15 articles
How the EHR supports accurate measurement and recording of nursing acuity tied to acute-care admission fees — reducing rater variance, linking to daily records, and supporting review.
An overview of the Electronic Clinical-Information Coordination Add-On, which reorganized the former Medical DX add-on in the FY2026 revision — points, core requirements, and its relationship to the EHR.
EHR use in long-term care wards — linking medical-condition/ADL assessment with billing, preventing record omissions, tracking category-change history, and labor savings via voice input. Verify category rules at primary sources.
How the medical clerk add-on relates to ICT — the add-on's role, efficiency from voice input and generative-AI drafting, and balancing structure with tools. Requirements, points, and deadlines must be checked at primary sources.
How to visualize the recovery-rehab outcome index and turn it into ward-management improvement — using BI to analyze trends and drivers and translating them into a sustainable improvement cycle.
How to determine early and initial rehab add-ons without missed claims in the EHR — a look at date- and condition-based decision support and keeping claim evidence.
How to ease the record burden of daily-living function assessment in recovery-rehab wards through EHR design — unifying timing and removing duplicate entry with other assessments to lighten nursing workload.
How to prepare for data-submission add-ons and requirements in recovery-rehab wards by shaping data from daily records — standardizing input to the forms and running the submission workflow.
Managing information in one place for the add-on that evaluates rehab-nutrition-oral coordination, including GLIM-based nutrition assessment, so multidisciplinary records stay unified and claim evidence remains.
How to prepare, from the EHR and record-keeping angle, for add-ons that evaluate recovery-rehab structure: confirming facility and outcome requirements and keeping daily records as evidence of your structure.
How to auto-calculate the outcome index that recovery-rehab wards face every month directly from FIM data in the EHR, cutting manual errors and month-end burden while surfacing ward metrics faster.
An explanation of the GAF scale — its role in psychiatric home-visit nursing records and the severe-case add-on for long-term care wards, and how to reliably capture it in the EHR.
The data-submission add-on requires continuous format-compliant submission. We explain a pipeline from daily records to submission data and a cross-system data platform.
Psychiatric OT depends on records and outcomes for claims and quality. We explain recording and auto-tabulating attendance and activities, and multidisciplinary sharing.
Psychiatry has many add-ons, and gaps cause missed claims. We explain linking records and claims to prevent losses like the severe-case add-on, plus assessment measures.
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