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Research Proposal 4.6

Logistics Optimization for Elderly Patients: Scaling And Replication | A mixed-methods case study

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NLP InsurTech Leadership
Abstract

This research proposal investigates “Logistics Optimization for Elderly Patients: Scaling And Replication | A mixed-methods case study” using a difference-in-differences analysis. Through a economic lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Logistics Optimization for Elderly Patients: Scaling And Replication | A mixed-methods case study

ABSTRACT
Logistics Optimization for Elderly Patients: Scaling And Replication | A mixed-methods case study is unpacked across themes: change enablement, risks, usability, and governance. Limitations and future research paths are noted.
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