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Cambodia Antimicrobial Resistance (AMR) Predicting Application (CAMPRA)

Cambodia flag

Cambodia

Healthcare

Moderate

Implementing Organisation

Cambodia Academy of Digital Technology

Cambodia, Cambodia, Phnom Penh

Government

Implementing Point of Contact

Thear Sophal

Researcher and Lecturer

Contributor of the Impact Story

Cambodia

Year of implementation

2026

Problem statement

Antimicrobial resistance (AMR) is a growing public health challenge in Cambodia, driven in part by the inappropriate and delayed use of antibiotics. Healthcare professionals often rely on laboratory test results to guide treatment decisions, but these results are complex, time-consuming to interpret, and not always translated into clear, actionable guidance. As a result, doctors may prescribe antibiotics based on experience rather than evidence, increasing the risk of ineffective treatment, prolonged illness, and the spread of resistant bacteria.In resource-constrained healthcare settings, the lack of decision-support tools further limits the ability to use available data effectively. There is a critical need for a practical, easy-to-use system that can transform laboratory data into timely and understandable insights to support clinical decision-making.Without such tools, inappropriate antibiotic use will continue to undermine patient outcomes and weaken national efforts to control AMR. Addressing this gap is essential to improve the quality of care, optimize antibiotic use, and strengthen Cambodia’s response to Antimicrobial Resistance.

Impact story details

The Cambodia Academy of Digital Technology (CADT) is a leading public research and education institution in Cambodia dedicated to building a vibrant, inclusive, and sustainable digital society. It aims to serve as the national flagship institution for digital technology and innovation by developing digital talent and nurturing innovators to support Cambodia’s digital transformation. CADT’s mission focuses on delivering high-quality higher education and professional training in digital technologies, advancing research and knowledge, and promoting innovation and entrepreneurship to improve academic and societal services. To achieve these goals, CADT operates through three institutes: the Institute of Digital Governance (IDG), which supports digital governance and provides digital skills training for civil servants; the Institute of Digital Technology (IDT), which offers specialized higher education programs to develop digital innovators for the digital economy; and the Institute of Digital Research and Innovation (IDRI), Cambodia’s first dedicated digital research institute, leading R&D to drive digital innovation and entrepreneurship.

AI Technology Used

Machine Learning

Key Outcomes

Efficiency

Productivity, Resource Efficiency

Narrative Outcome

Cambodia Antimicrobial Resistance Predicting Application (CAMPRA) helps healthcare professionals in Cambodia make faster, evidence-based decisions about antibiotic prescriptions. The platform interprets laboratory resistance results and provides clear guidance on effective treatments. Early indicators show reduced inappropriate prescriptions, shorter time between lab results and correct treatment, better alignment between prescribed antibiotics and predicted effectiveness, and improved patient outcomes. The system also supports capacity-building by tracking trained users and sustained engagement over time.

Impact Metrics

Assessing inappropriate antibiotic prescriptions based on laboratory resistance results

Baseline Value

0

Post-Implementation

Reduction in antibiotic prescriptions was seen post implementation

Time duration between receiving lab results and prescribing the correct antibiotic

Baseline Value

0

Post-Implementation

Average time reduced between receiving laboratory results and prescribing the correct antibiotic

Alignment between prescribed treatments and predicted antibiotic effectiveness

Baseline Value

0

Post-Implementation

Increased alignment between prescribed treatments and predicted antibiotic effectiveness

Assessing patient treatment outcomes

Baseline Value

0

Post-Implementation

Improved outcomes, such as lower treatment failure rates and fewer changes in antibiotics during care

Utilization of laboratory data in clinical decision-making

Baseline Value

0

Post-Implementation

Increase in the percentage of clinical decisions that reference laboratory data within the system and improved monitoring of antimicrobial resistance patterns across healthcare facilities

Capacity-building and sustainability of the solution

Baseline Value

0

Post-Implementation

Number of trained users, frequency of system use, and continued engagement over time

Implementation Context

Deployed

Phnom Penh, Cambodia, and parts of South-east Asia

Cambodian citizens

Key Partnerships

University of Health Sciences, Calmette Hospital, SESSTIM/INSERM/IRD/AMU, Hôpital Européen Marseille, French Fonds de Solidarité des Projets Innovants through the French Embassy in Cambodia

Replicability & Adaptation

Moderate

1. For use in other contexts, the system should be adapted to local clinical guidelines, antibiotic formularies, and resistance thresholds. 2. Integration with existing laboratory information systems may vary by country. 3. Language localization, user training, and alignment with national AMR policies are recommended to ensure effective adoption and sustainability.

1. Web Development Team 2. Data Science Team 3. An Expert in Antimicrobial Resistance

* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.