Articles by Deerwalk

A Week at Deerwalk Nepal

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Two hundred and sixty of Deerwalkers makes a daily effort to provide big data solutions for the US health care industry. Deerwalk has grown into the second largest software company in Nepal. Our President, Jeffrey A. Gasser, introduces us with the operations, team members of Deerwalk. Deerwalk provides great career opportunities for those who can make a difference and helps them to enhance their personal capabilities. Not only this, employees entertain themselves with weekly hike, picnic, annual feast, annual Futsal and many more.

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Deerwalk Flashback 2013

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2013 was a great year for Deerwalk. Our company got further more advance, in terms of our team members and clients. We accomplished many challenges and are yet to face many in the near future. Not only have we shown talents with our hands on the keyboard, but have taken it down from the dance stage to the football ground.

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Makalu 3.0.0 Release

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Makalu
Deerwalk is pleased to announce the 3.0.0 release of Makalu.
This release includes the following key features:

“Exclude” Filter Capability

With this Makalu release users has the ability to “exclude” in the filters (a diagnosis code, diagnosis grouper, a procedure code, or procedure grouper). This is helpful in identifying members with specific characteristics.

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Makalu 2.9.0 Release

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Makalu
Deerwalk is pleased to announce the 2.9.0 release of Makalu.
This release includes the following key features:

Financial Analytics – Group Summary Report

After the implementation of the new Makalu dashboard in the 2.7.0 release, the Group Summary Report was removed from the dashboard. This report displays an overview of membership, spending and total risk score by group. It has been moved to the Financial Analytics module (previously Care Analytics) with this Makalu release.

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Deerwalk Carrom Tournament 2014

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Deerwalk Carrom Tournament 2014 kicked off on March 23. This year, we had a total of 32 participants and each team comprised of two members. The teams were divided into four groups and league matches were held in each group. The runners-up and winners of each group qualified for the quarter finals.

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Makalu 2.8.0 Release

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Makalu
Deerwalk is pleased to announce the 2.8.0 release of Makalu.
This release includes the following key features:

Save Preferences

This new feature allows the user to save filter preferences throughout the application. The saved preferences applied in one module will be applied for the user in any other modules he/she accesses during that Makalu session. This functionality will prevent the user needing to enter the same filter preference over again when entering each module. Each form has a reset button which clears the applied filter preferences in the session.

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Makalu 3.3.0 Release

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Makalu
Deerwalk is pleased to announce the 3.3.0 release of Makalu.
This release includes the following key features:

Program Evaluator / Heat Map

The Program Evaluator report compares program effectiveness across age bands. Effectiveness is calculated by comparing PMPM values for participating and non-participating members who share the criteria specified on the report generation page. Lower values indicate higher effectiveness and are shaded in increasingly darker shades of blue, higher values indicate lower effectiveness and are shaded in increasingly darker shades of red. White shaded cells indicate roughly neutral effectiveness.

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Dr. Baburam Bhattarai’s talk program at Deerwalk

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On March 6, 2014, Hon. Former Prime Minister Dr. Baburam Bhattarai visited the Deerwalk premises at Sifal, Kathmandu, to deliver a talk on the IT sector, youth and the Nepali economy. The program began at 1:30 PM with a visit around the offices to observe the state-of-the-art technological facility of the company, following which the talk program was held.

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Makalu 2.7.0 Release

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Makalu
Deerwalk is pleased to announce the 2.7.0 release of Makalu. This release includes the following key features:

Dashboard New UI

Makalu has a new dashboard designed to deliver a quick, meaningful analytical snapshot of the client’s population. Graphical representation of Population Risk, Chronic Condition Utilization, Paid Amounts [PMPM] by Relationship, Distribution of Healthcare Expenses and PMPM Trending allow the user to gather key information at a glance. Each graph has a drill down which displays the underlying detail for the respective category.

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Why Do You Need Big Data in Healthcare?

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Big data is a plat form for importing, storing, and analyzing data to uncover information, not previously known. Traditional health care analytics tools are developed by IBM in 1970. But at Deerwalk we keep up with the changing technological landscape which we believe are crucial for the well being of the US health care industry. Thats why we created Makalu, our Big Data Engine which runs without SQL, providing you a cheaper, faster, and flexible way to analyze your data. We provide you the Big data solutions of future, in the present time.

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