Mapping information uncertainty in hospital wayfinding through
patient journey maps

J 2026

Mapping information uncertainty in hospital wayfinding through patient journey maps

ZBIEJCZUK SUCHÁ, Ladislava

Základní údaje

Originální název

Mapping information uncertainty in hospital wayfinding through patient journey maps

Autoři

ZBIEJCZUK SUCHÁ, Ladislava

Vydání

Information Research, University of Boras, 2026, 1368-1613

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50803 Information science

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 0.900 v roce 2024

Označené pro přenos do RIV

Ano

Organizační jednotka

Filozofická fakulta

DOI

https://doi.org/10.47989/ir31ISIC65290

EID Scopus

2-s2.0-105040246341

Klíčová slova anglicky

hospitals; information uncertainty; patient journey map; wayfinding

Změněno: 18. 6. 2026 10:10, PhDr. Ladislava Zbiejczuk Suchá, Ph.D.

Anotace

V originále

Introduction. This study proposes a replicable framework to detect, code, and visualise information uncertainty during hospital wayfinding across digital and physical touchpoints, treating wayfinding as a distributed information behaviour. Method. A seven-stage patient journey model (pre-arrival to exit) structures data collection. The unit of analysis is a stage-bounded interaction with a touchpoint. Analysis. Events are coded with a codebook. Coded units are aggregated into a Stage–Touchpoint–Uncertainty matrix and transformed into heatmaps and patient journeys that display uncertainty peaks. Results. The framework operationalises uncertainty with observable, time-stamped indicators and supports triangulation. Conclusion. Journey-based, behaviour-proximal coding makes information uncertainty measurable and comparable across sites. The approach enables evidence-based prioritisation of wayfinding interventions while accommodating variability in hospital contexts and patient needs.

Návaznosti

TQ01000352, projekt VaV

Název: Designérské řešení a optimalizace orientačního značení pro zdravotnická zařízení a orientaci v nich

Investor: Technologická agentura ČR, Designérské řešení a optimalizace orientačního značení pro zdravotnická zařízení a orientaci v nich, DC3 - SHUV

Citovat

ZBIEJCZUK SUCHÁ, Ladislava. Mapping information uncertainty in hospital wayfinding through patient journey maps. Information Research. University of Boras, 2026, roč. 31, ISIC (2026), s. 752-761. ISSN 1368-1613. Dostupné z: https://doi.org/10.47989/ir31ISIC65290.

@article{2577760,
   author = {Zbiejczuk Suchá, Ladislava},
   article_number = {ISIC (2026)},
   doi = {https://doi.org/10.47989/ir31ISIC65290},
   keywords = {hospitals; information uncertainty; patient journey map; wayfinding},
   language = {eng},
   issn = {1368-1613},
   journal = {Information Research},
   title = {Mapping information uncertainty in hospital wayfinding through patient journey maps},
   url = {https://api.elsevier.com/content/abstract/scopus_id/105040246341},
   volume = {31},
   year = {2026}
}

TY  - JOUR
ID  - 2577760
AU  - Zbiejczuk Suchá, Ladislava
PY  - 2026
TI  - Mapping information uncertainty in hospital wayfinding through patient journey maps
JF  - Information Research
VL  - 31
IS  - ISIC (2026)
SP  - 752-761
EP  - 752-761
PB  - University of Boras
SN  - 13681613
KW  - hospitals
KW  - information uncertainty
KW  - patient journey map
KW  - wayfinding
UR  - https://api.elsevier.com/content/abstract/scopus_id/105040246341
N2  - Introduction. This study proposes a replicable framework to detect, code, and visualise information uncertainty during hospital wayfinding across digital and physical touchpoints, treating wayfinding as a distributed information behaviour. Method. A seven-stage patient journey model (pre-arrival to exit) structures data collection. The unit of analysis is a stage-bounded interaction with a touchpoint. Analysis. Events are coded with a codebook. Coded units are aggregated into a Stage–Touchpoint–Uncertainty matrix and transformed into heatmaps and patient journeys that display uncertainty peaks. Results. The framework operationalises uncertainty with observable, time-stamped indicators and supports triangulation. Conclusion. Journey-based, behaviour-proximal coding makes information uncertainty measurable and comparable across sites. The approach enables evidence-based prioritisation of wayfinding interventions while accommodating variability in hospital contexts and patient needs.
ER  -

ZBIEJCZUK SUCHÁ, Ladislava. Mapping information uncertainty in hospital wayfinding through patient journey maps. \textit{Information Research}. University of Boras, 2026, roč.~31, ISIC (2026), s.~752-761. ISSN~1368-1613. Dostupné z: https://doi.org/10.47989/ir31ISIC65290.

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