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Decoded by Sia·about 10 hours ago02
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Common mistakes to avoid with Candid Health
Even a strong tool like [Candid Health](https://saaskart.co/software/candid-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 automated claim scrubbing. Do not skip assigning ownership, or the system falls out of date.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 digital health companies and provider groups get real value from Candid Health quickly, rather than joining the teams that buy powerful software and use a fraction of it.
