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PEDS Reports and Data Tools

PEDS Custom Reports

PEDS Custom Reports

Postby Sasha Gumbar » January 16th, 2013, 4:21 pm

Watch an 8 minutes video about our interactive data tools and learn how you can use PEDS data
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Sasha Gumbar
American Association of Colleges for Teacher Education
 
Posts: 14

Re: PEDS Custom Reports

Postby Dr. Fletcher D. Kirkland, IV » December 3rd, 2019, 6:26 am

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Dr. Fletcher D. Kirkland, IV
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Posts: 1

Re: PEDS Custom Reports

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Dr. Greg H. Bjorg, Jr
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Posts: 10

Re: PEDS Custom Reports

Postby Cassandra D. Everhart » December 30th, 2019, 11:12 pm

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Cassandra D. Everhart
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Posts: 31

Re: PEDS Custom Reports

Postby Nihu Jm » February 21st, 2020, 8:58 am

Nihu Jm
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Posts: 1

Re: PEDS Custom Reports

Postby Mabel Goodrich, II » May 2nd, 2020, 7:52 am

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Mabel Goodrich, II
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Posts: 1

Re: PEDS Custom Reports

Postby Jason L. Smith, FSC » May 7th, 2020, 10:25 pm

Health-care data are messy. Considering the number of data collectors in a clinic or hospital or health-care system, from nurses to physicians to registrars to coders, and the various data captures, from physician notes to pathology reports to coding abstractions, the potential for interpretation and recorder biases are numerous, resulting in the familiar adage of “garbage in, garbage out.” Combining non–health-care data sources with traditional health-care data is further fraught with concerns given the often-lacking data governance across these data sets. For instance, inconsistent data definitions can result in a multitude of ways to define quality. This can exist even in disparate data elements, ie, those requiring a predetermined set answer or response. For example, readmissions rates may be calculated differently both within and across health-care systems, depending on the variability of defining admission types, clouding the ability to establish actionable or comparable insights. Furthermore, significant portions of health-care data reside in unstructured formats (non-predetermined set of answers or responses), such as provider notes. Without adoption of advanced data science techniques such as natural language processing, these unstructured data will remain untapped deck builder omaha ne
Data scientists in health-care and other industries have begun to break down the barriers of big data through standardizing data terms and extracting unstructured data. Data quality and management tools are becoming ubiquitous throughout the data science world, tying down specific approaches to normalize health-care data at the practice, clinic, hospital, or health system level. Natural language processing, still in its infancy, is already showing promise in translating unstructured data in patient encounter notes into structured discrete variables. In a recent study, for example, natural language processing, the process of extracting specific information from free-text data entry, such as daily provider progress notes, in concert with big data analytics was used to predict discharge success in the NICU.
Jason L. Smith, FSC
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Posts: 6

Re: PEDS Custom Reports

Postby Jason L. Smith, FSC » May 20th, 2020, 1:12 am

This is really an interesting tool and helpful | tree lopping
Jason L. Smith, FSC
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Posts: 6


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