Colleen M Ennett

20090094063, Apr 9, 2009

Mar 12, 2007

12/282777

Colleen M. Ennett - White Plains NY, US

KONINKLIJKE PHILIPS ELECTRONICS, N.V. - EINDHOVEN

G06F 17/00
G06Q 50/00

705 3, 705 7, 705 2, 705 8, 707 4, 707E17016, 707E17014

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.

20090119282, May 7, 2009

Nov 6, 2006

12/093382

William P. Load - Fishkill NY, US
Colleen M. Ennett - White Plains NY, US
Katie Zhu - Croton-on-Hudson NY, US
Joachim D. Schmidt - Hamburg, DE

KONINKLIJKE PHILIPS ELECTRONICS, N.V. - EINDHOVEN

G06F 7/06
G06F 17/30

707 5, 707 3, 707E17014

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 (S, S). The system tracks a patient's progress through the guideline to maintain a determination as to the current stage (S, S). 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 (S).

20100312798, Dec 9, 2010

Dec 8, 2008

12/810021

Pradyumna Dutta - Croton on Hudson NY, US
Colleen Ennett - White Plains NY, US

KONINKLIJKE PHILIPS ELECTRONICS N.V. - EINDHOVEN

G06F 17/30

707780, 707E17014

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.

20100324938, Dec 23, 2010

Dec 10, 2008

12/808371

Colleen Ennett - White Plains NY, US
Pradyumna Dutta - Croton on Hudson NY, US
N. Stephen Ober - Southboro MA, US

KONINKLIJKE PHILIPS ELECTRONICS N.V. - EINDHOVEN

G06Q 50/00
G06F 17/30

705 3, 707754, 707E17059

A decision support apparatus () includes a subject record database (), a temporally dependent relationship identifier (), an event predictor (), a coded subject record database (), a decision support system processor (), and a user interface (). The temporally dependent relationship identifier processes the data in the subject record database () to identify temporally dependent relationships in the data. Information indicative of the identified relationships is processed by the processor () and presented to a user via the user interface ().

20110029248, Feb 3, 2011

Feb 2, 2009

12/866067

Mohammed Saeed - Cambridge MA, US
Kwok Pun Lee - Ossining NY, US
Colleen M. Ennett - White Plains NY, US
Larry Eshelman - Ossining NY, US
Larry Nielsen - Burlington MA, US
Brian Gross - North Andover MA, US

KONINKLIJKE PHILIPS ELECTRONICS N.V. - EINDHOVEN

G06F 19/00
G06Q 50/00

702 19, 705 2

An apparatus () for predicting patient respiratory stability includes a patient data memory () which stores patient data for a patient () and an analyzer () 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.

20120239435, Sep 20, 2012

Nov 17, 2010

13/512356

Colleen M. Ennett - White Plains NY, US
Pradyumna Dutta - Croton-on-Hudson NY, US

KONINKLIJKE PHILIPS ELECTRONICS N.V. - EINDHOVEN

G06Q 50/24

705 3

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. In another embodiment, triggered advisories that occur under the specific conditions identified in a procedure profile may be flagged in the patient's medical record with a notification that the suspected procedure is being performed.

20160098527, Apr 7, 2016

Jun 4, 2014

14/892383

- Eindhoven, NL
Colleen M. Ennett - White Plains NY, US
Pavankumar Murli DADLANI MAHTANI - Eindhoven, NL

G06F 19/00

A medical information system () includes a user interface unit (), a function predictor (), a visualization unit (), and a display device (). The user interface unit () receives responses of a patient diagnosed with a disease to standardized questions pertaining to body functions of the diagnosed patient. The function predictor () 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 () constructs a visual display of the predicted values of the at least one body function for the diagnosed patient. The display device () displays the visual display.

20150254408, Sep 10, 2015

Sep 25, 2013

14/427660

- Eindhoven, NL
Jingyu Zhang - Elmsford NY, US
Sebastian Peter Michael Dries - Hamburg, DE
Colleen Ennett - White Plains NY, US
Joerg Sabczynski - Norderstedt, DE
Beant Kaur Dhillon - Eindhoven, NL

G06F 19/00

A system () for personalization of patient pathways and treatment options includes a patient information database () which stores patient data relating to a patient's medical records. A patient personalization system () receives the patient's life-style values and preferences and evaluates choices of pathways and treatments and a clinical decision support system () generates choices of pathways and treatments from the patient data and the patient's lifestyle values and preferences.