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3 Quantifiable Benefits of Big Data Analytics for Smart Healthcare Service Providers

Jan 3, 2020

Given the ubiquity of healthcare data generated by business processes within the healthcare sector, healthcare data analytics and big data analytics for smart healthcare play an increasingly important role in every aspect of healthcare decision making. In such an environment, the use of solutions such as big data analytics for smart healthcare is not only crucial to analyze data generated by smart health devices but also an essential source of patient and operational information that drives decision making in the healthcare services sector.

big data analytics for smart healthcare

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However, until recently, making these benefits a reality by transmitting data obtained from smart health devices in an appropriate format to the downstream systems has been a significant stumbling block. But today a new breed of healthcare technology that focuses on the use of big data analytics for smart healthcare has transformed and made it much easier to process the data generated by medical information systems (MIS). For forward-thinking healthcare service providers, big data analytics for smart healthcare has turned out to be crucial in not only capturing device information digitally but also normalizing it, providing patient context, and transmitting it to downstream applications that use it in a wide range of innovative ways.

When combined with insights from BI and data visualization tools, big data analytics for smart healthcare services can help healthcare service providers to enhance operational efficiency by offering real-time information that can support decisions and deliver actionable insights.

Benefits of Big Data Analytics for Smart Healthcare Service Providers

Today, the concept of big data analytics in smart healthcare plays a key role in boosting the value of smart health devices and the data generated by them, providing a wide range of benefits for healthcare service providers that include the following:

1. Early Diagnosis Using Big Data Analytics for Smart Healthcare Services + Clinical Risk Score

The aim of big data analytics for smart healthcare is to focus on improvements that can help medical device companies to identify and analyze key signs and compare them with the observations recorded during initial assessments to compute a risk score that indicates a patient’s attrition rate based on the risk of decline. Employing a clinical risk score as an indicator of patient decline based on the data generated by smart health devices can also help optimize care and enhance device efficiency.

Why are healthcare service providers embracing big data analytics for smart healthcare service improvements? Request a FREE proposal to find out.

2. Detailed Insights Based on Big Data Analytics for Smart Healthcare + Evidence-Based Protocols

The application of big data analytics for smart healthcare service improvements offers several other benefits that help healthcare service providers to gain detailed insights into the factors impacting patient health. It is also essential to ensure comprehensive measurement and reporting so that healthcare service providers gain insights on how to modify the plan of care. They can gain insight into the completeness and timeliness of vitals, modifiers, and other documentation recorded, and identify outliers and opportunities by leveraging healthcare data sets. Besides, big data analytics for smart healthcare services can provide evidence-based practice protocols to meet quality measures.

Big data analytics for smart healthcare currently plays a crucial role in every healthcare organization’s business strategy. Request a FREE demo to gain comprehensive insights.

3. Device Utilization Optimization + Reduction of False Alarms

Adopting big data analytics for smart healthcare improvements helps healthcare service providers to track and monitor patient health based on location data and demographics. It also offers comprehensive insights on device utilization rates and location in case of maintenance and troubleshooting requirements. With healthcare analytics, smart health devices companies can gauge and analyze thresholds for alarms on a single dashboard that uses data to manually adjust and predict how changes in threshold values will impact the number of alarms received.

The data collected by healthcare service providers are often unique and quite complex and offers detailed, timely insights into the patient cohorts and their immediate health condition when analyzed. This means solutions such as big data analytics for smart healthcare service providers should focus on enhancing patient care and addressing the issues around healthcare workflows. Big data in healthcare often drives decision-making that has an immediate and important impact on patient care. And what is often overlooked is the data itself. Therefore, ensuring that business processes are fully operational and able to support accurate and complete data capture is crucial and can be just as important as the patient data it is capturing.

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