Express Healthcare

Compass Group India launches Medirest App, offering automated meal plans

The Medirest App automates the entire patient meal planning process, ensuring the right food is delivered to the right patient at the right time, impacting faster healing

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Compass India Food Services, part of Compass Group, announces the launch of its app – Medirest. The company offers a tech-enabled solution for automating the entire patient meal planning process for clinical dieticians at hospitals. Traditionally, dieticians spend a considerable amount of time manually gathering patient dietary information and creating meal plans for in-patients at a hospital. Medirest streamlines this process with automation, allowing dieticians to create personalised meal plans tailored to individual patient’s needs and preferences.

Features offered by Medirest App include:

Comprehensive nutrition information: Provides detailed nutrition information, including macronutrients, micronutrients, and allergens. This helps clinical dieticians to scientifically plan seven meals every day for every patient while eliminating the need for time spent on manual entries and data collation.

Personalised meal planning: The program generates precise and tailored meal plans based on the patient’s dietary needs, food texture preferences, and allergies.

Efficient meal planning: It also has a feature of ‘Planning Tags’ or ‘Health Tags’, like anti-inflammatory, fibre-rich, low fat, low spice, no salt, no onion/garlic and more, simplifying the meal planning process and ensuring accurate diet slip generation.

Seamless integration: It integrates with kitchen operation systems, where diet slip generation is automated, also providing daily/weekly reports to the key stakeholders for data analysis and improvements.

Operational efficiency: With automation of the patient meal planning process, the Medirest App also brings in process efficiencies, aiding food waste reduction, cost optimisation and staff productivity.

The scope of manual error is minimised while ensuring nuances like informational tags, nutritional requirements and culinary preferences of a patient are considered, simultaneously, it offers security features to safeguard the data.

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