Process Excellence for Healthcare & Life Sciences

Reduce administrative burden and improve care quality by capturing how intake, documentation, coordination, quality, and compliance workflows really happen across teams.

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Challenges

Challenges We Solve

Intake, documentation, referral, and follow-up workflows are fragmented across clinicians, operators, and administrative teams

Capture current-state healthcare workflows from real stakeholder conversations and turn them into structured, editable process maps

Organizations often automate legacy administrative steps before fixing workflow friction

Create a clearer current-state baseline so teams can redesign unnecessary steps before layering on AI or automation

Quality, SOP, and compliance documentation are difficult to keep aligned with operational reality

Maintain living workflows with visible roles, handoffs, and ownership that support process improvement and audit readiness

How it works

How Healthcare Teams Use Sapeum

  1. 1

    Capture current-state operations

    Use workshops, interviews, and transcripts to document how patient intake, referral coordination, documentation, and operational handoffs actually happen.

  2. 2

    Structure workflows for review

    Turn fragmented knowledge into editable workflows with steps, roles, decisions, and dependencies that teams can refine together.

  3. 3

    Improve before automating

    Use the workflow as a baseline for redesign, SOP alignment, and audit-ready process maintenance before implementing new technology or AI.

LIVE
Clinical Trial Site Selection · 11:47
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[G] Site Initiation Visit[D] Contracting[M] Last Patient, Last Visit(LP/LV)[Q] Hand Locked Datasetto Biostatistics[K] On-Study Treatment and Follow-up[H] Confirm Site ActivationReadiness[J] Patient Recruitment[F] Collect EssentialDocuments and File TMF[C] Site Feasibility[I] Give Site Green Light toEnroll[B] Receive FinalizedProtocol[P] Unblinding[E] Obtain IRB / EthicsApproval[L] Last Patient In (LPI)[N] Database Cleaning[O] Lock Database[A] Finalize Protocol[K.4] Perform ProtocolAssessments[K.5] Enter Visit Data intoEDC[K.10] Protocol Deviation Management[K.9] Expedited SAE Reporting[K.3] Conduct Study Visits[K.6] Monitoring[K.7] Raise Data Query[K.1] DispenseInvestigational Product[K.8] Site Resolve Query[K.2] Maintain DrugAccountability[J.5] Screening[J.6] Did Patient PassScreening?[J.4] Informed Consent[J.1] Advertise for Patients[J.2] Review Charts forCandidates[J.3] Prescreen AgainstObvious Criteria[J.8] Hit EnrollmentTarget?[J.7] Enroll andRandomize Patient[C.2] Send FeasibilityQuestionnaires[C.3] Score Feasibility andBuild Shortlist[C.5] Did Site PassSelection?[C.4] Conduct SiteSelection Visit[C.1] Identify CandidateSites[C.6] Drop Site[C.7] Short of TargetNumber of Sites?[N.5] Is DatabaseClean?[N.4] Reconcile ExternalData[N.2] Reconcile SAEsAgainst Database[N.3] Reconcile Drug[N.1] Resolve OpenQueries[K.10.1] Log ProtocolDeviation[K.10.2] Report ProtocolDeviation[K.9.3] Report SAE toRegulators[K.9.1] Report SAE toSponsor Safety Group[K.9.2] Does SAERequire RegulatoryReporting?DeviationidentifiedYesYesSAE identifiedReverifyNoNoDiscrepancyfoundNoYesYesYesYesNoYesDescriptionAfter the essentialdocuments are collectedand filed, the next step isthe site initiation visit (SIV).This is where the clientgoes in and trains the site.Walk the coordinatorsand the PI through theprotocolTrain them on the EDCsystemExplain how to handlethe investigationalproductExplain how to reportadverse eventsExplain what counts asproper sourcedocumentationAfter that, the site istrained and, in theory,ready.The client added thatshortcuts here createdownstream problemslater. Weak coordinatortraining at initiation doesnot stay local to startup; itshows up later inenrollment quality, queryburden, and eventualdatabase cleaning.The client furtheremphasized that the cleanlock is built, or lost, inmonth 2 at the SIV. This isthe point where the teameffectively decides howdisciplined the site is goingto be for the rest of thetrial.ProblemsPeople sprint to activatethe site and start enrollingbecause that's the visiblemilestone, and they pay forthat haste for the entirerest of the trial.SystemsEDC systemDescriptionOnce a site passesselection, the next step iscontracting. The clientdescribed this as the slowpart.Negotiate the clinicaltrial agreementNegotiate the budgetPatient costs sit with thesite or the institutionProblemsThis is almost always thelong pole in startup. Legalteams on both sides goback and forth, and it caneat months.DescriptionAfter LPI, the trial stays intreatment and follow-upuntil the last patientfinishes their last visit. Thisis the moment the datastops coming in.DescriptionThe locked clean datasetgets handed tobiostatistics for analysis.The client described this asthe end of the operationsarc. From here, it becomesa statistics and reportingstory rather than anoperations process.DescriptionAfter the patient is enrolled and randomized, they are in the trial and move into the ongoing treatment / follow-up rhythm.DescriptionActivation is its owncheckpoint. Before a sitegets the green light toenroll, the client confirmseverything lines up:CTA executedIRB approvedEssential documentscompleteDrug actually shipped tothe siteSIV doneThe client stressed thatteams often sprint towardactivation underimmovable deadlinesbecause activation andfirst enrollment are thevisible milestones.ProblemsThere is pressure to rushthrough activationbecause enrolling is thevisible milestone, but thathaste creates problemsthat persist through therest of the trial.DescriptionOnce the site is active, the process moves into patient recruitment. The client described this as the coordinator's world at the site.You need X patients, and the screen fail rate is brutal.ExecutorsClinical Research Coordinator (CRC)ProblemsThis is where slow enrollment lives. This is the thing that keeps everybody up at night.DescriptionBeyond the contract andthe IRB, the team collectsand files the essentialdocuments into the TrialMaster File (TMF).Form 1572Investigator CVsFinancial disclosuresLab certifications andtheir normal rangesSigned protocolThe TMF is the regulatoryrecord of the trial. Theclient emphasized: 'If it'snot in the TMF, it didn'thappen' from the auditor'sperspective.Collecting thesedocuments is also a gate.The site is not activatedwithout them.SystemsTrial Master File (TMF)DescriptionThis is the next part of the process after the finalized protocol reaches the client team. The work is about finding sites and determining who will actually be able to run the trial and enroll patients.DescriptionOnly when everything isclear does the site goactive. That's the greenlight. At that point, the siteis live and can beginrecruitment.DescriptionThis is the point at whichthe process reaches theclient team. The finalizedprotocol is treated as thecore governing document:'the Bible' for everythingthat follows.DescriptionOnce the database islocked, treatmentassignments get revealed.DescriptionIn parallel withcontracting, the site'spackage goes to the IRB /ethics committee forapproval. A single patientcannot be enrolled untilthat approval is granted.DescriptionThis is the first bigmilestone as the trialbegins to wind down. LPI isreached once theenrollment target has beenhit. At that point,recruitment closes, andthe study continues withtreatment and follow-upfor already enrolledpatients.DescriptionAfter Last Patient, Last Visit, the database is not ready to lock yet. The team has to clean it.This is a loop until the database is genuinely clean.The client clarified that this should not be understood as a standalone end-stage problem. Database cleaning reflects the accumulated consequences of earlier execution choices across startup and enrollment, including shortcuts at site initiation,insufficient coordinator training, and queries that were allowed to pile up instead of being resolved in the moment.As the client put it: all of that comes to you at lock.The client further emphasized that teams that lock clean and on time are the ones that were boringly rigorous about source and queries from the very first patient.ProblemsThis is the part people underestimate.DescriptionThe database is lockedonly once datamanagement is satisfiedthat there is nothingoutstanding and databasecleaning is genuinelycomplete.This is a hard lock. Nomore edits can be madewithout a controlled,documented reopening,which the client saidnobody wants to do.ExecutorsData ManagementDescriptionThe protocol is alreadyfinalized before it reachesthe client's desk. The clientdescribed this as beingowned by the sponsor'smedical and clinicalpeople.ExecutorsSponsor medical teamSponsor clinical teamDescriptionAt the study visits, the sitedoes the protocolassessments.DescriptionThe coordinator enters allthe visit data into the EDC.This includes routinerecording of any adverseevent (AE) as part of thenormal study data flow.ExecutorsClinical Research Coordinator(CRC)SystemsEDC systemDescriptionProtocol deviations run on their own track during the on-study phase, concurrent withmonitoring.DescriptionA serious adverse event (SAE) kicks off a separate expedited safety track rather than the routine data flow. This can fire at any point during treatmentand takes priority over everything.DescriptionOnce the patient is in thetrial, the rhythm is studyvisits per the schedule ofassessments. The patientcomes in at the definedintervals.DescriptionMonitoring happensduring the on-study phase.The client described this asthe heart of the CRA role.The CRA visits the site ormonitors remotely andperforms source dataverification (SDV).Check what the siteentered into the EDCagainst the actualsource documentsReview whetherconsents are all in orderReview drugaccountabilityReview deviationsExample the client gave:If the EDC says thepatient's blood pressurewas 130/80, verify thechart says that tooHistorically, this involved alot of travel, which theclient described as a realgrind of the job.When the data does notmatch, any discrepancy israised as a query. After thesite resolves the query, theCRA reverifies. Thatre-review can lead toanother query.Protocol deviations alsoget logged and reported ontheir own concurrent trackrunning alongsidemonitoring.The client furtheremphasized that queriescannot be treated assomething to clean up onlyat the end. Every queryallowed to pile up insteadof being resolved in themoment makes theeventualdatabase-cleaning andlock process harder.The client added that theteams that lock clean andon time are the ones thatwere boringly rigorousabout source and queriesfrom the very first patient.ExecutorsClinical Research Associate(CRA)ProblemsQuery backlogs are agenuine plague.SystemsEDC systemiFlagItDescriptionIf monitoring finds adiscrepancy, it gets raisedas a query. A query mayalso lead to anotherfollow-up query.ProblemsOn a big study, there canbe hundreds of openqueries. Query backlogsare a genuine plague, andthey all have to closeeventually.SystemsiFlagItDescriptionThen the investigationalproduct gets dispensed.DescriptionThe site has to resolve thequery by correcting theentry and/or explaining it.DescriptionThe site has to log drugaccountabilitymeticulously:What was dispensedWhat came backWhat got destroyedThis is reconciled at everymonitoring visit.Regulators careenormously about it.DescriptionAfter consent, screeninghappens.Run the protocolscreening testsCheck the resultsagainst inclusion andexclusion criteriaThe client described this asa big loop because manypatients screen fail.Examples mentioned:Lab value out of rangeOn a prohibitedmedicationIf a patient screen fails,they are out and the teamgoes back to recruitingmore patients.ProblemsA lot of people screen fail.DescriptionThis is the outcome check afterscreening. A screen fail means thepatient is out.DescriptionWhen they have acandidate, informedconsent happens beforeanything else. The PI orcoordinator sits the patientdown, walks them throughthe consent, and gets thesignature.Nothing happens beforeconsent:No screening testNo blood drawNo other studyproceduresThe client emphasized thatthis is sacred.ExecutorsPrincipal Investigator (PI)Clinical Research Coordinator(CRC)DescriptionThe CRC advertises to findpotential patients.ExecutorsClinical Research Coordinator(CRC)DescriptionThe CRC reviews charts toidentify possible patients.ExecutorsClinical Research Coordinator(CRC)DescriptionPotential patients areprescreened against thebig obvious eligibilitycriteria.ExecutorsClinical Research Coordinator(CRC)DescriptionAfter enrollment, the team checkswhether the study has reached itsenrollment target. If not, they loopback into recruitment, includingmore sites and more screening.DescriptionIf the patient passesscreening, they getenrolled and randomizedto a treatment arm.SystemsIRT systemDescriptionFeasibility questionnairesare sent to candidate sitesto assess whether they canrun the study and enrollpatients. Thequestionnaires ask thingslike:What's your PI'sexperience?Do you have theequipment?Are you already running3 competing trials in thesame indication?How many patientsfitting these criteria doyou see?DescriptionThe information gatheredfrom sites is scored, and ashortlist of sites is built.The client noted that thisscoring is partly an art, notjust a purely mechanicalassessment.ProblemsSites are often wildlyoptimistic about howmany patients they'llenroll. The clientsummarized this as:'Everybody says 50.Everybody enrolls 8.'DescriptionThis is a real fork after the siteselection visit. Some sites do notpass selection.DescriptionFrom the shortlist, theteam conducts a siteselection visit to decidewho is in.The visit may be on site,or partly remote thesedays.The purpose is toconfirm the place is real.They verify the site hasthe right staff, the rightfacilities, and an actualpatient populationwalking through thedoor.DescriptionFind candidate sites for thetrial as the starting point offeasibility.DescriptionSites that do not passselection are dropped.DescriptionIf too many sites have beendropped and the team is short ofits target number, they go back toidentify more sites. The clientnoted: you can't run a trial with toofew sites.DescriptionCheckpoint to confirm thedatabase is genuinely clean beforelock.Only when data management issatisfied that there is nothingoutstanding does the processmove forward to database lock.ExecutorsData ManagementDescriptionBring in and reconcileexternal data such ascentral labs.SystemsCentral labsDescriptionAll SAEs are reconciledagainst the databaseduring cleaning.DescriptionDrug is reconciled as partof database cleaning.DescriptionEvery open query has to beresolved as part ofdatabase cleaning. Anyopen query sends the teamback through the cleaningloop.DescriptionWhen a protocol deviationis identified, it gets loggedon the protocol deviationtrack.DescriptionProtocol deviations arereported on their owntrack after being logged.DescriptionWhen required, the SAE isreported to regulatorswithin the applicablereporting timeline.DescriptionThe site reports the SAE tothe sponsor's safety groupwithin 24 hours.ExecutorsSiteDescriptionDepending on what the event is, itmay need to go to regulators on aclock.
DM
SME: "…unless it's flagged, then it goes through the exception path first."

Resources

See it in action

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Scenarios

Where Sapeum fits in healthcare and life sciences

Intake and referrals

Clinical and back-office intake captured as it really runs, workarounds included.

Inspection readiness

Versioned, attributed process documentation you can show an inspector.

Handoffs

Where work passes between teams, and where it waits.

Pattern

Before and After Sapeum

Before

  • ✗ Critical process knowledge is spread across interviews, SOPs, spreadsheets, and tribal knowledge
  • ✗ Teams struggle to see delays and redundant steps across handoffs
  • ✗ Documentation and actual practice drift apart over time

After

  • ✓ Current-state workflows are easier to capture from real operations
  • ✓ Handoffs, ownership gaps, and unnecessary steps become more visible
  • ✓ Teams can maintain versioned process documentation as workflows evolve

FAQ

Frequently asked

What healthcare workflows can Sapeum help document?

Sapeum is useful for patient intake, referrals, follow-up workflows, care coordination, SOP and quality documentation, complaint handling, and operational handoffs across clinical and administrative teams.

How is Sapeum different from static process documentation?

Sapeum helps teams capture how work actually happens from real conversations and workshops, then maintain editable workflows instead of relying only on one-time diagrams or static documents.

Can Sapeum support process redesign before AI or automation?

Yes. One of the strongest use cases is understanding and simplifying the current state first so organizations do not automate unnecessary or poorly designed steps.

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