EHR & Medical DX Column
Practical insight on AI-native EHRs, hospital DX, and clinical efficiency for hospitals evaluating their next system.
A History of Hospital Information Systems, Part 3｜Toward Medical DX and AI-Native Systems (2018–)
The final part of the series: the Next-Generation Medical Infrastructure Act, online eligibility verification and e-prescriptions, the Medical DX headquarters and roadmap, HL7 FHIR standardization of EHR data, the EHR information sharing service, ransomware and mandatory cybersecurity, and the arrival of cloud, generative AI, and AI agents since 2018.
A History of Hospital Information Systems, Part 2｜The Birth and Spread of the EHR (1999–2010s)
Part 2 of the series: the 1999 electronic storage notice (authenticity, legibility, preservation) that opened "year one of the EHR," the Grand Design adoption targets, DPC and electronic claims, security guidelines, standards such as SS-MIX, and regional networks — how EHRs took root in hospitals through the 2010s.
A History of Hospital Information Systems, Part 1｜From Billing to Order Entry (1960s–1990s)
Part 1 of a three-part history of Japanese hospital information systems: billing systems born from universal insurance and claims work, computerization of departmental systems such as laboratories, and the spread of order entry systems and "point-of-origin entry" from university hospitals in the 1980s–90s.
What Is the Inpatient Basic Fee｜Components, Facility Standards, and Add-Ons Explained
A systematic explanation of Japan's inpatient basic fee: what it bundles, facility standards such as nurse staffing, nurse ratio, average length of stay, and nursing need, add-ons, billing cautions, and implications for hospital management and the EHR — for newcomers and practitioners alike.
Types of Hospitals and Wards in Japan｜How the Medical Fee System Classifies Them
An overview of Japanese hospital types (specified-function, regional support, etc.) and ward types (acute general, integrated community care, recovery rehab, long-term care) across the Medical Care Act and the medical fee system, including the four bed functions, the inpatient fee structure, and implications for EHR selection.
Non-Functional Requirements of the Standard EHR Spec, and How to Adopt (Part 3)
A detailed guide to the non-functional requirements in the standard EHR spec for small and mid hospitals: availability, performance, operations, migration, and security disclosure items, plus how to use the spec when adopting a system.
Functional Requirements of the Standard EHR Spec: Reading the Presented-Function List (Part 2)
A detailed guide to the presented-function list in the standard EHR spec for small and mid hospitals: the implementation marks, coverage from outpatient to home care, migration and APIs, and how to use it in selection.
What Is the Standard EHR Specification for Small & Mid Hospitals? Background and Overview (Part 1)
A detailed overview of the Standard Specification (Basic Requirements) for EHRs and receipt computers for small and mid hospitals from MHLW and the Digital Agency, its purpose, structure, and what it means in practice.
DX for Recovery-Rehab Hospitals: Staffing Shortages, Transfer Coordination and Subsidies
How recovery-rehab hospitals facing therapist and nursing shortages can create time with DX, leverage transfer coordination from acute care and EHR information-sharing services, think about subsidies, and roll out DX step by step.
How an AI-Native EHR Changes Psychiatric Hospital Operations and DX
How does an AI-native EHR support records, documents, pharmacotherapy, and legal procedures in psychiatric hospitals? We cover generative-AI use, phased DX, staffing shortages, security and AI governance, and an adoption roadmap.
Benefits of a Cloud EHR With Built-in Billing｜Streamlining Claims for Small & Mid Hospitals
How a cloud EHR with built-in billing streamlines claims for small and mid-sized hospitals — differences from separated systems, coding checks and reduced claim rejections, ORCA integration, adoption caveats, and a practical checklist.
Sharing Daily-Living Assessment, FIM/ADL Across Teams and Managing Rehab Units in the EHR
How to ease the record burden of daily-living function assessment, FIM and ADL in recovery-rehab wards with the EHR, share them instantly across PT/OT/ST/nursing/nutrition/MSW, and manage rehab units and scheduling.
Acute-Care Hospital DX: EHR-Centered Reform and Admission/Discharge Support
A practical guide to acute-care DX centered on the EHR — the order of reform, streamlining admission/discharge support and regional coordination, work-style reform, phased rollout, measuring effects, common failures, and a checklist.
Streamlining Psychiatric Nursing, OT, and Home-Visit Records with AI and Voice Input
Psychiatry carries a heavy free-text burden across nursing, OT, and home-visit records. We explain concrete steps to streamline documentation with voice input and AI structuring, requirements like GAF, multi-professional sharing, PHI protection, and adoption tips.
The Physician-Clerical-Support Staffing Fee and ICT: Preparing for 2026 Revision Trends
The physician-clerical-support staffing fee, which eases physician workload, centers on the placement and scope of clerical-support staff. This guide covers 2026-revision trends around ICT use, workload reduction via voice input and generative AI, staffing and records, and cautions—premised on checking primary sources.
Shortening Therapists' Rehab Records with Voice Input Plus AI
Amid staffing shortages in recovery rehab, organizing how to shorten therapists' recording time with voice input and AI structuring. Covers the basics, rehab-specific record items, adoption steps and on-the-ground operation, effect measurement, multidisciplinary sharing, cautions, common misconceptions, and checklists usable in practice.
Acute-Care Hospital BCP and Cloud EHR: Continuing Care After Disasters and Using Research Data
A practical look at acute-care BCP and the cloud EHR — availability, redundancy, and disaster recovery; offline operation after a disaster; data redundancy; and secondary use of research data through standardization, with checklists.
Clozapine (CPMS) Management and Psychiatric Pharmacotherapy Support: CP-Equivalents and Polypharmacy Checks
From clozapine (CPMS) blood-test scheduling to auto-calculating antipsychotic CP- and diazepam-equivalents, polypharmacy and high-dose warnings, lithium TDM support, and safety checks for brought-in medications. We explain supporting psychiatric pharmacotherapy in the EHR, with cautions to verify primary sources.
Hospital Management Dashboards & Data Use｜DPC Analysis and Secondary Use
A practical guide to visualizing hospital management — dashboard design, DPC analysis, management KPIs, secondary data use and the Next-Generation Medical Infrastructure Act, data-driven management, caveats, and a checklist. Verify figures with your own data and confirm rules via the latest primary sources.
Visualizing Care-Mix Hospital Management with EHR Data: Occupancy and Home-Return Rates
Care-mix hospitals combining acute, recovery, and chronic wards are complex to manage because each bed function is evaluated differently. This guide explains how to visualize occupancy, home-return, and function-specific metrics from EHR data and turn them into dashboards and data-driven management, with metric design, analysis steps, and pitfalls.
Streamlining and Standardizing Rehab Plans, Reports, and Summaries with Generative AI
Organizing how to streamline and standardize rehab documentation — comprehensive plans, progress reports, discharge summaries — with generative-AI drafts and AI agents. Covers resolving format variance, clinician review and accountability, leak prevention and internal rules, adoption steps, and checklists usable on the ground.
My Number Insurance Card, Online Eligibility Verification & E-Prescriptions｜What Hospitals Should Do
A practical guide to hospital readiness for My Number insurance cards, online eligibility verification, and e-prescriptions — how reception changes, benefits, adoption steps, challenges, EHR integration, caveats, and a checklist. Always confirm the latest rules via primary sources.
Physician Documents in Acute Care with Generative AI and Voice Input: Streamlining Referrals and Summaries
How voice input and generative AI can ease acute-care physicians' documentation load — drafting referrals and discharge summaries, a review-and-accountability workflow, cautions on data leakage and internal rules, and measuring impact.
Streamlining GAF, Severe-Case Add-ons, Data-Submission Add-ons, and the 630 Survey with the EHR
From GAF assessment and recording to psychiatric long-term-care ward severe-case add-ons, data-submission add-on prep, and the 630 survey. We cover auto-generating forms and keeping values consistent across three reports to prevent missed claims and double entry, with cautions to verify primary sources.
What Are HL7 FHIR and SS-MIX2｜EHR Standardization and Interoperability
A clear overview of HL7 FHIR and SS-MIX2, which underpin EHR standardization — why they matter, each one's traits, differences and when to use them, links to the information-sharing service, and interoperability and avoiding vendor lock-in. Includes what hospitals should prepare and a checklist.
Regional Care Coordination for Small & Mid Hospitals: Strengthening Multidisciplinary, Home Care, and Medical-Nursing Collaboration with the EHR
For small and mid-sized and care-mix hospitals, survival in the region hinges on connecting hospital-clinic, hospital-hospital, multidisciplinary, home care, and medical-nursing collaboration through the EHR. A practical guide covering referrals, record integration, the national EHR information-sharing service, platform design, consent, and pitfalls.
Handling the Rehab-Nutrition-Oral Add-On and Data Submission in the EHR
Organizing the rehab-nutrition-oral coordination add-on and data submission that recovery-rehab wards face, from the angle of unified EHR operation. Covers GLIM-style nutrition assessment, multidisciplinary record coordination, the practicalities of building submission data, checklists, and cautions for keeping claim evidence routinely.
A Roundup of EHR and Medical DX Subsidies｜Eligible Programs and Application Basics
A roundup of subsidies usable for EHRs and medical DX — how to think about them, outlines of major programs, eligible costs, application basics, and how to check windows and schedules. Covers the positioning of the system-coordination promotion project, the regional healthcare fund, and IT introduction subsidies, without asserting rates or deadlines.
Departmental System Integration in Acute Care: Surgery, Anesthesia, ICU, ER, and Clinical Pathways
A practical guide to connecting an acute-care EHR with surgery, anesthesia, ICU, ER, and clinical pathways — why integration gets hard, the role of standards and cloud platforms, and what scope and checklists to confirm.
Accurate Patient-Deposit Management in Psychiatry with the EHR: In/Out, Balances, Audits
Patient-deposit management burdens long-stay psychiatry. This guide covers centralizing in/out and balances in the EHR, per-patient ledgers, reconciliation, audits and fraud prevention, family handling, discharge settlement, workflows, and checklists.
What Is the Electronic Clinical Information Coordination Add-on｜Sorting Out the 2026 Reorganization
A practical overview of the electronic clinical information coordination add-on and how it was reorganized in the 2026 fee revision — consolidation of prior add-ons, timing, requirement outlines, and links to e-prescriptions, the information-sharing service, and My Number card usage rates, all on the premise of checking primary sources.
A DX Roadmap for Small Hospitals: Handling IT Shortage and Going Paperless
A roadmap for small hospitals short on IT staff to advance DX starting from the EHR — using cloud and vendor support to cover the shortage, steps to go paperless, staged rollout, effect measurement, and how to avoid common failures.
Preparing for Recovery-Rehab Enhanced-Structure and Early/Initial Add-ons with the EHR
How to prepare for recovery-rehab enhanced-structure and early/initial add-ons with the EHR, covering the thinking, auto-judgment and alerts to prevent lost billing, records and forms, and structure, with primary-source verification assumed.
Standard EHR and the Medical DX Reiwa Vision 2030｜Adoption Goals and Cloud Migration
The provider, alpha version, and target facilities of the standard EHR; the adoption goals of the Medical DX Reiwa Vision 2030; its relation to the EHR Information Sharing Service and the 3 documents and 6 items; FHIR standards; and the role and impact of cloud migration — with the premise of confirming goals and legislation against primary sources.
Acute-Care Admission Fees and Nursing Acuity: Accurate Measurement in the EHR
How the EHR supports accurate measurement and recording of nursing acuity tied to acute-care admission fees — basics, causes of variance, linking assessment and records, missing-entry checks, audit response, the DPC relationship, cautions, and a checklist for nursing directors, head nurses, IT, and medical-information staff.
Recording Seclusion and Physical Restraint to Meet Legal Requirements
A practical guide to recording behavioral restrictions — seclusion and physical restraint — from initiation to release per legal requirements, covering designated-physician exams, observation records, deadline alerts, minimization committees, audit readiness, and checklists.
Preparing for the EHR Information Sharing Service｜Steps for the 3 Documents and 6 Information Items
How to prepare for the EHR Information Sharing Service — the National Healthcare Information Platform, the concept of the 3 documents and 6 information items, standards such as FHIR, preparation steps, and the relation to reimbursement — with the premise of confirming names and requirements against official notices and primary sources.
How Small Hospitals Choose an EHR: Comparison Points, Cost, Requirements, and Replacement
Seven comparison points for small hospitals under 200 beds, cloud vs on-premise, cost thinking by scale, requirements definition and internal consensus, and how to run replacement and data migration — with a failure-avoiding checklist and adoption steps.
Auto-Aggregating and Visualizing the FIM Outcome Index in the EHR for Ward Management
How to auto-aggregate the monthly FIM outcome index from EHR data and visualize it, cutting manual burden and errors and connecting BI-based ward management to concrete improvement actions.
AI Interviews and Online Care｜Adoption Effects, Regulation, and Integration Points
How AI-driven medical interviews and online care benefit hospitals — the mechanics of efficiency gains, EHR integration, patient experience, common misunderstandings, and an adoption checklist, written for directors, physicians, and IT staff, with the premise that rules must be confirmed against primary sources.
Visualizing Acute-Care Management with DPC Data: Benchmarks and Improvement
How acute-care hospitals turn DPC data into management visibility — basics, metrics to track, benchmarking, analysis by department and disease, dashboard design, improvement measures, cautions, and a checklist for administrators, planning, and medical-information staff.
Managing Admission Types and Procedures Under the Mental Health Act in the EHR
We organize the procedures, documents, deadlines, and consent management that differ by admission type — compulsory, emergency, involuntary, emergency-placement, and voluntary — plus committee operation and EHR-based reminders, tasks, and omission prevention.
Creating Medical Documents With Generative AI｜Streamlining Referrals and Summaries, Used Safely
A practical guide to which medical documents generative AI can create (referrals, discharge/nursing summaries), how drafts are built from charts, trends in published cases, the review-and-accountability process, leakage/PHI/internal-rule caveats, and a safe-adoption checklist. Figures require checking each vendor's primary sources.
EHR for Care-Mix Hospitals: Running Acute, Long-Term, and Community-Based Care on One System
How care-mix hospitals with acute, long-term, and community-based-care wards run multiple wards on one EHR despite differing records, metrics, and billing — covering home-discharge-rate and medical-condition records, bed-function conversion, and a selection checklist for small-hospital leaders.
Choosing an EHR for a Recovery-Rehab Hospital: Department Integration, New Openings, and Real-World Operations
A practical guide to selecting an EHR built for recovery-rehab wards, covering must-have functions, seamless integration with rehab department systems, new-opening checks, cost, migration, and requirements definition.
How to Shorten Chart-Entry Time｜Voice Input, AI Clerks, and Automated Documents
We break down why chart entry takes time, then cover voice input with AI structuring, choosing an AI clerk, automated document creation with generative AI, no-double-entry design, estimating impact, and adoption — plus a checklist, caveats, and Q&A.
Comparing Acute-Care EHRs: Cloud Migration and Selection Essentials
A one-stop guide to comparing acute-care EHRs: selection angles, cloud availability and BCP, migration from on-premise, departmental integration, comparison axes, total cost, avoiding failure, and a checklist for directors, administrators, IT, physicians, nursing, and medical-information staff.
The Complete Guide to Choosing an EHR for Psychiatric Hospitals
A one-stop guide to choosing an EHR for psychiatric hospitals: must-have features, cloud vs. on-premise, total cost, data migration, subsidies, internal consensus, and a comparison checklist for directors, administrators, IT, nursing, and PSWs.
Driving Physician Work-Style Reform With the EHR｜Task Shifting and Cutting Administrative Load
A practical guide to advancing physician work-style reform through the EHR: rethinking document and record work that creates overtime, how to run task shifting and sharing, using medical clerks, easing load with voice input and generative AI, success factors, caveats, and a pre-adoption checklist.
Hospital Ransomware Defense and BCP｜Concrete Measures to Prevent Damage and Disaster Readiness
A practical guide to why hospitals are targeted and how attacks work, plus concrete measures — layered defense, backups, and drills — you can start now. Covers BCP so the EHR keeps running, data preservation and recovery during outages or disasters, cloud benefits, a checklist, and misconceptions for administrators and IT staff.
What the 'Three-Ministry, Two-Guideline' Framework Is｜Security and Checklist for Healthcare
An overview of Japan's 'three-ministry, two-guideline' framework and the compliance points healthcare organizations should grasp. Covers the standing of the latest editions, a cybersecurity self-check list, cloud considerations, governance, and caveats for administrators and IT staff.
Complete Guide to EHR Data Migration and Upgrade Costs｜Steps, Pricing, and Avoiding Failure
A practical breakdown of EHR upgrade and replacement costs, plus the scope, effort, and process of data migration. Covers on-premise vs cloud TCO, ways to control cost, a checklist to avoid migration failure, misconceptions, and an FAQ for administrators and IT staff.
Cloud vs On-Premise EHR From a Hospital's View｜Hybrid and Renewal Timing
A hospital-view comparison of cloud, on-premise, and hybrid EHRs — cost structure (TCO), availability and BCP, security, how to judge replacement timing, decision axes for choosing a model, and caveats for renewal decisions.
How to Choose a Hospital EHR｜Comparison, Market Share, and 7 Points to Avoid Failure
How to choose a hospital EHR around seven failure-avoiding points — reading market share and major vendors, comparison axes across features, non-functional aspects, cost, integration, support, and security, plus requirements, demos, and a checklist.
What Is an AI-Native EHR｜How It Differs From AI Add-ons, and What It Takes in a Hospital
What an AI-native EHR is — contrasted with legacy, cloud, and AI-add-on systems, and why the conditions differ between clinics, where products came first, and hospitals with multi-professional records, departmental integration, and bed management. Covers voice input, generative AI, adoption effects, security and AI governance, and common misconceptions.