Free data readiness tool

Health-data starter calculator

Check whether your records, labs, wearables, food logs, symptoms, goals, and source labels are organized enough for a useful review. This is a data-readiness score, not a medical risk score.

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Free, no accountSources on the pageNothing is stored

Tool rhythm

Use the tool, then carry forwardthe context that matters.

Each page turns a narrow question into clearer prep: what you entered, what is still missing, and what would be worth discussing with a licensed clinician.

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In practice

Start with the numbers, notes, or checklist items you already have.
Treat the result as education and visit prep, not a medical decision.
Use the handoff when your own records can add useful context.

Interactive worksheet

Work the question here, then decide what to carry forward.

Each public tool keeps the input, result, source basis, and safety boundary in one place. When your own records matter, sign in and bring the context into Ojava Coach.

Data stack calculator

Health-data starter calculator

Record sourcesLab markersLab datesWearable daysWearable metricsFood-log daysSymptom-log daysMedicationsSupplementsBody metricsGoals or questions

100/100strong data readiness

Top strengths

Medical records: 3 connected record sources
Labs and biomarkers: 35 lab markers available
Wearables: 21 days of wearable history
Food, symptoms, and routines: 5 food-log days
Source quality: Source names are attached
Interpretation goals: Goals: Review recovery and lab trends

Next gaps

Add more source context to see gaps.

Questions to bring forward

Which source is most important for the question I want answered?
Which values are original records, and which ones did I type in manually?
What should I upload before asking a clinician or Ojava Coach to review this?

Health data stack audit only. Ojava checks whether your records, labs, wearables, daily logs, goals, and provenance are organized enough to support a better conversation. It does not diagnose, calculate medical risk, certify completeness, or replace a clinician.

Scientific references

Patient Generated Health Data Use in Clinical PracticeCohen, Keller, Hayes, et al., 2019.Supports auditing whether patient-generated data have provenance and clinical-use context before treating them as useful care context. It does not validate Ojava as a diagnostic system.
Personal Health Records: A Scoping ReviewArcher, Fevrier-Thomas, Lokker, et al., 2011.Supports personal health records as patient-centered systems for making medical records and related information accessible. It does not define completeness for a specific person.
Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart RateFuller, Colwell, Low, et al., 2020.Supports treating consumer wearable data as useful trend context with device and metric limitations. It does not validate wearable data as a standalone medical finding.

Bring this into Ojava Coach

Use it well

Enter the values or context you already have.
Review the local result before sign-in.
Use the Coach handoff only when you want a deeper record-aware conversation.

The clinical boundary and source basis stay attached to the result, then repeat once at the page close.

Research and source basis

Patient Generated Health Data Use in Clinical PracticeCohen, Keller, Hayes, et al., 2019. Supports auditing whether patient-generated data have provenance and clinical-use context before treating them as useful care context. It does not validate Ojava as a diagnostic system.
Personal Health Records: A Scoping ReviewArcher, Fevrier-Thomas, Lokker, et al., 2011. Supports personal health records as patient-centered systems for making medical records and related information accessible. It does not define completeness for a specific person.
Reliability and Validity of Commercially Available Wearable Devices for Measuring Steps, Energy Expenditure, and Heart RateFuller, Colwell, Low, et al., 2020. Supports treating consumer wearable data as useful trend context with device and metric limitations. It does not validate wearable data as a standalone medical finding.

Back to all free tools

These tools are education and visit prep only. They do not diagnose, prescribe, order labs, determine screening eligibility, clear medication safety, detect conditions, triage emergencies, or replace your clinician.

What Ojava keeps clear

A calm place to understand the pattern before your next step

Ojava organizes health records, wearable trends, medication context, and visit prep in one view. It explains what signals generally mean and keeps clinician decisions where they belong.

Start with your records Read the guides

How the pieces sit togetherThree principles

Your data stays contextual

Daily signals, accepted records, and notes are reviewed together so one lab, symptom, or wearable trend is not treated as an isolated clue.

Education before action

Ojava prepares questions and context. It does not diagnose, prescribe, dose, order labs, or replace licensed care.

One record, many moments

The same structure supports a morning check, a new lab review, and a visit packet when you need it.