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Science at Afiyah

Better questions.
Stronger evidence.

A healthier life deserves more than a promise. Explore the research, review and careful measurement behind Afiyah’s approach.

A laboratory worker carefully holding a rack of samplesFrom the original source. To a considered next step.
AFIYAH / EVIDENCE NOTESExplore the method

Start with the evidence.

Independent research informs the questions we ask. Population, comparison and limits remain attached to each source.

Source → Study population → Relevant limitsExplore independent research

Curious by nature. Careful by design.

Research informs the journey.
Evaluation earns the claim.

Personal plans, timely care and small daily actions deserve a clear scientific basis. We keep three kinds of evidence distinct.

Published research

What specific interventions achieved in studied populations. These findings inform our thinking; they are not Afiyah results.

Clinical rules review

What a qualified reviewer approved within a defined product scope, with explicit exclusions and conditions.

Afiyah outcome evaluation

What must be measured in the actual Afiyah experience. Independent whole app effectiveness has not yet been established.

A person reviewing printed reports beside a computer

Science & evidence

Follow the evidence.
Understand its limits.

Published research, bounded clinical review and measured product outcomes answer different questions.

Explore science & evidence
Afiyah
AfiyahScience & evidence

Every claim needs its context.

Published research
Source and population retained
Clinical review
Defined scope
Afiyah outcomes
Require their own evaluation
Control model · Read the service-specific scope.

The Afiyah quality framework

From a trusted source.
To a tested experience.

Scientific references, clinical boundaries and engineering checks work together. Each capability needs evidence appropriate to what it does.

  1. 01

    Establish the basis

    Identify the source, intended use and population.

  2. 02

    Define the scope

    Record clinical limits and what needs qualified care.

  3. 03

    Check the information

    Preserve provenance, dates, units and uncertainty.

  4. 04

    Test the behavior

    Exercise explanations, permissions and approval boundaries.

  5. 05

    Review readiness

    Separate local results from clinical and deployment approval.

  6. 06

    Learn and recheck

    Use reported issues and proposed outcome studies to guide review.

For your review

The explanation must match the evidence.

A report arrives without a unit or a clear test date.

  1. Keep the original document, result and laboratory wording.
  2. Flag the missing detail; do not invent a unit, date or reference range.
  3. Keep the uncertainty visible in the explanation.

Clarify the source before a governed next action.

The internal app has recorded local software and browser checks using controlled test scenarios. These checks establish specific software behavior, rather than whole app clinical effectiveness.

Methods, tools and standards

Know the method.
Know what it can tell you.

A published instrument, an Afiyah adaptation and an AI explanation each need a different kind of review.

Published self assessment

WHO 5 wellbeing

The five statement wellbeing instrument has a published basis. Afiyah’s private English implementation keeps assessment answers and scores outside AI interpretation.

Read the WHO instrument
Original Afiyah adaptation

AHA informed Heart check

The American Heart Association’s Life’s Essential 8 informs our heart health habits check. Afiyah’s adaptation is not an official AHA assessment or a validated clinical score.

Explore Heart check
Guidance informed design

Wellness plans and Moments

Movement and behavior change references inform practical goals and review. Personal recommendations and adaptations still need their own evaluation.

Explore the source library
Framework informed controls

Responsible health AI

WHO health AI guidance and NIST AI RMF inform human control, transparent limits, risk review and accountable development. They do not certify Afiyah.

Explore governance

A visible reference library

Look closer.
Follow the source.

Independent studies and guidance behind relevant methods. Source organizations do not endorse Afiyah.

19 results

Time and access

Earlier appointments

14days sooner
Median per completed appointment

Patients who accepted a cancelled slot were seen earlier than their original appointment date.

UCSF · 5,399 completed visits · June 2022 to March 2023
Context and limitations

Retrospective US study of Fast Pass, compared with each original appointment date. This is earlier calendar access, not minutes saved in a waiting room. Uptake differed by demographic and language group. It does not establish an Afiyah effect or guaranteed earlier access.

Read the original source
Time and access

Travel avoided for a visit

2.9hours of travel avoided
Estimated average per video visit

Video visits replaced a return car journey in a Florida specialist cancer care study.

11,688 patients · 25,496 visits · April 2020 to June 2021
Context and limitations

Single centre economic evaluation. Travel was modeled from patient routes, not timed. A specialist cancer population can travel much farther than primary care patients. Digital care must be appropriate; an examination or test may still need a visit.

Read the original source
Time and access

Fewer trips for medicine

90minutes of travel avoided
Median per patient · 7 month study total

Hospital medicine deliveries replaced trips to collect prescriptions. The estimate adds up each patient’s avoided journeys during the study.

912 patients · Spain · July 2020 to January 2021
Context and limitations

The median estimated travel time avoided was 90 minutes per patient across July 2020 to January 2021. This is not per delivery, month or year. The hospital programme served 912 patients with 2,536 deliveries. Car journey estimates used Google Maps; these are not measured travel times or Afiyah results.

Read the original source
Time and access

Indirect patient costs

$147 to 186estimated indirect savings
Average in US dollars per video visit

The model combined avoided driving costs and the monetary value of time in specialist cancer care.

US dollars · Cancer care · Two mileage cost models
Context and limitations

Estimated savings were $147.4 to $186.1 per telehealth visit. They include vehicle expenses and valued productivity, not a cash refund. Patient devices and internet were excluded. These historical US estimates are not Afiyah savings or a local price comparison.

Read the original source
Time and access

Appointment follow through

14%higher attendance
Relative increase · reminders vs none

Patients sent SMS reminders were more likely to attend scheduled appointments. Trial follow up periods varied.

Cochrane · Seven comparison trials · 5,841 participants
Context and limitations

The 2013 review pooled attendance risk ratio 1.14, with 95% confidence interval 1.03 to 1.26. This is a relative change, not 14 percentage points. Trials and settings varied; evidence was moderate quality. Reminders do not prove downstream clinical benefit or Afiyah effectiveness.

Read the original source
Time and access

Booking beyond office hours

29.5%of bookings outside office hours
354 of 1,201 self scheduling actions

Parents could book well child visits beyond usual staff scheduling hours. This is a share of bookings, not a monthly growth rate.

Mayo Clinic · 1,201 actions · February 2019 to February 2020
Context and limitations

A 13 month Mayo Clinic study found 354 of 1,201 self scheduling actions occurred outside normal staff hours. The 29.5% calculation excludes cancellation actions. Children were aged 2 to 12. This is not 29.5% more patients or revenue; no show differences were not statistically significant.

Read the original source
Laboratory equipment arranged for the analysis of samples

Records & understanding

Less searching.
More understanding.

Your records, explained with their source and clinical context intact.

Explore records & results
Afiyah
AfiyahRecords & understanding

The original stays in view.

Your original health report
Source
Original report
Reference range
From your laboratory
Next conversation
Questions for your clinician
Availability and permissions apply.

Clinical review and information quality

A defined scope.
A traceable explanation.

The v0.3 clinical rules catalogue records approval by Dr. Abdul Rahman Sinan on 26 August 2026 for bounded adult document explanation and controlled next action guidance.

Diagnosis and prescribing are excluded. This review is separate from whole app validation, security assurance and market authorization.

Read data quality and review scope
  1. 01

    Original source

    Keep the report and its provenance.

  2. 02

    Personal context

    Check identity, date, values, units and lab ranges.

  3. 03

    Visible uncertainty

    Flag missing or conflicting information.

  4. 04

    Appropriate next step

    Explain within scope and keep clinical judgement with the clinician.

A group of colleagues discussing plans around a meeting table

The Afiyah approach

Health is personal.
Support should be, too.

Language, preferences, family and real life belong in the same conversation.

Get to know Afiyah
Afiyah
AfiyahThe Afiyah approach

Start with the person.

Language
Arabic and English
Personal context
Your goals and preferences
Next steps
Reviewed with you
Availability and permissions apply.

Evidence at a glance

What is recorded.
What comes next.

Evidence status · 16 October 2026

Clinical rules catalogue
Recorded scoped approvalv0.3 · Adult, non pregnant routine document explanation and controlled next steps.
Software and permission checks
Local checks recordedBuild specific tests and controlled browser scenarios; cloud and phone acceptance remain separate.
Independent health outcomes
Not yet establishedWhole app effectiveness needs an appropriately designed study in the intended population.
Wider activation
Readiness gates remainClinical, privacy, operational and market requirements must be met for the intended release.

What Afiyah needs to measure next

Useful questions.
Accountable progress.

Our proposed evaluation should follow complete journeys and report the comparison, population, timeframe and limitations.

Access and time

Appointment completion, travel avoided and handover time, separated from necessary clinical care.

Personal wellbeing

Appropriate measures, participant experience and sustained engagement, with consent and relevant comparison groups.

Quality and safety

Explanation accuracy, unsupported suggestions, permission boundaries and issues needing human review.

Partner value

Completed care, attendance and genuinely recovered capacity, with costs and attribution visible.

Explore responsible AI at Afiyah

For researchers, clinicians and care partners

Help us ask better.
Help us build better.

Discuss research design, clinical review or a responsibly scoped evaluation partnership.

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