The rapid proliferation of healthcare data has led to a current state where clinicians are overwhelmed. Despite vast seas of data from EHRs, devices, labs, and imaging systems, data that is truly useful for decision-making is hard to come by. Care teams are relegated to spending their precious time stitching together and making sense of data from multiple sources and systems. This only adds to the growing burnout problem.
63%
of US physicians experienced symptoms of burnout in the most recent AMA national burnout study
Source: AMA Recovery Plan for America’s Physicians
Clinical analytics is poised to reduce burden and burnout. They can provide the right information, at the right time to improve clinician efficiency, enable timely interventions, and create more personalized care paths. To be effective, they must operate on a technological foundation that’s robust enough to handle descriptive, predictive, and prescriptive data analysis.
To gain insight into the technical foundations that facilitate clinical analytics effectiveness, Microsoft and Redox sponsored an IDC InfoBrief. The resulting cornerstones were published in “Transforming Healthcare: The Four Cornerstones of Clinical Analytics,” IDC #US50569723-P, April 2023.
The IDC InfoBrief details each of the cornerstones, but here is a preview of their findings and guidance.
Embedded AI solutions
- Offers evidence-based care paths
- Automates routine tasks
- Improves clinician/patient experiences
Cloud elasticity and access
- Captures data from across the enterprise and beyond
- Enables “pay-as-you-grow” pricing with as-a-service model
- Provides real-time 360- degree view of the patient
Data interoperability
- Breaks down data silos
- Facilitates secure data exchange
- Provides foundation for clinical analytics
Embedded AI solutions
- Ensures secure access
- Meets compliance standards
- Maintains data privacy
Data interoperability addresses challenges that impede clinical analytics
The fragmentation of data across disparate clinical systems and devices makes it nearly impossible to form 360-degree patient views to maximize clinical analytics. Interoperability is the key as it can aggregate and normalize data across silos, creating the foundation for clinical analytics at scale.
Embracing the cloud provides elasticity for storage and compute
The cloud can store healthcare data from inside and outside the organization in a central location. Further, the cloud makes data available for use in powerful clinical analytics services and tools that can only be found in the cloud.
50%
of healthcare providers run analytics applications in the cloud
Source: IDC InfoBrief, sponsored by Microsoft in partnership with Redox, “Transforming Healthcare: The Four Cornerstones of Clinical Analytics,” IDC #US50569723-P, April 2023
Data must be secured as it is shared and used
While the proliferation of devices, diversification of healthcare settings, and increase in care team collaboration lead to better care access, they also lead to security vulnerabilities. Securing data as it is exchanged and used is more critical than ever.
35%
of healthcare providers that plan to increase overall IT security spending will allocate additional spending to data security
Source: US Healthcare Provider Technology and Connected Health Survey, January 2022
AI enhances clinical analytics
Unless you are living under a rock, you are aware of the enormous potential of artificial intelligence in healthcare. Improving patient communications, predicting risk, detecting anomalies, and automating processes are within reach. But data governance frameworks must be in place before these advancements can be realized.
65%
of healthcare organizations will have data governance frameworks in place by 2025 to prioritize the ethical and explainable use of AI for predictive, preventative, and personalized care.
Source: IDC InfoBrief, sponsored by Microsoft in partnership with Redox, “Transforming Healthcare: The Four Cornerstones of Clinical Analytics,” IDC #US50569723-P, April 2023
These takeaways scratch the surface of the insights available in the IDC InfoBrief. If you’re looking to make your clinical analytics work better for you, check it out.
Lay the cornerstones with Redox
Redox can be an important part of your organization’s interoperability, cloud, security, and artificial intelligence strategies – positioning you to get the most out of your clinical analytics.
Redox clarifies how data can be obtained, stored in the cloud, and secured for use in AI or other cloud services.
- Our Redox Nexus and Access products simplify interoperability inside and outside of the organization.
- Our Chroma product helps unify the data by matching and merging patient records from disparate sources.
- Our Nova product accelerates the translation and normalization of data to FHIR for easy ingestion and maximum usability in the cloud.
All our products are secure and compliant with HITRUST level 3 and SOC Type 2 certifications.
Request a demo, today.
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