Artificial Intelligence in Strategic Healthcare Business Decisions: Engineering Competitive Advantage Across Health Systems
Published 05/31/2025
Keywords
- Artificial Intelligence in Healthcare,
- Strategic Decision-Making,
- Clinical Decision Support Systems,
- Predictive Analytics,
- Healthcare Innovation
Copyright (c) 2025 Md Zubayer Islam (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Abstract
Health organizations everywhere are dealing with increased expenses, fewer available workers and the need to deliver high-quality care. Thanks to AI, companies now enjoy automation, forecasting tools and the ability to use data to make decisions which help them address these persistent issues in the supply chain. This report brings together progress from 2018 to 2024, examining the ways AI is used in healthcare by supporting clinical decisions, improving operations, shaping financial plans and designing hardware and software systems. Using Bangladesh’s experience in adopting AI expands our relevance to the region. AI-supported diagnosis seems to reach high precision and some research has found that it is 17% more accurate than traditional diagnostics. Patients now spend, on average, up to 35% less time waiting in the emergency room which boosts their experience and eases the flow of people. The use of AI for financial analytics has boosted coder productivity by 40% and lowered discharged-not-final-billed cases by 50% which has greatly improved revenue cycles and made costs more reasonable. Mobile platforms powered by AI in Bangladesh have made it easier for rural people to access maternal and child healthcare. The review provides instructions for decision-makers to implement AI aiming for equity and while meeting regulatory, ethical and technical requirements.