Clinicast bets on predictive analytics to optimize healthcare system management

By May 10, 2013
old style data management

Clinicast develops solutions which draw on and analyze data from US healthcare providers so as to help optimize their organization, workflow and cost management.

Very few people would dispute that the US healthcare system is simply not sustainable in the long term. First and foremost costs are too high. The United States spends around $2.7 trillion on health costs per year, equivalent to just under 17% of GDP.In addition the architecture of the system is too fragmented: hospitals, clinics, and rehabilitation centers all use different standards, and there are very few channels for linking up the data generated in one medical establishment with another. In 2010, the Obamacare bill set out to find an answer to these problems. The creation of the Electronic Medical Record (EMR) was one of the attempts to foster horizontal integration of the US healthcare system; it’s still being developed. Now organizations and their employees need to work at getting the best out of the new initiative. In California, for example, 30% of all physicians are on performance contracts. Against this background, a startup called Clinicast has been working to develop powerful analytical models so as to enable healthcare organizations to streamline the way healthcare is managed and dispensed, improve outcomes and reduce costs.

A cloud based solution

Clinicast emerged from the highly-rated Californian health sector incubator Rock Health a year ago. Its mission is to help health organizations such as clinics, hospitals and care centers to streamline the organization of the healthcare they provide. Accordingly, the company has developed ARTO, a cloud-based management solution which helps health providers to get more value-added from the data they already have, and therefore to manage the people in their charge more effectively. This analytical solution enables the extraction of demographic information, details of special requirements, data from laboratories and pharmacies and psycho-social information.

For optimized clinical data management

Once the data has been extracted, the system generates a predictive analysis. Explains Jack Challis, Clinicast co-founder and CEO: “Clinicast empowers providers to deliver better outcomes at a lower cost by identifying high-risk patients, matching those patients to interventions, and integrating action items into workflow.” This in turn increases productivity, provides performance measurement and assessment, and points up lessons for the future. This clinical data management solution is particularly suited to healthcare providers who have a large patient panel, and therefore large volumes of data, which could be better segmented. Clinicast has thus positioned itself as one of the pioneers of this predictive adaptive model.

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