Publication2025

Ensuring Data Privacy of Employees in Healthcare and WellBeing in the Era of Cloud Computing and the Internet of Things (IoT)

The record

Type: Publication
Date: 1 January 2025
Level: International — held abroad
Journal: Prioritizing Employee Mental Health and Well Being for Organizational Success
Pages: 369-391
Published: 1 January 2025
DOI: 10.4018/979-8-3373-2210-0.ch014
Scopus ID: 105008839578
Authors: 5
Open access: No
Citations: 0
International co-authorship: Yes
Co-author countries: IN, TH

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

3.8 Achieve universal health coverage, including financial risk protection and access to essential medicines
TargetPrimaryModerate confidenceJudged
Data privacy of employees in healthcare IoT systems examined through GDPR and digital economy legislation reveals gaps in legal protections.
Moderate confidence
The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
Judged
Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
Produced by
claude-haiku-4-5-20251001, under kortex-publication-v1
16.5 Substantially reduce corruption and bribery in all their forms
TargetSecondaryHigh confidenceJudged
Digital privacy legislation assessment addresses data protection and personal information security governance frameworks.
High confidence
The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
Produced by
claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1
Structural signal: co-authorship outside India.
Rule-derived
Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
Produced by
sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

vb-4.1 Transparency, accountability and the rule of law
Sub-themePrimaryHigh confidenceJudged
Data protection legal reforms support digital governance transparency and employee rights in technological environments.
Produced by
claude-haiku-4-5-20251001, under kortex-publication-v1

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Source rows resolved into this record: 1

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Citing this record

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KIIT Deemed to be University. “Ensuring Data Privacy of Employees in Healthcare and WellBeing in the Era of Cloud Computing and the Internet of Things (IoT)”. Kortex.

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