Case study
Postnatal Care Clinical Tool
Designing a mobile-first assessment platform to support safe, structured postnatal healing monitoring.
- Healthcare
- Postnatal care
- Clinical research
- Proof of Concept
- Discovery
- UX design
- Workflow architecture
- Mobile-first web application prototype
- Client
- Academic Clinical Research Team
- Industry
- Healthcare, postnatal care, clinical research
- LLI role
- Proof of Concept design and validation
- Scope
- Discovery, UX design, workflow architecture, mobile-first web application prototype
Overview
We partnered with an academic clinical research team to design and validate a digital tool supporting structured assessment of postnatal healing. The goal was to reduce physician workload by enabling early identification of complications and improving triage through standardised input from midwives, nurses, and other care professionals.
By combining deep clinical discovery with practical UX design, we delivered a mobile-friendly web-based PoC that transformed a complex, variable field process into a structured, transparent, and testable digital workflow.
The problem
The clinical team had a clear research objective: Improve the assessment of postnatal healing during home visits and streamline escalation to physicians when needed.
However:
- Assessments were often documented in non-standardised ways
- Physicians received inconsistent or incomplete information
- Triage decisions required additional clarification
- Scheduling and follow-ups were fragmented
- Real-world complexity made digital structuring challenging
In postnatal care, ambiguity is common. Symptoms may be subtle. Data may be incomplete. Visits may be rescheduled.
Without structured input and clear escalation logic, physicians carry unnecessary cognitive load, and healthcare systems lose efficiency.
The team needed a practical, testable solution before committing to full-scale product development.
Our approach
We began with deep discovery.
Deep domain understanding
Interviews with midwives, nurses, and physicians
Field research into home-visit workflows
Analysis of documentation practices
Review of available clinical data and research assumptions
We focused not only on “what should happen,” but on what actually happens in daily practice.
This allowed us to map real user journeys across roles and identify hidden friction points between care professionals and reviewing doctors.
UX and functional design rooted in reality
We designed a mobile-first web interface tailored to the clinical and home-visit context.
The PoC allows care teams to:
- Record wound condition in a structured and consistent format
- Capture observations using guided inputs
- Flag cases requiring physician review
- Manage follow-up visits with an integrated calendar
- Access relevant case documentation at a glance
The interface was intentionally simple. In a medical setting, clarity reduces risk.
Scenarios based on real challenges
We designed not only for ideal flows, but also for real-world complexity:
- Ambiguous or borderline symptoms
- Partial or missing data
- Escalation uncertainty
- Unexpected visit rescheduling
- Evolving healing trajectories
These edge cases shaped both the UX and the technical logic of the prototype.
By modeling uncertainty instead of ignoring it, we ensured the PoC reflected clinical reality.
Clinical alignment and transparency
The prototype became a shared visual and functional language between:
- Clinical researchers
- Healthcare professionals
- Product stakeholders
- Developers
Instead of abstract discussions, the team could test, simulate, and validate workflows directly within the PoC.
This created alignment around feasibility, safety, and next steps.
The solution
We delivered a mobile-friendly web-based Proof of Concept that:
- Standardised healing assessments
- Structured documentation across care roles
- Enabled early identification of risk signals
- Reduced unnecessary physician involvement
- Supported transparent escalation logic
- Integrated follow-up scheduling into the same workflow
The result was not just a UI mockup, but a testable, interactive prototype grounded in clinical logic.
Technology stack
- Web-based mobile-first architecture
- Frontend-focused PoC framework
- Scalable architecture design prepared for future clinical validation
Results
For healthcare professionals
- Clearer and more consistent assessment workflow
- Reduced documentation ambiguity
- Faster triage decisions
- Improved communication between care roles
For the research team
- A concrete, testable product concept
- Early usability validation
- Structured feedback from clinical staff
- Reduced risk before scaling investment
The PoC enabled evidence-based product decision-making.
Why this matters
In healthcare, digital tools must reflect real clinical complexity.
This case demonstrates LLI’s ability to:
Translate research intent into practical digital workflows
Design for real-world medical environments
Reduce risk through structured Proof of Concept validation
Align multidisciplinary stakeholders around a shared vision
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