Information Transforms Healthcare. As a Provider, you collect more data than ever before, from EMRs, patient surveys, home monitoring, to imaging. Collaborating on patient care is difficult at best—there’s so much data, it can’t easily be shared and it’s often incomplete. And new insights can only be derived from relevant information. IT executives can close the gap between maintenance and innovation budgets and deliver clinically relevant, operationally efficient, and fiscally sound solutions for the business. How? With a proven IT infrastructure that allows you to securely take advantage of newly digitized data.
November 7, 2012
Resource
sites/default/files/resource-media/pdf/emc_transformhealthcare.pdf
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The wealth of electronic data generated by the U.S. healthcare system presents a paradox for healthcare providers. Cloud services offers healthcare an attractive solution, helping hospitals scale with ease, better manage resources, and provide fluid access and sharing of medical images across organizations, departments and providers – achieving a connectedness that supports healthcare organizations’ patient care goals. Learn why cloud services may be the solution to your healthcare organization’s medical imaging challenges.
November 7, 2012
Resource
sites/default/files/resource-media/pdf/medical_imaging_in_the_cloud_final.pdf
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Successful ACOs must assemble a consistent and complete view of patient’s clinical history for efficient access by care providers/managers. In addition, data intelligence is needed to establish patient risk profiles, treatment adherence, and clinical and cost trajectories for care management. Apixio’s intelligent cloud-based platform can aggregate and index patient data (structured and unstructured), apply sophisticated analytics, and route key insights into clinical workflow/reporting applications designed to help ACOs achieve optimal quality and cost objectives.
October 3, 2012
Resource
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http://www.apixio.com/access-performance-measures-webinar
In this webinar, Apixio describes innovative and intelligent analytics to automatically expose actionable opportunities to improve risk adjustment factor scoring by automatically extracting relevant diagnoses in clinical narrative using both text and scanned documents and comparing them against claims data to identify information gaps. The model leverages big data analytic techniques to determine where information gaps which can be addressed by coders to improve both chart audit productivity and also uncover additional opportunities for reimbursement.
October 3, 2012
Resource
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http://www.apixio.com/access-hcc-webinar
