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Mirus Metrics app for iPhone and iPad


4.4 ( 8064 ratings )
Medical Finance
Developer: MIRUS AUSTRALIA PTY LTD
Free
Current version: 1.0, last update: 1 year ago
First release : 08 Dec 2022
App size: 15.95 Mb

To be in control of your AN-ACC data is to be in control of your future operational planning.

Mirus Metrics is a software platform offering advanced AN-ACC analysis, decision scenario support planning, consumer assessment insights served up via connection to Services Australia, and Data as a Service (DaaS) for Business Intelligence (BI) extensibility and integration with big data utilised by Aged Care providers.

The application is built to help clinical funding teams assign AN-ACC data points to their consumers who have either an unknown AN-ACC class or consumers who demonstrate a change from their current class (either as a reablement or deterioration in care). Providers can utilise those assigned data points to perform complex analysis to forward plan care minute requirements in future rosters, account for the impact of admissions and discharges, explore Medicare data quickly and efficiently, and forward plan margin performance on facilities from planned roster data (costs) against planned subsides (income).

Its ease of use, flexibility and scalability make Mirus Metrics accessible to users of all IT skill levels. What’s more, its suitable for providers of all sizes and levels of complexity and can help you and your organisation find new opportunities, improve workforce efficiency, and minimise risk of non-compliance with care minute planning.

Use the Mirus Metrics App to:

** Reference your consumer’s AN-ACC details, assigned Class forecasts, and payment details from your mobile device

** Validate paid claims and AN-ACC classes assigned by the contracted Assessment Management Organisations (AMO)

** Standardise your organisation’s assessment approach through assigned predicted AN-ACC classes via our AN-ACC algorithm

** Assign AN-ACC classifications across the relevant assessment framework of AN-ACC to predict accurate AN-ACC classes so that your organisation can forward plan