Big data and BI in healthcare

Bryan Minami our consultant managing the role
Posting date: 6/28/2018 2:53 PM

Last week, we reviewed a few highlights from 2017. One of those highlights was the IoT of healthcare. In the conclusion of our 2-part series, we’ll take a look at a few tech trends for 2018 and their impact on the growing digital technology within the healthcare industry. As the population ages, it’s important to form ranks, consolidate information, and utilize insights from big data and analytics for improved healthcare.

Healthcare systems across the country are feeling the pinch to consolidate and work together to provide improved healthcare to their patients regardless of the political climate and San Francisco is no exception. 

San Francisco boasts a thriving economy and in a region often segmented by its marketplaces, healthcare organizations are coming together as independent hospitals get folded into larger systems or disappear altogether. Combined with the biggest driver of change – consumer demand – healthcare is just one of the industries poised to welcome digital technology to its doors. What better way to provide improved services and manage expenses across health systems?

Business Intelligence is Critical to Healthcare

Hospital and Healthcare systems are complex warehouses utilizing vast amounts of data to support operations and provide patient care. As data sources increase, healthcare organizations must keep up and with advanced analytics to support decision-making capabilities, they can. 

Data visualization tools, predictive modeling, and business intelligence software applications can help organizations gain insight to ensure best practices are in play, but also patient satisfaction, clinical operations, and administration and management hum like the well-oiled machine they are to continuously improve services.

Elevating care throughout all departments and becoming a value-based organization can only be achieved through the 

intelligent application of data-derived insights

 obtained thanks to comprehensive, advanced BI software.

Deriving Value from Healthcare Analytics

Predictive modeling and data visualization are key components in deriving value from healthcare analytics, though central to BI users understanding of information received, helps process patient data insights. Applying insights to vital areas of patient care, hospital management and operation, help to answer the questions “why” and “what will happen in the future”, rather than the formerly reactionary “what happened”.

Healthcare dashboards offer simple, streamlined, and efficient business intelligence to help leverage data for improved services and care. Patient-related insights are crucial to making this happen. 

Using advanced analytics, healthcare institutions have the power to ask important questions about the future to inform their decision-making. The ability to ask the important questions allows healthcare management to take proactive steps towards preventative treatment in real-time to provide the best care for their patients. 

On the Cutting Edge – Tech Trends for Healthcare and Across Industries

Electronic Healthcare Records Management (EHRM), wearable devices, digital medicine, and cutting edge applications are just a few of a long list of the Internet of Things (IoT) in healthcare. Spurred by innovations in edge devices such as intelligent routers, gateway servers, and device firmware, computer power has shifted IoT computing to the edge. This trend will improve processes and further engage customers leading to immersive experiences. Imagine not only tracking your heart rate, but 

receiving an EKG in real-time

, right from your watch. No trip to the doctor’s office required.

Machine learning

 is on the rise as AI technologies help software systems learn on their own. Improvements in AI technologies, particularly in regard to speech analytics, natural language progression, and deep-learning platforms have firms poised to scale their businesses more efficiently as software learns to adapt without programming.

As technology advances, humans are increasingly found working side-by-side with software robots. Yet, robots are not pushing humans out of the workforce as once imagined. Though repeatable tasks such as search, collate, update, and access multiple systems are some of the jobs being automated, it’s estimated 

25 percent of jobs will be transformed

 through the advent of social machines. This move in social machines is where robot software meets human interaction for increased opportunities.

If you’re interested in bringing your big data skills to healthcare, we may have a role for you. We’re currently recruiting for a 

Senior Data Engineer (Remote)


check out our other vacancies


For the East Coast and Mid-West teams please call 212-796-6070, or email

For the West Coast team call 415-614-4999 or email 

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