
IndeForms standardises the operational and clinical paperwork that surrounds care: intake and consent, infection-control rounds, equipment and cold-chain logs, accreditation evidence, and community health surveys. Records are captured on a device, routed through the approvals your quality system requires, and retained with a full audit trail. For organisations that cannot let health data leave their own network, the whole platform installs on-premise or fully air-gapped.
Hospitals and clinic networks have usually digitised the clinical record and left everything around it on paper. Infection-control rounds are a checklist on a clipboard. Equipment sterilisation logs are a register by the autoclave. Fridge temperature is a twice-daily entry on a chart taped to the door. Facility rounds, fire-drill records, staff training attendance and biomedical waste handover slips are all paper, all stored locally, and all produced in a rush the week an accreditation assessor is due.
The problems this creates are specific rather than vague. Gaps are invisible until someone counts: a fridge chart with three missing entries looks exactly like a fridge chart until an assessor reads it line by line, and by then the excursion window has passed and the stock is questionable. Evidence is unretrievable: showing that a particular ward completed its hand-hygiene audit every month for a year means finding twelve sheets in one building. Multi-site organisations cannot compare at all, because each site keeps its own paper in its own way and nothing rolls up. And when a quality issue is found, the corrective action lives in an email thread with no closure record attached to the finding that triggered it.
Field health programmes have the additional problem that the data is collected where there is no network at all — a household survey, a screening camp, an immunisation drive — and the gap between collection and any kind of aggregate view is weeks.
In healthcare the record is frequently the control itself. These are the frameworks organisations most often build IndeForms workflows against. Which apply to you depends on your services and jurisdiction.
National Accreditation Board for Hospitals and Healthcare Providers, India
Documented and demonstrable processes across infection control, facility management and safety, patient rights and education, and continuous quality improvement, evidenced by records that show the process ran at the stated frequency.
Rounds, audits and drills become scheduled dispatches, so frequency is enforced by the system. Findings raise corrective-action tasks that must be closed with evidence, and completion by department and period is a query rather than a manual count.
International Organization for Standardization; National Accreditation Board for Testing and Calibration Laboratories, India
Documented quality and competence requirements including equipment maintenance and calibration records, internal quality control, environmental condition monitoring and non-conformity management.
Equipment, temperature and QC logs captured as validated numeric fields with acceptance ranges, so an out-of-range value is flagged at entry, raises a non-conformity task, and cannot simply be written down and moved past.
State health authorities in adopting states, India
Registration conditions, minimum standards for facilities and services, and maintenance of records and reporting in the prescribed manner.
Register-style forms with mandatory fields and named approvers, retained centrally across every site so a multi-location group can produce a consistent record set on request.
Central and State Pollution Control Boards, India
Segregation at source into prescribed categories, maintained daily records of waste generated and handed over, barcoding of waste bags, and periodic reporting to the prescribed authority.
Handover is a form with quantities per category in a repeatable section, a barcode-scanner question for the bag label, the collector’s signature captured on the device, and totals aggregated for the periodic return without a manual tally.
Government of India
Processing on a lawful basis with notice and consent where required, purpose limitation, reasonable security safeguards, and the ability to act on data-principal rights including erasure.
Consent is captured as an explicit, timestamped, signed question on the intake form rather than assumed. Access is governed by role-based permissions, deployment can be on-premise so data never leaves your estate, and retention and erasure are handled through platform-level retention and data-subject request processes.
US Department of Health and Human Services
Administrative, physical and technical safeguards including access control, audit controls, integrity controls and transmission security for electronic protected health information.
Role-based access control, audit logging of access and workflow actions, encryption of data at rest on mobile devices, and on-premise or air-gapped deployment so PHI stays inside a boundary you control.
International Council for Harmonisation; US Food and Drug Administration
Attributable, legible, contemporaneous, original and accurate source data, protocol version control, source-data verification, an audit trail of changes, and controls over electronic signatures.
Forms are versioned and each submission records the version it was captured against; approval e-signatures are verified server-side with a single-use token recorded against the task; and per-field timestamps support contemporaneity. Suitability for a specific regulated study must be assessed against your own validation plan.
IndeForms provides the access control, audit trail, versioning, e-signature and retention controls these frameworks call for. It is not itself accredited or certified, and deploying it does not make an organisation compliant. In particular, use in a regulated clinical investigation requires your own computer-system validation. We will support that assessment and can deploy fully on-premise or air-gapped so no health data leaves your environment.
Each of these is a real configuration of the platform — dispatch, offline capture, approval and reporting — not a roadmap item.
Rounds are the workhorse of hospital quality systems. Paper makes them easy to perform and almost impossible to manage as a programme.
A scheduled dispatch generates the month’s rounds from a ward and frequency list and pushes each one to the responsible infection-control nurse, pre-filled with ward, department and period.
The nurse completes the round at the bedside on a tablet. Rules make the follow-up questions and a photograph mandatory the moment an item is marked non-compliant, so a finding cannot be recorded without its evidence. Observations of hand-hygiene opportunities go into a repeatable section, and an aggregation field computes the compliance rate as the round proceeds.
Non-compliances open corrective-action tasks routed to the ward manager, and a timer escalates to the quality head when an action ages past its target. Closure requires evidence and an approval, so an action cannot be closed by assertion.
Compliance by ward and by month, repeat findings and action ageing render on the dashboard, and a scheduled report emails the current position to the infection-control committee before each meeting.
Outcome: The round programme becomes measurable and defensible: you can show frequency was met, findings were actioned, and actions were closed with evidence.
Temperature logs are the clearest case where the paper record and the actual control have drifted apart: the chart is filled in, and nobody acts on the number until stock is already in doubt.
Logging rounds are dispatched at fixed times each day to the responsible staff member. An unsubmitted round is visible as a gap immediately, rather than as an empty box discovered during an audit.
Readings are entered as validated numeric fields with the acceptance range built in. An out-of-range value colours as an exception on entry and makes the excursion questions — duration, stock affected, action taken — mandatory before the form can be submitted.
An excursion branches the workflow immediately to the pharmacy or store lead with a push notification and an email, while in-range readings close straight through with no queue.
Excursion frequency by unit, missed-round rate and time-to-response are reportable, and the retained log with per-entry timestamps is exported for the assessor rather than photocopied.
Outcome: An excursion triggers a response the same hour it is recorded, and the log is complete because a missed round is a visible, chaseable event.
Intake is where consent is either genuinely captured or quietly assumed. Structuring it protects the patient and the organisation at the same time.
Registration staff or the patient complete demographics, history and consent on a tablet. Rules branch the medical questionnaire on the answers given, so a patient sees only the follow-up questions their history triggers rather than a long generic sheet.
Consent is an explicit, separately worded question with the patient’s signature drawn on the device, timestamped and retained with the record. Where the same intake serves multiple purposes, each purpose is consented separately rather than bundled.
Clinically significant flags route to the appropriate clinician before the appointment. Access to the completed record is governed by role-based permissions so only the roles that need it can open it.
Records are retained under a defined retention policy with an audit trail of access and workflow actions, and can be exported or erased in response to a data-subject request.
Outcome: Consent is evidenced rather than assumed, the clinician gets the relevant history before the patient arrives, and the retention position is defined rather than accidental.
Field health programmes collect their most valuable data in exactly the places with no connectivity, and usually wait weeks to see any of it.
Survey forms are pushed to community health workers ahead of the drive, along with the reference lists — villages, wards, catchment areas — they will need. Everything they require is on the device before they leave.
Households and participants are captured offline, one row per member in a repeatable section, with geolocation on the record and photographs where the protocol calls for them. Forms can be presented in the local language where translations are configured, so the worker reads the question as the respondent hears it.
When workers return to coverage, submissions upload automatically. Supervisors review completeness, and statistical checks flag records that look anomalous against the rest of the dataset for follow-up.
Coverage renders as a geospatial density map, screening positivity and referral rates are queried directly, and programme reporting comes off the same data rather than a parallel spreadsheet.
Outcome: Programme managers see coverage and findings within a day of the teams returning, and the raw records stay intact and attributable behind every number.
The platform features behind the workflows above, mapped onto the constraints this industry actually works under.
Health data cannot leave the organisation’s network
The full stack installs inside your own environment, with a fully air-gapped mode where no outbound connectivity exists at all. Mobile data at rest can be encrypted with a device PIN-derived key.
Not every role should see every record
Component-level permissions govern what each role can read and write, and access and workflow actions are logged with the acting user, so the audit trail answers who saw what and who approved it.
Rounds and logs are skipped and only found missing at audit
Frequency is driven by a cron schedule rather than by memory, and an unsubmitted round is a visible outstanding task that can be chased on the day rather than an empty box found months later.
An out-of-range reading gets written down and not acted on
Acceptance ranges are part of the field. Breaching one colours the answer, makes the follow-up questions mandatory, and branches the workflow to the responsible lead immediately.
You must show which version of a protocol a record was captured against
Published versions are immutable and restorable, and each submission records the version it was captured against, so a protocol change never silently rewrites historical records.
Field programmes collect data where there is no network
Community workers capture full surveys offline, including photographs and geolocation, in a configured local language, and everything syncs when they return to coverage.
Common forms and processes healthcare & clinics teams build first.
Demographics, consent, and history capture with conditional medical questionnaires and e-signature.
Daily cleaning rounds, infection-control checklists, and equipment sterilization logs with photo evidence.
Protocol-driven forms with version control, source-data verification, and audit-grade change history.
Door-to-door surveys, vaccination drives, and outreach screenings collected offline and synced when online.
Stock counts, expiry tracking, and temperature-log compliance for vaccines and medicines.
Before, an assessor asked for a year of rounds for one ward and we spent two days finding paper. Now it is a filter and an export, and the corrective actions are attached to the findings that raised them.
The questions buyers in this industry ask before they shortlist a platform.
No. The platform enforces a hard data-isolation rule: the AI layer receives form structure, the user’s own natural-language request, and aggregate statistics only. Actual answers, submitted values, captured media and result rows are never sent to a model provider. Features that inherently depend on content, such as voice dictation into a field, function only when the configured model is self-hosted inside your environment, so nothing leaves it.
Consent is a distinct, explicitly worded question on the intake form with a signature drawn on the device, retained with a timestamp against the submission and the form version it was captured under. Where an intake serves several purposes, each can be consented separately rather than bundled into one tick. Access to the resulting record is then governed by role-based permissions and logged.
No platform can do that, and you should be sceptical of any that claims otherwise. IndeForms provides the controls those frameworks ask for — scheduled evidence capture, versioned forms, role-based access, audit logging, enforced approvals, retention and on-premise deployment — but compliance is a property of your organisation and is assessed by your assessor. We will walk your assessor through exactly how each control is implemented.
The app is offline-first. Forms, reference lists such as villages and catchment areas, and the rule logic are downloaded before the team leaves. Surveys are completed entirely on the device, including photographs and geolocation, and upload automatically on return to coverage. Forms can also be shown in a configured local language so the worker reads the question as the respondent hears it.
Yes. The platform is multi-tenant, and inside a tenant, access is scoped by role-based permissions and team membership. Site teams work with their own dispatches and submissions, while central quality can report across sites — comparing round completion, excursion rates or audit findings between locations from the same underlying records.
Pick one paper record — an infection-control round, a fridge log, a biomedical waste handover — and we will show you the scheduled, validated, escalating and exportable version, deployed inside your own network.