Integrative & Whole-Person Health. Whole-person health,designed on evidence.
We help US health organizations design and run holistic, preventive and personalized programs that hold up to scrutiny: grounded in evidence, built around the whole person and measured on results.
A short call with a senior expert. No patient information needed.
Who and what it serves
- Members & patients
- Employer workforces
- Community programs
- Chronic conditions
- Prevention goals
How programs are built
- 1Start from the evidence
- 2Design around the whole person
- 3Personalize with data
- 4Measure what changes
What you get
- Credible, evidence-led programs
- Proactive care models
- Personalization at scale
- Results you can show
Built on the evidence and standards programs are judged by
- NIH NCCIH evidence reviews
- USPSTF recommendations
- CDC chronic disease guidance
- NCQA and HEDIS quality measures
- FDA and FTC rules on health claims
- HIPAA for program data
Watch 45 seconds
Whole-person health, designed on evidence: how we build programs that hold up
Read the film as text
- Care built on evidence.Whole-person programs that hold up to scrutiny.
- Why it matters3 in 4 US adults live with a chronic condition. Source: CDC
- We label the evidence.Strong: Solid evidence of benefit. Build programs on it. Mixed: Some evidence, with gaps. Use with clear limits, and measure. Unproven: Little or no sound evidence. Leave it out, or label it. Where evidence is strong, we say so. Where it is not, we say that too.
- What you get.Credible, evidence-led programs. Proactive care models. Personalization at scale. Results you can show.
- During Health.Whole-person health, designed on evidence. Book a program design call, or Free readiness scorecard, at duringhealth.com.
What is changing in prevention and whole-person care right now
Dated facts, each with its source. This part of the page is refreshed regularly; the rest is built to last.
3 in 4
US adults live with a chronic condition
Chronic disease drives about $5.3 trillion in annual costs. Prevention and whole-person programs are aimed at this part of the system.
CDC, About chronic diseasesAs of Oct 202636.7%
of US adults used complementary health approaches in 2022
From the National Health Interview Survey. Use is common, so patients are asking; programs need evidence and clinical oversight to answer well.
NIH NCCIH, National Health Interview Survey 2022As of Oct 2026
2030
CMS goal: every Medicare beneficiary in an accountable care relationship
Payment is moving toward quality and total cost of care, which rewards prevention and coordination that fee-for-service did not.
Every number links to its source.
What most wellness programs get wrong
Myth
“Whole-person health means alternative medicine instead of medicine.”
Fact
The credible version is integrative: evidence-based care for the whole person, with approaches added only where the evidence supports them and always alongside conventional care.
Myth
“More features, more apps, more engagement.”
Fact
Engagement is not health. Programs that last are built around a defined goal for a defined group, with measures agreed before the first member enrolls.
Myth
“Personalization needs a lot of personal data.”
Fact
It needs the right data, used for a stated purpose with consent. More collection raises privacy risk faster than it raises benefit.
Four things you can hold us to.
Holistic health & wellness
Design and enable holistic wellness, lifestyle and integrative-medicine programs — for members, patients or workforce.
What you get
- Program design for members, patients or your workforce
- A clear target group, goal and measures
- Care-team roles and referral paths into conventional care
- A pilot plan with scope and review dates
Preventive & precision programs
Program design across metabolic, mental and longevity health.
What you get
- Program design across metabolic, mental and longevity health
- Risk stratification and outreach rules
- Alignment with quality measures and payment models
- Safety, escalation and clinical-oversight rules
Personalization from data
Tailor interventions using real-world and lifestyle data.
What you get
- A map of what data is needed and what is not
- Consent, privacy and de-identification design
- Rules or models to tailor interventions, with explanations
- Monitoring for fairness and drift
Evidence-led design
Ground whole-person models in evidence, not trends.
What you get
- An evidence review for each component of the program
- A grading of what is strong, mixed or unproven
- Claims language checked for accuracy
- An evaluation plan that can show whether it worked
Everything we do in integrative and whole-person health
Ten service areas, from reviewing the evidence to proving results. Most engagements start in one and grow into the others.
Evidence review & program rationale
Knowing what is strong, mixed or unproven.
- Literature and guideline review
- Evidence grading by component
- Program rationale document
- Claims accuracy review
Holistic wellness program design
Programs around the whole person.
- Lifestyle and behavior programs
- Stress, sleep and movement components
- Nutrition support designed with licensed professionals
- Group and one-to-one formats
Preventive & chronic care programs
Keeping people well and conditions steady.
- Metabolic and cardiometabolic programs
- Mental and behavioral health support pathways
- Screening and outreach design
- Chronic condition self-management
Integrative care models
Complementary approaches alongside conventional care.
- Care-team structure and roles
- Referral and coordination paths
- Credentialing and scope rules
- Patient information and shared decisions
Personalization & precision programs
Tailoring without overreaching.
- Segmentation and risk stratification
- Personalized plans and nudges
- Explainable recommendations
- Clinical oversight of automation
Real-world & lifestyle data
The right data, used with consent.
- Data needs mapping
- Wearable and patient-reported data
- Consent and de-identification design
- Data quality and bias checks
Workforce & employer wellness
Programs for the people who deliver care.
- Clinician and staff wellbeing programs
- Employer and benefits program design
- Burnout reduction pathways
- Participation and outcome reporting
Outcomes measurement & evaluation
Showing what changed.
- Measures agreed before launch
- Pilot design and comparison groups
- Dashboards for sponsors and clinicians
- Quality-measure and payment alignment
Claims, safety & compliance review
Saying only what you can support.
- Marketing and clinical claims review
- FTC and FDA considerations
- Safety and escalation rules
- Privacy and consent review
Clinician & coach training
Teams who can deliver the model.
- Training for coaches and care teams
- Motivational and shared decision-making skills
- Documentation and coding basics
- Ongoing case review
How an engagement runs: start with one program, not a platform
You see a defined program with agreed measures before you widen it.
Frame
Choose the population, the goal and the measures, and review the evidence.
You get
A one-page program charter and evidence summaryDesign
Design the program, the care-team roles, the data and the safety rules.
You get
A program design, data plan and safety rulesPilot
Run a small pilot with clinical oversight and honest measurement.
You get
A pilot run and an early results reportScale or stop
Extend what worked, change what did not, and hand over to your team.
You get
A scale plan, playbooks and an evaluation report
Who we design programs for
Health systems and physician groups
The problem
Patients with chronic conditions who need more support between visits.
A good first project
A preventive program for one condition and one clinic.
Health plans and Medicare Advantage plans
The problem
Members whose needs go beyond what claims data shows.
A good first project
A whole-person pilot for one member segment, with measures tied to quality.
Employers and benefits teams
The problem
Wellness spending without evidence of results.
A good first project
An evidence review of what you fund today, and a redesign.
Wellness and longevity organizations
The problem
Growing interest, with claims that must stand up to scrutiny.
A good first project
An evidence and claims review before the next launch.
Is your whole-person program ready to be taken seriously?
If you cannot tick most of these today, evidence and measures come before more features.
- A named group, a goal and the measures are written down.
- Each component has an evidence summary, including where it is weak.
- A licensed clinician oversees safety and escalation.
- Referral paths into conventional care are defined.
- You know exactly what data you collect and why.
- Consent language is plain and recorded.
- Marketing claims have been reviewed against the evidence.
- You can show a comparison, not just participation numbers.
Three questions to ask your team on Monday
- 01
What is the measurable goal of this program, and for whom?
- 02
Which part of what we offer has the weakest evidence?
- 03
What happens when a participant needs conventional care?
If the answers are slow or different in every room, that is where we start.
Check our thinking before you call us
We publish how we read the rules and give away the tools. Judge the depth for yourself.
- Article
Agentic AI in US health systems: a governance checklist
The oversight rules that apply when AI personalizes care.
- Tool
HIM technology readiness scorecard
Check the data foundation under any program.
- Download
HIM technology readiness self-assessment
A workbook with a 90-day readiness plan.
- Article
CMS-0057-F: prior authorization and payer APIs
How data flows are changing for the plans that fund prevention.
Is this alternative medicine?
No. We design evidence-led programs that add approaches only where the evidence supports them, alongside conventional care and under clinical oversight. We do not promote unproven treatments.
Do you provide medical care or treat patients?
No. We design, enable and evaluate programs for health organizations. Care is delivered by your licensed clinicians.
How do you decide what evidence is strong enough?
We review each component against guidelines and published research, grade it as strong, mixed or unproven, and design the program and its claims to match.
Can you help us with claims and marketing language?
Yes. We review claims for accuracy and consistency with the evidence, and flag FTC and FDA considerations. Final legal review stays with your counsel.
How do you use personal data?
Minimally and for a stated purpose, with consent. We map what is needed, design consent and de-identification, and monitor for bias.
How do you protect PHI?
Under a written agreement, including a business associate agreement where HIPAA applies, with de-identified or synthetic data wherever possible.
How is an engagement priced?
By scope: one program, one population and the measures agreed up front. We begin with a defined pilot so you can see results before widening.
Start with one program. Show it works.
Tell us who the program is for and what you want to change. We will tell you what the evidence supports and how we would design and measure it.
Please do not send patient information. Describe the situation without identifying anyone.