Abstract: A computer-implemented method for facilitating placement of health care order entry is provided. The method includes receiving input indicative of a desired healthcare order. The order has certain terms therein that are normalized. The method also finds possible order matches for the normalized terms, and calculates a rough score for the possible order matches. The method refines the rough score with a rough score adjustment, and then ranks the found possible order matches from the most-likely to match the desired order to the least-likely based upon the refined rough score. These possible order matches can then be displayed to the user for selection.

Abstract: A system and associated methods for orchestrating a collaboration session are disclosed. One method involves orchestrating a collaboration session between a requesting clinician and another clinician where information is exchanged electronically. According to the method, requests for collaboration sessions are received by a computer system from the requesting clinician, with a given request related to a piece of patient-focused clinical data. Each request is analyzed to build a roster of potentially available clinicians for collaboration. A collaboration session is then facilitated between the requesting clinician and one or more of the potentially available clinicians on the roster.

Abstract: A computer-implemented method for facilitating placement of health care order entry is provided. The method includes receiving input indicative of a desired healthcare order. The order has certain terms therein that are normalized. The method also finds possible order matches for the normalized terms, and calculates a rough score for the possible order matches. The method refines the rough score with a rough score adjustment, and then ranks the found possible order matches from the most-likely to match the desired order to the least-likely based upon the refined rough score. These possible order matches can then be displayed to the user for selection.

Abstract: A method, system, and medium are provided for searching an electronic medical record. Search results are returned in response to a search query. The search query may be one or more designated medical concepts. The search results may be displayed according to a ranking that determines which search results are likely to be the most responsive to a query submitted by a particular clinician based on matching the most important clinical concepts in each document to the most important clinical concepts in the search query.

Abstract: A system and associated methods are disclosed for managing clinical notification delivery and related compliance monitoring. In certain embodiments, the clinical notifications are automatically driven by healthcare information associated with a specific patient, and are delivered to an electronic device of the patient at a remote location. Thereafter, compliance monitoring may be initiated to log the patient's intent to act in accordance with the notification. For instance, in certain embodiments, the notification relates to a reminder regarding scheduled medication administration for the particular patient, where a reply to the notification indicates whether the patient is following the scheduled medication administration.

Abstract: A method in a computer system for preventing atypical clinical events related to information identified by DNA testing a person is provided. The method includes receiving clinical agent information. The method also includes determining if a gene is associated with the clinical agent information, and if so, obtaining a genetic test result value for the associated gene of the person. The method further includes comparing the genetic test result value to a list of polymorphism values associated with an atypical clinical event, and determining whether the genetic test result value correlates to a polymorphism value on the list, and if so, outputting information about the atypical clinical event associated with the polymorphism value.

Abstract: A method in a computer system for preventing atypical clinical events related to information identified by DNA testing a person is provided. The method includes receiving clinical agent information. The method also includes determining if a gene is associated with the clinical agent information, and if so, obtaining a genetic test result value for the associated gene of the person. The method further includes comparing the genetic test result value to a list of polymorphism values associated with an atypical clinical event, and determining whether the genetic test result value correlates to a polymorphism value on the list, and if so, outputting information about the atypical clinical event associated with the polymorphism value.

Abstract: A computer-implemented method for facilitating placement of health care order entry is provided. The method includes receiving input indicative of a desired healthcare order. The order has certain terms therein that are normalized. The method also finds possible order matches for the normalized terms, and calculates a rough score for the possible order matches. The method refines the rough score with a rough score adjustment, and then ranks the found possible order matches from the most-likely to match the desired order to the least-likely based upon the refined rough score. These possible order matches can then be displayed to the user for selection.

Abstract: A method in a computer system for preventing atypical clinical events related to information identified by DNA testing a person is provided. The method includes receiving clinical agent information. The method also includes determining if a gene is associated with the clinical agent information, and if so, obtaining a genetic test result value for the associated gene of the person. The method further includes comparing the genetic test result value to a list of polymorphism values associated with an atypical clinical event, and determining whether the genetic test result value correlates to a polymorphism value on the list, and if so, outputting information about the atypical clinical event associated with the polymorphism value.