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2005 Quality
and Productivity Research Conference
Carlson School of Management
University of Minnesota
Minneapolis, Minnesota
May 18-20, 2005
Theme: Data, Quality
Transformation,
and the Health Care Supply Chain
It is universally recognized that the United States is in the midst of a health care delivery crisis. Whether the issue is patient safety, health care affordability, drug efficacy and safety, medical malpractice, or the development of new genetic or hardware technologies, a day rarely passes when these issues are not reported upon in the media or debated in our legislatures. It is clear that a transformation of the health care delivery system is underway. The 2005 QPRC will showcase new developments in the ways that business and healthcare leaders, statisticians, quality professionals, information technology professionals, and managers are contributing to this transformation.
The theme of the conference is: “Data, Quality Transformation, and the Health Care Supply Chain.” Topics to be explored include:
•
Data and healthcare policy
• Data mining in Health Care
• Statistical issues in the pharmaceutical industry
• New developments in Six Sigma; with applications to the medical
device industry
• Performance measurement and provider profiling in healthcare
organizations
• CEO Panel: The view from the top---the role of statistics and
data in health care organizations
• The quality transformation in healthcare delivery
• Applications of Lean/Sigma in healthcare organizations
• New developments in quality control
• New developments in the design of experiments
• New dimension reduction techniques with application to bioinformatics
Presentations will include invited talks, contributed talks, keynote presentations, and panel discussions by prominent leaders in business and the healthcare professions.
Conference
Location: Carlson School of Management, University of Minnesota,
Minneapolis, Minnesota.
Hosts and Academic Sponsors: Carlson School of Management
and The Juran Center for Leadership in Quality.
Industrial Sponsor: Guidant Corporation
Program Committee:
James Buckman, University of Minnesota
Frederick W. Faltin, The Faltin Group
Valeri Fedorov, Glaxo Smith Kline
Blanton Godfrey, North Carolina State University
Douglas Hawkins, University of Minnesota
Mark Johnson, University of Central Florida
Bradley Jones, SAS Institute, Inc,
Michael Kutner, Emory University
William Li, University of Minnesota
Dennis Lin, Penn State University
Christopher Nachtsheim, (Conference Chair) University of Minnesota
Stephen Parente, University of Minnesota
John Ramberg, University of Arizona
Both the optional HIMSS conference and the optional Pre-conference Tutorial will be held on Tuesday, May 17th. Persons attending both the 2005 QPRC and the HIMSS conferences can register at reduced rates for each conference. You must register separately for each conference. For the HIMSS conference register at www.himss-mn.org.
The registration fee is $225 before May 8th, and $250 after May 8th. For students the registration fee is $75 before May 8th, and $80 after May 8th. Registration includes all conference materials, continental breakfasts, lunches, the conference banquet on Wednesday, and the Riverboat Cruise and dinner on Thursday!
The pre-conference tutorial is $185, $50 for students.
Click
here to register online
Click
here to download PDF form
Holiday
Inn Metrodome
1500 Washington Ave S.
Minneapolis, Minnesota 55454
1-800-448-DOME
http://www.metrodome.com/
The hotel is located about four blocks from the Carlson School of Management, the conference site. The conference room rate is $99 per night plus 13% tax. The conference room rate will be available until April 28, 2005 and will apply for participants three days prior to and three days following the conference room block dates of May 17-19, 2005, on a space available basis.
When reserving your sleeping room, you will need to let the Holiday Inn Metrodome know that you are with the Quality and Productivity Research Conference (QPRC) to receive the conference rate. If you are making your sleeping room reservation on line, please use the three-letter code ASA and enter it in the "Group Booking Code" box when reserving your room online.
Choose one of the following formats to view or download the conference program.
Adobe Acrobat (PDF)
Microsoft Word (DOC)
Pre-conference Workshop: A Short Course on Data Mining
Morgan
Wang
Professor and Director, Data Mining Program
Mark Johnson
Professor
Department
of Statistics
University of Central Florida
Health care decision makers can acquire massive amounts of data that should be useful in a variety of contexts, if only they could house the data in a convenient framework amenable to statistical analysis. Data mining (DM) methods provide a mechanism for extracting information from large sets of observational data. This short course will introduce the participants to the large array of available statistical methodologies currently implemented in software packages and used in practice. The following is the course outline:
1. Introduction
to data mining (presumes no previous exposure to DM)
Overview (scope, capability, expectations)
2. Case study from start to finish
What you may already know about DM (cluster and discriminant analysis,
outlier detection, step-wise methods)Problem background
3. Primer on a Data Mining Software Tool
Issues of interest
Data preparation
Software in action
Conclusions from the data mining methods
Conclusions for the client
4. Additional
case studies highlighting specific data mining methods
5. Issues specific to health care applications
6. Research directions in data mining
The presenters expect a software partner to provide a 30-day trial version of the package for each participant in the short course.
Motivated participants should be able to apply the methodology to their application area at the completion of the course (assuming a basic understanding of statistical methods and some computer savvy in learning a new, but user-friendly package).
The
course will commence at 9:30 and will formally finish at 4:00pm (with
a one hour lunch break). The presenters will be available from 4-5 pm
to advise the participants on their specific applications.
Short Course Fee: $185.00
Student Short Course Fee: $50.00
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The mission of the Quality and Productivity Research Conference is to improve the quality of products and services and the productivity of industries by stimulating the research and development of better statistical methods, and to identify new application areas where statistics can have a significant impact.
The conference emphasizes research and development of statistical and management methods driven by important applications and includes topics such as case studies, communication, and management. The primary customers are industrial, quality and healthcare-related statisticians; academicians interested in quality improvement and related applications; quality professionals and quality managers, engineers, managers and technical managers; and statistics, management, and engineering students. The conference is sponsored by the Quality and Productivity Section of the American Statistical Association.
In 1984, AT&T Bell Laboratories organized the first Quality and Productivity Research Conference (QPRC), known as the Mohonk Conference. This first conference, and others that followed, stimulated development of modern methods for product and process design, manufacturing, and other business processes. The conference is sponsored by the Quality and Productivity Section of the American Statistical Association (ASA). It includes a pre-conference full day tutorial, plenary/invited/contributed/tutorial sessions, and special events.
The Carlson School and the Juran Center for Leadership in Quality will serve as the host (academic) sponsors for the 2005 Quality and Productivity Research Conference (Q&PRC) of the American Statistical Association, to be held at the Carlson School of Management on May 18-20, 2005. The theme of this year’s conference will be Quality and Productivity in Healthcare and Healthcare-Related Products.
Below are the themes and sponsors for four of recent conferences:
2004:
Six Sigma: What Works and What Doesn't
(North Carolina State University and SAS Institute)
2003: Data + Statistics = Competitive Advantage
(Rutgers and IBM)
2002: Industrial Statistics: A Competitive Necessity
(University of Texas, AMD, Sematech)
2001: Six Sigma Quality: Accomplishments, Opportunities,
and Challenges (GE and RPI)
Links to Previous Conferences: Here
CALL FOR
PAPERS – ASA QPRC 2005
2005 Quality and Productivity Research Conference
Theme:
Data, Quality Transformation, and the Healthcare Supply Chain
May 18-20, 2005
Carlson School of Management
University of Minnesota
Minneapolis, Minnesota
The 21st annual Quality and Productivity Research Conference invites researchers and practitioners to submit contributed papers for presentation at the conference, to be hosted this spring by the Carlson School of Management in Minneapolis, MN. The purpose of the Quality and Productivity Research Conference (QPRC) is to improve the quality of products and services and the productivity of industries by stimulating the research and development of better statistical and management methods for quality and productivity improvement. The conference emphasizes research and development of statistical and management methods driven by important applications and includes topics such as case studies, communication, and management. The primary customers are industrial, quality and healthcare-related statisticians; academicians interested in quality improvement and related applications; quality professionals, quality and other technical managers, and engineers; and statistics, management, and engineering students. The conference is sponsored by the Quality and Productivity Section of the American Statistical Association.
Presentations will include invited talks, contributed talks, keynote presentations, and panel discussions by prominent leaders in business and the healthcare professions.
Papers in all aspects of enhancing the quality of products and services and the productivity of industries through data analysis and statistical methodologies are welcome. Some typical areas of interest include:
•
Quality control
• Six Sigma, lean sigma, and related methodologies
• Data mining
• Regression analysis
• Design of experiments
• Product reliability
• Process control and improvement
• Quality function deployment
• Quality management, standards, and awards
• Forecasting
Submission Requirements:
For consideration, a one-page abstract should be sent to cnachtsheim@csom.umn.edu by March 4, 2005. Receipt of all abstract submissions will be confirmed by email. Acceptance notices will be delivered by March 19, 2005.
Final papers (up to 8 pages in length) must be submitted electronically to the above email address by April 20, 2005. These papers will be made available on the web and distributed at the workshop on a CD-ROM.