Transplant care teams have enough challenges managing patient information arriving from outside their institution. It's already a full workload entering primary data from the transplant evaluation process. It's a never ending process of data entry for solid organ programs. EHR adoption is adding to that already heavy workload and is creating the need to enter more discrete data. Ask yourself: isn't it enough that your solid organ transplant teams sift through a large number of non-electronic patient details from their originating healthcare institution? Meaningful use adds even more data entry pressure. This means your team will need to key in more discrete data into that EHR system. This type of change is not decreasing the workload, or making it 
easier to improve quality care. Does this sound familiar?
Many solid organ transplant programs are moving from their familiar database into the enterprise EHR model. It's not uncommon to hear complaints about additional effort with fewer resources. But this transition creates a burden, not only because your team will need to get up to speed on the changes, but many times the reason for moving to the enterprise model is to satisfy the need for discrete data. Having access to comprehensive data is valuable. On this we all agree. Who would argue it's a huge benefit having clinical inpatient data and patient reported laboratory results available immediately in the patient flow sheet for trending analysis?
But who made the decision for the required data entry to fall into your list of responsibilities? Advanced clinical data capture is a great way to solve the dilemma of having to enter more data into your new EHR and transplant database. Imagine capturing more fields of data while using fewer human resources. Imagine having the ability to detect duplication, and measurably improve the quality of the data being entered into your new EHR. These tools are available and implementation of advanced clinical data capture is easier than you might expect.
