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Robert Charles Amland

age ~63

from Lenexa, KS

Also known as:
  • Robert C Amland
  • Rc Amland
  • Rebecca A Akin
  • Bob Amland
  • Amland Rc
Phone and address:
8854 Pine St, Shawnee Mission, KS 66220
(913)7826191

Robert Amland Phones & Addresses

  • 8854 Pine St, Lenexa, KS 66220 • (913)7826191
  • Shawnee Mission, KS
  • Kansas City, MO
  • 5209 Abbott Ave, Minneapolis, MN 55410 • (612)9296845
  • Venice, CA
  • Hermosa Beach, CA
  • Cottage Grove, MN
  • Lawrence, KS
  • 5209 Abbott Ave S, Minneapolis, MN 55410

Work

  • Position:
    Production Occupations

Education

  • Degree:
    Bachelor's degree or higher

Interests

job inquiries, expertise requests, busin...

Industries

Hospital & Health Care

Resumes

Robert Amland Photo 1

Robert Amland

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Location:
Kansas City, Missouri Area
Industry:
Hospital & Health Care
Experience:
PricewaterhouseCoopers (Partnership; 10,001 or more employees; PwC; Accounting industry): Manager - Healthcare,  (1999-2002) Healthcare IndustriesACS (Public Company; 10,001 or more employees; ACS; Information Technology and Services industry): Manager - Healthcare,&nb...

Us Patents

  • Readmission Risk Assesment

    view source
  • US Patent:
    20110313788, Dec 22, 2011
  • Filed:
    Jun 17, 2010
  • Appl. No.:
    12/817602
  • Inventors:
    ROBERT CHARLES AMLAND - LENEXA KS, US
    HUGH RYAN - LEE'S SUMMIT MO, US
    JASON HOWARD - LEE'S SUMMIT MO, US
    BHARAT SUTARIYA - PARKVILLE MO, US
  • Assignee:
    CERNER INNOVATION, INC. - OVERLAND PARK KS
  • International Classification:
    G06Q 50/00
    G06N 7/02
    G06Q 10/00
  • US Classification:
    705 3, 706 52
  • Abstract:
    A readmission risk prediction model is generated and used for identifying patients having elevated risk of readmission and determining inpatient treatment and outpatient activities based on readmission risk. Readmission risk prediction models may be generated for a variety of different clinical conditions using logistic regression techniques. When a patient is admitted to a hospital, the patient's condition is identified and a corresponding readmission risk prediction model is employed to identify the patient's risk of readmission. The readmission risk may be presented to a clinician and employed to recommend interventions intended to treat the patient and reduce the probability of readmission for the patient. The patient's readmission risk may also be calculated after the patient has been discharged and used for planning outpatient activities for the patient.

Youtube

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