Malnutrition Management

Technology that supports evidence-based malnutrition management to improve clinical outcomes and maximise reimbursements.

Healthcare malnutrition issues:

  • Global malnutrition prevalence
    • 20-50% acute care setting1,2
    • 40-70% aged care residential setting2
    • 12 per 10,000 hospital admissions develop hospital acquired malnutrition3
  • Low rates of identification and diagnosis, with coding 0-19%2,4
    • Adverse clinical outcomes and costs2,4
    • Missed hospital revenue2,4
    • Financial penalties for hospital acquired malnutrition3

The CBORD solution:

CBORD provides a complete solution for the management of malnutrition tailored to your healthcare organisation through consulting, software, and analytics.

The solution enables data integration from your EHR and CBORD software to deliver evidence-based practice for the identification, screening, assessment, diagnosis, tracking, communication, documentation, and coding of malnutrition. Data analytics seamlessly provides data on malnutrition prevalence, process audit data, as well as information to improve nutrition workflow and patient prioritization.

Demonstrated results:

CBORD customers immediately after implementing have demonstrated5:

Simplified, streamlined process

Improved efficiencies / optimised clinical resources (>60%)

Increased identification, diagnosis, and coding (95+%)

Maximised reimbursements

Automated real-time process audit data

100% staff uptake and satisfaction


  1. Agarwal, E et al (2013). “Malnutrition and poor food intake are associated with prolonged hospital stay, frequent readmissions, and greater in-hospital mortality: Results from the Nutrition Care Day Survey 2010.” Clinical Nutrition 32(5): 737-745.
  2. Dietitians Association of Australia (2009). “Evidence based practice guidelines for the nutritional management of malnutrition in adult patients across the continuum of care.” Journal of Nutrition and Dietetics 66(3): S1-S34.
  3. Australian Commission on Safety and Quality in Health Care. Selected best practices and suggestions for improvement for clinicians and health system managers: Hospital-Acquired Complication 13 Malnutrition. March 2018; Available from:
  4. Agarwal, E., et al. (2015). “Malnutrition coding shortfalls in Australian and New Zealand hospitals.” Nutrition & Dietetics 72(1): 69-73.
  5. Maunder K, Nave F, Ackerie A, McCray S (2019). Improving identification, diagnosis and coding of malnutrition: Phase 2: An electronic malnutrition management solution. 36th National Conference of the Dietitians Association of Australia, Gold Coast. Nutrition and Dietetics, Vol 76 (Suppl. S1):65. *Final presentation (not abstract) data is referenced.