Data Analytics and Decision Making in Healthcare Using Spatial Data Infrastructure

Abstract

Pakistan's healthcare system grapples with numerous challenges, including limited access to quality healthcare, a shortage of healthcare workers, and poor coordination among stakeholders. However, amidst these challenges lies a transformative solution—the integration of spatial data infrastructure (SDI). SDI serves as a central hub for geospatial data, encompassing population statistics, healthcare facility locations, and disease prevalence. By leveraging SDI, planners can address these challenges effectively. Through spatial mapping and analysis, SDI enables targeted resource allocation, strategic workforce planning, and evidence-based decision-making. Moreover, SDI promotes transparency and accountability by providing stakeholders with access to reliable and up-to-date information. This chapter highlighted the pivotal role of SDI in overcoming specific challenges faced by Pakistan's healthcare system, offering a pathway towards a more resilient and adaptive healthcare infrastructure.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 2 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.