Tracy sent me this interesting article about an online database that allows consumers to lookup hospital performance in regards to medical mistakes. It is tragic that we (healthcare providers) don't do a better job before being publically reviewed or criticized by the public and outside agencies such as CMS and Joint Commission.
New database lets consumers track medical mistakes by hospital The state Department of Health announced its new online database Thursday, which allows consumers to look up medical mistakes by
hospital and date.
* Read the full article at:
http://seattlepi.nwsource.com/local/424609_adverse.html
This blog serves two main purposes. It includes tips on learning using technology, especially as it supports the 5th edition of the textbook, Informatics & Nursing: Opportunities and Challenges, that I authored. The blog also includes tips about informatics strategies that add to the scholarship of nursing and teaching/learning excellence.
Showing posts with label Quality Improvement. Show all posts
Showing posts with label Quality Improvement. Show all posts
Saturday, August 7, 2010
Monday, July 26, 2010
Knowledge Discovery in Databases
Three new resources have been added to the textbook Informatics and Nursing web site at http://dlthede.net/Informatics/Informatics.html :
July 25, 2010 Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From Data Mining to Knowledge Discovery in Databases. AI Magazine -American Association for Artificial Intelligence, Fall, 37-54. Although old, some very basic information and real world information. It provides a historical perspective given the development of KDD (knowledge discovery in databases) today. (Chapter 10). Retrieved from
http://www.kdnuggets.com/gpspubs/aimag-kdd-overview-1996-Fayyad.pdf
July 25, 2010 Health Data Stewardship: What, Why, Who, How: An NCVHS Primer (2009). Contains an excellent table of resources for more information about the topic.
"Health data stewardship is a responsibility, guided by principles and practices, to ensure the knowledgeable and appropriate use of data derived from individuals’ personal health information. These uses include (but are not limited to) data collection, viewing, storage, exchange, aggregation, and analysis." (p. 1)
(Chapter 10). Retrieved from http://www.ncvhs.hhs.gov/090930lt.pdf
July 25, 2010 NATIONAL COMMITTEE ON VITAL AND HEALTH STATISTICS (2007). Enhanced Protections for Uses of Health Data: A Stewardship Framework for “Secondary Uses” of Electronically Collected and Transmitted Health Data.
The recommendations that are made in this report were guided by the goal of enabling improvements in health and health care, while balancing other needs including the need to: maintain or strengthen individual’s health information privacy while enabling improvements in health and health care, facilitate uses of electronic health information, increase the clarity and uniform understanding of laws and regulations pertaining to privacy and security of health information, build upon existing legislation and regulations whenever possible, and not result in undue administrative burden. (Chapter 10). Available from
http://www.ncvhs.hhs.gov/071221lt.pdf
July 25, 2010 Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From Data Mining to Knowledge Discovery in Databases. AI Magazine -American Association for Artificial Intelligence, Fall, 37-54. Although old, some very basic information and real world information. It provides a historical perspective given the development of KDD (knowledge discovery in databases) today. (Chapter 10). Retrieved from
http://www.kdnuggets.com/gpspubs/aimag-kdd-overview-1996-Fayyad.pdf
July 25, 2010 Health Data Stewardship: What, Why, Who, How: An NCVHS Primer (2009). Contains an excellent table of resources for more information about the topic.
"Health data stewardship is a responsibility, guided by principles and practices, to ensure the knowledgeable and appropriate use of data derived from individuals’ personal health information. These uses include (but are not limited to) data collection, viewing, storage, exchange, aggregation, and analysis." (p. 1)
(Chapter 10). Retrieved from http://www.ncvhs.hhs.gov/090930lt.pdf
July 25, 2010 NATIONAL COMMITTEE ON VITAL AND HEALTH STATISTICS (2007). Enhanced Protections for Uses of Health Data: A Stewardship Framework for “Secondary Uses” of Electronically Collected and Transmitted Health Data.
The recommendations that are made in this report were guided by the goal of enabling improvements in health and health care, while balancing other needs including the need to: maintain or strengthen individual’s health information privacy while enabling improvements in health and health care, facilitate uses of electronic health information, increase the clarity and uniform understanding of laws and regulations pertaining to privacy and security of health information, build upon existing legislation and regulations whenever possible, and not result in undue administrative burden. (Chapter 10). Available from
http://www.ncvhs.hhs.gov/071221lt.pdf
Labels:
Data Mining
,
Health Data Stewardship
,
KDD
,
Knowedge Discovery
,
Quality Improvement
Monday, July 12, 2010
Data Exchange Software
Tracy is better than an RSS feed because she analyzed resources that she knows interest me. She sent this site - MONAHRQ http://monahrq.ahrq.gov/ . MONARQ is free downloadable software that provides the ability for data exhange. Interesting! The prerequisites for use are .NET 2.0 and Microsoft SQL. The download site provides links to both and they are free apps. I am really looking forward to learning more.
Quote from the web site:
"MONAHRQ analyzes, summarizes, and presents information in a format ready for use by consumers and other decision-makers on:
Quote from the web site:
"MONAHRQ analyzes, summarizes, and presents information in a format ready for use by consumers and other decision-makers on:
- quality of care at the hospital level,
- health care utilization at the hospital level,
- preventable hospitalizations at the county level, and
- rates of conditions and procedures at the county level."
Labels:
AHRQ
,
Data Exchange
,
Quality Improvement
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