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Case Study 4.8

Telemedicine and Data Quality And Bias among Regulated Utilities — Post-Pandemic Lessons

30
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Harvard
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~ 31–44 mins
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Food Systems DevSecOps Impact
Abstract

This case study investigates “Telemedicine and Data Quality And Bias among Regulated Utilities — Post-Pandemic Lessons” using a benchmarking and maturity modeling. Through a human-centered lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Telemedicine and Data Quality And Bias among Regulated Utilities — Post-Pandemic Lessons

ABSTRACT
Telemedicine and Data Quality And Bias among Regulated Utilities — Post-Pandemic Lessons is unpacked across themes: risks, costs, interoperability, and usability. Limitations and future research paths are noted.
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