Lawrence K Mcknight

US Patent:

20080016042, Jan 17, 2008

Filed:

Jul 17, 2007

Appl. No.:

11/778983

Inventors:

Lawrence McKnight - Chadds Ford PA, US

Assignee:

SIEMENS MEDICAL SOLUTIONS USA, INC. - MALVERN PA

International Classification:

G06F 17/30

US Classification:

707 3

Abstract:

A search system finds an order to provide an item. The search system includes a repository including a plurality of records identifying a corresponding plurality of items for order. A record of an individual item for order includes a plurality of related text terms describing order related parameters. A search processor searches the plurality of records to find candidate items for order corresponding to a user entered search term by: identifying and prioritizing candidate items for order in response to a relative frequency of occurrence of the user entered search term in corresponding records of the candidate items for order; and ranking the identified and prioritized candidate items for order in response to a relative frequency of ordering of the identified and prioritized candidate items for use by users. An output processor provides search result data representing the ranked, identified and prioritized candidate items.

US Patent:

20190197428, Jun 27, 2019

Filed:

Dec 27, 2018

Appl. No.:

16/233348

Inventors:

- KANSAS CITY KS, US
Joseph Marcus Overhage - Zionsville IN, US
Lawrence McKnight - Chadds Ford PA, US
Natalee Agassi - Blue Bell PA, US
Emin Agassi - Blue Bell, US
Bijan John Parsia - Hulme, GB

International Classification:

G06N 20/00
G06N 5/04

Abstract:

Methods, systems, and computer-readable media are disclosed herein that employ a contextually intelligent framework. In accordance with embodiments, a knowledge model having rules, axioms, and a domain ontology is evaluated to determine rules that are redundant to other rules and axioms, to determines those rules thresholds that may be refactored to generate composite rules and reduce the overall quantity of rules in the knowledge model, and to generate and add new concepts as axioms to the domain ontology as determined through refactoring. Methods, systems, and computer-readable media are disclosed herein that use the refactored and improved knowledge model to reconcile information currently stored in one system with information imported from a plurality of diverse systems, in order to generate recommendations that promote continuity of care in clinical settings.