Skip to content
Conference

CareLink: An AI-Driven Integrated Healthcare-HR Platform for Coordinated Management of Learning Disorders and Workplace Support

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.

View source

Similar papers

Conference Open access Sep 2026

AI-Based Detection of Care Gaps in Electronic Health Records for Improved Clinical Decision Making Using Temporal, Semantic, and Guideline-Aware Learning

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. · 0 citations
#explainable ai Review Open access Sep 2026

AI-Enabled Prescribing in Opioid Use Disorder Care: Decision Support, Risk Scores, Large Language Model Copilots, and Digital Therapeutics (2024-2025).

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 · 0 citations
#large language models Review Open access Sep 2026

Quality and safety of large language model–generated medication review outputs in geriatric pharmacotherapy: a two-stage comparative vignette-based benchmark evaluation

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. · 0 citations
Open access Sep 2026

AI-Driven Analysis of C-CDA Discharge Summaries for Predicting Hospital Readmission and Optimizing Transitions of Care Through FHIR-Enabled Clinical Interoperability

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 · 0 citations
Review Open access Aug 2026

A Human-Governed Clinical Informatics Framework for Safe AI-Assisted Mental Health Counseling: Secondary Framework Development and Requirement Mapping Study

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.

Mi-Ae Yang, Kang-Su Ha · 0 citations
Open access Sep 2026

Retrospective evaluation of a low-threshold multicomponent healthcare pathway for people who use drugs in Tayside, Scotland: an observational cohort study

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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.