Prevention, artificial intelligence, and mathematics in health economics: a framework for dynamic value modeling under long-term uncertainty

Lieke Maas; Ayshe Yaylali; Mickael Hiligsmann

doi:10.1080/14737167.2026.2642648

Prevention, artificial intelligence, and mathematics in health economics: a framework for dynamic value modeling under long-term uncertainty

Lieke Maas^*
, Ayshe Yaylali
, Mickael Hiligsmann

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › Academic › peer-review

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Original language	English
Pages (from-to)	465-467
Number of pages	3
Journal	Expert Review of Pharmacoeconomics & Outcomes Research
Volume	26
Issue number	4
Early online date	2026
DOIs	https://doi.org/10.1080/14737167.2026.2642648
Publication status	Published - 2026

Keywords

Health economics
prevention
mathematics
artificial intelligence
opportunities
health technology assessment
real-world evidence

Access to Document

10.1080/14737167.2026.2642648

Full TextFinal published version, 804 KBLicence: Taverne

Cite this

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title = "Prevention, artificial intelligence, and mathematics in health economics: a framework for dynamic value modeling under long-term uncertainty",

keywords = "Health economics, prevention, mathematics, artificial intelligence, opportunities, health technology assessment, real-world evidence",

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language = "English",

volume = "26",

pages = "465--467",

journal = "Expert Review of Pharmacoeconomics \& Outcomes Research",

issn = "1473-7167",

publisher = "Routledge/Taylor \& Francis Group",

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Prevention, artificial intelligence, and mathematics in health economics: a framework for dynamic value modeling under long-term uncertainty. / Maas, Lieke ; Yaylali, Ayshe ; Hiligsmann, Mickael.
In: Expert Review of Pharmacoeconomics & Outcomes Research, Vol. 26, No. 4, 2026, p. 465-467.

Research output: Contribution to journal › Editorial › Academic › peer-review

TY - JOUR

T1 - Prevention, artificial intelligence, and mathematics in health economics

T2 - a framework for dynamic value modeling under long-term uncertainty

AU - Maas, Lieke

AU - Yaylali, Ayshe

AU - Hiligsmann, Mickael

PY - 2026

Y1 - 2026

KW - Health economics

KW - prevention

KW - mathematics

KW - artificial intelligence

KW - opportunities

KW - health technology assessment

KW - real-world evidence

U2 - 10.1080/14737167.2026.2642648

DO - 10.1080/14737167.2026.2642648

M3 - Editorial

SN - 1473-7167

VL - 26

SP - 465

EP - 467

JO - Expert Review of Pharmacoeconomics & Outcomes Research

JF - Expert Review of Pharmacoeconomics & Outcomes Research

IS - 4

ER -