Articles by Deerwalk

Deerwalk Diagnosis Groupers

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The Diagnosis Groupers developed by Deerwalk was bundled in the initial release of its product, Makalu, in January 2012. These Diagnosis Groupers provide support for the reporting categories and quality metrics that our clients frequently need. Moreover, since many of our clients use “home-grown” codes, being able to assign these non-standard diagnosis codes to standardized groupers allows them to easily incorporate these codes into reports and analytics.

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Makalu 1.3 Release

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Makalu
We are pleased to announce the release of version 1.3 of our healthcare data analytics platform, Makalu.

We are pleased to announce the release of version 1.3 of our healthcare data analytics platform, Makalu. The platform, which utilizes big data technologies such as Hadoop and Elastic Search at its core, is fully private label ready to our customers. The platform’s most recent enhancements make it more ready than ever for use by Accountable Care Organizations (ACO) and Patient-centered Medical Homes.

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Everest 1.3.2 Release

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Deerwalk is pleased to announce 1.3.2 release of Everest, an innovative care coordination solution. With this release, users can quickly segment caseloads by group – a functionality that will be especially helpful for users with large caseloads. Tasks can also be sorted by groups so that investigation of outstanding tasks for a specific group is convenient. In the Utilization Management section, users can attach documents such as care update faxes from physicians directly to an authorization request, review form, and/or consultant review form.

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Vuuch Case Study

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Founded in 2009 and based in Sudbury, MA, Vuuch is a privately-held enterprise social software provider.  Vuuch’s deliverable-centric social operations platform uses “social @ work” to improve business performance. Vuuch is the only enterprise social software that connects people based on deliverables, rather than relationships. Vuuch can run standalone or be integrated into desktop and enterprise applications used across the enterprise. Vuuch connects anyone anywhere, improves how work gets done, captures knowledge and fosters innovation. Vuuch is focused principally on interactions related to a customer’s product.

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Deerwalk Cause: Book Donation

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We would like to thank all the Facebook users for their continuous support for Deerwalk Cause. The theme of Deerwalk Cause Q1 2012 was to donate books worth $1000 to the winning college. Among the 22 colleges who participated in the Cause, Gandaki College of Engineering and Science (GCES), endorsed by Jeevan Timilsina, has been declared the winner. We extend our congratulations to the winning team. Deerwalk Team visited GCES and handed over Computer Science Books to their library.

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Deerwalk Essay Competition

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Deerwalk Institute of Technology, our academic partner, held an essay competition designed to encourage and develop student writers, starting from February 10, 2012 to February 27, 2012. The competition encouraged extracurricular activities in addition to the academic endeavor of the students. The Honorable Minister of Science and Technology, Ms. Kalpana Dhamala, graced the Prize Distribution and Closing Ceremony of the event by her presence as the Chief Guest. She appreciated the efforts of Dr. Rudra Pandey, Executive Chairman, Deerwalk Inc.

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Website Design and Development for Small Businesses

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The Diagnosis Groupers developed by Deerwalk was bundled in the initial release of its product, Makalu, in January 2012. These Diagnosis Groupers provide support for the reporting categories and quality metrics that our clients frequently need. Moreover, since many of our clients use “home-grown” codes, being able to assign these non-standard diagnosis codes to standardized groupers allows them to easily incorporate these codes into reports and analytics.

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Secondary Indexing in Hbase for easy sorting

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Hbase is counterintuitive for any one with experience of row-based traditional Relational Database System. The major difference between Hbase or any of the other Google Bigtable clones with RDBMS, is that unlike RDBMS which mainly focuses on the question how the data is going to be stored, they instead focuses on how to access the data. That is RDBMS model mainly deals with identifying the entities and their relationship thus mandating the normalization of data for ACID assurance.

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