Health care organizations are all too aware of the impact incomplete or "dirty" data can have on their supply chain relationships. This effect frequently goes unmeasured. What’s more, without quality data, business executives cannot rely on in-house reports to drive strategic decisions or initiatives, potentially hindering their organizations’ competitiveness.

Without a doubt, solid information is one of the most important assets within an organization. And like other assets, data requires continuous maintenance to ensure the highest level of integrity.

Towards this end, Management Health Solutions has developed procedures to not only cleanse data, but to analyze data maintenance and support processes within a client’s organization. At the same time, we will assist each client in developing data maintenance strategies that include proven data standard rules that the organization can implement and monitor to ensure more accurate data.

The benefits of clean data throughout the "Plan to Pay” cycle include:

• Improved efficiency in the requisitioning and purchasing processes;
• Reduced invoice discrepancies, thereby producing a dramatic increase in the effectiveness of the accounts payable staff and automated invoicing process;
• Maintenance of measure committed volume purchase agreements;
• Accurate utilization of information, which will strengthen an organization’s negotiating position and allow them to achieve significant cost reduction goals.

Our staff consists of dedicated employees who understand the relationship between information systems and the critical need for clean data that forms the infrastructure for those systems. Their many years of health care experience makes certain that each client has a knowledgeable team current with the most up-to-date trends in the industry. An experienced project manager oversees each engagement and provides quality control audits on every project.

Initiatives that prompt the need for data cleansing services include:

• Migration to a new software platform;
• Implementation of software packages that require integration with data elements from one to another;
• Excessive invoice discrepancies within the accounts payable department caused by incorrect data.