Koninklijke Philips Corporation N.V.

Philips Intellectual Property & Standards Gmbh

Colleen Michelle Ennett

Brian David Gross

Larry James Eshelman

Joerg Sabczynski

William Palmer Lord

Kwok Pun Lee

Larry Nielsen

Joachim Schmidt

Sebastian Peter Michael Dries

Mohammed Saeed

Pavankumar Murli Dadlani Mahtani

Pradyumna Dutta

Jingyu Zhang

Beant Kaur Dhillon

Xinxin Zhu

Joachim D Schmidt

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 lifestyle 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.

Personalizing patient pathways based on individual preferences, lifestyle regime, and preferences on outcome parameters to assist decision making

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.

Retrieval of similar patient cases based on disease probability vectors

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.

Apparatus for measuring and predicting patients' respiratory stability

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).

Decision support system with embedded clinical guidelines

Growing community of inventors

White Plains, NY, United States of America

Colleen Michelle Ennett