Four out of five hospital leaders trust the accuracy of their facility's data. However, almost half of the available data is underutilized, if not fully utilized, to guide business and clinical decisions.
The market researchers who uncovered these findings suggest that, indeed, AI is pervasive throughout healthcare, with the potential to improve patient outcomes, increase productivity, and reduce costs. We are only just beginning to see what AI can do to help us.
The study was conducted by Arcadia, a healthcare data platform supplier, in partnership with HIMSS. This project focused on those involved in data analysis activities and surveyed 100 hospital professionals at director level and above.
The resulting report, released this week, offers a number of takeaways. Here are five highlighted in the press materials.
1. Data supports quality care.
More than half of healthcare leaders surveyed believe data is important to improving the quality of healthcare. One in four believe data is needed to enhance care management and patient engagement strategies. Additionally, more than a quarter, or 28%, say their data platform improves health outcomes and patient satisfaction for their organization. The researchers said:
“These findings will accelerate the transition to value-based care and help achieve the Centers for Medicare and Medicaid Services' goal of moving all traditional Medicare beneficiaries to value-based care arrangements by 2030. This reinforces the importance of data.”
2. Actionable information increases productivity and efficiency.
Nearly all healthcare leaders (95%) agree that their institutions need big data and powerful analytics to improve clinician productivity.
“Facing staffing shortages, medical team burnout, and increased operating costs, healthcare organizations are leveraging data to deliver quality patient care and support their staff while doing more with less.” We can develop strategies to achieve this.”
3. AI drives innovation.
Approximately 84% of respondents have plans to integrate artificial intelligence, machine learning, or large-scale language models into their data platform.
“More than half (55%) will aggregate unstructured data such as images, audio, and PDFs to reduce time-consuming manual reviews and derive insights such as undocumented conditions to inform care delivery. We plan to provide information.”
4. Technology makes data more usable.
Responding healthcare leaders cited increasing data literacy (58%), using AI (47%), and addressing productivity challenges (34%) as key priorities for making data more usable. I am. Furthermore, 76% of large organizations (those with 15,000 or more employees) believe that implementing a comprehensive enterprise data solution is essential.
“Large organizations have the greatest need to connect disparate data sources to derive comprehensive insights and actions across the enterprise.”
5. Improving data currency remains an opportunity.
The majority of organizations (61%) update data at least daily for business intelligence analysis. However, once you build and run an AI model, that number drops to 32%.
“By enabling data in real-time, healthcare teams have instant access to the most up-to-date patient information, allowing providers to use the latest insights to make decisions.”
View the entire report.