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Sakigake Prime - AI-native EMR for acute care

Transforming acute care
AI-native EMR.

Data entry, clinical research, hospital management, and development.
Four revolutions bring overwhelming efficiency and value to the acute-care front line.

/ 02Overview

Four revolutions. One platform.

More than a system refresh, it redefines the very operational structure of acute care.

01Revolution in data entry

Voice input, automated documentation, and clinical decision support dramatically cut entry time

Structured voice charting
Versatile data integration
Automated medical document generation
Clinical Decision Support (CDSS)
02Revolution in data analysis & clinical research

Standardization, element extraction, and automated registry submission reduce the burden of research participation

Full standardization of labs and vitals
Use of disease-specific standardized data
Element extraction from unstructured text
Automated registry and clinical-trial submission
03Revolution in hospital management

Reimbursement support, management-indicator visualization, and a contribution to talent acquisition

Connection with regional and emergency data
Support for optimal reimbursement coding
Visualization of management indicators
Contributes to attracting top talent
04Revolution in development

AI-agent-led development on a cloud EMR platform

AI agents lead development
Self-service customization of documents and ledgers
Cloud EMR with world-class security
Continuous updates
/ 03Product Screens

Real screens, running on the front line.

The design follows the rhythm of clinical work. Take a look at four key screens.

/charts/PT-00428291 — 山田 太郎
サマリー
経過記録
検査
処方
画像
文書
山田 太郎
62M · ID 00428291
主病名
急性心筋梗塞
入院
2026/04/12
担当
循環器内科 / 佐藤Dr
アレルギー
PCN系
DPC
050030xx97x00x
SOAP — 04/19 AM 回診
S
胸部違和感軽減。呼吸苦なし。夜間覚醒なし。
O
BP 118/72 · HR 72 · SpO₂ 98% · Temp 36.6
A
#1 AMI (Killip I) 心機能改善傾向 / #2 糖尿病 HbA1c 7.2%
P
心臓リハビリ継続・βブロッカー漸増・退院前負荷心電図予定
CDSS · 臨床意思決定支援
退院前にLDL再検を推奨 (前回 142mg/dL)。βブロッカー増量基準を満たしています。
バイタル 24h
HR
72
BP
118/72
SpO₂
98%
Temp
36.6
/ 04AI in Action

AI works quietly in the background of clinical care.

We show three key AI behaviors, together with their real-world behavior and accuracy metrics.

A
Voice input

A healthcare-specialized model recognizes disease names, drug names, and figures with high accuracy, and speaker separation automatically distinguishes physician from patient.

B
OCR / data integration

Converts referral letters, medication notebooks, and test results into structured JSON, with confidence scores that streamline the physician's final review.

C
Document generation

Generates drafts linked to the supporting evidence in the chart, covering discharge summaries, referral letters, and medical certificates.

01

Revolution in data entry

Structured voice charting

AI speech recognition and automatic structuring of charts dramatically reduce entry time.

Versatile data integration

OCR and API integration automatically import data from diverse sources such as referral letters and test results.

Automated medical document generation

AI automatically generates high-quality medical documents such as discharge summaries, medical certificates, and referral letters.

Clinical decision support

Provides real-time AI-driven clinical decision support (CDSS).

02

Revolution in data analysis & clinical research

Full standardization of labs and vitals

Full standardization enables cross-facility comparison and large-scale data analysis.

Use of disease-specific standardized data

Standardized data is defined per disease area and applied instantly to CDSS and clinical research.

Element extraction from unstructured text

AI automatically extracts clinical elements from free text and uses them as structured data.

Automated registry & trial data submission

AI automates registry and clinical-trial data submission, reducing the burden of research participation.

03

Revolution in hospital management

Connection with regional and emergency data

Connects with regional and emergency-services data to map patient inflow and regional healthcare dynamics.

Support for optimal reimbursement coding

Based on standardized clinical data, AI supports optimal DPC and medical-fee coding.

Visualization of management indicators

Visualizes management indicators on a dashboard and automates claims checking with AI.

Contributes to attracting top talent

An ideal charting environment and research infrastructure help attract outstanding medical talent.

04

Revolution in development

AI agents lead development

AI leads the development process, dramatically improving development speed and quality.

Self-service customization of documents and ledgers

On-site staff can customize documents and ledgers themselves.

Cloud EMR with world-class security

A cloud-based EMR platform built with world-class security.

/ 05Feature Matrix

The full feature set, all on one platform.

We compare the features of our AI-native EMR against legacy and general-purpose cloud systems.

FeatureSakigake PrimeLegacy EMRGeneral-purpose cloud EMR
Data entry
Structured voice charting
OCR / external API integration
Automated documents (discharge / referral / certificate)
Clinical decision support (CDSS)
Analysis & research
Lab & vital standardization
Disease-specific standardized data
Unstructured-text element extraction
Registry / trial auto-submission
Management & operations
DPC & medical-fee coding support
Management-indicator dashboard
Platform
Cloud-native
Multi-device (PC / tablet / smartphone)
Compliant with the 3-Ministry / 2-Guideline standards
Continuous updates (monthly)
StandardOptionalPartialNot supported
/ 07Security & Compliance

World-class security, built into the EMR.

When you handle AI and medical data, security is not an option but a prerequisite.

SEC-01
Data encryption

TLS 1.3 in transit / AES-256 at rest. Medical data is stored exclusively in domestic data centers.

SEC-02
Access control

Role-based access control (RBAC) plus multi-factor authentication, biometrics, and IP restrictions as standard.

SEC-03
Audit logs

All chart access and edits are recorded in tamper-proof logs, retained for 7 years with real-time anomaly detection.

SEC-04
Availability

Multi-region redundancy. RPO 5 min / RTO 30 min. SLA 99.95%.

SEC-05
AI governance

Auditing of prompts and outputs, differential verification of model updates, and masking of PHI before it reaches the AI.

SEC-06
Business continuity

BCP/DR drills are conducted twice a year, with an offline mode enabling continued care during disasters.

Compliance & certifications
ISO/IEC 27001ISO/IEC 27017ISO/IEC 27018ISMAP3-Ministry / 2-Guideline compliantMedical Information Security Management Guidelines
AI data governance
PHI is masked before reaching the model
No secondary use as training data
Processing limited to domestic regions
Full auditing of prompts and outputs
/ 08Pricing

Pricing plans

We propose the optimal plan based on your deployment scale and requirements.

INITIAL COST

Initial implementation cost

¥1,0000,000 and up

* Varies depending on departmental system integration and various initial setup requirements.

MONTHLY FEE

Monthly maintenance fee

¥300,000 and up / month

* Varies depending on the support arrangement. We will prepare a quote for you.

Why not transform
acute care with an AI-native EMR?

Feel free to contact us for a demo request or to discuss implementation.