DONALD RUCKER, MD
Osteopathic Medicine at 39 St, Philadelphia, PA

7451096, Nov 11, 2008

Apr 8, 2002

10/118494

Donald W. Rucker - Philadelphia PA, US

Siemens Medical Solution USA, Inc. - Malvern PA

G06F 19/00

705 3, 705 2

A system and method for managing healthcare communication. In general, a system according to the present invention comprises a tool, which is integrated with a clinical information system, comprising an engine for dynamically generating and updating lists of patient-specific and provider-specific contact information using data that is accessed from one or more sources via search engine. The lists of contact information are readily accessible by healthcare providers while treating patients using any one of devices. The tool is preferably integrated with a call management system for tracking and flagging clinically necessary telephone calls, for example, that need to be repeated. Furthermore, the tool is preferably integrated with a workflow system to provide dynamic task assignment wherein the lists of contact information are dynamically generated and updated based on output events of a workflow engine of the workflow system.

7895527, Feb 22, 2011

Jul 14, 2006

11/457607

John R. Zaleski - West Brandywine PA, US
Alexander Scarlat - Novi MI, US
Donald W. Rucker - Philadelphia PA, US

Siemens Medical Solutions USA, Inc. - Malvern PA

G06F 3/048

715804, 715746, 715781, 715783, 715792, 715803, 702 32, 702 68

Illustrative embodiments comprise systems, user interfaces, machine-readable media, and/or methods for automatically acquiring data representing a plurality of different types of medical parameters of a patient, processing the data for presentation to a user via a display device, and initiating display of one or more different image windows, which present processed data representing and corresponding to the plurality of different types of medical parameters of the patient on the display device. Each of the plurality of different image windows is referenced to a single variable scale timeline and is arranged on the display device to permit the user to view values for each of the plurality of different types of medical parameters corresponding to a substantially common time from the single variable scale timeline. A plurality of user interface elements are implemented using object oriented executable code. Each of the plurality of user interface elements are adapted to provide a user with selectable single setting of image display format characteristics shared by the plurality of image windows.

2005001, Jan 20, 2005

Nov 7, 2003

10/704400

Donald Rucker - Philadelphia PA, US

G06F017/60

705002000

A system provides a user interface display allowing clinicians to perform computerized treatment order entry by concurrently applying multiple strategies for placing computerized orders for a specific patient. A system provides a displayable list of services available for order by a healthcare provider in providing health care to a patient. The system includes a display processor for initiating generation of data representing a hierarchical sequence of display images. The display images include a first menu of display items enabling a user to select an initial set of services for order from predetermined candidate sets of services, in response to first criteria. The display images also include a second menu of display items enabling a user to select a service to add to the initial order set from a set of orderable services associated with a healthcare provider organization department, to produce a combined order set. An order processor initiates ordering of the orders in the combined order set in response to user command.

2005013, Jun 23, 2005

Mar 30, 2004

10/812589

R. Rao - Berwyn PA, US
William Landi - Devon PA, US
Donald Rucker - Philadelphia PA, US

G06F017/60

705004000

Systems, tools, and methods are provided to automatically classify health insurance claims using classification models that are trained to predict whether a health insurance claim will be accepted or rejected by a target payer, analyze why the claim will be rejected, and then target the intervention(s) needed to appropriately handle the claim. Classification schemes are implemented which can automatically and continuously “learn” to predict the outcome of medical claims for target payers by analyzing historical claims results, with minimal or virtually no human expert intervention.