Online

Events

Aug
18
2021
NARUG 2021 Virtual Conference
Group: North Atlantic RUG (NARUG)
Aug
19
2021
Project Management with InTegrity℠
Group: S&P Consultants

Forum

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Kayla Haselein
about 6 Months ago
0
15
Topic posted in Group: *CernerUsers Community
Kacee Downey
about 8 Months ago
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15
Anna Brown
about 1 Year, 3 Months ago
0
24
Topic posted in Group: *CernerUsers Community

Latest Media

Addressing social needs among vulnerable populations, in terms of improved health outcomes, as well as reduced costs, is becoming a driving force of investme...
Addressing social needs among vulnerable populations, in terms of improved health outcomes, as well as reduced costs, is becoming a driving force of investme...

Latest Blogs

  • Are You Recognizing All Room and Bed Charges Accurately?
    Are You Recognizing All Room and Bed Charges Accurately? By: Videl Nelson, Revenue Integrity Consultant Are you recognizing all Room and Bed charges at your organization? This may be a difficult question to answer if you do not have a mechanism or report to manage and track this type of data within Cerner Millennium. One of the most important charges to make sure is recognized on the inpatient side of the house is the Room Care charge, also referred to as the Room and Bed charge. This ch...
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    Published
  • eTech Insight – Portable Smart Speaker Advances Oncology
    The Problem: Easily Accessing Useful Oncology Treatment Information Oncology treatment information may reside in many disparate cancer registries. Cancer registries collect information on patient demographics, types of cancer, screen mechanisms used, medication regime approaches, and treatment outcomes. Once a year, most state central cancer registries send information to CDC’s National Program of Cancer Registries (NPCR). Therefore, cancer registry data may be at least a year old and s...
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    Published
  • eTech Insight – Solutions for Data Cleaning
    The Problem: Bad Data Equals Garbage In and Poor Analytics Results According to surveys conducted by Anaconda and Figure Eight, data scientists spend 45% of their time preparing data, and data cleaning can take a quarter of that time. Data cleaning fixes or discards anomalous or wrong numbers and/or data and otherwise ensures that the data is an accurate representation of the analytics model it is meant to measure. Automating the task is challenging because different data sets requi...
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