March 11, 2013
LOS ANGELES, Calif., March 11 — 4medica today introduced the industry's first Master Patient Index (MPI) engine based on big data technologies. A revolutionary, patented solution, the 4medica Big Data MPI increases precision by applying innovative technologies, while reducing duplication in patient information and scaling for the big data engendered by today's ACOs and HIEs.
"ACOs will not survive without MPIs, but traditional MPIs aren't designed for the increased array, amount and alacrity of data ACOs represent," said 4medica's CEO, Oleg Bess, M.D. "More patients, more care demand, and more care settings means more difficulty for provider organizations to drive quality initiatives by delivering the right services to the right patients at the point-of-service. The only way to do that reliably is by bringing the big data ACOs must manage down to the level of individual patient information."
The 4medica Big Data MPI is significantly more efficient, more accurate and less expensive than conventional MPIs. An inverted index algorithm and Big Data storage structure allow it to evaluate tens of millions of patients, searching, isolating and finding duplicates 100 times more efficiently.
The solution adjusts probability-scoring algorithms dynamically, employs multiple algorithms to evaluate different data sources and uses historic data to improve precision. Conventional relational-database-based MPIs would require massive computational resources to do the same tasks. Available as a cloud-based SaaS model or as a locally hosted MPI system, 4medica Big Data MPI reduces providers' technology investments, further lowering costs.
With data on more than 40 million patients nationwide, fed by thousands of interfaces, 4medica is singularly positioned to patent and bring to market the first big data MPI. 4medica's Integrated Electronic Health Record (4medica iEHR), the industry's leading cloud SaaS clinical integration platform, helps healthcare organizations of diverse types create a seamless view of the patient care experience and drive EHR adoption. 4medica connects over 100 institutional facilities including hospitals, health systems, physicians, laboratories and radiology and pathology clinics; more than 30,000 physicians use its products.
4medica provides the industry's leading cloud SaaS (Software-as-a-Service) clinical integration platform, the 4medica Integrated Electronic Health Record (4medica iEHR), to help healthcare organizations of diverse types create a seamless view of the patient care experience and drive EHR adoption. The intuitive iEHR platform design integrates with and builds upon disparate systems to facilitate interoperable data exchange across various care settings to promote care continuity. The cloud computing model is scalable, lower cost, maintenance-free, easy to use and deployable in a few months or less, eliminating large capital outlays or resource utilization. This is especially critical for small community and rural hospitals and physician heath organizations of all types and sizes striving to qualify for ARRA incentives and to demonstrate Meaningful Use. 4medica connects 100-plus institutional facilities including hospitals, health systems, physicians, laboratories and radiology and pathology clinics. More than 30,000 physicians use its products.
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?