The
Workers’ Compensation industry is often accused of resisting change. Moreover, simple observation bears this out, such as
how long it has taken the industry to address analytics. Having now put its toe
in the water, the industry is still light years behind other industries in implementing
analytics. What is it in the industry culture that causes resistance to change?
An
opportunity can be rather simple, yet taking the necessary steps to achieve it
is daunting to many. An executive was once overheard saying in response to a
proposal, “It all makes sense, but we would need to change the way we do
things to make it happen”. Assuming change will be daunting seems to be a widespread
condition of the culture. However, adopting new methods, can be very much worth
the effort.
“There are risks and costs to action, but
they are far less than the long range risks of inaction” J.F. Kennedy
Small change
Still,
it may not be the risk of change that is the deterrent to action, but rather
the effort required. An example of a small change that could significantly
impact claim cost and outcome is improving data quality. Analytics are totally
dependent on data quality so if it is inaccurate or incomplete, the analytics are
of less value—a poor trade.
Don’t depend on IT
One
thing that makes improving data quality intimidating is that it is not an IT responsibility.
Even when IT can play a part in improving data quality, it is management that must demand
it. Refer to Why Poor Data Quality is Not an IT Problem.
Data
quality is a management challenge. Changing data quality is a management
leadership issue and a fairly simple one. Data fields must be filled completely
and accurately. Duplicates must be avoided. Moreover, individuals and processes
must be held accountable for quality by management.
Source data
Sometimes
the problem of data quality is the source of the data. Bill review data may not
contain all the data fields needed, for instance. Again, only management can
address the problem with the vendor organization.
Sustaining change
A significant
amount of the effort needed for change is not so much mobilizing the action,
but sustaining the initiatives. Change directives must become an integral part
of the organization’s process. Management must continually check to see that mandates
are carried out and which have slipped. Performance accountability is key.
Management owns data quality
The degree
to which a change initiative is successful is positively correlated with
management oversight. It is not difficult, but it can be tedious. In this
regard, a definition of management is:
Good management is continually making sure
what you did stays done.
Initiate
the change, then follow up to insure continued practice. The real challenge is
to keep doing it. As for accurate and complete data,
it is the only affordable and practical resource on the horizon to advance to
the next levels of medical management and measureable cost control through analytics. Only
management can change data quality.
Karen
Wolfe is the founder and President of MedMetrics, LLC, an Internet-based Workers’
Compensation analytics company. MedMetrics offers online apps that super-charge
medical management by linking analytics to operations. karenwolfe@medmetrics.org
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