Cancer LinQ deploys SAP to help cancer patients

The American Society for Clinical Oncology’s (ASCO) wholly owned subsidiary, Cancer LinQ has deployed SAP HANA platform for development of the ASCO’s Cancer LinQ.

SAP, a business software company, made the announcement at HIMSS15, being held April 12 to 16 in Chicago

Cancer LinQ is intended to be an innovative health information technology platform which will harness Big Data to deliver high-quality care to patients with cancer.

The aim of this initiative, which is developed and led by physicians, is to improve patient care.

Last year in June SAP announced that it will offer a personalized treatment recommendation service to its employees fighting cancer.

The service Corporate Oncology Program for Employees (COPE) was offered with a partnership with MOLECULAR HEALTH GmbH and delivers decision support for targeted cancer treatments with aiming for better results.

SAP company

The Service COPE is already available for employees in the United States and Germany.

Another initiative, GreenCare, by Dartmouth Hitchcock health system (D-H) and SAP helps knee patient.

GreenCare allows physicians to help improve surgical outcomes, address costs and help avoid unnecessary surgeries and thus improves patient care experience.

Company said GreenCare combines real-time data analytics with patient-focused, science-based surveys to give patients the best outcomes.

“CancerLinQ is intended to uncover personalized insights that will benefit oncology practices and patients across the United States no matter what their affiliation or choice of electronic health record systems may be and accelerate medical advances,” said Peter Paul Yu, president, ASCO.

ASCO announced in January 2015 that its wholly owned subsidiary, CancerLinQ will use the SAP HANA platform in the development of ASCO’s CancerLinQ.

Last year in February, SAP announced a project, Medical Insights, to improve the accuracy of cancer diagnoses and patient outcomes by enabling integrated access to clinical information and analyzing complex data sets in real time.

Shilpa Khatri
[email protected]

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