Data collection

CHAPTER 20 Data collection





Introduction


In the developed world there is a ‘Quality Chasm’ between the quality of care that can be achieved and the quality and consistency of care that is being delivered. Several types of quality problems have been documented including, undue variation within services, underuse of services, overuse of services, misuse of services, and regional or ethnic disparities. Health care’s problems with safety and quality are often because it relies on outdated systems of work. Only by re-designing systems of care including the use of information technology and automated decision support will consistently improved quality of care be delivered. Both in the United States of America (USA)1 and in the United Kingdom (UK)2 major reports have highlighted these problems and charted a route to higher quality health care in the future.


These reports defined the aims for health care systems as providing safe, effective, patient-centered, timely treatment and doing so efficiently and equitably. The design principles for achieving this include: continuous relationships, evidence-based decision making, customization based on patient need, patient control, shared knowledge, and safety as a system property. In addition the health system should not waste resources or patients’ time and clinicians and institutions must cooperate and communicate to share appropriate information.


The focus of medical training has traditionally been on the central role of the doctor–patient relationship. There has been a lack of attention on the system infrastructure that supports that relationship and informs correct decision making. Each group of health care staff is typically trained separately and this can compromise the effectiveness of teams and slow the changes in roles that are needed as practice changes.


It is widely recognized that individuals and organizations can only improve performance by incorporating measures of processes and outcomes into daily work.


Defining what data needs to be collected and how this should be used and shared is therefore at the heart of high quality health care.


Jun 4, 2016 | Posted by in OPHTHALMOLOGY | Comments Off on Data collection

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