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Data analysis, research, and informatics in healthcare

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Data analysis, research, and informatics in healthcare

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Week 7

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Mindscape: Nursing Research and Excellence at Menninger

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Mindscape: Nursing Research and Excellence at Menninger

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Mindscape: Nursing Research and Excellence at Menninger

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Jane Mahoney, PhD, RN, PMHCNS-BC, discusses nursing research projects and their impact on patient care at Menninger.

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Nursing Informatics is the "science and practice (that) integrates nursing, its information and knowledge, with information and communication technologies to promote the health of people, families, and communities worldwide." (adapted from IMIA Special Interest Group on Nursing Informatics 2009). The application of nursing informatics knowledge is empowering for all healthcare practitioners in achieving patient centered care.

Nurse informaticians work as developers of communication and information technologies, educators, researchers, chief nursing officers, chief information officers, software engineers, implementation consultants, policy developers, and business owners, to advance healthcare. Core areas of work include:

Concept representation and standards to support evidence-based practice, research, and education

Data and communication standards to build an interoperable national data infrastructure

Research methodologies to disseminate new knowledge into practice

Information presentation and retrieval approaches to support safe patient centered care

Information and communication technologies to address inter-professional work flow needs across all care venues

Vision and management for the development, design, and implementation of communication and information technology

Definition of healthcare policy to advance the public's health

AMIA's Nursing Informatics Working Group serves as the United States' representative to the International Medical Informatics Association (IMIA) Nursing Informatics Special Interest Group.
NIWG Community Access (Members Only)
Visit the online community for this group at http://connect.amia.org/NI-WG

To send a message to this group, please use
amia-NIWG@connectedcommunity.org

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Nursing Informatics is the "science and practice (that) integrates nursing, its information and knowledge, with information and communication technologies to promote the health of people, families, and communities worldwide." (adapted from IMIA Special Interest Group on Nursing Informatics 2009). The application of nursing informatics knowledge is empowering for all healthcare practitioners in achieving patient centered care.

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A-Z Databases - Swisher Library Research Guides at Jacksonville University

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Find the best library databases for your research.

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Nursing Research: Bringing Science to Life

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Nursing Research: Bringing Science to Life

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Nursing Research: Bringing Science to Life

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National Institute of Nursing Research Director Dr. Patricia A. Grady gives an overview of NINR and discusses the role that nursing research plays in advancing health. Dr. Grady offers examples of NINR-supported research in key focus areas, which include symptom science, wellness, self-management, end-of-life and palliative care, innovation, and training the next generation of nurse scientists.

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Johns Hopkins University School of Nursing

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Nursing Outlook: Nursing Informatics / Christopher G. Chute

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"Nursing Outlook" is an expert series featuring Johns Hopkins nursing faculty members who are redefining nursing through their innovation, leadership, research, practice, and service, both within their specialty areas and the profession as a whole. Bloomberg Distinguished Professor of Health Informatics Christopher G.

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Nursing Informatics: Connecting Patient Care and Technology

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Nursing Informatics: Connecting Patient Care and Technology

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University of Maryland School of Nursing

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Nursing Informatics: Connecting Patient Care and Technology

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Data Analysis is used by Multidisciplinary Teams

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Data Analysis is used by Multidisciplinary Teams

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1. How Does Data Analysis impact evidenced based nursing care? Hint see NINR

2. Name Five (5) Inpatient CDSS Vendors

3.   Go to : WHO see link Health statistics and information systems :

Data analysis tools - Data quality assessment : Link Below

http://www.who.int/healthinfo/tools_data_analysis/en/
Scroll down to : Child Mortality Estimates (CME) link below;
http://www.childmortality.org/
On left side of THAT page choose :  Click here to explore country data
Choose a country - will appear right upper hand corner of that page
for example :  I chose CHAD  and the second data point:
259.50 mortality rate for age under 5 in 1975

YOU ARE TO CHOOSE A COUNTRY
CHOOSE A DATA POINT
RECORD THAT INFORMATION AND PUT THE GRAPH IN YOUR POST.

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World Health Organization

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Health facility data are a critical input into assessing national progress and performance on an annual basis and they provide the basis for subnational / district performance assessment. WHO proposes the Health Facility Data Quality Report Card (DQRC), a methodology that examines several dimensions of data quality through a desk review of available data and a data verification survey.

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In Healthcare

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Uploaded by AHIMAonDEMAND on 2014-10-07.

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Right Tools & Knowledge

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Thumbs up

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Informatics and Research

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Methodology Corner Measurement Matters: Improving Measurement Practices in Nursing Education Research Darrell R. Spurlock, PhD, RN, NEA-BC, ANEF    Journal of Nursing Education    May 2017 - Volume 56 · Issue 5: 257-259    Posted May 3, 2017    DOI: 10.3928/01484834-20170424-01

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Methodology Corner Measurement Matters: Improving Measurement Practices in Nursing Education Research Darrell R. Spurlock, PhD, RN, NEA-BC, ANEF    Journal of Nursing Education    May 2017 - Volume 56 · Issue 5: 257-259    Posted May 3, 2017    DOI: 10.3928/01484834-20170424-01

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ABSTRACT
Measurement is a fundamental but often overlooked component of research design and scientific inquiry. In quantitative study designs, the data that are collected, the statistical analyses conducted, and the conclusions drawn from those analyses all hinge on the validity, reliability, and appropriateness of measurements taken during the investigation. Missteps in the measurement process can undermine the validity of a study's findings and in doing so, efforts to advance the science of nursing education will fall short. This month's Methodology Corner article highlights several important measurement-related considerations for nursing education researchers seeking to build the evidence base—the body of knowledge about nursing education—on which instructional, curricular, policy, and planning decisions are made. [J Nurs Educ. 2017;56(5):257–259.]

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Advancing Nursing Research Through Data Science

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Advancing Nursing Research Through Data Science | National Institute of Nursing Research

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Advancing Nursing Research Through Data Science

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Top Vendors

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Data Driven Approaches Advancing Healthcare

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Data Driven Approaches Advancing Healthcare

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Lucila Ohno-Machado

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Advancing healthcare and biomedical research via new data-driven approaches

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Every issue of JAMIA presents articles related to biomedical data science: from algorithms that discover and validate data-driven patterns, to big data indexing

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Informatics & Data Analytics

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Find Out about AHIMA’s Informatics and Data Analytics Resources

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US Census Bureau

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Keeping pace with our dynamic economy and society constantly challenges the Census Bureau's data collections. Our users want more data, and want it sooner. The cost of using our existing methods keeps going up, while statistical budgets are tight. We stay current by making research the basis of everything we do at the Census Bureau. Our researchers explore innovative ways to conduct surveys, increase respondent participation, reduce costs, and improve accuracy. They analyze the data we collect and uncover trends that give us a deeper understanding of our complex society.

This investment in our nation's statistical infrastructure enables our leaders to make decisions based on the best information available. We've designed these pages to give analysts, academic researchers and policymakers improved access to the data tools and research they need to move our country forward.

Our Researchers

Census researchers engage in challenging and rewarding work in a wide variety of fields with the goal of improving the quality and efficiency of Census Bureau censuses, surveys, and data products.

Meet our researchers

View our researcher's publications

Changing Research Environment

In response to the growing literature in mathematics, computer science and statistics, which suggests that traditional statistical disclosure limitation or disclosure avoidance methods may not be strong enough to protect public-use tabular and microdata releases in the future, the Census Bureau has launched a major effort to modernize. Our current efforts focus on the 2020 Census of Population and Housing, the American Community Survey, and the 2017 Economic Census. Eventually, we will extend them to all public-use products released under the Bureau's Title 13 confidentiality pledge.
Continue Reading

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ASD, Tony House and Laura Yax, census.research@census.gov

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Keeping pace with our dynamic economy and society constantly challenges the Census Bureau's data collections. Our users want more data, and want it sooner. The cost of using our existing methods keeps going up, while statistical budgets are tight. We stay current by making research the basis of everything we do at the Census Bureau.

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An efficient data mining classification approach for detecting lung cancer disease

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An efficient data mining classification approach for detecting lung cancer disease - IEEE Conference Publication

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Background: Automated disease classification using machine learning often relies on features derived from segmenting individual objects, which can be diffi

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Mitochondrial function in Cancer Related Fatigue

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Profile: Dr. Kristin Filler, NINR Division of Intramural Research

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National Institute of Nursing Research (NINR)

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National Institute of Nursing Research (NINR)

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NINR Overview Video -- Segment 1: Introduction/NINR History, Mission & Strategic Plan

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https://secure.brightstat.com/index.php

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BrightStat tips

2016-08-25

Problem with Firefox on Windows

Occasionally variables can not be selected in variable lists in BrightStat's web application. In such a case try another web-browser. Generally I recommend Chrome, Edge or Safari for BrightStat.com web application.

2016-05-12

Excel upload

You can upload your data in Microsoft Excel ™ format. If this does not work, you can always export your data as a tab-delimited text file from within Microsoft Excel ™ and upload the text file. This should work properly. Read more about how to prepare your data for BrightStat

2016-01-28

Presicion

By default brightstat rounds the results to five and p-values to three decimal places. If you need more presicion, just click on the the result cell in the output table.

2015-11-24

Automatic recode

BrightStat lets you recode categorical variables, often coded as strings, into ascending numbers automatically. Just select 'Automatic Recode' in the 'Data Menu' and indicate the variables to be recoded. The old values will be stored as value labels for the new numeric variable.

2015-11-03

BrightStat sample files

In the 'Data Menu' there is 'Load Sample Datafile' in the first column 'Data File'. There you'll find a list of sample files (including files for all examples on BrightStat's website). So you can start discovering BrightStat right away.

2015-09-17

BrightStat calculator

BrightStat has a built in calculator which allows you to compute new variables with existing ones. If you have measured the weight (in kg) and height (in meters) of n subjects you can easily compute the body mass index (BMI) for all subjects. If your variables are named 'weight' and 'height' the formula would be: _weight/_height^2.
The sample file 'BodyFat' contains the variables 'Weight' (pounds) and 'Height' (inches), so the formula for calculating the BMI needs some adjustment in that case: (_Weight*0.45359237)/(_Height*2.54/100)^2.
Note: In the formula a variable name is always preceded by an underscore '_'.

2015-09-03

Editing your data

BrightStat is not intended to be a data editor. Small changes can be done without problems but be aware that editing your data in Brighstat's data window may be very time consuming, especially with larger data files.
It is strongly recommended to prepare your data for BrightStat before uploading it into the database. A period '.' will be treated as a missing value.
How to prepare your data for BrightStat

2015-08-12

Set data filter

You can define a filter variable for your data. Analysis and graphs are then performed for selected cases only. Select 'Filter Data' from the menu and indicate which values of which variables should be included in the analysis.

2015-08-04

Split your datafile

You can split your datafile using a categorical variable. All tests and/or graphs are then performed for the individual categories of the split variable. Select 'Split Data' from the menu and indicate one or more split variables.

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2016-08-25 Problem with Firefox on Windows Occasionally variables can not be selected in variable lists in BrightStat's web application. In such a case try another web-browser. Generally I recommend Chrome, Edge or Safari for BrightStat.com web application. 2016-05-12 Excel upload You can upload your data in Microsoft Excel ™ format.