Related Experiment Video
Updated: Jun 13, 2026
05:35
A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level
Published on: January 19, 2024
Optimizing Budget Allocation for Digital Health Investments Using Metaheuristic Algorithms: A Cost-Impact Analysis
Faruk Dayi1, Aylin Erdogdu2, Yusuf Esmer3
1Faculty of Economics and Administrative Sciences, Kastamonu University, 37160 Kastamonu, Türkiye.
Healthcare (Basel, Switzerland)
|June 12, 2026
Summary
Optimizing digital health investments requires balancing costs and impacts. The Adaptive Impact-Cost Optimization Theory (AICOT) framework helps policymakers allocate resources effectively for improved public health outcomes and financial sustainability.
Area of Science:
- Health Informatics
- Public Health Policy
- Computational Health Science
Background:
- Public health systems are increasingly adopting digital technologies.
- Policymakers face challenges in resource allocation for digital health investments due to uncertainty and dynamic impacts.
- Effective investment strategies are crucial for improving accessibility, efficiency, and patient outcomes.
Purpose of the Study:
- To introduce the Adaptive Impact-Cost Optimization Theory (AICOT) framework for optimizing digital health investment portfolios.
- To enable structured evaluation of digital health investments under uncertainty using a hybrid approach.
- To identify optimal investment portfolios across different fiscal scenarios.
Main Methods:
- Developed the Adaptive Impact-Cost Optimization Theory (AICOT), integrating fuzzy logic and genetic algorithms.
- Defined the Investment Priority Score (IPS) based on cost, impact, and feasibility.
- Utilized a fuzzy inference system for qualitative-to-quantitative score conversion and optimization techniques for portfolio selection.
- Analyzed data from 15 OECD countries (2018-2024) and conducted sensitivity analyses.
Main Results:
- Blended investment strategies (routine digital health tools + pandemic infrastructures) showed the highest resilience-adjusted efficiency.
- Pandemic surveillance consistently emerged as a top priority, even under increased cost conditions.
- The AICOT model demonstrated adaptability to cross-country heterogeneity and varying digital maturity levels.
Conclusions:
- The AICOT framework offers a transparent, policy-relevant decision-support tool for efficient resource allocation in digital health.
- Implementation of AICOT can reduce unnecessary expenditures and enhance long-term financial sustainability.
- The framework supports global health objectives, including Universal Health Coverage and Sustainable Development Goal 3.
Related Concept Videos
01:30Health Information Technology and Healthcare Information System
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
01:29Issues And Trends In Healthcare Delivery System
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
01:26Methods Of Healthcare Delivery System
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...
01:15Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
01:30Primary Healthcare Services
Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
01:18Steps in Outbreak Investigation
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis: