Evidence map›Paper›PMID 40840931›Full record

ArticleHealthcare informatics research2025

Digitalizing Emergency Referral System and its Evaluation in Northern Thailand.

Pudtan Phanthunane, Kritsada Wattanasaovaluk, Atipan Suwatmakin, Anon Suksak, Udomsak Tangchaisuriya, Utsana Tonmukayakul, Nopparat Ratchadaporn, Woravut Kowatcharakul, Direk Patmasiriwat

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Article in Healthcare informatics research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Pudtan PhanthunaneFaculty of Business, Economics and Communications, Naresuan University, Phitsanulok, Thailand.
Kritsada WattanasaovalukFaculty of Business, Economics and Communications, Naresuan University, Phitsanulok, Thailand.
Atipan SuwatmakinCentre for Health Equity Monitoring Foundation, Phitsanulok, Thailand.
Anon SuksakGraduate School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand.
Udomsak TangchaisuriyaFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Utsana TonmukayakulInstitute for Health Transformation, Deakin University, Geelong, Australia.
Nopparat RatchadapornDigital Health Department, Sansai Hospital, Chiang Mai, Thailand.
Woravut KowatcharakulDirector's Office Department, Sansai Hospital, Chiang Mai, Thailand.
Direk PatmasiriwatSchool of Development Economics, National Institute of Development Administration, Bangkok, Thailand.

Funding

National Research Council of Thailand 2563/009
6 · The paper itself

Abstract

objectivesThailand recently implemented an electronic emergency referral system, known as "HIS.SANSAI," to improve the speed, efficiency, and quality of patient care. This study evaluated the impact of HIS.SANSAI on user experiences and health outcomes.

methodsA multimethod approach was employed, combining data analysis from a cross-sectional survey that quantified users' preferences and perceptions with an examination of de-identified emergency referral records from 2019 to 2021. Multiple regression analysis assessed whether HIS.SANSAI significantly reduced the duration of medical services, while logistic regression evaluated changes in health outcomes before and after its implementation.

resultsThe survey results revealed high proficiency in system capabilities. Referring hospitals (sending hospitals) rated the system highest, with a score of 8.00 for "Reducing coordinated time." Referral hospitals (receiving hospitals) expressed moderate satisfaction, scoring highest (7.03) for "Reducing mistakes in patient information transfer" and lowest (4.27) for "Ease of use when recording." The effects of HIS.SANSAI were partially supported. Positive outcomes included shorter service times and a 13.16% reduction in severity at emergency room discharge for ischemic stroke patients. However, negative consequences were observed, such as notable treatment delays for acute appendicitis patients.

conclusionsHIS.SANSAI demonstrated robust system capabilities and reduced errors in patient information transfer. Its impact on health outcomes was mixed, with both positive and negative effects. Further evaluation and enhancements are necessary to optimize the system's overall effectiveness.

Indexed as

Electronic Health RecordsEmergency Medical Service Communication SystemsEmergency Medical ServicesPatient TransferReferral and Consultation

Identifiers

PMID40840931
PMCPMC12370423

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