Aug 2026· Moratuwa Engineering Research Conference· pp. 904-909· 0 citations· 24 references
Abstract
CareLink is a privacy-aware healthcare-HR platform for coordinated workplace support of employees with specific learning disorders. The prototype screens dyslexia and dyscalculia using employee-consented questionnaire inputs, functional-impact indicators, persistence/history items, and consistency guardrails; dysgraphia is not included in this pilot. Two disorder-specific XGBoost classifiers generate dyslexia and dyscalculia risk probabilities. Confidence and quality-control rules combine these outputs into low-risk, disorder-specific risk, combined-risk, or low-confidence escalation categories. High-risk and low-confidence cases are reviewed by clinicians before any accommodation recommendation is shared with HR. A controlled pilot with 87 participants used internal cross-validation, clinician-confirmed labels, workflow timestamps, questionnaires, and interviews. The dyslexia and dyscalculia models achieved AUC values of 0.93 and 0.90. Mean time-to-support decreased from 34.7 to 8.3 days, and usability was high (SUS = 80.4). The contribution is a clinician-governed decision-support workflow that connects AI screening with privacy-preserving HR accommodation coordination without replacing diagnosis or automating employment decisions.
A guideline-aware artificial intelligence system that actively identifies gaps in care by combining structured EHR variables with unstructured clinical documents and tracking patient progress is proposed, making it safer and more effective in providing quality care to patients.
Vidhika, Manvi Chahar, S. Jaswal et al.· Engineering & Technology· 0 citations
This narrative, practice-oriented review maps the 2024-2025 landscape of AI-enabled prescribing in opioid use disorder (OUD) care, where the evidence base is most developed, while noting cautious extension to other substance use disorders (SUDs), and proposes safeguards that keep AI explainable, equitable, transferable...
Mike Zack, V. Skryabin· European Addiction Research· 0 citations
These findings support supervised use of large language models and evaluation approaches that assess reasoning and prioritisation as well as target detection and should not be interpreted as evidence that one model is clinically superior in real-world practice.
Kubra Cingar Alpay, D. Ozata, T. Gedik et al.· BMC Geriatrics· 0 citations
A transition-of-care risk index is introduced that integrates predicted readmission probability with medication complexity, unresolved clinical concerns, follow-up urgency, comorbidity burden, and continuity-of-care indicators to support post-discharge prioritization.
Frederick Damptey, Benjamin Odoom Asomaning· International Journal of Inn...· 0 citations
AI-assisted mental health counseling should be implemented as a governed clinical information workflow rather than as an autonomous diagnostic or documentation pathway, to establish clinical safety or clinical effectiveness.
We implemented a nurse-led multicomponent pathway in Tayside (Scotland) delivering integrated care and referral through three six-monthly visits within harm reduction settings for People Who Use Drugs (PWUD), who experience high multimorbidity and mortality. We examined pathway uptake and subsequent outcomes, and...
Christopher J. Byrne, S. R. Donaldson, Andrew Radley et al.· Harm Reduction Journal· 0 citations
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