Amela
For confidentiality, company names, project names, and system images have been replaced with pseudonyms and mocks.
MedicalCare Net Co., Ltd. — Build Story

From paper surveys and individual know-how,
74 items Assess in 5 minutes

CareLogic is a long-term care insurance primary-assessment simulator for care providers. Enter the 74-item certification survey form through an 8-step wizard, and an assessment engine compliant with MHLW logic instantly computes from Support Level 1 to Care Level 5.

A new-platform launch story: three field challenges — "the training speed of new care managers," "veteran-dependent judgment know-how," and "the offline environment during training" — built in-house from scratch with Amela in 6 months.

Survey form
Paper-basedFully digital
Assessment time
30 min5 min
Assessment variation
Arises from experience gapsConsistent accuracy
Training environment
Wi-Fi requiredFully offline
CARELOGIC
LTC insurance primary assessment
STEP 5 / 8
Group 5 — Adaptation to social life
Taking medication
Not assisted
Money management
Independent Partial assistance Full assistance
Interim result preview
Care Level 2
82% confidence
PWA OFFLINE
01
CLIENT
About the client

MedicalCare Net, which provides SaaS in the long-term care sector.

A SaaS provider offering care-management support, record-keeping efficiency, and training tools to care providers nationwide. It translates the complexity of the long-term care insurance system into "digital tools usable in the field," working to improve the productivity of care staff from newcomers to veterans.

The business model is a monthly subscription + training licenses. Adoption spans special nursing homes, day services, home-visit care, and in-home care support offices, with 3–20 care professionals per facility using it in daily work.

30,000+
Supported care-facility sizes
47
Coverage area (all prefectures)
SaaS
Monthly subscription
BUSINESS FLOW
1
STEP 1
Start assessment
Enter the subject's basic information
2
STEP 2
74-item input
8-category step wizard
3
STEP 3
Assessment engine
Instant computation with MHLW logic
4
STEP 4
Result sharing & recording
Graphs, history, and training integration
02
CHALLENGE
Design challenges to solve

Care-staff development and assessment quality: four design challenges.

Not mere tool development, butTalent-development speed, assessment quality, and field usability — challenges directly tied to this had to be designed from scratch. Not just technology selection, but UX, data handling, and offline strategy: the very first design decisions determine the business value.

We want to speed up how fast new care managers master the assessment logic
Mastering the complex assessment logic of 74 items × 8 categories × the MHLW manual through classroom study alone is hard.Proficiency period drags ondoing so delays field assignment and accelerates staff shortages.
We want to eliminate transcription and scoring errors from paper survey forms
When tallying, transcribing, and scoring by hand,A few % errorsbecomes the norm. Misjudgments directly affect the certified care level — a serious risk impacting users' services and out-of-pocket costs.
We don't want veterans' judgment know-how to remain individual-dependent
Even when multiple care managers assess the same person, results vary by experience. Know-how concentrates in veterans, andlost from the organization when staff leave or transferis a serious risk to service quality.
We want to use it during training without relying on connectivity
In-facility Wi-Fi is often unstable, and in off-site training or disaster drills the network may be unavailable.Online-only tools can't be used in the field
03
ARCHITECTURE
The architecture we built together

Built in-house from scratch, solving four areas at once.

Built in-house from scratch across 4 areas: a single PWA-powered SPA + an assessment engine compliant with MHLW logic + an intuitive body-map UI + result visualization. Everything runs entirely on-device, with a design that never sends users' personal data to a server — launching a platform that supports both training and field operations.

Amela
EXECUTION
6
Duration (months)
24
Total effort (person-months)
Area ①
Input UX
Challenge
Simply entering 74 items one after another has a high cognitive load, and newcomers easily drop off
Solution
8 steps × body-map UI
Visualize progress per category; enter physical-function items intuitively by clicking
Area ②
Assessment engine
Challenge
The MHLW logic is complex, and manual calculation produces variation
Solution
Client-side assessment engine
A TypeScript module compliant with MHLW logic computes instantly
Area ③
Result visualization
Challenge
If results are only numbers, trainees find it hard to learn "why this judgment was reached"
Solution
Score breakdown + graph visualization
Present confidence, distribution by care level, and score contribution in graphs
Area ④
Operations & privacy
Challenge
A network-dependent design wouldn't work in the field, and sending personal data to a server is also a risk
Solution
PWA + on-device processing
Offline support via Service Worker; all data stays on-device
FRONTEND
Nuxt 2 / Vue 2 TypeScript Element UI Tailwind
VIZ & PWA
HHighcharts WWorkbox (PWA) Service Worker
RUNTIME
Node.js PM2 cluster
04
IMPACT
The value the platform creates

A platform that balances care-staff development and assessment quality.

Not a single tool, butFaster talent development, standardized assessment quality, and flexible field operations — a platform that solves these simultaneously. From four perspectives — newcomer, field, facility, and management — it delivers concrete business value to each.

Accelerated proficiency
A platform where new care managers learn the assessment logic step by step through repeated practice — drastically shortening the proficiency period that classroom learning alone had prolonged.
Standardized assessment quality
Experience-based variation disappears — the same accuracy no matter who assesses, where, or when. Individual dependence is turned into organizational knowledge.
Field operation flexibility
With offline operation independent of network conditions, it becomes a "truly field-ready" tool usable during training, on business trips, and in disaster drills.
Training cost reduction from a management perspective
By reducing the frequency of group training, shortening OJT periods, and lowering veteran dependence, education costs are structurally reduced.
🧑‍🎓
STAKEHOLDER
New care manager
Development speed
Generally
Half a year to a year with classroom study + paper mock surveys
With CareLogic,
Gain proficiency step by step through 6 repeated scenarios; self-assess via a progress dashboard
Business impact
Cut the development period to 1/6
Shorter time to assignment, directly easing staff shortages
👩‍⚕️
STAKEHOLDER
Field care manager
Assessment quality
Generally
Assessments vary by experience, leaving us unsure
With CareLogic,
Get an instant preliminary estimate from the assessment engine, with confidence % showing the rationale
Business impact
Assessment variation drops to zero
Secures trust with users and families; standardizes service quality across the organization
🏢
STAKEHOLDER
Facility director / operations
Operating cost
Generally
Frequent paper surveys and group training mean a heavy cost burden
With CareLogic,
A self-learning platform reduces group-training frequency and shortens OJT time
Business impact
Structurally reduce training costs
Compress fixed operating costs and focus staff on core work
📊
STAKEHOLDER
SaaS management
Business growth
Generally
SaaS in the care sector is hard to differentiate on features and easily falls into price competition
With CareLogic,
Established a differentiation axis from competitors as a "truly field-ready" training tool
Business impact
Gain a product differentiation axis
Avoid price competition with competitors and improve subscription retention
05
DEMO
3 scenarios

Experience CareLogic with a working live demo.