Hospitals gather vast amounts of information. Thanks to new technologies like AI and machine learning, this data is now more valuable to hospitals than ever before. By 2025, big data in healthcare is expected to be valued at nearly $70 Billion.
Unfortunately, when it comes to hospitals, this data more often archived, unstructured, and/or siloed off in disparate systems. Finding new and innovative ways to store, access, and share healthcare data continues to be of vital importance to helping hospitals succeed.
This point may involve a critical mindshift: from “data storage” as a solution to an archiving problem (which meets security requirements and doesn’t break the bank), to “content management”, where healthcare data is collected and structured in such a way so as to optimize the internal utilization and analysis of that data, in order to solve problems and improve efficiency, performance, outcomes, and so on.
Content management in healthcare faces unique challenges. Information needs to be accessible across the healthcare system, in order to support the full patient journey. At the same time, regulations like HIPAA and GDPR require high levels of data security to protect patient information. As data analysis in healthcare continues to expand, three key areas will grow in influence over how hospitals approach content management.
For most hospitals, the primary issue they face when trying to leverage their data is that it’s distributed omni-departmentally across the hospital. While there has been a push towards greater digitalization and integration, EHRs - first designed as a billing solution - are ill-equipped to handle the myriad data sources that hospitals now have. This is particularly true when it comes to surgery, where large amounts of rich and unstructured procedural data is produced.
Content management systems are designed to centralize data, but also to enable deeper analysis. With data analysis and AI technologies, properly structured data can be used to produce new insights, which could that translate into better outcomes on a number of key hospital performance metrics - for example, post-op infection rates, readmission rates, and also workflow efficiency metrics.
Point being, content management is not archival; it is a resource center where deep learning applies both at the individual patient level (e.g., patient risk scoring) and at the macro level (e.g. standardization of best practices).
Once the data has been collected, it is imperative to guarantee secure storage. With the rising cost of healthcare, it’s an increasing financial burden for hospitals to expand on traditional IT storage infrastructures.
A content management platform supported by cloud-based storage is a promising solution. Cloud storage is not only more affordable, but also space-saving, and equally (if not more) secure compared to mainframe storage. Cloud storage providers also work constantly to remain compliant with regulations, which is particularly important as non-compliance can cost hospitals millions.
Changes in approaches to content management are indeed reshaping security considerations as well. Because hospital data is now being aggregated and analyzed across a number of parameters (by procedure, by doctor, by age group and gender), maintaining patient privacy is vital. The insights proffered from large-scale, data analyses are important to share, but also involve significant considerations concerning data protection.
Being able to leverage data and share it with other departments is where healthcare providers can really benefit from content management software. Collaboration and care coordination are vital to guaranteeing positive patient outcomes. And new insights into best practices and patient risk help to prevent readmissions that eat into the bottomline under value-based care.
This is especially true in surgery, where there exists even higher risk of complications. Having access to data from the procedure, that would otherwise not be available in an EHR, helps to identify the root cause of the patient’s complication. Through reviewing and analyzing patients’ data, hospitals can work to establish best practices for a procedure by identifying where issues arise and how to best mitigate these risks. By sharing reviewing and sharing individualized cases, hospitals can improve surgical training and coaching through continuous feedback and reflection.
Want to learn more about cloud or network-based content management? Caresyntax understands hospitals’ needs and works diligently to provide solutions that help surgeons succeed. To learn more about our content management platform, or any of our data-enabled technologies, click here!