The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 19, 2022
Filed:
Jun. 24, 2014
Koninklijke Philips N.v., Eindhoven, NL;
Angel Janevski, New York, NY (US);
Sitharthan Kamalakaran, Pelham, NY (US);
Nilanjana Banerjee, Armonk, NY (US);
Vinay Varadan, New York, NY (US);
Nevenka Dimitrova, Pelham Manor, NY (US);
Mine Danisman Tasar, Noord Brabant, NL;
Koninklijke Philips N.V., Eindhoven, NL;
Abstract
In a clinical decision support method, outputs of computer-implemented analytical modules are computed for a patient. Information is displayed for the patient pertaining to a clinical question comprising outputs computed for the patient of analytical modules associated with the clinical question. The analytical modules may include modules configured to perform in silico genetic/genomic tests using genetic/genome sequencing (whole genome, whole exome, whole transcriptome, targeted gene panels, etc) or microarray data. A clinical question-module matrix (CQ-M matrix) may be generated for the patient associating clinical questions with analytical modules, and the method may further include populating the clinical questions with outputs computed for the patient of the analytical modules associated with the clinical questions by the CQ-M matrix. Such populating advantageously re-uses outputs computed for the patient when an analytical module is associated with two or more different clinical questions by the CQ-M matrix. This system empowers the clinician to focus on the clinical aspects of patient management while allowing the data complexities of patient genomic data interpretation to be handled by the clinical decision support system.