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HIMSS 2020 Preview for CIOs and Healthcare IT Leaders

Posted February 24, 2020 by Beth Osborne & filed under Events, Healthcare.

The world’s largest and most attended healthcare technology conference is almost here. If you’re attending, you may be overwhelmed by all the amazing sessions offered. HIMSS 2020 includes 17 different tracks, delivering everything a healthcare professional should know about integrating technology. To help you plan your experience, we’ve put together a HIMSS 2020 preview.

What Do You Want to Learn About?

Depending on your role, specialty, or interests, there’s a track for you. Beyond the 17 topic tracks, HIMSS also separates tracks by audience type. By designing the ideal schedule for your conference, you can gain the information and knowledge you need to institute change or solve your biggest challenges.

Here are some interesting sessions that we think are ideal for CIOs and IT leaders. Plan your schedule with this HIMSS 2020 preview.

Interoperability Panel

In “Massive Interoperability: High-Performance Data Sharing at Scale,” panelists will be discussing data workflows and how true scalability can be achieved. They’ll also be talking about interoperability challenges in EHRs that prohibit true accessibility. Speakers include data integration experts.

CHIME-HIMSS CIO Forum

This forum includes an all-day look at the struggles that CIO and IT leaders face on a daily basis. Much of the conversation will be centered around digital transformation, as healthcare organizations are under pressure to execute this successfully.

HIMSS Interoperability Showcase™

Explore the latest solutions to cure interoperability woes at the HIMSS Interoperability Showcase. The showcase includes live demonstrations relating to needs such as analytics, patient-centered care, care continuity, and opioid management.

5G and Its Impact on Healthcare

5G is a hot topic across any industry. It promises to boost performance and revolutionize connectivity. Find out how healthcare can leverage it overcome latency and real-time issues you may be currently facing in “5G: Next-Generation Cellular for the Healthcare Enterprise.” The session also includes a case study.

Taking a Pulse on the Threat Landscape

Cybersecurity is on the radar of every healthcare entity. 2019 saw massive shifts in cyberattacks, with the industry being a huge target for ransomware attacks. Attend “The Shifting Cybersecurity Threat Landscape,” to learn about best practices and proactive strategies to keep your data secure. Hosting the session is the former director of the National Security Agency, Michael Rogers.

Big Data Innovation

Big data is an opportunity and a challenge. Harnessing the power of your healthcare data can provide you insights and drive innovation, but it must be balanced with compliance. Check out “How to Innovate with Big Data Analytics While Maintaining Security and Privacy,” to learn how to do both.

Leveraging AI

Having an AI strategy for your enterprise is critical in 2020. Understanding how to leverage AI and machine learning offers a vast array of opportunities. It can help address some of the biggest challenges healthcare faces, including readmissions, staff optimization, and identifying fraud. Learn about the value of AI at “The Intelligence Revolution: Are You Prepared with an Enterprise AI Strategy.”

What sessions are you most excited about this year? While you’re there, be sure to check us out at booth 7542, where you can learn about our data management solutions.

4 Trends to Watch in Healthcare AI

Posted February 20, 2020 by Beth Osborne & filed under Healthcare.

Technology has provided a new approach to healthcare, improving processes and patient care. The introduction of artificial intelligence (AI) into healthcare has revolutionized traditional practices, offering the ability to automate workflows, diagnose patients, and deliver intelligence for better patient outcomes. Healthcare AI has the potential to disrupt the healthcare ecosystem and is already in use with predictions that the market will hit $200 billion by 2025. But what’s the outlook for the next year? Let’s look at some healthcare AI trends to watch.

AI’s Impact on Patient-Centered Solutions

Being patient-centric is a challenge for most healthcare professionals. With concerns about costs, compliance, interoperability, and the growing need for more medical services, the medical environment has changed dramatically. Technology can help drive a more patient-centered approach, especially AI.

There are now a variety of different apps that patients can interact with to become more of a participant in their healthcare journey. Patient-centric AI is making it easier for people to receive the care they need. One example is Buoy, an interactive digital tool that allows users to enter symptoms. They then receive a personalized analysis and recommendations for care using algorithms. It’s in use by several healthcare systems.

Another use of AI to create better patient experiences is chatbots. Chatbots have become a valuable tool for consumer brands, and healthcare should embrace this technology. Interactions with chatbots are fast and easy for patients to self-triage. They gather information, provide feedback, and can then provide the information to physicians.

Data-Driven Public Health Intel

Amazingly over four trillion gigabytes of healthcare data are generated each year and will only increase. With healthcare big data, there are challenges, specifically the fact that most of it is unstructured. However, AI is the perfect tool for healthcare data mining. Using EHR records,

AI can assist in compiling information for clinical research as well as determine trends in public health. This intel can assist the entire healthcare industry in understanding the biggest healthcare risks and their possible remedies.

AI in Medical Imaging

Medical imaging is the window to the body. The rate of MRIs and CAT scans continues to rise as a way to diagnose patients without being invasive. It is costly, so the industry is turning to AI to make them less expensive. For example, Google’s DeepMind leverages AI as an image assistant and can identify 50 eye diseases. Other applications are helping spot lung lesions, potential strokes, and more.

Improving Communication and Reducing Errors

Did you know that approximately 250,000 people die every year because of preventable medical errors? It’s shocking to think that’s occurring in the modern world where physicians have access to communication tools. AI is providing answers to this epidemic.

There are a variety of platforms answering this call. Physicians can compare their prescribing activities as compared to peers treating the same conditions. It also has the ability to be a fail-safe when inaccurate information is computed into an EHR. Clinicians are only human, and they make unintentional errors. AI algorithms can compare the doctor’s orders to other information contained in the EHR. For example, a physician may prescribe a medication that could either cause complications based on other medications or could be wrong entirely. AI can catch this before it causes any harm.

Challenges with Healthcare AI

There is a lot of hype around AI in healthcare. It’s innovative and delivers efficiencies and the ability to improve care. However, there are challenges ahead, especially around the usage of PHI. Compliance with HIPAA and other regulations could cause issues.

Additionally, there are not any uniform standards around using AI in healthcare. One of the biggest threats to the opportunity is cyberattacks. Anything related to technology and healthcare creates inherent risk for data exposure and hacking.

What’s your take on healthcare AI? How do you think it will impact the field?