
摘要翻译：为医疗保健提供基于计算机的病人管理。患者数据用于确定严重程度，将患者分配给相应的诊断相关组，并在医疗机构提供护理时间表。发送提醒或警报以保持更节省成本的时间表。执行提醒，建议，护理人员之间的转换，调度和其他风险管理操作。随着越来越多的数据作为护理的一部分可用，护理和时间表可以自动调整以更有效地利用资源。作为病例管理的一部分提供了责任护理优化。任何伤害或疾病之前的自动化护理以及出院后的自动化护理，以优化患者的健康和成本。根据患者数据将患者分配到队列。

6. 发明授权

US08949082B2 Healthcare information technology system for predicting or preventing readmissions 有权
标题翻译：用于预防或预防再入院的医疗信息技术系统
公开(公告)号：US08949082B2
公开(公告)日：2015-02-03
申请号：US13153551
申请日：2011-06-06
申请人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
发明人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
IPC分类号： G06F7/60 , G06F17/10 , G06F19/00 , G06Q10/10 , G06Q50/24
CPC分类号： G06F19/3431 , G06F19/00 , G06Q10/10 , G06Q50/24 , G16H10/60 , G16H40/20 , G16H50/30 , G16H50/70
摘要： Hospital readmissions may be prevented. Readmission is prevented by predicting the probability of a given patient to be readmitted. The probability alone may prevent readmission by educating the patient or medical professional. The probability may be predicted during a patient stay and used to generate a workflow action item to reduce the probability, to warn, to output appropriate instructions, and/or assist in avoiding readmission. The probability may be specific to a hospital, physician group, or other entity, allowing prevention to focus on past readmission causes for the given entity.
摘要翻译：可能会阻止医院再入院。通过预测给定患者被重新接受的概率来防止再入院。单靠概率可以通过教育病人或医疗专业人员来预防再入院。可以在患者停留期间预测概率，并且用于产生工作流动作项目以降低概率，警告输出适当指令和/或协助避免再次入院。医院，医师团体或其他实体的概率可能是特定的，允许预防专注于给定实体的过去重新接受原因。

7. 发明申请

US20110184761A1 Method and Apparatus for Estimating Patient Populations 审中-公开
标题翻译：用于估计患者人群的方法和装置
公开(公告)号：US20110184761A1
公开(公告)日：2011-07-28
申请号：US13013314
申请日：2011-01-25
申请人： Shipeng Yu , Balaji Krishnapuram , Farbod Rahmanian , Faisal Farooq
发明人： Shipeng Yu , Balaji Krishnapuram , Farbod Rahmanian , Faisal Farooq
IPC分类号： G06Q50/00
CPC分类号： G06Q50/22 , G06Q50/24
摘要： The methods and apparatuses of the present invention provide for a continuous abstraction of randomly sampled patient data and shortened data processing cycle times when an accurate sample population size is unknown at the beginning of the sampling process. The present invention estimates an initial medical patient population size for the purpose of randomly sampling that population. The estimated population size is calculated based on historical patient population data and is corrected at the end of the sample time period. Under-sampling is remediated at the end of the sample time period, during which continuous sampling of the patient data is carried out to provide interim and immediately available sampled patient data. Criteria for medical patient population sizing and sampling are provided by health care organizations responsible for administrating health care quality improvement standards.
摘要翻译：本发明的方法和装置提供随机采样的患者数据的连续抽象，并且在采样过程开始时精确的样本群体大小未知时缩短数据处理周期时间。本发明为了随机抽取该群体而估计初始医疗患者群体大小。估计的人口数量是根据历史患者人口数据计算的，并在采样时间段结束时进行修正。在采样时间段结束时补救欠采样，在此期间对患者数据进行连续采样，以提供临时和即时可用的采样患者数据。卫生保健机构由负责管理保健质量改进标准的医疗机构提供医疗病人人数调查和抽样标准。

8. 发明申请

US20110295621A1 Healthcare Information Technology System for Predicting and Preventing Adverse Events 审中-公开
标题翻译：保健信息技术系统预防和预防不良事件
公开(公告)号：US20110295621A1
公开(公告)日：2011-12-01
申请号：US13153526
申请日：2011-06-06
申请人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
发明人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
IPC分类号： G06Q50/00 , G06N5/04 , G06F15/18
CPC分类号： G06Q50/24 , G06Q10/10 , G16H10/60 , G16H40/20 , G16H50/20 , G16H50/30 , G16H50/70
摘要： An adverse event may be prevented by predicting the probability of a given patient to have or undergo the adverse event. The probability alone may prevent the adverse event by educating the patient or medical professional. The probability may be predicted at any time, such as upon entry of information for the patient, periodic analysis, or at the time of admission. The probability may be used to generate a workflow action item to reduce the probability, to warn, to output appropriate instructions, and/or assist in avoiding adverse event. The probability may be specific to a hospital, physician group, or other medical entity, allowing prevention to focus on past adverse event causes for the given entity.
摘要翻译：可以通过预测给定患者具有或经历不良事件的可能性来防止不良事件。单靠概率可以通过教育患者或医疗专业人员来预防不良事件。可以随时预测概率，例如在输入患者信息，定期分析或入院时。概率可以用于生成工作流动作项目以降低概率，警告输出适当的指令和/或协助避免不利事件。医院，医师团体或其他医疗机构的概率可能是特定的，允许预防集中于给定实体的过去不良事件原因。

9. 发明申请

US20120065997A1 Automatic Processing of Handwritten Physician Orders 审中-公开
标题翻译：自动处理手写医师订单
公开(公告)号：US20120065997A1
公开(公告)日：2012-03-15
申请号：US13228776
申请日：2011-09-09
申请人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
发明人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
IPC分类号： G06Q50/22
CPC分类号： G06Q50/22 , G06Q50/24
摘要： Physician orders are automatically processed. Rather than requiring entry with a user interface in a computerized order entry system, physician orders may be handwritten on a piece of paper or entered on another handwriting device. The orders are scanned or transmitted. Using a lexicon limited to the vocabulary of possible orders, handwriting recognition is applied to the scanned order. By limiting the lexicon, the accuracy of the optical character recognition may be increased. The lexicon may be further limited by determining a diagnosis and/or treatment or imaging modality for the patient and selecting a lexicon limited to orders associated with the diagnosis or modality. The recognized order is then implemented by the computerized order entry system.
摘要翻译：医师订单自动处理。不需要在计算机化订单输入系统中输入用户界面，医生指令可以手写在一张纸上或者输入另一个手写装置。订单被扫描或传输。使用限于可能订单的词汇表的词典，手写识别将应用于扫描的订单。通过限制词汇，可以增加光学字符识别的准确性。可以通过确定患者的诊断和/或治疗或成像模式并选择限于与诊断或模态相关联的命令的词典来进一步限制词典。所识别的订单然后由计算机订单输入系统实现。

10. 发明申请

US20120041784A1 Computerized Surveillance of Medical Treatment 审中-公开
标题翻译：电脑化医疗监察
公开(公告)号：US20120041784A1
公开(公告)日：2012-02-16
申请号：US13228661
申请日：2011-09-09
申请人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
发明人： Faisal Farooq , Romer E. Rosales , Shipeng Yu , Balaji Krishnapuram , Bharat R. Rao
IPC分类号： G06Q50/24
CPC分类号： G06Q50/24 , G16H10/20 , G16H50/70
摘要： Medical treatment is automatically surveyed. Drugs or other treatments may be monitored post-market. This surveillance may be accomplished in two ways: (1) Identify patients that potentially match templates consistent with possible adverse reactions, possibly including adverse reactions not associated with the treatment. Potentially, if the match is good enough, a single patient may be sufficient to raise an alert. Alternately, multiple patients partially matching a template may cause an alert. (2) Identify patient clusters with unusual patterns. Multiple patients associated with greater rates of adverse events or event severity not expected with the treatment are identified. The data for surveillance is acquired from multiple sources, so may be more comprehensive for early recognition of adverse effects. Data gathering and surveillance are computerized, so early, cost effective recognition may be more likely.
摘要翻译：医疗自动进行调查。药物或其他治疗方法可能在市场后监测。这种监测可以通过以下两种方式完成：（1）确定潜在匹配模板的患者与可能的不良反应一致，可能包括与治疗无关的不良反应。潜在地，如果比赛足够好，单个病人可能足以提高警戒。或者，多个部分匹配模板的患者可能会引起警惕。（2）识别具有异常模式的患者集群。确定与治疗无法预期的不良事件或事件严重程度相关的多个患者。监测数据来自多个来源，因此可能会更加全面地早期识别不良反应。数据收集和监控是电脑化的，所以早期，成本有效的识别可能更有可能。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式