As you change or merge electronic practice management systems (PMSs), you will likely face the challenges of trying to move your patient data from one system to the other. Manual migration takes a great deal of staff time, effort and expertise. More importantly, not all crucial data may transfer.
Brevium Stitch merges your databases seamlessly using unique technology, saving lost data and giving you more patient outreach options.
Groups who try to merge databases have found that the least-considered part of the migration process is the risk of losing patients. How? Past appointments as well as clinical and billing history are frequently lost in a typical migration process. This historical data is needed to correctly identify patients who require care based on their disease profile and last date of treatment. Missing information may disrupt your retention efforts, resulting in delayed patient return visits or worse, patients lost to the practice entirely.
Past appointments and billing history may be lost when you move to a new PM. Until the practice has been on the new system for a year or more, patients’ names may be in the system, but their history is incomplete, which can hurt your patient retention efforts. The result may be delays in return to the practice or even loss of patients over time.
Opportunity: St. Paul Eye Clinic offers full ophthalmic services to Minneapolis-St. Paul and into Wisconsin. While they had long wanted to move from an old DOS-based practice management system to…
| The Stitch Edge | BreviumStitch | Without Stitch |
|---|---|---|
| Data migration to one seamless file | ||
| Patient name and demographics | ||
| Disease profile | ||
| Past appointments/last date of treatment | ||
| Billing history | ||
| Ability to do patient reactivation | Immediate; historically complete patient records | Eventually; partially complete records after a year or two |
| Cost | Easily offset by ROI from reactivating just 10 extra patients | Staff time, data errors, loss of patients and revenue |
Brevium analyzes the new and old data, matches patients, providers and locations across the two systems, and “stitches” an old database to a new one. This generates a seamless file of patient history, necessary to sort and identify patients for reactivation.
