Cohort profile : The Dutch wound monitor cohort and the Swedish Region Halland Integrated Platform (RHIP) wound cohort
Gustafsson, Oskar ; Lundström, Jens ; Ohlsson, Mattias LU
; Stenhamre, Hanna
; Tsang, Daniel
; Pavia, John
and Ahlberg, Ernst
(2026)
In PLOS ONE
21(1 January).
- Abstract
Hard-to-heal wounds are a growing human and financial concern, constituting approximately 1–3% of the healthcare budget. Wound care is not a medical specialty and is often not prioritized within healthcare. A large portion of the cost and suffering caused by wounds has the potential to be mediated through improved knowledge and effectivised workflows. One potential way to achieve this is through the implementation of AI-tools to support clinicians in planning and executing wound care. Information-driven care is a framework for implementing AI-technology in healthcare. Wound Monitor is a Dutch database containing data collected from home-care visits conducted by wound specialists during 2005 to 2022, mostly in Limburg. It contains data... (More)
Hard-to-heal wounds are a growing human and financial concern, constituting approximately 1–3% of the healthcare budget. Wound care is not a medical specialty and is often not prioritized within healthcare. A large portion of the cost and suffering caused by wounds has the potential to be mediated through improved knowledge and effectivised workflows. One potential way to achieve this is through the implementation of AI-tools to support clinicians in planning and executing wound care. Information-driven care is a framework for implementing AI-technology in healthcare. Wound Monitor is a Dutch database containing data collected from home-care visits conducted by wound specialists during 2005 to 2022, mostly in Limburg. It contains data of more than 17000 patients. Region Halland, Sweden, created a platform of integrated clinical, financial and operational data called “The Regional Healthcare Information Platform” (RHIP). The platform contains data on over 500 000 patients during 2008–2021. Within this data, a subset of almost 39000 patients have been diagnosed with wounds or wound related conditions. This subset of patients are defined as the RHIP Wound Cohort. This article characterizes the two wound cohorts in terms of demographics and wound types. Further, it examines the quality, quantity and granularity of the respective databases. The discussion section evaluates the strengths and weaknesses of the datasets in terms of the perspective they provide on the patient and wound journey. Lastly, the discussion section also explores how the cohorts may be utilized for predictive modeling and other machine learning-based applications in order to enable information-driven wound care.
(Less)
- author
- Gustafsson, Oskar
; Lundström, Jens
; Ohlsson, Mattias
LU
; Stenhamre, Hanna
; Tsang, Daniel
; Pavia, John
and Ahlberg, Ernst
- organization
- publishing date
- 2026-01
- type
- Contribution to journal
- publication status
- published
- subject
- in
- PLOS ONE
- volume
- 21
- issue
- 1 January
- article number
- e0339260
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- scopus:105028227665
- pmid:41564038
- ISSN
- 1932-6203
- DOI
- 10.1371/journal.pone.0339260
- language
- English
- LU publication?
- yes
- id
- e6909443-e0b9-4ba1-8918-66dbb894704b
- date added to LUP
- 2026-02-25 11:21:07
- date last changed
- 2026-05-06 23:35:23
@article{e6909443-e0b9-4ba1-8918-66dbb894704b,
abstract = {{<p>Hard-to-heal wounds are a growing human and financial concern, constituting approximately 1–3% of the healthcare budget. Wound care is not a medical specialty and is often not prioritized within healthcare. A large portion of the cost and suffering caused by wounds has the potential to be mediated through improved knowledge and effectivised workflows. One potential way to achieve this is through the implementation of AI-tools to support clinicians in planning and executing wound care. Information-driven care is a framework for implementing AI-technology in healthcare. Wound Monitor is a Dutch database containing data collected from home-care visits conducted by wound specialists during 2005 to 2022, mostly in Limburg. It contains data of more than 17000 patients. Region Halland, Sweden, created a platform of integrated clinical, financial and operational data called “The Regional Healthcare Information Platform” (RHIP). The platform contains data on over 500 000 patients during 2008–2021. Within this data, a subset of almost 39000 patients have been diagnosed with wounds or wound related conditions. This subset of patients are defined as the RHIP Wound Cohort. This article characterizes the two wound cohorts in terms of demographics and wound types. Further, it examines the quality, quantity and granularity of the respective databases. The discussion section evaluates the strengths and weaknesses of the datasets in terms of the perspective they provide on the patient and wound journey. Lastly, the discussion section also explores how the cohorts may be utilized for predictive modeling and other machine learning-based applications in order to enable information-driven wound care.</p>}},
author = {{Gustafsson, Oskar and Lundström, Jens and Ohlsson, Mattias and Stenhamre, Hanna and Tsang, Daniel and Pavia, John and Ahlberg, Ernst}},
issn = {{1932-6203}},
language = {{eng}},
number = {{1 January}},
publisher = {{Public Library of Science (PLoS)}},
series = {{PLOS ONE}},
title = {{Cohort profile : The Dutch wound monitor cohort and the Swedish Region Halland Integrated Platform (RHIP) wound cohort}},
url = {{http://dx.doi.org/10.1371/journal.pone.0339260}},
doi = {{10.1371/journal.pone.0339260}},
volume = {{21}},
year = {{2026}},
}