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Digital Health Research Driven by Mobile Technology

Digital Health Research Driven by Mobile Technology

Mobile technology has emerged as the tool for both patients and doctors, clinics, and hospitals. Without it, health care could not have seen such secure implementations that are available to our generations. Like in any other sector, mobile tech provides many advantages over native approaches.

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Trends in healthcare coordination of benefits for 2019

Trends in healthcare coordination of benefits for 2019

While coordination of benefits (COB) used to be a relatively simple, albeit time-consuming process of tracking down payments already made, the rise of big data, data analytics and machine learning have turned COB into a dynamic and high-reward opportunity for health insurers trying to improve payment integrity and reduce administrative overhead in today’s tightly-limited marketplace.

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Finding candidates in a competitive labor market

Finding candidates in a competitive labor market

The technology industry’s unemployment rate is well below the national average, which in most cases, is a positive statistic, until you need to grow your team. A limited talent pool for analytics positions makes finding the right candidates to fit a team’s needs difficult for leaders. However, there are alternatives to traditional hiring processes that can ease these difficulties and help[…]

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Why a Predictive Model with High Accuracy might not be a Good Model

Why a Predictive Model with High Accuracy might not be a Good Model

Suppose you have a predictive model which has >85% accuracy - but is the model a good model? Just based on an accuracy we can’t judge whether a model is good or not. There are several scores to check the quality of a model. The Area Under the Curve (AUC) Score plays an important role. The AUC score of a model should be at least >0.6. We can also consider Root Mean Squared Error (RMSE) score for[…]

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The Future of AI is Enormous

The Future of AI is Enormous

In the current state of the art, artificial intelligence involves computers processing data, identifying patterns in that data and learning to accomplish tasks more effectively over time. AI is already making a huge impact in organizations implement it to address business needs, but as software, hardware and networks continue to evolve, the potential for artificial intelligence is enormous.

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