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How to build a CGM workflow in an integrative clinic

Direct answer

A working CGM workflow for an integrative clinic has four repeatable steps: (1) select appropriate patients and set expectations, (2) onboard the sensor with a short baseline period, (3) run a structured 14-day review anchored on time in range and pattern notes, and (4) document what was changed and why, so each cycle builds comparable longitudinal data. The workflow supports — never replaces — clinician judgment.

Key facts

  • The international consensus on CGM targets recommends most adults with diabetes spend >70% of the day between 70–180 mg/dL, with less than 4% below 70 mg/dL (Battelino et al., Diabetes Care, 2019).
  • The same consensus recommends basing review on at least 14 days of CGM data with adequate wear time.
  • Since 2024, the FDA has cleared over-the-counter CGMs (Dexcom Stelo, Abbott Lingo) for adults not using insulin — no prescription required for wellness use.
  • Use of complementary health approaches by US adults roughly doubled from 19.2% to 36.7% between 2002 and 2022 (NHIS analysis, JAMA, 2024) — integrative clinics increasingly serve patients who also track their own health data.

Step 1 — Patient selection and expectation setting

Start with patients who are motivated to understand their glucose patterns and who fall within the scope of a wellness workflow: adults not using insulin, typically with metabolic concerns such as elevated fasting glucose, weight, or energy complaints. Patients using insulin or with complex diabetes belong in physician-led medical management, not a wellness-first workflow.

Set expectations in the first conversation: the sensor is a pattern-finding tool, not a verdict. Two weeks of data will show how meals, movement, sleep, and stress move glucose — it will not, by itself, diagnose anything.

Step 2 — Sensor onboarding and baseline

Keep onboarding light and standardized: sensor placement, app pairing, and a simple logging habit (meals, movement, sleep). Ask patients to change nothing for the first 3–5 days. That baseline window is what makes the later review interpretable — you need to see the "before" to evaluate any "after."

Step 3 — The structured 14-day review

Review on a fixed cycle, ideally 14 days, and anchor every review on the same small set of metrics so cycles are comparable:

In a TCM or integrative setting, this is also where CGM data meets the intake picture: the clinician reads glucose patterns alongside the constitutional and lifestyle assessment, and decides what — if anything — to adjust in the plan.

Step 4 — Documentation that compounds

The difference between a clinic that uses CGM and a clinic that builds evidence with CGM is documentation. Each cycle should record, in the same structure: the metrics observed, the clinician's interpretation, what was adjusted (dietary guidance, lifestyle changes, clinician-guided botanical protocols), and the patient's response in the following cycle. Structured, repeated documentation is what turns individual care into longitudinal, benchmarkable real-world data.

Common failure modes

FAQ

Do patients need a prescription to use a CGM in a wellness program?

In the United States, no. Since 2024 the FDA has cleared over-the-counter CGMs — including Dexcom Stelo and Abbott Lingo — for adults not using insulin. Patients who use insulin or have complex diabetes should be managed with prescription CGM under a physician's care.

What is time in range (TIR)?

The percentage of time glucose stays within a defined band. The international consensus for most adults with diabetes recommends more than 70% of the day between 70 and 180 mg/dL. Wellness programs often review tighter bands; whatever band you use, document it consistently.

How long should a CGM review cycle be?

14 days is the practical default — it matches common sensor wear duration, and the international consensus recommends at least 14 days of data before drawing conclusions.

Can a CGM workflow replace clinical judgment?

No. The workflow structures data collection and review; interpretation and care decisions remain with the licensed clinician.

Sources

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This article is educational and intended for clinicians. It is not medical advice. tcm.ai is a clinician-guided workflow platform; it does not diagnose, treat, cure, or prevent any disease. Care decisions should be made by licensed healthcare professionals.