Industry solution

Healthcare Providers

Beds, nurses, equipment and patient messages working as one hospital

Connect patient flow, nurse staffing, equipment uptime and patient communication, alongside the EHR you already run.

Products
7
Challenges
6
Concepts
15
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Hospital staff reviewing a live bed board while a room is readied and an infusion pump is returned to service
BigConsole(opens BigConsole in a new tab)FluidGrids(opens FluidGrids in a new tab)CrewFoundry(opens CrewFoundry in a new tab)AssetHandler(opens AssetHandler in a new tab)BuildMyIQ(opens BuildMyIQ in a new tab)Botlit(opens Botlit in a new tab)SemanticFed(opens SemanticFed in a new tab)

The problem

Why hospital operations are hard to run today

Hospital bottlenecks are linked: a late discharge holds a dirty bed, patients board in the ED, tonight's staffing shifts, and pumps and patient messages pile up, yet each is handled in a separate system or by phone.

Hospitals run on a handful of shared constraints: beds, nurses, equipment and time, and they are tightly coupled. A discharge entered late holds a bed dirty, which keeps a patient boarding in the emergency department, which changes tonight's census, which changes how many nurses a unit needs and whether a float nurse with the right competencies can be found. Each link is usually managed by a different team, in a different system or on a whiteboard.

Most hospitals already run an EHR, a bed management tool, a scheduling system, a maintenance database and a learning system. The gaps are between them: events nobody forwards, definitions that differ by department, spreadsheets that carry patient identifiers, and phone calls standing in for integration. Margins are thin and staff are stretched, so the workarounds persist because nobody has time to replace them.

This solution is not another clinical system. It is a set of operational products for live consoles, automation, staffing, equipment, learning, governed data and assistants, designed to sit beside the EHR, read what it already records through the hospital's interface engine and reporting data, and pass each signal to the team that acts on it.

Who this is for

  • Chief Nursing Officer

    Safe staffing on every unit, less reliance on agency, and float nurses sent only where they are validated.

  • Director of Patient Flow

    Beds turned over quickly, ED boarding kept down, and one live picture of the house for bed placement.

  • Director of Clinical Engineering

    PM compliance, recall response and pump availability proven from the record, not rebuilt before a survey.

  • VP of Ambulatory Operations

    Patients who get answers and reschedule easily, fewer empty slots, and urgent messages reaching a nurse first.

  • Director of Clinical Education

    In-services, check-offs and certification expiry tracked by unit, so go-lives and floats rest on real readiness.

  • CIO and Data Governance Lead

    Metrics defined once across the EHR and operational systems, identifiers masked, and every access auditable.

A day in the life

The story behind the solution

A Tuesday at capacity at Kestrel Bay Regional

Denise Okafor has run patient flow at Kestrel Bay Regional for six years. Her title says capacity; her day says phone calls. This is one ordinary Tuesday in respiratory season, told as it goes today, with each problem pointing to how the same hours are designed to go when the hospital's operational systems share their signals. The people and the hospital are fictional.

  1. 06:50 · Emergency department

    Eleven boarders and three beds nobody announced

    Denise's first look is the emergency department tracking screen: eleven admitted patients waiting for inpatient beds, two since before midnight. The bed placement nurse has already called 4 West twice. Only at 7:20 does a charge nurse mention that three rooms emptied after late discharges and were never sent to environmental services. By the time they are clean, the transfer center has declined a medical-surgical transfer from a rural hospital.

    How this is solved: Emergency department boarding and slow bed turnover

  2. 10:30 · Staffing huddle

    Tonight's census, built from last night's numbers

    The staffing coordinator, Luis Carvalho, is building nights from the midnight census. Denise knows 5 West will take three more admissions before evening. Luis's first float call reaches a nurse on her fourth straight shift; the second is not current on telemetry. By early afternoon the choice is a premium agency shift or asking 5 West to run one nurse short.

    How this is solved: Staffing tonight's census with the right nurses

  3. 13:15 · 5 West

    Two admissions and no pumps

    Aisha Rahman, the 5 West charge nurse, calls: two patients are on their way up and there are no free infusion pumps on the unit. Biomedical engineering has pumps, but some sit in soiled utility rooms, some are tagged out, and a recall notice for one model arrived by email that morning. A technician spends the afternoon walking floors with a printed serial list.

    How this is solved: Infusion pumps that are missing, overdue or recalled

  4. 15:00 · GI clinic

    Forty messages and one that mattered

    Across the street, the gastroenterology clinic's phone queue has not cleared since lunch, and forty web and text messages wait unanswered. Most ask about bowel prep timing, parking and rescheduling. One, from a patient describing new chest pain, sits unread behind a parking question until a nurse scrolls down to it. Three of tomorrow's procedure slots will go empty. Denise hears about it only at six, when that patient walks into her emergency department and joins the tracking screen she has watched all day.

    How this is solved: Patient messages, prep questions and missed appointments

  5. 16:30 · Go-live committee

    Is 5 West ready for the new pumps?

    The smart pump go-live committee asks the question nobody can answer: which units have finished the in-service and the hands-on check-off? The clinical educator, Lindiwe Mbeki, has sign-in sheets from fourteen sessions and a spreadsheet of certification expiry dates. Biomed wants to swap 5 West next week, and Denise wonders how many of this morning's float nurses were ever checked off.

    How this is solved: Competencies, certifications and new-equipment go-lives

  6. Wednesday 09:00 · Safety huddle

    Three numbers for one question

    The safety huddle opens with the emergency department reporting fourteen boarders, bed management nine and finance's census a third figure. Ten minutes go to reconciling definitions. Then the privacy officer, Tomás Ferreira, holds up a printout: the shared bed spreadsheet emailed to thirty people each morning carries patient names and dates of birth.

    How this is solved: Numbers the safety huddle can trust, without exposing patients

None of these problems is exotic, and none is solved by one system. They are hand-offs: between the EHR and environmental services, census and staffing, education and equipment, patients and nurses. The products in this solution are designed to carry those hand-offs, so Denise's phone rings for decisions rather than for missing information.

Challenges and how they are solved

6 problems, several products, one connected answer

Each challenge shows the problem as it happens, how the products are designed to hand work to each other, and the concepts that illustrate it. Share any challenge on its own.

Challenge 1 of 6

Emergency department boarding and slow bed turnover

BigConsole(opens BigConsole in a new tab)FluidGrids(opens FluidGrids in a new tab)

The problem

At 6:50 a.m. the emergency department is holding eleven admitted patients in hallway beds and treatment rooms, two of them since before midnight. Upstairs, three rooms on 4 West emptied after late-evening discharges, but the discharges were entered after 11 p.m. and nobody told environmental services, so the rooms are still marked dirty. The bed placement nurse is phoning charge nurses one by one, the house supervisor is reading a census printed at midnight, and the transfer center is telling an outside hospital there is no medical-surgical bed while one sits empty.

What it costs

Boarded patients wait longer for inpatient care, ambulance offload slows, outside transfers get declined, and the morning goes to phone calls instead of moving patients.

How the products work together

FluidGrids is designed to receive admit, discharge and transfer events that the hospital's interface engine forwards to a FluidGrids webhook, plus cleaning-status updates from the bed management or environmental services system. When a discharge lands, the workflow raises the cleaning request in that system, starts a timer against the target turnaround, and escalates to the house supervisor if the clean runs long. Each bed state change is pushed into a BigConsole datasink, and BigConsole turns those rows into a live bed board by unit (occupied, pending clean, available, discharge-ready) with ED boarding time beside it. Alert rules such as ED boarding over four hours are designed to route to the bed placement channel by severity. When the clean is marked complete, the workflow flips the bed to available, so bed placement sees it on the next refresh rather than on the next phone call.

The outcome it is designed for

Bed placement, the house supervisor and the transfer center are designed to work from one live board, with dirty and discharge-ready beds surfaced before anyone has to call for them.

The concepts behind it

FluidGrids

Bed Turnover and Environmental Services Dispatch

The workflow behind the board: a discharge arriving by webhook raises the room's cleaning request, tracks it against a target time, escalates if it runs long and marks the bed ready.

Works with BigConsole

Concept pagefor Bed Turnover and Environmental Services Dispatch on the FluidGrids website (opens in a new tab)

Challenge 2 of 6

Staffing tonight's census with the right nurses

CrewFoundry(opens CrewFoundry in a new tab)FluidGrids(opens FluidGrids in a new tab)BigConsole(opens BigConsole in a new tab)BuildMyIQ(opens BuildMyIQ in a new tab)

The problem

At 10:30 a.m. the staffing office is building the night shift. The midnight census says 5 West will be fine, but three admissions are already queued in the emergency department and two post-op patients are coming up from recovery. The coordinator works from a spreadsheet grid, a whiteboard of float-pool names and a group text. The first float nurse he calls is on her fourth twelve-hour shift in a row; the second cannot take telemetry patients because her competency validation lapsed last month. By 2 p.m. the only answer left is a premium-rate agency shift.

What it costs

Units run short or pay premium agency rates, float nurses get sent where they are not validated, and the same few people absorb the extra shifts until they burn out.

How the products work together

FluidGrids is designed to compute each unit's projected next-shift census (midnight census plus queued admissions and transfers, minus expected discharges) from the governed census queries, push it into a BigConsole datasink for the huddle board, and post the same figures to CrewFoundry as the staffing baseline. Each unit's staffing matrix lives in FluidGrids as versioned decision rules, census and acuity in and required nurses out. CrewFoundry's staffing grid is designed to compare required with scheduled nurses, flag short units, and rank float-pool and per-diem nurses by competencies validated in BuildMyIQ and by hours worked this week; nurses whose validation has lapsed are flagged to BuildMyIQ for a repeat check-off. When the coordinator posts an open shift, CrewFoundry is designed to offer it to eligible nurses in its mobile app, and a FluidGrids workflow records who accepted and updates the grid.

The outcome it is designed for

The staffing office is designed to see tonight's gaps by mid-morning and fill them with nurses who are validated for the unit and not already stretched, before agency becomes the only option.

The concepts behind it

Challenge 3 of 6

Infusion pumps that are missing, overdue or recalled

AssetHandler(opens AssetHandler in a new tab)FluidGrids(opens FluidGrids in a new tab)Botlit(opens Botlit in a new tab)

The problem

At 1:15 p.m. the charge nurse on 5 West has two admissions on the way and no free infusion pumps. Six are sitting in a soiled utility room on another floor, two are tagged out with an alarm fault, and nobody on the unit knows which ones are due for preventive maintenance. That morning biomedical engineering received a manufacturer recall notice by email covering one pump model and a range of serial numbers, and a technician is now walking the floors with a printed list. The accreditation survey window opens next month and PM completion still lives in three spreadsheets.

What it costs

Nurses hunt for and hoard equipment, rentals get ordered for devices the hospital already owns, recalled units stay in use longer than they should, and PM compliance is proven by scramble rather than record.

How the products work together

AssetHandler is designed to hold every medical device as one record: model, serial number, location, custody, preventive maintenance schedule and service history. Its equipment board shows PM due and overdue by risk class, recall tasks by serial number, and pumps available per unit as of each device's last scan. When biomedical engineering logs a recall notice's model and serial range in a FluidGrids form, the workflow is designed to match them against the AssetHandler register and open a work order for each affected device, so the team works an owned queue instead of a clipboard. Technicians scan a tag to check a pump out of soiled utility, inspect it and return it to the unit. AssetHandler is built to keep its knowledge content on Botlit knowledge bases, so a Botlit assistant grounded in service manuals and past repair notes is designed to answer a stuck technician with the passage it used, or say plainly that nothing matches.

The outcome it is designed for

Biomedical engineering is designed to work recalls and overdue PM as one queue, nurses can see where available pumps were last scanned, and survey evidence comes from the record instead of a scramble.

The concepts behind it

Challenge 4 of 6

Patient messages, prep questions and missed appointments

Botlit(opens Botlit in a new tab)FluidGrids(opens FluidGrids in a new tab)BigConsole(opens BigConsole in a new tab)

The problem

At 3 p.m. the gastroenterology clinic has forty unanswered web and text messages and a phone queue that has not dropped below twelve callers since lunch. Most are the same questions: when to start the bowel prep, where to park, whether a driver is required, how to reschedule. Three of tomorrow's procedure slots will go empty because patients never confirmed and nobody had time to offer them to the waitlist. Buried in the queue is a message from a patient describing new chest pain, sitting unread behind a parking question.

What it costs

Nurses spend skilled hours on logistics, patients who cannot get through miss prep steps or appointments, open slots go unused, and urgent messages wait behind routine ones.

How the products work together

Botlit is designed to answer on the clinic's website chat and messaging channels, only from approved patient instructions and citing them, so routine prep, parking and reschedule questions are answered before they become portal messages or calls; messages sent through the EHR portal stay in the EHR inbox. Workspace content policies are designed to block record numbers and other identifiers from its replies, and the assistant is scoped to approved logistics content only. Anything that reads as a symptom goes to the nurse triage queue with the conversation attached, and the patient sees the clinic's urgent-care instruction. Urgency flags are a sorting aid only; every clinical message still goes to a nurse, and the assistant is not an emergency channel. FluidGrids is designed to run reminders, confirmations and a reschedule workflow that offers released slots to the waitlist, and to pass no-show figures to a BigConsole datasink.

The outcome it is designed for

Routine questions are designed to be answered consistently from approved content, clinical messages go straight to a nurse, and released slots are offered to waiting patients instead of going empty.

The concepts behind it

Challenge 5 of 6

Competencies, certifications and new-equipment go-lives

BuildMyIQ(opens BuildMyIQ in a new tab)CrewFoundry(opens CrewFoundry in a new tab)AssetHandler(opens AssetHandler in a new tab)FluidGrids(opens FluidGrids in a new tab)

The problem

At 4:30 p.m. the go-live committee for the new smart infusion pump fleet meets. Every nurse who programs a pump needs an in-service and an observed hands-on check-off before the new pumps reach their unit, and biomedical engineering wants to swap floor by floor. The education team has sign-in sheets from fourteen sessions, a learning system that records the video but not the check-off, and a separate spreadsheet of life support certification expiry dates. Nobody can say which units are ready, and staffing keeps floating nurses who have not been checked off.

What it costs

Go-lives slip or proceed with staff who are not ready, educators chase paperwork instead of teaching, and staffing cannot trust that a float nurse is validated for the unit's equipment and patients.

How the products work together

BuildMyIQ is designed to run the in-service as a course with a cohort per unit, a short knowledge assessment and an observed skills check-off signed by the educator, then issue a certificate; expiry dates and recertification reminders are designed extensions. Each validated competency is designed to be written to the nurse's profile in CrewFoundry's skills graph, where the staffing grid reads it before suggesting a float assignment. BuildMyIQ rolls completions and expiring validations up by unit; when a unit crosses the threshold the committee set, BuildMyIQ is designed to hand it to AssetHandler, for example through a FluidGrids workflow that opens that unit's pump-swap work orders, so biomedical engineering can schedule the swap and retire the old devices' records.

The outcome it is designed for

Educators, staffing and biomedical engineering are designed to read one competency record, so new equipment reaches a unit when its nurses are ready and floats go only where they are validated.

The concepts behind it

BuildMyIQ

Clinical Competency Check-offs and Expiry

The educator's readiness view: in-service and check-off status by unit, expiring validations, and a go-live status that hands ready units, through a FluidGrids workflow, to AssetHandler for the pump swap.

Works with CrewFoundry, AssetHandler, FluidGrids

Concept pagefor Clinical Competency Check-offs and Expiry on the BuildMyIQ website (opens in a new tab)

Challenge 6 of 6

Numbers the safety huddle can trust, without exposing patients

SemanticFed(opens SemanticFed in a new tab)FluidGrids(opens FluidGrids in a new tab)BigConsole(opens BigConsole in a new tab)Botlit(opens Botlit in a new tab)

The problem

At 9 a.m. on Wednesday the daily safety huddle opens with an argument. The emergency department reports fourteen boarders, bed management says nine, and finance's midnight census disagrees with both, because each counts observation patients and boarding start time differently. The quality director brings a report built by joining three extracts by hand. Then the privacy officer points out that the unit bed spreadsheet emailed to thirty people every morning carries patient names and dates of birth.

What it costs

Leaders debate the number instead of the action, analysts rebuild the same joins every week, and patient identifiers spread through spreadsheets and inboxes that nobody governs.

How the products work together

SemanticFed is designed to query the EHR's reporting data where it lives, through a supported database or warehouse connector (or a governed extract where that database is not yet supported), together with the bed management and staffing systems, and to model the hospital's definitions once as versioned, reviewed metrics: what counts as a boarder, when boarding starts, how observation patients count toward census. It flags identifier columns such as dates of birth and proposes masking rules that stay inactive until a person approves them. FluidGrids is designed to run those governed, masked queries on a schedule and push the results into BigConsole datasinks; BigConsole consoles then give the huddle one number per metric, and the Explain panel is designed to state what changed overnight, citing the datasink and field behind each statement. A Botlit agent is designed to query the same console, so a chat answer and the board agree.

The outcome it is designed for

The huddle is designed to start from one agreed definition per metric, with every figure traceable to its source, identifiers designed to be masked before they reach a board, and the emailed bed spreadsheet replaced by a role-based console link.

The concepts behind it

How it fits together

How it fits together in a hospital

One pass through a hospital's operational signals: definitions agreed, events captured, the house made visible, nurses matched to census, competency gaps closed, equipment readied and people answered. Each step is one product doing one job and handing its output to the next.

  1. To FluidGrids: Governed, masked queries for census, bed status and boarding time

  2. To BigConsole: Rows pushed into keyed datasinks for bed status, projected census and ED boarding

  3. To CrewFoundry: Projected census by unit, which the FluidGrids workflow also posts to CrewFoundry

  4. To BuildMyIQ: Float nurses whose competencies have lapsed, sent for re-validation

  5. To AssetHandler: Units past the go-live threshold, passed through a FluidGrids workflow that opens pump-swap work orders

  6. To Botlit: Service manuals and repair notes kept as Botlit knowledge bases for the technician assistant

Step 1 of 7: Agree the definitions

Products in this solution

What each product brings

  • BigConsole

    Live bed board and huddle consoles

    BigConsole builds governed, live consoles fed by keyed datasinks, such as a patient-flow bed board, and is designed to add alert rules on a datasink, an Explain panel that cites its sources, and identifier masking at the datasink boundary.

    Visit BigConsoleAll concepts

  • FluidGrids

    Event capture and hospital automations

    FluidGrids runs workflows from webhooks, schedules and forms, and feeds BigConsole datasinks. Here it is designed to carry discharges, cleaning requests, projected census, recall matches, reminders and shift acceptances.

    Visit FluidGridsAll concepts

  • CrewFoundry

    Census-based nurse staffing

    CrewFoundry keeps every worker type on one profile with skills and resourcing views, and is designed for frontline shift crews, including healthcare; shift rosters and skills-based staffing are on its roadmap.

    Visit CrewFoundryAll concepts

  • AssetHandler

    Medical equipment lifecycle

    AssetHandler is a system of record for assets with tagging, custody, preventive maintenance, work orders and service history, and is designed for healthcare organizations that track regulated medical equipment.

    Visit AssetHandlerAll concepts

  • BuildMyIQ

    In-services, check-offs and certifications

    BuildMyIQ runs courses, cohorts, assessments and verifiable certificates, and supports mandatory training with an audit-ready record; certificate expiry and observed check-offs are designed extensions for clinical competency tracking.

    Visit BuildMyIQAll concepts

  • Botlit

    Assistants for staff and patients

    Botlit builds governed agents grounded in your own knowledge bases and is designed to deploy them to web chat and messaging channels under workspace content policies, with hand-off to a staff inbox, which suits patient logistics and equipment questions.

    Visit BotlitAll concepts

  • SemanticFed

    Governed definitions and identifier masking

    SemanticFed is designed to query data where it lives through supported connectors, model each metric once for every consumer, and propose masking for sensitive columns that only a person can approve, so huddle boards and assistants agree.

    Visit SemanticFedAll concepts

One platform underneath: Burdenoff Workspaces

All seven products run on Burdenoff Workspaces: one sign-on for staff across every product, role-based access that keeps each unit and clinic to its own view, one audit trail across consoles, workflows and assistants, and one bill for the organization.

Concept gallery

Every concept in this solution

15 concepts from 7 products. Each one links to its own page on the product's website, and every view has a link you can share.

Pitch kit

The Healthcare Providers solution in one minute

Hospitals lose hours in the gaps between systems: discharges nobody forwards, staffing built on stale census, pumps nobody can find and patient messages in one long queue. Seven Burdenoff products, BigConsole, FluidGrids, CrewFoundry, AssetHandler, BuildMyIQ, Botlit and SemanticFed, are designed to sit beside your EHR and carry each hand-off, from discharge to clean bed, census to night roster, recall to work order, to the team that owns it.

  • A live bed board fed by discharge and cleaning events, designed to flag long ED boarding and slow cleans
  • Night-shift staffing built on projected census, with float nurses matched by validated competency
  • Medical equipment PM, recalls and pump availability worked as one biomedical engineering queue
  • A patient assistant that answers from approved instructions and hands clinical messages to nurses
  • Metrics defined once, with patient identifiers designed to be masked before they reach a board
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Questions

Frequently asked

Does this replace our EHR?

No. The products are designed to sit beside the EHR and other clinical systems, reading events the interface engine forwards and reports those systems already produce, and moving operational signals between teams. Clinical documentation, orders and results stay where they are today.

Will the patient assistant give medical advice?

No. It is designed to answer only from the clinic's approved patient instructions and cite them, and to hand anything that reads as a symptom or clinical question to the nurse triage queue with the conversation attached. Workspace content policies are designed to block record numbers and other identifiers from its replies, and the assistant is scoped to approved logistics content only. Urgency flags are a sorting aid, and the assistant is not an emergency channel.

How is patient information protected?

Identifier columns can be detected and proposed as masking rules that stay inactive until a person approves them, and consoles are designed to mask identifiers before any chart can show them. Access is role-based and actions are logged. Your privacy and compliance teams should review how any regulatory obligations apply; this page does not claim any certification.

Do we need all seven products?

No. A hospital might start with one bottleneck, such as the bed board and bed turnover workflow or equipment PM and recalls, and add products as each hand-off proves useful. Because every product runs on the same Workspaces foundation, adding one does not start a new access or logging project.

Is this available today?

This page describes a solution concept. The products are early, and several capabilities shown here are in design or development. We would welcome a conversation about your hospital's priorities to shape what comes first.

Does it work for clinics and multi-site care networks?

Yes, by design. Consoles can be templated per site with role-based access so each site sees its own figures, and the patient assistant, reminder workflows and equipment records can be organized by clinic or campus.

Related domains

Where these products also work together

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This is a solution concept: it shows how Burdenoff products are designed to work together in this industry. The images are illustrations of the concepts, not screenshots of the actual products, and every name and figure in them is sample data.