Meaningful Use of School Health Data

2010 ◽  
Vol 27 (2) ◽  
pp. 102-110 ◽  
Author(s):  
Kathleen Hoy Johnson ◽  
Martha Dewey Bergren
Keyword(s):  
School Health ◽  
Meaningful Use ◽  
Health Data

scholarly journals Managing Free Text for Secondary Use of Health Data

2014 ◽  
Vol 23 (01) ◽  
pp. 167-169 ◽  
Author(s):  
N. Griffon ◽  
J. Charlet ◽  
S. J. Darmoni ◽  
Keyword(s):  
Language Processing ◽  
Meaningful Use ◽  
Health Data ◽  
Structured Data ◽  
The Other ◽  
Free Text ◽  
Reference Resolution ◽  
Comprehensive Review ◽  
Secondary Use ◽  
Corpus Creation

Summary Objective: To summarize the best papers in the field of Knowledge Representation and Management (KRM). Methods: A comprehensive review of medical informatics literature was performed to select some of the most interesting papers of KRM and natural language processing (NLP) published in 2013. Results: Four articles were selected, one focuses on Electronic Health Record (EHR) interoperability for clinical pathway personalization based on structured data. The other three focus on NLP (corpus creation, de-identification, and co-reference resolution) and highlight the increase in NLP tools performances. Conclusion: NLP tools are close to being seriously concurrent to humans in some annotation tasks. Their use could increase drastically the amount of data usable for meaningful use of EHR.

Introducing NASN’s New Data Initiative: National School Health Data Set: Every Student Counts! Make This YOUR Year of Data

2018 ◽  
Vol 33 (5) ◽  
pp. 291-294 ◽  
Author(s):  
Erin D. Maughan ◽  
Kathleen H. Johnson ◽  
Martha Dewey Bergren
Keyword(s):  
School Health ◽  
School Nurses ◽  
Health Data ◽  
National Association ◽  
Data Driven ◽  
School Nursing ◽  
Health Culture ◽  
Data Set ◽  
School Year ◽  
National School

The National Association of School Nurses (NASN) is launching a new data initiative: National School Health Data Set: Every Student Counts! This article describes the vision of the initiative, as well as what school nurses can do to advance a data-driven school health culture. This is the first article in a data and school nursing series for the 2018-2019 school year. For more information on NASN’s initiative and to learn how school nurses can join the data revolution, go to http://nasn.org/everystudentcounts

Data Integrity: Beware of Viruses

2004 ◽  
Vol 20 (4) ◽  
pp. 234-235 ◽  
Author(s):  
Martha Dewey Bergren ◽  
Martha Dewey Bergren
Keyword(s):  
School Health ◽  
Data Integrity ◽  
School Nurses ◽  
Health Data ◽  
Student Health ◽  
Legal Obligation ◽  
Health Records ◽  
Computer Viruses ◽  
Office Employees

School nurses and health office employees are the creators and caretakers of legal documentation. School nurses have an ethical and legal obligation to protect the integrity of electronic student health records. Although there are many threats to data integrity, from inadequate hardware to electrical surges, one of the most pervasive threats to data is computer viruses. There are many precautions that can be taken to protect electronic student health data from viruses in the school health office.

scholarly journals Meaningful Use of Electronic Behavioral Health Data in Primary Health Care

2012 ◽  
Vol 4 (119) ◽  
pp. 119mr3-119mr3 ◽  
Author(s):  
B. Tai ◽  
M. Boyle ◽  
U. Ghitza ◽  
R. M. Kaplan ◽  
H. W. Clark ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Behavioral Health ◽  
Meaningful Use ◽  
Health Data ◽  
Primary Health

scholarly journals Introducing the 3S (Student–School Nurse–School Community) Model

2018 ◽  
Vol 34 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Linda C. Wolfe ◽  
Erin D. Maughan ◽  
Martha Dewey Bergren
Keyword(s):  
Data Collection ◽  
School Health ◽  
Nursing Practice ◽  
Visual Representation ◽  
School Nurse ◽  
School Community ◽  
Health Data ◽  
School Nursing ◽  
Community Model

Data collection and use is an integral competency for school nursing practice. The 3S (Student–School Nurse–School Community) Model is a visual representation of how to categorize school health data and identify what data are needed. This article introduces the model and shows a logical progression of how data align to influence outcomes and provides a tool for analyzing school health data.

Does Every Student Count! in Your State? Update on the National School Nurse Dataset

2020 ◽  
Vol 35 (2) ◽  
pp. 89-90
Author(s):  
Erin D. Maughan
Keyword(s):  
School Health ◽  
School Nurse ◽  
School Nurses ◽  
Health Data ◽  
Data Set ◽  
National School

The NASN launched a new data initiative in 2018 called: The National School Health Data Set: Every Student Counts! The initiative includes three distinct foci or prongs. This article reports on the progress of states participating in Every Student Counts! For more information on NASN’s initiative and to learn how school nurses can join the data revolution, go to http://nasn.org/everystudentcounts .

The National School Health Data Set: Every Student Counts! New Data Platform

2020 ◽  
Vol 36 (1) ◽  
pp. 29-31
Author(s):  
Erin D. Maughan ◽  
Martha Dewey Bergren ◽  
Kathleen Johnson
Keyword(s):  
School Health ◽  
School Nurses ◽  
Health Data ◽  
National Association ◽  
Data Set ◽  
National School ◽  
Data Platform

The National Association of School Nurses’ (NASN’s) data initiative The National School Health Data Set: Every Student Counts! (Every Student Counts!) is getting a new platform! This article reviews what Every Student Counts! is and shares some of the new features of the platform. For more information on NASN’s initiative and to learn how school nurses can join the data revolution go to http://nasn.org/everystudentcounts

Sign in / Sign up

Export Citation Format

Share Document