Healthcare
Kliv is an AI app builder. Describe your hospital queue management system: check-in tokens, clinical stages, timed holds, priority rules, station screens, and a wall display that shows numbers, not names.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a queue-ticket product you configure. It’s an AI app builder that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the data, the logic, the screens, and the access rules. What you get is a real application that’s yours. You can use it, change it later by asking, and run it on your own accounts. It isn’t a template.
On this page, that app is a clinic queue system for tokens, stages, holds, priority rules, and wait-time reporting. Kliv builds all kinds of web apps; this is one healthcare flow example.
An eye clinic can have one waiting room but several queues. Check-in, acuity testing, dilation, and consult each move at a different pace. Post-op reviews and urgent referrals may need to move ahead by rule.
A simple take-a-number system cannot remember when drops were given or when a patient should return to the consult queue. Kliv builds the visit record that carries each stage, hold, timestamp, and priority rule.
Six records carry a clinic day without a clipboard.
Check-in issues a token. The visit record underneath keeps the referral, stages, and clock. The wall display shows the number; names stay with signed-in staff.
Check-in, acuity, dilation, and consult are separate stages. A visit is in one state at a time, including the state between rooms.
If drops go in at 9:40, the hold records a 10:05 release time and returns the visit to the consult queue on schedule.
Post-op day-one reviews and urgent referrals can enter ahead of walk-ins because the rule is written once in the system.
The acuity nurse sees the next patients for acuity. The consultant sees the consult queue with acuity results attached. Each role gets the slice it needs.
Waits are tracked by stage and hour as they happen, so the department can see where the morning actually ran long.
Here’s how one clinic might use a queue system built with Kliv. It’s only an example — you would describe your own stages, holds, and priority rules.
Ngozi’s desk issues token 47. The board shows the number, and the visit record stores the referral and starts the clock.
The nurse records the acuity test on the visit. The consultant sees it later without asking someone to find a slip of paper.
Drops go in at 9:40 and release at 10:05. The patient stops holding a place by sitting still; the queue remembers the timing.
At 10:05, token 47 returns to the consult queue with the original clock intact. The patient does not restart behind everyone who arrived during the hold.
A post-op day-one patient arrives and the priority lane places them ahead. The desk can point to the rule instead of arguing.
The data shows dilation released on time, but consult ran twenty minutes behind. The next clinic can add consult capacity instead of guessing.
Kliv builds from your description, so include the stages, timing rules, privacy rules, displays, and reports you need. Here are three examples:
Stages, timed dilation, and priority reviews.
“Build a patient queue for our outpatient eye clinic. Use check-in tokens, acuity testing, a 25-minute dilation hold that re-queues automatically, priority for post-op reviews and urgent referrals, and a wall display that shows token numbers only.”
Appointments and walk-ins with room-specific lists.
“Build a queue system for our physiotherapy department. Booked patients and walk-ins should share intake and treatment stages, booked patients should keep appointment priority, and each treatment room should see its own next-up list.”
Separate lanes and hourly wait charts.
“Build queue management for our hospital blood-draw room. Include fasting and standard lanes, a fast lane for urgent inpatient requests, a wall display of token numbers, and hourly wait-time charts for the lab manager.”
Every move is recorded. A visit moving from hold to consult is a timestamped write. If someone complains that another patient jumped the queue, the answer comes from the visit log: who moved, when, and under which rule.
The wall display is just a web page. Any screen with a browser can show token numbers and stages. The display never receives names because the page was not given names to render.
The day’s summary can send itself. A scheduled job can email stage-by-stage waits after the last patient leaves, so staffing conversations start from the same chart.
A queue board is the kind of internal tool that often falls between budgets. The wider pattern is covered in internal tools that don’t wait for a budget line.
Kliv is an AI app builder. You describe your queue rules, stages, and screens, and it builds a real web app for that workflow.
A real app. The stages, holds, priority rules, and reports are built around your clinic rather than a fixed ticketing template.
Yes. You can ask to add a stage, change a hold time, add a priority lane, or change what each station sees.
Token numbers, stages, and who is next. Names can stay out of the display entirely, while signed-in staff read the visit records they are allowed to see.
You can set the rule. For example, after two calls the visit can park instead of disappearing, then return to the same stage when the patient checks back in.
No. A browser screen can be the wall board, desk staff can use existing computers, and nurses can move visits between stages from phones or tablets.
Yes. You describe which cases go first, such as post-op day-one reviews or urgent referrals, and the app applies those rules consistently.
Yes. Each stage change is timestamped, so the app can chart waits by stage, hour, clinic day, and station.
Yes. Each station can get its own view: check-in, acuity, consultant, manager, or wall display.
Yes. The code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
No. The app is its own admin. Authorized staff can edit stages, rules, and display text inside the app.
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Describe your stages, holds, priority lanes, and displays in detail. Kliv builds the hospital queue system that runs the day from those rules.