Data Collection for Meaningful Use
In my first blog on Meaningful Use (MU), I had identified business process optimization and redesign to facilitate data collection/data quality management for MU as one of the key ingredient for Healthcare Enterprise Performance Management approach towards MU compliance. On delving deeper into the final rule for Meaningful Use, it is emerging that business process redesign will be one of the fundamental requirements for achieving Meaningful Use and more precisely for reporting on Meaningful Use measures.
Getting ready for Meaningful Use will require more than certified EHR and MU reporting solution. Business Process Redesign will be an integral part of it as it is essential for data collection for MU reporting. For example, the MU measure regarding use of CPOE for medication requires that more than 30% of unique patients with at least one medication in their medication list seen by the EP or admitted to the eligible hospital's or CAH's inpatient or emergency department (POS 21 or 23) have at least one medication order entered using CPOE . For providers who are planning a gradual EMR adoption may not target 100% CPOE usage and may plan for achieving minimum MU compliance threshold. How will they ensure that 30% of the unique patients have at least one medication order made using CPOE? Providers can adopt one of the various possible strategies for achieving compliance. Hospitals can identify departments that together account for a little over 30% of their patients and mandate CPOE usage in these departments. Another strategy could be to identify the set of medications that gets prescribed to over 30% of the patients and it can be mandated to order these medications electronically. Both these approaches here require a change in the process followed by certain departments or for certain medications. Most of the MU compliance measures that have a compliance threshold defined will require some kind of policy or process changes by providers who are taking minimalistic approach to MU compliance.
Clinical Quality MU measures do not have a threshold level for compliance but the complexity lies in identifying inclusions and exclusions for reporting on these measures. CSC Report on Hidden Requirements for Meaningful Use illustrates with an example that the data elements required to identify inclusions, exclusions and measure outcomes for Meaningful Use are significantly more than one may think initially. Even for providers that are not new to use of EMRs, a lot of these data elements are not getting captured in EMR. The data elements required are spread over several systems like Registration, CPOE, ER system, Laboratory Information System, Pharmacy Information System etc and some data is available in paper format only. To ensure that all the data elements required for MU reporting are captured electronically, some process changes may be required. For collecting all the data elements required for reporting, optimal data flow path needs to be identified which may lead to further change in processes. Not all the old ways of doing things can align with what MU reporting necessitates and providers have to be flexible and agile in optimizing their processes for MU. Business process redesign can only be successful if physicians and staff transition to different way of doing things seamlessly. This brings us to the whole aspect of change management which I will discuss in my next blog.


