Clinicians can use data to improve daily clinical practice. This paper
offers eight principles for using data to support improvement in busy
clinical settings: 1) seek usefulness, not perfection, in the measure
ment; 2) use a balanced set of process, outcome, and cost measures; 3)
keep measurement simple (think big, but start small); 4) use qualitat
ive and quantitative data; 5) write down the operational definitions o
f measures; 6) measure small, representative samples; 7) build measure
ment into daily work; and 8) develop a measurement team.The following
approaches to using data for improvement are recommended. First, begin
with curiosity about outcomes or a need to improve results. Second, t
ry to avoid knee-jerk, obstructive criticism of proposed measurements.
Instead, propose solutions that are practical, goal-oriented, and goo
d enough to start with. Third, gather baseline data on a small sample
and check the findings. Fourth, try to change and improve the delivery
process while gathering data. Fifth, plot results over time and analy
ze them by using a control charter other graphical method. Sixth, refi
ne your understanding of variation in processes and outcomes by dividi
ng patients into clinically homogeneous subgroups (stratification) and
analyzing the results separately for each subgroup. Finally, make fur
ther changes while measuring key outcomes, over time. Measurement and
improvement are intertwined; it is impossible to make improvements wit
hout measurement. Measuring and learning from each patient and using t
he information gleaned to test improvements can become part of daily m
edical practice in local settings.