Compared to other industries, healthcare is falling behind in its ability to aggregate and apply data effectively. In fields like finance and e-commerce, for instance, businesses are using advanced analytics to glean insights from vast amounts of data, ultimately improving customer experiences and driving growth. However, in healthcare, the ability to collect and analyze data has been hindered by a range of factors, such as privacy laws, a lack of standardization, and siloed systems.
This post considers the things that limit our ability to harness the power of data in healthcare and also explores ways in which we are managing to improve care quality using data. We’ll explore:
A recent study from Stanford University refers to healthcare as “an industry under transformation,” and data/technology adoption is one of the major areas they highlight for growth. While data aggregation has the potential to revolutionize healthcare by enabling personalized treatment, predicting and preventing disease outbreaks, and improving patient outcomes, progress has been slow. Moreover, the sheer volume of data in healthcare makes it a uniquely challenging problem. With sensitive patient data at stake, regulations around data sharing and privacy must be taken seriously, but those protections may ironically be hampering effective healthcare for the very patients they seek to protect.
Overall, the aggregation and application of consumer data have enabled companies to improve customer experiences, increase operational efficiency, and drive revenue growth in a variety of industries. But when it comes to healthcare data, there are unique challenges standing in the way of the same kind of widespread personalization of care.
Despite the abundance of healthcare data generated daily, healthcare providers face challenges in utilizing this data effectively. A study from RBC Capital Markets notes that “By 2025, the compound annual growth rate of data for healthcare will reach 36%. That’s 6% faster than manufacturing, 10% faster than financial services, and 11% faster than media & entertainment.”
Some of the key factors hampering the broad application of aggregation benefits include:
Addressing these challenges will require a collaborative effort by healthcare providers, policymakers, and technology innovators to develop standards for interoperability, improve data quality, provide resources for data analytics, ensure data privacy and security, and promote a culture of change and innovation. Change is slow, thanks to so many factors at play, but that doesn’t mean advancements aren’t being made.
The healthcare industry has access to a wealth of data about patients, including medical records, lab results, and health monitoring data collected from wearable devices. And while advancement is slow, there have been dramatic improvements in the ways data is being harnessed to provide higher quality patient care.
It is no secret that implementing technology from companies like Enzee can ultimately result in workflow efficiencies as well as cost savings, on top of better data collection and utilization. The problem is that in today’s severely time-constrained healthcare environment, technology adoption is met with resistance because of the inevitable ramp-up and learning period. The simple truth is that learning to use a new technology efficiently takes time and effort, something many healthcare providers don’t feel they can spare. That means that the ultimate improvement of healthcare quality will require cooperation and coordination between administrators, providers, and technology producers.
As healthcare continues to navigate the complex landscape of data aggregation and application, there is a growing need for collaboration among stakeholders, including healthcare providers, policymakers, developers, and patients.
Despite the challenges, there is an enormous amount of promise. By working together to address challenges around data privacy and standardization, healthcare can catch up with other industries and realize the potential benefits of data-driven decision making, ultimately resulting in a higher overall quality of patient care.
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Compared to other industries, healthcare is falling behind in its ability to aggregate and apply data effectively.
Enzee explores how healthcare compliance and quality are related but often confused, and how providers and administrators can better differentiate between the two while continuing their efforts towards both advancing compliant operations and providing excellence in care delivery.
In the near future, Enzee’s platform will provide the same features from radiology and radiation oncology to the entire hospital equipment QA program and also connect to existing compliance and test tracking apps, providing a holistic picture of a facility’s compliance and quality across personnel and departments.