Koninklijke Philips Corporation N.v.

Accenture Global Solutions Limited

Vinod Kumar

Bryan Conroy

Erina Ghosh

Srinivas Hariharan

David Paul Noren

Rajneesh Soni

Shobhit Shrotriya

Kailash Swaminathan

Claire Yunzhu Zhao

Emma Holdrich Schwager

Daniel Craig McFarlane

Mohammad Shahed Sorower

Kristen Tgavalekos

Vikram Shivanna

Ting Feng

Partha Sarathy Paramanik

Deepak Kumar Arjun

Gandam Seema Moses

Sanjib Ghosh

Chaitanya Kulkarni

The present disclosure is directed to systems and methods for developing an individual-specific patient baseline for a target patient. An exemplary method involves: determining one or more acuity scores for the target patient; identifying patient health data corresponding to one or more low acuity time periods; storing retrospective clinical data from a group of patients in a second database; comparing the patient health data corresponding to the one or more low acuity time periods with retrospective clinical data from a group of patients by identifying one or more patient subgroups; determining the individual-specific patient baseline using an adaptive baseline selection algorithm, wherein the adaptive baseline selection algorithm is used to determine whether to determine the individual-specific patient baseline using patient health data or using retrospective clinical data from one or more patient subgroups; and displaying, using a user interface, the individual-specific patient baseline.

Methods and systems for patient baseline estimation

An automatic artwork review system validates an artwork or a product label based on a received label specification document. Text extracted from the product label is chunked into sentences and words. Character-wise comparison is executed to identify the best match text from the label specification document for the sentence chunks from the product label. If the corresponding best match texts bears a similarity higher than a predetermined threshold to selected text including one or more sentence chunks, no errors are raised. If the similarity of the best match text to the selected text is not higher than the predetermined threshold, the specific errors occurring in the selected text and the particular portions where such errors are present are identified. The information regarding the errors can be output via one or more of an output user interface or a label compliance report.

Automatic artwork review and validation

Growing community of inventors

Bengaluru, India

Vinod Kumar