5 signs about your data is not helping you

  • Written by Ashley Mark
  • Tuesday 24th January 2023
5 signs about your data is not helping you VLMS Healthcare

The wealth of data that healthcare providers now have access to may be used to streamline operations and subsequently increase profitability. With the use of such information, resources can be redistributed to other parts of the company, gaps in revenue cycle management can be found, employee levels can be changed to match demand, personnel expenses can be reduced, and performance can be improved. Leveraging your company's data is essential for streamlining processes and growth of the business.

Untangling such data, though, may be challenging. Insights might possibly cause more harm than help when data collecting and analysis techniques are incorrect. How do you know if the information you're gathering is actually helping your practice when you have access to so much data? Here are five indicators that it's not, along with solutions.

If the organization is having trouble meeting KPI-driven objectives, it could be because insights are difficult to get. An inherent fault in how your data is collected, processed, stored, reported, displayed, and updated is the reason why this occurs. Distasteful as it may be, it's harder to collect and analyze data from many sources with the intention of using it to make decisions. Large healthcare practices frequently create too complicated technologies, which leave smaller firms mired in their own data.

Whether the group practice is tiny, medium-sized, or big, you need access to your data in order to make wise business decisions. Despite this, not all solutions are made similarly for practices of various sizes. Others are presented in a clutter-free way to provide you with a basic yet powerful user experience that won't overwhelm you or your administrative staff, while some are loaded with remarkable, complex tools and workflows for huge medical organizations.

How many clicks does it take you to obtain insightful information or reports? It's likely that having to integrate and evaluate reports would disturb your productivity, making it challenging to get the right insights into your practice. Healthcare data collecting can be difficult since the data originates from many different sources and is readily available in a variety of forms, making it difficult and time-consuming to converge data and compare findings.

Finding shortcomings in the revenue cycle and determining where you may be leaving money on the table are two of the key objectives of healthcare business intelligence. From billing through claim filing, profitability gaps are common. But without context, such as how revenue cycle lag times relate to prior years and to performance targets, data is basically meaningless. The ability to delve down into particular KPIs and eventually enhance your revenue cycle and financial processes is a must for identifying improvement opportunities.

It is impossible to exaggerate the significance of a business analytics solution with a lag trend dashboard since it may assist in identifying the RCM difficulties facing your organization and enable you to make smarter, data-driven decisions to enhance processes. These tools provide you the option to compare financial performance to industry standards in addition to a comprehensive picture of your financial success over time.

It is reasonable to assume that your organization is dealing with false or incomplete data if it is consistently overstaffed when the waiting room is full and understaffed when it is empty. You should be able to compare your income over time to the number of employees you have, allowing you to determine where you need more help and when you may decrease costs in order to increase revenue.

One advantage of a comprehensive business analytics platform is that it can optimize costs and resources, but not just big healthcare providers and hospitals are interested in improving their efficiency. As much as any other type of practice, small, independent practices require accessibility to these data-driven analytics to help them modify workforce numbers.