Abstract: A method of retrieving similar patient cases from a medical database includes matching a current patient case against a plurality of clinical profiles resulting in a set of matching clinical profiles. The method further includes determining a degree of membership of the current patient case in each clinical profile from the set of matching clinical profiles based upon a degree of match between the current patient case and the clinical profile. For at least one clinical profile from the set of matching clinical profiles, the method includes retrieving those similar patient cases from the medical database that have a substantially corresponding degree of membership as the current patient case.

Abstract: An apparatus (10) for predicting patient respiratory stability includes a patient data memory (24) which stores patient data for a patient (12) and an analyzer (34) in communication with the memory computes a measure of patient respiratory stability. The analyzer applies one or more rules to the patient data that are based on a plurality of parameters which in combination, have been identified as being predictive of patient respiratory instability, such as mean airway pressure (MAWP), plateau pressure (PP), arterial oxygen saturation (SaO2 or SpO2), and heart rate (HR). Based on the application of the rules, the analyzer determines the measure of patient respiratory stability.

Abstract: A medical information system (1) includes a user interface unit (2), a function predictor (6), a visualization unit (8), and a display device (12). The user interface unit (2) receives responses of a patient diagnosed with a disease to standardized questions pertaining to body functions of the diagnosed patient. The function predictor (6) computes predicted function values for the at least one body function based on the received responses, a disease profile, a treatment option, and a statistical model constructed from population based survey results. The visualization unit (8) constructs a visual display of the predicted values of the at least one body function for the diagnosed patient. The display device (12) displays the visual display.

Abstract: A context-aware decision-support system automatically selects the clinical guideline pertaining to the patient's medical care and automatically deduces the current stage in the guideline (S312, S336). The system tracks a patient's progress through the guideline to maintain a determination as to the current stage (S304, S336). Based on the current stage and patient-specific information, an unsolicited recommendation is presented on-screen, accompanied by one or more grades representing the level of evidence underlying the recommendation (S344).

Abstract: When annotating a patient's medical or clinical record, an automated annotation system compares aggregated patient data (e.g., historical vital sign data, lab results, patient admission/discharge/transfer information, etc.) and matches events and/or patterns therein to procedure profiles to determine whether a given procedure is required, in progress, or completed. If the probability of procedure necessity or occurrence is above a predetermined threshold, then system inserts an annotation into the clinical record to mitigate a need for a clinician to manually enter the annotation. Alarm parameters are adjusted to reflect a physiological response to the determined procedure, to reduce false alarm triggers. Additionally or alternatively, triggered advisories may be suppressed from the user interface for a time period during which conditions specified in the procedure profile exist, or for a specific period of time following the procedure.

Abstract: An apparatus (10) for predicting patient respiratory stability includes a patient data memory (24) which stores patient data for a patient (12) and an analyzer (34) in communication with the memory computes a measure of patient respiratory stability. The analyzer applies one or more rules to the patient data that are based on a plurality of parameters which in combination, have been identified as being predictive of patient respiratory instability, such as mean airway pressure (MAWP), plateau pressure (PP), arterial oxygen saturation (SaO2 or SpO2), and heart rate (HR). Based on the application of the rules, the analyzer determines the measure of patient respiratory stability.

Abstract: A context-aware decision-support system automatically selects the clinical guideline pertaining to the patient's medical care and automatically deduces the current stage in the guideline (S312, S336). The system tracks a patient's progress through the guideline to maintain a determination as to the current stage (S304, S336). Based on the current stage and patient-specific information, an unsolicited recommendation is presented on-screen, accompanied by one or more grades representing the level of evidence underlying the recommendation (S344).

Abstract: A display system and method for displaying information to a clinician when selecting the next appropriate diagnostic test or therapeutic procedure to order for a patient are provided. The system assists the clinician in selecting the next step based on the information the clinician hopes to gain from the test or the result of the treatment. The system will present general and patient-specific information about the procedure to assist the clinician's selection. The system includes a user interface configured for entering desired resultant information of a procedure; a processor configured to determine at least one result code from the entered desired resultant information from a database associating result codes to resultant information; the processor configured to determine at least one procedure matching the at least one result code; and a display device for presenting the determined at least one procedure.