This presentation will give a brief history of legacy interoperability to current day, highlighting the interoperability challenges as we migrate through different methodologies, standards and industry norms including the 21st Century Cures Act/TEFCA and how health information exchange could be drastically impacted by the implementation of a few blockchain concepts in the areas of identity, track and trace and consent to create a wholesale health data marketplace that puts the patient at the center of the equation and allows them to own, manage and profit from their health information.
Speaker: Michael Marchant, Director, Health Information Exchange and System Integration, UC Davis Health
Managing innovation and technology in Healthcare IT landscape was never just about the next IT project. Everything in Health IT has outsized consequences and it seems to be changing in new ways and with greater velocity. The examples of impact of the COVID-19 pandemic and the Great Resignation has proved that the best laid plans are ultimately just plans. Learn how a hybrid cloud approach offers an open invitation of compelling opportunities for organizations to transform, save and compete in ways that are not only affordable but non-disruptive. Join our conversation to learn about the leading strategic trends that every healthcare IT leader can leverage in order to meet the challenges of our constantly changing world.
Speaker: John Reeves, Healthcare CTO, Boomi
Presented by: Boomi
In addition to the webinar and regardless of attendance, please join the roundtable discussions to learn more about leading strategic trends that every Healthcare IT leader can leverage in order to meet our constantly changing HIT landscape. Some of the discussion topics may include:
Moderator: John Reeves, Healthcare CTO, Boomi
Presented by: Boomi
Clinically integrated supply chain is emerging as a key driver in improving clinical care – for patients, clinicians, and business performance. It requires an enterprise-wide focus on the components to drive a successful program – operational efficiencies and business judgment from supply chain, clinical insights for product selection and use, and strong data management and analytics expertise from the IT team.
Key Discussion Topics :
Speaker: Darrell Bilbrey, Principal and Founder, Vantage To You
Healthcare is being bombarded by demands to “upgrade” its data analytics to include data science (DS), artificial intelligence (AI), and machine learning (ML). These approaches can provide unique analytical insights, as well as help automate some operational and decision-making processes more efficiently and effectively than their alternatives. However, these approaches are also the buzziest of buzzwords right now, and many are overselling and oversimplifying their usage.
In this session, we will explore the entire analytical spectrum, starting with working definitions of DS, AI, and ML, as well as good old fashioned data analytics (GOFDA) – the still relevant and necessary Business Intelligence (BI) tools/reports/dashboards and ad-hoc SQL queries. This session will then discuss some healthcare data analytics use cases, including where DS/AI/ML is adding value – and GOFDA is complementing those efforts.
Speaker: Jim Harris, Senior Product Marketing Manager, Vertica
Presented by: Vertica
Artificial intelligence and machine learning (AI/ML) in healthcare is accelerating at a breathtaking pace. Ensuring that healthcare machine learning and AI works for the interests, values, and core functions of primary care requires more engagement from primary care clinicians and researchers, as well as significant infrastructure upgrades to support implementations in primary care.
As the largest care delivery platform in the U.S., primary care is where the power, opportunity, and future of machine learning and AI are most likely to be realized. – Primary care can (and should) play a leading role in healthcare ML and AI implementation in support of patients, clinicians, and the health of the nation.
Medication-related initiatives are strategic priorities as health-systems and aim to decrease costs, increase revenue, and enhance patient safety. High-performing medication management analytics programs utilize data to provide value to the organization in achieving its financial, clinical, and operational goals powered through robust medication management data strategy.
This session will describe how to rapidly move large amounts of data reliably and autonomously into a cloud data platform so that hospital staff can focus on other aspects of patient care.
Learning Objectives:
As health data grows and becomes increasingly diverse, clinicians and radiologists need easy access to data that is seamlessly integrated, aggregated, and visualized in applications and services across modalities and within their existing workflows. To enable this vision you need an end-to-end data strategy to help unify your data in the cloud and use advanced analytics and machine learning tools to inform insights, accelerate decision-making, and improve patient care.
In this session, we will discuss some of the top challenges facing healthcare organizations today and how technology and the cloud is enabling innovation to unlock the potential of science and health data