As an organisation grows, the amount of data they handle on a daily basis tends to increase exponentially. From patients’ or clients’ information to financial or operational data, if the proper care is not given to maintaining clean data, the consequences for an organisation can be significant.
Time and Efficiency
Having to constantly look through your systems to locate the right information can lead to inefficiencies. If you don’t have a way to quickly identify the most up-to-date record, contract, or document, there is the potential to lose valuable time that could translate to financial loss or a poor level of service to your customers.
With the right data cleansing processes in place, you can be assured that you are always looking at the right record, document, and contract, that tasks are not being sent to vacant positions, and that there is integrity in data analytics.
Clean data and the power of analytics
If your data is inaccurate, it means that you can’t trust it to help you improve your organisational processes. On the other hand, clean data can be a gold mine for insights to support internal continuous improvement and can also help to uncover emerging trends and be a force for change. Our customers at Health Hawke’s Bay understood that perfectly. They knew they needed a system that would help them to analyse the range and type of incidents their member practices were experiencing and to use this information to drive improvements.
“The analytics data that we retrieve, allows us to identify emerging issues promptly and more effectively. We now have a deeper level of insight, which is given by the consolidated incident trend data. This really helps us to have productive conversations with the practices, because we can better support the reason for change with evidence and drive adoption, which ultimately leads to new and better health services and outcomes for the community.” Says Erika Hunt, Quality Manager at Health Hawke’s Bay.
What’s the solution?
Building and sustaining long-term data cleansing processes takes a combination of the right tools and the right culture. The task is made much easier if the organisational culture values data integrity and if you use a QMS that enables staff to correctly code the data when reporting adverse events, where in-built workflows support data checking, where system functionality enables you to cross-check how the data has been coded.
To learn more about how LogiqcQMS can support good data cleansing processes, get in touch!
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