Capture
Patient and provider input supplied the facts needed for the encounter note.
Operating evidence · Clinical documentation
Turn high-volume text care into provider-reviewed SOAP notes.
Ian Harman · VP Product & Engineering; Chief Privacy Officer · One to One Health
One to One Health clinicians managed 40 or more text-based patient encounters in an hour, often at the same time. Each encounter still needed a complete note in the patient chart. Ian designed and built a workflow that turned patient and provider input into a draft SOAP note for clinician review.
40+/hourPeak text-based encounter volume
2,000+Encounters in the comparison
3 monthsMeasurement window
20%Less SOAP-note documentation time per encounter
The problem
Manual notes could not keep pace with concurrent text care.
Providers moved among many patient conversations while turning each encounter into a structured SOAP note for the EMR. Manual capture and typing added work to every encounter.
Before
The clinician gathered patient and provider information, translated it into Subjective, Objective, Assessment, and Plan sections, typed the note, and placed it in the chart.
What had to stay true
The note still had to follow One to One's clinical standards. The provider still had to check clinical accuracy and decide whether the note was ready for the chart.
SOAP means Subjective, Objective, Assessment, and Plan. The workflow generated a draft. The provider kept final clinical review.
The system Ian built
Capture the facts once. Draft the note. Keep the clinician in control.
The product moved the repeated writing work into a review-first workflow.
Draft
The system mapped those facts into a draft SOAP note under One to One's clinical standards.
Review and chart
The provider reviewed, corrected, and approved the note before adding it to the patient's chart.
The system did not replace clinical judgment or sign the note for the provider.
How the result was measured
Compare manual note work with provider review time.
The measure covered the work that changed, not the full patient encounter.
Baseline
Time clinicians spent capturing, translating, and typing SOAP-note information by hand.
After
Time clinicians spent reviewing and correcting the system's draft note.
Sample
2,000+ encounters measured across three months.
Quality check
Patient survey outcome data. Scores did not fall during the measurement window.
The 20% figure measures SOAP-note documentation time per encounter. It does not measure patient contact time, reimbursement, or an autonomous clinical decision.
Ian's role
Designed, built, and productized for the provider team.
Ian mapped the clinical workflow, turned One to One's note standards into product rules, built the system, and moved it into daily provider use.
Product work
- Mapped the manual documentation workflow
- Defined patient and provider data capture
- Built the draft generation and review flow
Clinical controls and proof
- Kept provider approval before chart entry
- Applied One to One's clinical standards
- Measured documentation time and patient survey outcomes
What the experience taught
Automate the draft. Keep the clinical decision with the provider.
Draft, do not decide
The system prepared the note. The provider checked its clinical accuracy.
Measure the work that changed
The result tracks documentation time, not patient contact time or a broad claim about care.
Protect the care record
The provider approved the draft before it entered the patient's chart.
How it applies now
The same pattern guides Ian's healthcare AI work.
Safe automation gathers facts, prepares a draft, asks the responsible person to review it, and records what happened.
Claims Native uses that pattern for claims: the software prepares and checks the work while office staff and providers keep approval authority.
Sources and context
Public terms and company context.
Clinical documentation and One to One Health
One to One publicly describes relationship-based care through onsite clinics and on-demand TextCare. AHRQ describes the SOAP structure used in clinical documentation.
- One to One Health — company and care model
- TextCare — virtual access model
- AHRQ — SOAP documentation structure
The operating figures come from Ian's work at One to One Health. This independent career account does not imply endorsement by One to One Health. Proprietary implementation details are not shown.
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