Accelerate Your Data Science Agility with a Modern Healthcare Data Lakehouse
How to curate from diverse sources current, emerging, and evolving structure, semi-structure, and unstructured data into a data lakehouse for clinical and research analytics. And how to do so cost effectively with speed, quality and reliability through advanced automation, smart analytics, and DevOps paradigm.
With the global healthcare and life sciences data analytics market growing at 23.8% CAGR from 2021 to 2028, according to a new report by Grand View Research, Inc, organizations continue to make strong investments in smart data analytics driven by the need to improve value-based care, patient engagement, and operational excellence. The healthcare industry generates a tremendous amount of data from several diverse sources but struggles to convert that data into insights that improve clinical outcomes, patient engagement, and operational efficiencies. Data lakehouse and its structured transactional layer, coupled with sophisticated tools like AI/ML, NLP and smart analytics are used to spot trends and unlock insights that are not otherwise evident in data warehouses and data lakes. Many healthcare CxOs and clinical leaders are looking to curate patient, research, and operational data to innovate and use the results to deliver personalized care at the bedside. The challenge in breaking down the data silos, real time data ingestion, enforcing governance and security, confidence that the analytics is of highest quality and reliability, and doing it cost effectively in near-real time can be a daunting task for leaders.
What would a one-stop shop to assist organizations in securely converting their data into a valuable commodity with advanced analytical techniques in a data lakehouse paradigm look like. How important or attractive would it be to be able to execute digital transformation quickly and securely within HITRUST, in a cost-effective and frictionless way. What considerations will you make when deciding on which solutions and expert partner to leverage in this quest?
What digital transformation tools are there to automate the process? What used to take several months can now be done in just a few days. The ability is now there to make the deployment process repeatable within minutes with technology that leverages DevOps instead of system administrators and engineers.
How are you responding to the need for advanced and smart analytical tools that can analyse the wealth of data in real time with speed, reliability, and accuracy and place it meaningfully onto actionable visual management dashboards? Are your data and digital strategies effectively assisting your organization to better provision healthcare services, improve patient engagement, enhance personalized care, measure the effectiveness of various treatment options, optimize operational costs, and increase top line growth?
Damian David Senior Director of Business Development Healthcare Triangle
Start Date: 10/20/2022
Event Type: Archived , CHIME Foundation Focus Group