PMS Workflows
Coordinate surveillance plans, activities, data inputs, review cycles, signals, actions, and reporting status.
HEALTHCARE AI CAPABILITY
Create Continuous Evidence After Product Launch.
Connected surveillance, registries, real-world data capture, follow-up automation, outcomes tracking, and evidence operations.
Let's TalkIn plain terms
What is PMS, PMCF, and RWE platforms?
A PMS, PMCF, and real-world evidence platform coordinates post-market plans, participants, sites, longitudinal data, follow-up, quality review, signals, and reporting in one traceable operating environment.
Post-market evidence programs often span spreadsheets, survey tools, site communication, manual reminders, document repositories, and disconnected analysis. We build a shared platform that connects the evidence plan to collection, follow-up, review, and reporting across products, cohorts, regions, and time.
A continuous evidence operating model
Program logic connects every interval, participant, task, data point, review, and reporting decision over time.
- Program blueprint
Define the evidence plan
Model products, cohorts, objectives, outcomes, intervals, roles, and reporting needs.
- Capture system
Configure capture
Build participant, site, clinical, device, and external data journeys.
- Follow-up engine
Operate follow-up
Automate schedules, reminders, tasks, outreach, and escalation while preserving ownership.
- Review workspace
Review quality and signals
Surface missing data, exceptions, trends, and evidence requiring expert attention.
- Evidence record
Report with traceability
Connect datasets, decisions, outputs, and supporting provenance over time.
One platform across the evidence lifecycle
Configure the program once, then give each team the workflows and visibility needed to keep it moving.
PMCF Programs
Manage plans, cohorts, sites, consent, data capture, clinical follow-up, and evidence milestones.
Patient Registries
Collect longitudinal product use and outcomes through accessible participant and site journeys.
RWE Capture
Bring structured real-world data, outcomes, device information, and clinical context into governed datasets.
Follow-up Automation
Trigger reminders, tasks, outreach, escalation, missing-data action, and completion tracking from program rules.
Outcome Intelligence
Monitor cohort progress, completeness, safety inputs, outcomes, evidence quality, and program status.
Program workspaces
Clinical and evidence teams
A shared program model for cohorts, outcomes, sites, review, and reporting.
Post-market teams
Visibility across surveillance activities, inputs, issues, actions, and deadlines.
Sites and investigators
Clear participants, visits, forms, missing data, tasks, and communication.
Participants
Accessible consent, outcomes, reminders, follow-up, support, and multilingual experiences.
Evidence controls
Consent and participant status
Role-based program access
Longitudinal audit history
Data validation and queries
Source and transformation lineage
Review and escalation workflows
What we deliver
Evidence program model
Product, cohort, outcome, interval, role, data, quality, and reporting configuration.
Registry and capture product
Participant, site, reviewer, and program workspaces across web and mobile.
Follow-up operations
Schedules, communication, tasks, escalation, missing-data action, and completion status.
Evidence and reporting layer
Governed datasets, provenance, review decisions, dashboards, exports, and analysis interfaces.
Where it creates value
Device registries
Longitudinal product use, safety, performance, quality-of-life, and clinical outcome programs.
PMCF studies
Structured clinical follow-up with sites, participants, schedules, and evidence review.
Real-world outcomes
Connected capture, transformation, quality review, analysis readiness, and reporting.
PMS operations
Plan activities, inputs, review, signals, actions, documents, and lifecycle visibility.
Connected data environment
EDC and eCOA
EHR and FHIR
Device and sensor data
Safety systems
Laboratory data
Identity and consent
Communication services
Analytics and reporting
The operating change we design for
Success is measured in the quality of the workflow, decisions, evidence, and ownership created around the technology.
Continuous
Evidence
Maintain program visibility across long-running post-market activities.
Complete
Follow-up
Reduce missed tasks, fragmented outreach, and unknown participant status.
Traceable
Outcomes
Preserve provenance from capture and review through analysis and reporting.
Scalable
Programs
Reuse one operating foundation across products, cohorts, and regions.
Frequently Asked Questions.
Direct answers for product, domain, technology, and operations teams evaluating this capability.
BUILD WITH CONFIDENCE
Move PMS, PMCF & RWE Platforms Forward.
Bring us the workflow, product, data, or evidence challenge. We will help define the next practical step.