File emailed home readings into Healthbook+
Home readings stop living in the inbox and reach the care plan. Patient messages never stop, and in a membership practice a slow reply is felt. The work is reading, sorting and drafting, so the team can spend its time on the reply itself.
- Saved per log, estimated
- ~8 min
- Role it helps: nurse and MA
- 1
- Steps Tabflows handles for your team
- 4
How it runs
Starts: When a patient emails blood pressure or glucose logs.
- Step 1
Tabflows reads the email and attachment.
- Step 2
Pulls each reading with date and time.
- Step 3
Stages them as patient-reported data in Healthbook+ for nurse approval.
- Step 4
Flags out-of-range values.
Everything lands for your team to review, so the clinic stays in charge of every decision.
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Docs & guides
Tabflows University
Short lessons on running a calmer clinic with the tools you already have.
Learn with Tabflows →Learn with TabflowsDPC operations blog
Our best writing on DPC workflow, front-desk operations and clinic software.
Explore the blog →Explore the blogIntegrations
Every tool Tabflows connects to, and what it can do with each one.
Explore integrations →Explore integrationsCase studies
How DPC and concierge clinics use Tabflows day to day.
Read the stories →Read the stories
Get help from our team
Tabflows engineers
We set this up on your Gmail and HealthBook+ accounts and keep it tuned to how your clinic works.
Hire Tabflows →Frequently asked questions
Will patients get messages we haven't approved?
No. Tabflows drafts and sorts; your nurse and MA reads, edits and sends. Nothing reaches a patient until someone on your team approves it.
Do we need to switch from Gmail and HealthBook+?
No. File emailed home readings into Healthbook+ works inside the Gmail and HealthBook+ accounts your clinic already uses. There is nothing to migrate and no new system for your team to learn.
When does it run?
It starts when a patient emails blood pressure or glucose logs. Tabflows works through 4 steps, and the result lands with your nurse and MA, saving an estimated 8 min per log.