Sumul M Shah from Whitefield, NH, age 41

Resumes

Co-Founder And Head Of Design

View page

Location:

Alameda, CA

Industry:

Internet

Work:

Studio Shah Llc Sep 2004 - Dec 2013
Designer
Amino Communications Sep 2004 - Dec 2013
Co-Founder and Head of Design
Cornell University Dec 2002 - Aug 2004
Web Designer

Education:

Cornell University 2002 - 2004
Bachelors, Bachelor of Science, Computer Engineering Bard College at Simon's Rock 1999 - 2001
Associates, Associate of Arts, Liberal Arts Duke University

Skills:

Mobile Applications
User Experience
Start Ups
Product Management
User Interface Design
Web Design
Web Development
Photography
Interaction Design
Web Applications
Css
Strategy
Graphic Design
Product Design
Javascript
Digital Media
Software Design
Visual Design
Creative Direction
Front End Coding
Branding and Identity
Logo Design
Wireframes

Publications

Us Patents

Gathering Information From A Healthcare Consumer Using Context-Based Questions, And Progressively Presenting Information Associated With A Ranked List Of Suggested Healthcare Providers

View page

US Patent:

20210082549, Mar 18, 2021

Filed:

Nov 16, 2020

Appl. No.:

17/098736

Inventors:

- San Francisco CA, US
Sumul Mahendra Shah - Alameda CA, US
Rebecca Ackermann - San Francisco CA, US
Nicholas C. Dunkman - San Francisco CA, US
Jorge A. Caballero - Menlo Park CA, US
Abraham M. Othman - San Francisco CA, US
David A. Vivero - San Francisco CA, US

International Classification:

G16H 10/60
G16H 10/20
G16H 50/70
G16H 40/20
G06Q 50/22

Abstract:

A computer-implemented method includes displaying a number of questions on a stack of overlapping graphical objects that dynamically indicates a status of the number of remaining questions, determining an output based on answers input by a user, and displaying an indication of the output.

Identification And Profiling Of Focus Areas

View page

US Patent:

20170235899, Aug 17, 2017

Filed:

Feb 12, 2016

Appl. No.:

15/043116

Inventors:

- San Francisco CA, US
Jorge A. Caballero - Menlo Park CA, US
David A. Vivero - San Francisco CA, US
Abhinav Chowdary Yarlagadda - San Francisco CA, US
Mary Audrey Hampden - Alameda CA, US
Sumul Mahendra Shah - Alameda CA, US
Rebecca Ackermann - San Francisco CA, US

International Classification:

G06F 19/00
G06F 17/30

Abstract:

Disclosed are methods and systems for identifying and profiling focus areas of healthcare providers. Embodiments include technology that identifies focus areas automatically from healthcare information such as diagnoses and procedures. As such, healthcare providers that frequently diagnose and/or treat patients for similar conditions may be automatically grouped into the same cluster. Expert knowledge may then be used to label a cluster as a focus area.

Gathering Information From A Healthcare Consumer Using Context-Based Questions, And Progressively Presenting Information Associated With A Ranked List Of Suggested Healthcare Providers

View page

US Patent:

20170061101, Mar 2, 2017

Filed:

Oct 16, 2015

Appl. No.:

14/885895

Inventors:

International Classification:

G06F 19/00

Abstract:

Introduced are methods and systems for gathering information from a healthcare consumer using context-based questions, and progressively presenting information associated with a ranked list of suggested healthcare providers. First, the server gathers information associated with the healthcare consumer using context-based questions. Each question is formulated based on the answers the healthcare consumer has provided to previous questions, so that minimal and necessary questions are asked. Second, the server progressively sends to a healthcare consumer device, information associated with a ranked list of suggested healthcare providers. The first information tier sent to the healthcare consumer device includes a graphic representing the match strength between the healthcare consumer and the healthcare provider, and the number of similar healthcare consumers the healthcare provider has treated. Based on the healthcare consumer interest, the server displays additional information to the healthcare consumer.

Entity Cohort Discovery And Entity Profiling

View page

US Patent:

20160196394, Jul 7, 2016

Filed:

Mar 4, 2015

Appl. No.:

14/638227

Inventors:

- San Francisco CA, US
David A. Vivero - San Francisco CA, US
Erica Frandsen - Alameda CA, US
Jorge A. Caballero - Menlo Park CA, US
Abhinav Chowdary Yarlagadda - San Francisco CA, US
Sumul Mahendra Shah - Alameda CA, US
Eithon Michael Galinato Cadag - Foster City CA, US
Mary Audrey Hampden - Alameda CA, US

International Classification:

G06F 19/00

Abstract:

Disclosed are systems and techniques for providing a master health entity index and a data analysis mechanism designed for entity cohort discovery and entity profiling. The entity can be a health care facility that diagnosis or treats health conditions and diseases (e.g., hospital, clinic), individuals (e.g., providers, patients, care givers), healthcare data (e.g., medical conditions, treatments, diagnostic studies, health outcomes), etc. For example, a data analysis mechanism may identify distinctive patient cohorts based on what happened to patients in a hospital and why the occurrence happened, reconstruct timelines of healthcare events from fragmented medical data, and leverage the existing electronic health data to generate comprehensive profiles of healthcare entities.

Data Analysis Mechanism For Generating Statistics, Reports And Measurements For Healthcare Decisions

View page

US Patent:

20160196398, Jul 7, 2016

Filed:

Jan 7, 2016

Appl. No.:

14/990744

Inventors:

- San Francisco CA, US
Jorge A. Caballero - Menlo Park CA, US
Abraham M. Othman - San Francisco CA, US
Farid Jamshidian - South San Francisco CA, US
Eithon Michael Galinato Cadag - Foster City CA, US
Abhinav Chowdary Yarlagadda - San Francisco CA, US
James Lyon Fingal - San Francisco CA, US
Nicholas C. Dunkman - San Francisco CA, US
Kunal Dhiren Shah - San Francisco CA, US
Willard Kirk Strauser - Alameda CA, US
Michael H. Lin - Saratoga CA, US
Mary Audrey Hampden - Alameda CA, US
Sumul Mahendra Shah - Alameda CA, US
Rebecca Ackermann - San Francisco CA, US

International Classification:

G06F 19/00

Abstract:

Disclosed are systems and techniques for providing a master health entity index and a data analysis mechanism designed for entity cohort discovery and entity profiling. The entity can be a healthcare facility that diagnoses or treats health conditions and diseases (e.g., hospital, clinic), individuals (e.g., providers, patients, caregivers), healthcare data (e.g., medical conditions, treatments, diagnostic studies, health outcomes), etc. For example, a data analysis mechanism may identify distinctive patient cohorts based on what happened to patients in a hospital and why the occurrence happened, glean insight from the activities of the distinctive patient cohorts, and assist with additional patients with the gleaned insight. .

Entity Cohort Discovery And Entity Profiling

View page

US Patent:

20160196407, Jul 7, 2016

Filed:

Jan 7, 2016

Appl. No.:

14/990766

Inventors:

- San Francisco CA, US
Abhinav Chowdary Yarlagadda - San Francisco CA, US
Farid Jamshidian - South San Francisco CA, US
Kate M. Lewis - San Francisco CA, US
Eithon Michael Galinato Cadag - Foster City CA, US
James Lyon Fingal - San Francisco CA, US
Nicholas C. Dunkman - San Francisco CA, US
Kunal Dhiren Shah - San Francisco CA, US
Willard Kirk Strauser - Alameda CA, US
Michael H. Lin - Saratoga CA, US
Abraham M. Othman - San Francisco CA, US
David A. Vivero - San Francisco CA, US
Mary Audrey Hampden - Alameda CA, US
Sumul Mahendra Shah - Alameda CA, US

International Classification:

G06F 19/00
G06F 17/30

Abstract:

Disclosed are systems and techniques for providing a master health entity index and a data analysis mechanism designed for entity cohort discovery and entity profiling. The entity can be a healthcare facility that diagnoses or treats health conditions and diseases (e.g., hospital, clinic), individuals (e.g., providers, patients, caregivers), healthcare data (e.g., medical conditions, treatments, diagnostic studies, health outcomes), etc. For example, a data analysis mechanism may identify distinctive patient cohorts based on what happened to patients in a hospital and why the occurrence happened, reconstruct timelines of healthcare events from fragmented medical data, and leverage the existing electronic health data to generate comprehensive profiles of healthcare entities.

Videos & Images