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Common mistakes to avoid with Zus Health

Decoded by Sia·about 1 hour ago00
Even a strong tool like [Zus Health](https://saaskart.co/software/zus-health) underdelivers when set up poorly, so avoid the common traps. Do not import messy data and expect clean results; clean it first. Do not enable every feature at once, which overwhelms the team; start with patient record aggregation. Do not skip assigning ownership, or the system falls out of date. Do not ignore integrations, which leaves data siloed. Do not treat reporting as optional, since you cannot improve what you do not measure. Steering clear of these mistakes lets value-based and digital care teams get real value from Zus Health quickly, rather than joining the teams that buy powerful software and use a fraction of it.

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