Optimal - The Blog

November 3, 2026

How to turn blood test results into consistent treatment plans

By Dr. Dicken Weatherby, ND, founder of Optimal DX

A treatment plan is consistent when the same blood test leads to the same priorities every time it's read. That takes 4 things: reading each biomarker against both a standard range and an optimal range, grouping biomarkers into patterns, ranking those patterns by clinical priority, and building the plan from that ranking instead of from memory. The Optimal DX Functional Health Report does the first 3, and the Optimal DX Treatment Plan Builder turns the ranked Health Concerns into a supplement, diet, lifestyle and exercise plan that the practitioner reviews and approves.

Key takeaways

  • Optimal DX reads every biomarker against 2 ranges. A standard reference interval is built to find disease, and an Optimal DX optimal range shows where a healthy body keeps a result.[1][2]
  • Optimal DX groups biomarkers into Health Concerns and ranks each one as a Low, Medium or High Clinical Priority.
  • The Optimal DX Treatment Plan Builder starts every plan from those Health Concerns, so 2 practitioners using the same protocol templates start from the same plan.
  • The practitioner reviews and approves every plan before the patient sees it.

Why the same blood test produces different plans

Hand 2 practitioners the same blood panel and they can write 2 different plans. In my experience teaching Functional Blood Chemistry Analysis (FBCA), the differences usually come from 4 places.

  1. Reading the standard range only. A standard reference interval is usually the central 95% of results from a reference population, and it's designed to flag disease.[1][2] A result can sit inside it and still be a long way from where a healthy body keeps it. One practitioner treats that result, and another doesn't see it.

  2. Reading biomarkers one at a time. A single out-of-range marker has several possible explanations. Its related markers narrow the list. Practitioners who read the panel marker by marker reach different conclusions from those who read it in patterns.

  3. No shared order of priority. A full panel can point to 6 or 8 areas that need support. Without a consistent way to rank them, each practitioner picks a different 2 or 3 to treat first.

  4. Plans built from memory. When the protocol for each concern lives in a practitioner's head, it changes with the day, the patient and whoever is building the plan.

Clinical decision support was built for problems like these. In a systematic review of 100 controlled trials, computerized decision support improved practitioner performance in 64% of the studies that measured it.[3] A second review of 70 trials found 4 features that predicted success: support delivered automatically as part of the clinician's workflow, recommendations rather than assessments alone, support at the time and place the decision is made, and computer-based delivery. Of the 32 systems with all 4 features, 30 improved clinical practice.[4] Effects on patient outcomes are less consistent across the research, and fewer studies measure them.[3][5]

A 6-step workflow from blood test to treatment plan

1. Read the panel against standard and optimal ranges

Optimal DX scores every biomarker against a standard range, drawn mainly from Quest Diagnostics with Labcorp ranges added where appropriate, and an Optimal DX optimal range. Both appear on the report.

Fasting glucose shows the difference. The Optimal DX optimal range is 75 to 86 mg/dL, inside a standard range of 65 to 99 mg/dL. A fasting glucose of 95 mg/dL passes the standard range and sits above optimal, so the Functional Health Report flags it and reads it alongside insulin, HbA1c, triglycerides, and other biomarkers of blood sugar regulation..

The research behind each Optimal DX optimal range is published in the online ODX Biomarker Guide, which covers more than 200 biomarkers. For the full reasoning, see Why Functional Medicine practices struggle with blood chemistry interpretation.

2. Turn biomarker patterns into ranked Health Concerns

The Optimal DX Functional Health Report groups related biomarkers into Health Concerns and gives each one a likelihood percentage. Optimal DX shows that percentage as a Clinical Priority:

  • High: 90% to 100%
  • Medium: 70% to 89%
  • Low: 50% to 69%

Optimal DX builds every treatment plan on Health Concerns. Each supplement and each diet, lifestyle or exercise recommendation in the plan is tied to the Health Concern it addresses. The practitioner gets the final say as to which Health Concerns to treat. 

3. Match products to each Health Concern

From a finished Functional Health Report, the "Build Treatment Plan" button opens the Optimal DX Treatment Plan Builder with the patient and blood test already filled in. The top 8 Health Concerns from the report are preselected. The practitioner can uncheck any of them, add any other concern from the report, or add a Health Concern the blood test didn't raise.

Next, the practitioner chooses where products come from. Optimal DX offers 3 kinds of product source:

  • The Default Product Library, for practitioners who dispense from their own clinic. It holds products from Metagenics, Premier Research Labs, Designs for Health, Xymogen, Apex Energetics, Biotics Research, Moss Nutrition and Ortho Molecular. Optimal DX keeps the Premier Research Labs, Designs for Health and Xymogen catalogs current through direct connections with those companies.
  • Virtual dispensaries, where the company also fulfills the order: Fullscript (US and Canada) and Designs for Health.
  • My Products, for a practice's own white-label products or anything else it dispenses. A single import takes up to 100 products with their images.

Auto-populate then fills the plan from protocol templates. A protocol template is a saved set of product-to-Health-Concern pairings, built once and reused on every plan after that. For each Health Concern, the template sets a primary product that is automatically added to the treatment plan, a shortlist of alternates and edits for dosage are one click away. Templates can be built from the Default Product Library, Fullscript, Designs for Health or My Products. Optimal DX also ships pre-built templates, including ones built on the full Fullscript catalog: Designs for Health, Pure Encapsulations, Thorne and Xymogen, which can be cloned and edited.

In my own use, auto-populate gets a practitioner about 90% of the way to a finished plan. Swapping a product, changing a dose or removing an item takes a click or two.

Protocol templates are what make plans consistent. When every practitioner in a clinic builds from the same templates, the same Health Concerns produce the same starting plan.

4. Add diet, lifestyle and exercise recommendations

The Recommend Actions step in the Optimal DX Treatment Plan Builder adds diet and nutrition, lifestyle, and movement and exercise recommendations. Practitioners can write their own or generate them with AI drawn from the Optimal DX Functional Medicine knowledge base.

Before generating, the practitioner enters patient considerations: a dietary pattern such as vegetarian or low carb, food restrictions such as gluten-free or dairy-free, and any clinical context, such as shift work. Optimal DX then writes at least 1 recommendation for every selected Health Concern and more for higher-priority concerns. Where it can, it writes a single recommendation that covers several Health Concerns. Each recommendation states its reason and the concern it addresses.

Practitioners who prefer diet and lifestyle to supplements can skip product selection and go straight to Recommend Actions.

5. Review and approve the plan

Every Optimal DX treatment plan stays a draft until the practitioner approves it. The Review and Complete step shows every product and recommendation together, and everything can still be edited. Nothing reaches the patient until the practitioner sets the plan as complete. On the Fullscript path, the plan then goes to Fullscript, where activating it emails the patient so they can order.

Optimal DX prepares the plan. The practitioner decides what goes in it.

6. Give the patient a plan they can follow, then retest

Patients forget much of what they hear in a consultation, and written information helps them remember it.[6] The Optimal DX Health Improvement Plan (HIP) puts the treatment plan in writing. It includes the practitioner's notes, the supplement plan, the diet, lifestyle and exercise recommendations, and a 1-page product summary listing each product and its dosing, made to be printed and kept with the patient's supplements. Each item shows the Health Concern it was chosen for, so the patient can see why it's there.

At the next blood test, the Blood Test Comparative and Blood Test History sections of the Functional Health Report show how each biomarker has changed across up to 6 previous tests. You can see whether the plan moved the markers it targeted, and adjust from there.

How to get started

The Optimal DX Treatment Plan Builder comes with every Functional Health Report. An Optimal DX account is free, with no card at signup, and every new account includes 2 sample patients with completed reports.

View a sample Functional Health Report · See the Treatment Plan Builder

FAQs

How do you turn blood test results into a treatment plan?

Optimal DX does it in 6 steps. Read each biomarker against standard and optimal ranges, group biomarkers into Health Concerns, rank them by Clinical Priority, match products to each concern with protocol templates, add diet, lifestyle and exercise recommendations, and approve the plan before it goes to the patient as a Health Improvement Plan.

Why do treatment plans differ between practitioners reading the same blood test?

Optimal DX sees 4 common causes: reading the standard range only, reading biomarkers one at a time, no shared order of priority, and plans built from memory. Optimal ranges, pattern-based Health Concerns, Clinical Priority and shared protocol templates address each one.

What's the difference between standard and optimal reference ranges?

A standard reference range is usually the central 95% of results from a reference population and is designed to detect disease. An Optimal DX optimal range is a narrower band that shows where a healthy body keeps a biomarker. For fasting glucose, the Optimal DX optimal range is 75 to 86 mg/dL, against a standard range of 65 to 99 mg/dL.

How does Optimal DX link a treatment plan to lab results?

Optimal DX builds every treatment plan from the Health Concerns in the patient's Functional Health Report. Each supplement and each diet, lifestyle or exercise recommendation is tied to the Health Concern it addresses, and the Health Improvement Plan shows the patient that link.

Which supplement companies does the Optimal DX Treatment Plan Builder work with?

Optimal DX's Default Product Library includes Metagenics, Premier Research Labs, Designs for Health, Xymogen, Apex Energetics, Biotics Research, Moss Nutrition and Ortho Molecular. Fullscript (US and Canada) and Designs for Health are connected as virtual dispensaries that fulfill orders. Practitioners can also import their own products.

Can Optimal DX build diet, lifestyle and exercise recommendations?

Yes. The Optimal DX Recommend Actions step generates diet and nutrition, lifestyle, and movement and exercise recommendations for each selected Health Concern, adjusted for the patient's dietary pattern, food restrictions and clinical context. The practitioner edits and approves every recommendation.

Does Optimal DX replace clinical judgment?

No. Optimal DX prepares the treatment plan, and the practitioner decides what goes in it. Every plan stays a draft until the practitioner approves it.

References

  1. Friedberg RC, Souers R, Wagar EA, Stankovic AK, Valenstein PN. The origin of reference intervals. Arch Pathol Lab Med. 2007;131(3):348-357. doi:10.5858/2007-131-348-TOORI
  2. Ammer T, Schützenmeister A, Rank CM, Doyle K. Estimation of reference intervals from routine data using the refineR algorithm: a practical guide. J Appl Lab Med. 2023;8(1):84-91. doi:10.1093/jalm/jfac101
  3. Garg AX, Adhikari NKJ, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223-1238. doi:10.1001/jama.293.10.1223
  4. Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765. doi:10.1136/bmj.38398.500764.8F
  5. Bright TJ, Wong A, Dhurjati R, et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157(1):29-43. doi:10.7326/0003-4819-157-1-201207030-00450
  6. Kessels RPC. Patients' memory for medical information. J R Soc Med. 2003;96(5):219-222. doi:10.1177/014107680309600504
Tag(s): ODX Conditions

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