Difference between revisions of "User:Shawndouglas/sandbox/sublevel1"

From LIMSWiki
Jump to navigationJump to search
 
(178 intermediate revisions by the same user not shown)
Line 1: Line 1:
Without a doubt, it's vital that medical diagnostic and research laboratories operate within the bounds of a regulatory atmosphere, not only to better ensure the best patient outcomes but also to ensure the quality of test results, the privacy of patient information, and the safety of personnel. Maintaining regulatory compliance requires deliberate approaches to developing and enforcing processes and procedures, quality training, consistent communication, and knowledgeable personnel. It also requires a top-down appreciation and commitment to a culture of quality. From the [[Clinical Laboratory Improvement Amendments]] (CLIA) and [[Health Insurance Portability and Accountability Act]] (HIPAA) to [[21 CFR Part 11]] and the [[General Data Protection Regulation]], laboratories have much to consider in regards to what regulations impact them.
{{Saved book
|title=Introduction to Quality and Quality Management Systems
|subtitle=
|cover-image=Time-Quality-Money.png
|cover-color=#fffccc
| setting-papersize = A4
| setting-showtoc = 1
| setting-columns = 1
}}


That said, consider approaching the question of regulatory compliance from the standpoint of adopting standards. Consider first that the risks and consequences of performing a task poorly drives regulation and, more preferably<ref name="CiocoiuTheRole10">{{cite book |chapter=Chapter 1. The Role of Standardization in Improving the Effectiveness of Integrated Risk Management |title=Advances in Risk Management |author=Ciocoui, C.N.; Dobrea, R.C. |editor=Nota, G. |publisher=IntechOpen |year=2010 |isbn=9789535159469 |doi=10.5772/9893}}</ref><ref name="JPMorganData18">{{cite web |url=https://www.jpmorganchase.com/content/dam/jpmc/jpmorgan-chase-and-co/documents/call-to-action.pdf |format=PDF |title=Data Standardization: A Call to Action |publisher=JPMorgan Chase & Co |date=May 2018 |accessdate=18 November 2021}}</ref>, standardization, which in turn moves the "goalposts" of quality and security among organizations. In the case of regulations, those organization that get caught not conforming to the necessary regulations tend to suffer negative consequences, providing some incentive for them to improve organizational processes and procedures.  
==''Introduction to Quality and Quality Management Systems''==
{{ombox
| type      = content
| style    = width: 500px;
| text      = This book should not be considered complete until this message box has been removed. This is a work in progress.
}}
The goal of this short volume is to act as an introduction to the quality management system. It collects several articles related to quality, quality management, and associated systems.


One of the downsides of regulations is that they can at times be "imprecise" or "disconnected"<ref name="JPMorganData18" /> from what actually occurs within the organization and its information systems. Rather than focusing heavily on regulatory conformance, well-designed standards may, when adopted, provide a clearer path of opportunity for organizations to improve their operational culture and outcomes, particularly since standards are usually developed with a broader consensus of interested individuals with expertise in a given field.<ref name="CiocoiuTheRole10" /> In turn, the organizations that adopt well-designed standards likely have a better chance of conforming to the regulations they must, and they'll likely have more interest in maintaining and improving the goalposts of quality and security in the lab.
;1. What is quality?
:''Key terms''
:[[Quality (business)|Quality]]
:[[Quality assurance]]
:[[Quality control]]
:''The rest''
:[[Data quality]]
:[[Information quality]]
:[[Nonconformity (quality)|Nonconformity]]
:[[Service quality]]
;2. Processes and improvement
:[[Business process]]
:[[Process capability]]
:[[Risk management]]
:[[Workflow]]
;3. Mechanisms for quality
:[[Acceptance testing]]
:[[Conformance testing]]
:[[Clinical quality management system]]
:[[Continual improvement process]]
:[[Corrective and preventive action]]
:[[Good manufacturing practice]]
:[[Malcolm Baldrige National Quality Improvement Act of 1987]]
:[[Quality management]]
:[[Quality management system]]
:[[Total quality management]]
;4. Quality standards
:[[ISO 9000]]
:[[ISO 13485]]
:[[ISO 14000|ISO 14001]]
:[[ISO 15189]]
:[[ISO/IEC 17025]]
:[[ISO/TS 16949]]
;5. Quality in software
:[[Software quality]]
:[[Software quality assurance]]
:[[Software quality management]]


Additionally, reputable software developers of laboratory informatics software will not only adopt their own industry standards for software development but also understand the standards and regulations that affect laboratories and research centers. In turn, the developed software should meet regulations and standards, help the laboratory comply with its regulations and standards, and be of reliably good quality.
<!--Place all category tags here-->
 
If you're a potential buyer of a laboratory informatics solution, it may be that you know a bit about your laboratory's workflow and a few of the regulations and standards that influence how that workflow is conducted, but you're not entirely informed about all the regulations and standards that affect your lab. Turning to a URS such as LIMSpec—which was developed around laboratory regulations and standards—and reviewing the various statements contained within may be necessary to help further inform you. Additionally, as you investigate various informatics options, you can then use the requirements in the URS as a base for your laboratory's own requirements list. Using the categories and their subdivisions, you can then add those requirements that are unique to your laboratory and industry that are not sufficiently covered by the base URS. As you review the various options available to you and narrow down your search, your own list of requirements can be used as both as a personal checklist and as a requirements list you hand over to the vendor you query. And since your URS is based off the standards and regulations affecting your lab, you can feel more confident in your acquisition and its integration into your laboratory workflow.
 
==References==
{{Reflist}}

Latest revision as of 19:46, 9 February 2022

Introduction to Quality and Quality Management Systems
Time-Quality-Money.png
This user book is a user-generated collection of LIMSWiki articles that can be easily saved, rendered electronically, and ordered as a printed book.
If you are the creator of this book and need help, see Help:Books.

Edit this book: Book Creator · Wikitext
Select format to download:

PDF (A4) · PDF (Letter)

Order a printed copy from these publishers: PediaPress
Start ] [ FAQ ] [ Basic help ] [ Advanced help ] [ Feedback ] [ Recent Changes ]


Introduction to Quality and Quality Management Systems

The goal of this short volume is to act as an introduction to the quality management system. It collects several articles related to quality, quality management, and associated systems.

1. What is quality?
Key terms
Quality
Quality assurance
Quality control
The rest
Data quality
Information quality
Nonconformity
Service quality
2. Processes and improvement
Business process
Process capability
Risk management
Workflow
3. Mechanisms for quality
Acceptance testing
Conformance testing
Clinical quality management system
Continual improvement process
Corrective and preventive action
Good manufacturing practice
Malcolm Baldrige National Quality Improvement Act of 1987
Quality management
Quality management system
Total quality management
4. Quality standards
ISO 9000
ISO 13485
ISO 14001
ISO 15189
ISO/IEC 17025
ISO/TS 16949
5. Quality in software
Software quality
Software quality assurance
Software quality management