Lot-Level Inventory
Every dose tracks lot number, expiry, manufacturer, presentation, and funding source. Lot-level granularity is what makes recall response and registry submission possible at all. Funding source travels with the dose record.
Vaccination management software tracks vaccine inventory and storage conditions, schedules and documents administration, and submits records to state immunization registries. It supports the clinical team’s work. It does not screen patients for contraindications, determine eligibility, or decide whether an adverse event is reportable.
Vaccine programmes fail on logistics far more often than on clinical decisions: a lot number recorded wrong, a fridge excursion nobody noticed until the next audit, a registry submission rejected for three weeks. Taction builds the operational layer that makes lot-level traceability, storage evidence, and registry acknowledgement routine rather than reconstructed after the fact.

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Vaccination management software is the operational system around administering vaccines: what you hold, under what storage conditions, who is due, what was given, and where that record went afterward. It combines inventory with lot-level traceability, clinic scheduling, administration documentation, and outbound registry reporting. It sits inside the broader healthcare software development stack, and where the requirement is registry message engineering specifically rather than the operational platform, that is a separate scope. General medical inventory management covers supplies broadly. Vaccines need lot, expiry, funding source, and temperature history attached to every dose.
Every dose tracks lot number, expiry, manufacturer, presentation, and funding source. Lot-level granularity is what makes recall response and registry submission possible at all. Funding source travels with the dose record.
Storage units report temperature continuously, with excursion alerts and a retained record. Cold chain history attaches to the doses stored during that window, not just to the unit. Alerts reach a named responder.
Publicly funded and privately purchased stock must stay accountable separately. Funding segregation is enforced in the inventory model, because commingling creates a reporting problem later. Reporting to your funding programme depends on it.
The system identifies who is due against the schedule your clinical team configures. Due lists feed clinical review and patient outreach, never a clinical determination. Clinicians review every list before contact.
Site, route, dose, lot, administering clinician, and information statement version captured at the point of care. Administration records are the source for both the chart and the registry. Barcode scanning replaces manual lot entry.
Records queue, transmit, and reconcile against acknowledgements from the state registry. Submission tracking surfaces rejections as work items rather than losing them silently. Each rejection carries its reason code and an owner.
The parts teams underestimate are reconciliation and rejection handling. Sending a message is straightforward. Knowing which of last month’s 4,000 doses were accepted, which were rejected, and why, is where programmes lose weeks. We build for that from the start. Scheduling is the other place scope inflates unnecessarily: if your existing appointment scheduling platform already handles booking well, we integrate with it rather than rebuilding it, which is usually the cheaper and better answer. We build the reconciliation worklist first and the reporting on top of it, because a submission you cannot confirm is not a submission.
Receiving, transfers, wastage, expiry management, and lot-level dose accountability with wastage reporting by reason code, funding source, and storage unit. Transfers between sites keep lot and temperature history attached to the doses.
Integration with temperature sensors and data loggers, excursion alerting, and retained storage records. Our connected device and IoT work covers the sensor integration layer and its alerting path. Excursions link to affected doses automatically.
Mass vaccination clinic modelling, throughput planning, slot management, and walk-in handling alongside scheduled appointments. Campaign scheduling differs materially from routine appointment booking. Throughput modelling matters more than slot aesthetics when queues form.
Point-of-care documentation with barcode lot scanning, required-field enforcement, and information statement versioning. Barcode capture removes the transcription errors that corrupt registry submissions. Offline capture matters for mobile and pop-up clinic conditions.
Message construction, transmission, acknowledgement processing, and rejection queues built on our HL7 integration services. Rejection handling is designed as a worklist with named ownership. Ageing rejections escalate rather than sitting unseen.
Lot-based dose lookup for recall response, coverage reporting, and structured export supporting adverse event reporting. Recall lookup answers who received a given lot in minutes. Coverage reporting breaks out by site and subgroup.
We publish no figures on coverage rates, wastage reduction, or registry acceptance rates, because those depend entirely on your population, your storage estate, and your current documentation practice. What we deliver is instrumentation so your team measures impact against its own data. The category also carries a specific limitation worth stating early: software does not increase vaccine acceptance and does not compensate for a short-staffed clinic. It removes friction and produces evidence. Persuasion and capacity remain human problems that no platform resolves. The items below describe evidence and visibility, which is what software can honestly supply.
Every administered dose links to its lot and storage history. Traceability turns a recall from a multi-day chart review into a query. Storage history for that lot comes back with the dose list.
Excursions and their affected doses are recorded when they happen. Storage evidence exists whether or not anyone thought to write it down at the time. Auditors receive a record rather than a reconstruction.
Registry rejections become owned work items with age visible. Rejection visibility is the difference between a reported record and a record you believe was reported. Ageing queues make the backlog impossible to ignore.
Wastage by reason, unit, and funding source becomes reportable. Wastage data supports both stewardship and the reporting your funding programme requires. Reason codes distinguish expiry, cold chain excursion, and drawn-but-not-administered doses.
Required fields enforced at capture rather than corrected later. Completeness at source reduces the downstream rework that rejections and audits generate. Fixing a record at capture costs seconds, and later costs hours.
Hesitancy, staffing, and clinic capacity are unaffected by this software. Uptake depends on outreach, trust, and available appointments, not on the platform behind them. No platform substitutes for clinic capacity or community trust.
We sequence this work around your registry and your storage estate, because those two constraints shape everything else. Registry requirements are state-specific and non-negotiable, and storage integration depends on hardware you may already own. Discovery is paid and time-boxed and produces an itemised fixed-scope estimate with a build or configure recommendation. Where your EHR already handles administration documentation adequately, we scope only the inventory, cold chain, and reconciliation gap, using our clinical data integration approach to connect the pieces rather than replacing what works. Registry onboarding runs in parallel rather than blocking delivery.
We read your state registry’s current specification and onboarding process. Registry rules vary by state and version, and assumptions here are the most common source of rework. Specifications change between versions.
We inventory storage units, existing sensors, and data loggers. Sensor compatibility decides whether integration is straightforward or requires replacement hardware you should budget for. Sealed loggers without data access need replacing.
We watch actual administration, including mass clinic conditions if relevant. Observed workflow exposes the two-second interactions that determine whether documentation happens at the point of care. Mass clinic conditions expose different problems from routine visits.
Inventory, capture, scheduling integration, and registry messaging with reconciliation, delivered in short increments using Mirth Connect integration where an interface engine fits your environment. Reconciliation is built alongside submission, not afterwards.
We work through the registry’s test and certification sequence with your team. Onboarding timelines are set by the state, not by us, and we plan around that. We run it in parallel with other work.
One site or one campaign first, with reconciliation running fully. Pilot conditions must include a real rejection to prove the worklist behaves as designed. Only then does the second site go live.
We build vaccination platforms as operational systems with standards-based outbound reporting. Registry messaging follows the HL7 version 2.5.1 immunization profile your state specifies, and result and vaccine coding uses LOINC and CVX vocabularies as the registry requires. Compliance work covers HIPAA safeguards, state immunization registry law, consent and minor-record handling, and clear allocation of clinical and regulatory determinations to named people. Where any patient-facing text is generated rather than authored, we treat fluency as a risk to be controlled rather than a feature. State registry law, not our preference, sets the consent model we implement.
The software is operational and supportive. It does not diagnose, screen for contraindications, determine eligibility, or decide who may be vaccinated. Clinical screening is performed by the clinician at every encounter.
Adverse event reportability and causality assessment are clinical and regulatory determinations. The system structures the data and supports submission. It does not classify an event or judge causality. Submission remains a human action.
We decline to build automated eligibility denial or contraindication blocking. Access decisions belong to clinicians, and rules that refuse patients create both clinical risk and undocumented workarounds. We state that limit before contracting.
Registry participation, opt-out handling, and adolescent record access vary by state. State-specific consent rules are implemented architecturally, and registry data is never repurposed for marketing. Opt-out status is enforced at the submission boundary.
If patient reminders or after-care information are model-generated, output is grounded with source traceability and reviewed before release, and safety content such as red-flag symptom guidance is rule-enforced rather than generated.
Coverage reporting is broken out by subgroup so access gaps stay visible to your programme team. Where an outreach model is used, subgroup validation gates deployment, and it never deprioritises any patient’s access.
We have been building healthcare software since 2013, which is over 12 years, and we have delivered more than 200 healthcare projects. We built our own EHR platform, Voyant Health, and we have built FDA-registered applications, Revive Ease and PainKare, so regulated build discipline is established practice here. We are ISO 27001 certified, our leadership brings more than 20 years of personal experience in the field, and we work from four US offices in Chicago, Cheyenne, Austin, and Sacramento. We will also tell you when to integrate rather than build.
Registry submission is interface work, and HL7 messaging is long-standing practice for us, including acknowledgement handling and the reconciliation layer teams routinely omit. Acknowledgement semantics differ between state registries, and we handle those differences.
We have built FDA-registered applications, Revive Ease and PainKare, so documented requirements, traceability, and verification practice are how we work by default. That discipline carries into interface testing and release control.
Building Voyant Health means we understand chart documentation, coded vocabularies, and how administration records must appear in the clinical record. Coded vocabularies and chart presentation are not new problems for our engineers.
Taction is ISO 27001 certified, with documented access control, encryption, and change management that withstands a customer security review. Your security questionnaire is answered from existing documentation rather than improvised for you.
If your EHR and scheduling platform cover documentation and booking, we build only the gap. Narrow scope costs us revenue and gives you less software to maintain. That recommendation comes out of discovery.
Four US offices in Chicago, Cheyenne, Austin, and Sacramento, with delivery teams overlapping your working hours through registry onboarding and rollout. Escalation reaches a named delivery lead rather than a support queue.
Vaccination software pricing turns on site count, how many state registries you submit to, and the state of your storage monitoring. The tiers below cover engineering. Third-party licensing, cloud infrastructure, data subscriptions, and hardware are separate from engineering cost and itemised clearly. Hardware deserves specific mention here: temperature sensors, data loggers, gateways, and barcode scanners are a per-unit capital cost across every storage location and clinic, and on a multi-site rollout that line can be significant, so we quote it separately rather than absorbing it into a software figure. Ask for the hardware line separately.
$40,000 to $80,000 for lot-level inventory with cold chain integration and administration capture at a single site, or registry submission with reconciliation alone. One site, one registry, and one storage estate to integrate.
$80,000 to $200,000 for inventory, cold chain, administration capture, scheduling integration, registry submission with reconciliation, and coverage and wastage reporting. This tier covers most single-state programmes we are asked to scope.
Starting at $200,000 for multi-site deployments with multi-state registry submission, campaign operations, offline capability, and central inventory visibility across locations. Registry count and site count drive the final figure more than features.
A paid, time-boxed discovery phase produces a registry requirement analysis, storage estate survey, hardware budget, integrate or build recommendation, and an itemised fixed-scope estimate. The survey is yours whether or not we build.
Number of state registries, site count, existing sensor compatibility, offline requirements, and EHR integration depth. Registry onboarding timelines are set by the state and can extend schedules. We plan around that constraint openly.
Budget annually for support, registry specification changes, EHR upgrade regression testing, and sensor fleet maintenance. Hardware replacement cycles are quoted as a separate capital line. Sensor fleets fail gradually and need budget.
If your registry submissions are queued somewhere nobody checks, or your cold chain record is a clipboard, start with a survey rather than a platform. A paid discovery phase gives you a registry requirement analysis for your state, a storage estate and sensor compatibility survey with a hardware budget, an integrate or build recommendation, and an itemised fixed-scope estimate for whatever remains. If the answer is to extend what you already run, you keep the analysis and spend nothing further with us. Talk to our team about your site count, your states, and your current monitoring.
These are the questions immunization programme managers, pharmacy operations leads, and public health IT teams raise before scoping this work. Several concern boundaries we hold firmly: what the software will not decide about a patient, and which determinations remain with clinicians and regulators. Others concern timelines that are genuinely outside our control, chiefly state registry onboarding. Where an answer depends on your specific state, registry version, or existing hardware, discovery resolves it quickly, and we prefer to set expectations before a statement of work rather than after. Ask the awkward version first.
No, and we decline to build it that way. Contraindication screening and eligibility are clinical judgements made at the encounter. The system captures screening that a clinician performed and flags information for their attention. Automated refusal rules create clinical risk and push staff into undocumented workarounds that destroy your data.
Your clinical and regulatory staff do. The software structures the encounter data, makes it retrievable, and supports the submission process. It does not classify an event, assess causality, or determine reportability, because those are regulated determinations that belong with qualified people and not in a rules engine.
That depends on your state and its current queue, and it is not a timeline we control. Some registries complete test and certification in weeks, others take considerably longer. We plan the project so registry onboarding runs in parallel with other work rather than blocking it, and we tell you the risk upfront.
Often, if it exposes data through an accessible interface or an accessible vendor cloud. Some sealed logger products do not, and in those cases replacement is the honest recommendation rather than a fragile workaround. We survey the estate during discovery so the hardware budget is known before you commit.
Probably not all of it. If administration capture works in your EHR, the gap is usually inventory, cold chain evidence, and registry reconciliation. That is a smaller and cheaper build, and we would rather scope it narrowly than sell you a platform duplicating what you already run.
We make no claim that it will. Coverage reflects outreach, access, appointment availability, and trust. What the software provides is accurate denominators, subgroup coverage visibility, and reliable reminder delivery, so your team can see gaps and act. The improvement, if it comes, comes from that work.
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