This paper is in the following e-collection/theme issue:

Public Health Data Analytics (93) Digital Health Reporting Standards, Quality and Transparency in e-Research (144) Medication Adherence (148) Advanced Data Analytics in eHealth (225) Pharmacovigilance (178) ePrescribing and Innovations in Pharmacies (85) Open Source and Data for Public Health (35)

Published on in Vol 18 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83465, first published .
A Comprehensive Approach to Days’ Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study

A Comprehensive Approach to Days’ Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study

A Comprehensive Approach to Days’ Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study

Authors of this article:

Maria Malk1 Author Orcid Image ;   Kerli Mooses1 Author Orcid Image ;   Marek Oja1 Author Orcid Image ;   Johannes Holm1 Author Orcid Image ;   Hanna Keidong1 Author Orcid Image ;   Nikita Umov2 Author Orcid Image ;   Sirli Tamm1 Author Orcid Image ;   Sulev Reisberg1 Author Orcid Image ;   Jaak Vilo1 Author Orcid Image ;   Raivo Kolde1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Maria Malk   1 , MSc ;   Kerli Mooses   1 , PhD ;   Marek Oja   1 , PhD ;   Johannes Holm   1 , MSc ;   Hanna Keidong   1 , MSc ;   Nikita Umov   2 , MD ;   Sirli Tamm   1 , MSc ;   Sulev Reisberg   1 , PhD ;   Jaak Vilo   1 , PhD ;   Raivo Kolde   1 , PhD

1 Institute of Computer Science, University of Tartu, Tartu, Tartu, Estonia

2 Institute of Family Medicine and Public Health, University of Tartu, Tartu, Estonia

Corresponding Author:

  • Maria Malk, MSc
  • Institute of Computer Science
  • University of Tartu
  • Narva mnt 18
  • Tartu, Tartu 51009
  • Estonia
  • Phone: 372 56689471
  • Email: maria.malk@ut.ee