The partnership will enable Aridhia, which has healthcare clients throughout the UK, Australia and Kuwait, to offer its core services – collaborative analytics platform, data science services and app development capability – to Craneware’s US client base.
It represents a major opportunity for both parties to work together to help US healthcare organisations benefit from the acceleration and commercialisation of informatics solutions that focus on patient outcomes.
A growing number of medical insurers are moving away from fee-for-service towards performance-based reimbursement and this is driving the requirement for informatics solutions.
David Sibbald, chief executive of Aridhia, said: “US healthcare providers have traditionally focused on financial outcomes and cutting costs but they are increasingly adopting a patient centric approach which will, in turn, have a positive effect on their bottom line.
Craneware works with some of the biggest healthcare providers in the US so we’re very pleased to be partnering with them and using our integrated healthcare informatics services to deliver better operational results for the Craneware customer, hospitals and therefore, better health outcomes for their patients.”
Craneware is a market leader in automated revenue integrity solutions that improve financial performance for healthcare organisations.
During the last 15 years, one quarter of all registered US hospitals have chosen Craneware’s medical billing software solutions to improve financial performance and revenue integrity.
Keith Neilson, Craneware CEO, said: “We are pleased to bring Aridhia’s AnalytiXagility platform to our client base, offering Aridhia’s expertise in utilising our clients’ data to improve their patient outcomes.”
Aridhia’s collaborative analytics platform, AnalytiXagility, underpins the world-leading Stratified Medicine Scotland Innovation Centre.
AnalytiXagility and its supporting data science and application development services are being deployed in healthcare use cases that include: analysing waveform data from traumatic brain injured patients, implementing risk stratification to reduce hospital readmissions, building population level diabetes risk models, predicting the disease pathway of multiple sclerosis patients based on imaging data, and underpinning Horizon 2020 research programmes that include smart ageing, cystic fibrosis and cancer biomarkers related data.