Always-on clinic workspace: routines people release
Routine follow-through runs under rules your team sets, pauses on request, and re-checks the open chart before it resumes.
Product preview · Fictional patient data
My work
A quiet inbox looks like nothing is wrong. Late morning labs, open evening callbacks and unverified portal sends hide in separate lists where arrival order buries overdue work.
Needs action
Waiting
Completed
What moved: Elena’s outside monitoring result arrived late, so it moved from Waiting to Needs action. Its tracker now reads received. Checking it, and Dr. Mira Lee’s clinical review, are still open.
For your team
The same work, with the source, the owner and the next step in view.
TodayA quiet inbox looks like nothing is due.
With OvaFlowExpected results are tracked, so one that hasn't arrived shows up as work.
TodayTasks sit in the order they arrived.
With OvaFlowNeeds action, Waiting and Completed, sorted by when each item is due.
TodayThe same request lands in two lists and gets done twice, or not at all.
With OvaFlowOne task, with both sources attached.
TodayClosing one task quietly closes the ones that depend on it.
With OvaFlowEach linked commitment stays open until its own evidence arrives.
How it works
Every expected result passes five checkpoints. The row stays in My work until the last one, and each checkpoint names who closes it.
The plan says a result is coming. Its absence is visible, so a quiet inbox cannot hide it.
Coordinating nurse follows up
The sample has been taken. There is still nothing to read, and the row keeps waiting.
Outside lab or clinic
The result reached the clinic. The row moves to Needs action and says why it moved.
Coordinating nurse
Staff confirm it belongs to the right patient and cycle, then route it for review.
Coordinating nurse
The clinician reviews the result and decides. OvaFlow shows it; it never interprets it.
The clinician
Rules the queue keeps
Keeping late results in view
In a standard clinic inbox or task list, new routine messages push older items down the screen, and an expected morning lab that never arrived from the reference analyzer generates no row at all. Systematic reviews of outpatient diagnostic tracking show that 6.8% to 62% of abnormal lab tests lack documented timely follow-up when clinics rely on passive arrival queues [1].
Furthermore, when a single clinical change—like moving a trigger shot by 30 minutes—requires actions from nursing, procedure scheduling, anesthesia, and embryology, checking off a single shared task hides the remaining uncompleted steps [2]. My work gives each role three clear buckets (Needs action, Waiting, Completed), tracks every ordered result through five explicit stages (Expected → Collected → Received → Checked → Clinically reviewed), and keeps linked cross-team obligations independent.
Sorted by newest message received
Needs action · Waiting · Completed
Morning monitoring labs due by 14:30 PDT that are still at Stage 2 (Collected) automatically move to the top of Nora Ruiz’s Needs action queue, even though no new message arrived.
When a patient sends both a portal message and a voicemail asking about evening injection supplies, My work merges them into one obligation with both timestamps attached so two nurses do not call back separately.
Dr. Mira Lee’s signed version 3 trigger amendment creates four linked obligations across the respective role queues, sorted by their due windows rather than arrival order.
When Nora’s portal publication is verified in the EMR at 17:16 PDT, only her publication row moves to Completed. The procedure room, anesthesia, lab prep, and evening callback rows remain active until each has its own evidence.
System boundaries
Clear operational boundaries keep clinical authority, prescribing, and laboratory witnessing inside your clinic’s own systems. See AI & clinical boundaries for full governance rules.
Questions & primary sources
Because the lab is entered as Expected when ordered, it does not wait for an inbound HL7 or portal message to appear. If it has not advanced from Collected to Received by the clinic’s cutoff window, it rises to the top of Needs action.
Yes. Every row in My work shows its current named owner, the due window, the specific blocker (for example, awaiting clinician approval vs awaiting EMR readback), and whether coverage has been offered or accepted.
In many clinics those land in two different staff lists, leading to confusion or conflicting callbacks. OvaFlow links both to the same care item so one nurse sees your full message history and responds clearly.
See it
Recorded from an interactive design prototype. Every patient, clinician and clinic is fictional, and EMR screens are modeled reconstructions.
Routine follow-through runs under rules your team sets, pauses on request, and re-checks the open chart before it resumes.
Accession holds, amended PGT reports, cryo tank signals and pharmacy change requests land in one queue, each with a named owner.
Two people's workups run in parallel, the sperm-source prerequisite is flagged early, and an oncology referral gets a retrieval window both teams accept.
Next step
We'll sort it the way My work does: one owner, the latest update, the blocker and the next step for each item. Fictional records only; please don't send patient data.