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Articles tagged “AI in Practice”

8 articles

PsychiatricAI in PracticeSakigake Link
AI in Practice|

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.

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PsychiatricAI in PracticeSakigake Link
AI in Practice|

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.

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Recovery RehabAI in PracticeSakigake Link
AI in Practice|

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.

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Recovery RehabAI in PracticeSakigake Link
AI in Practice|

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.

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Acute CareAI in PracticeSakigake Link
AI in Practice|

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.

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Cross-cuttingAI in PracticeSakigake Link
AI in Practice|

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.

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Cross-cuttingAI in PracticeSakigake Link
AI in Practice|

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.

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Cross-cuttingAI in PracticeSakigake Link
AI in Practice|

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.

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OTHER TAGS

Hospital DX15Medical DX11Small & Mid Hospital10Cloud10Fees & Add-Ons10Psychiatric8Recovery Rehab8EHR Selection8Acute Care7Standards & Interoperability7Migration & Replacement6EHR Adoption5
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