The Annual HIMSS Conference in Orlando was March 14-18
With the reporting of 26,000 attendees, HIMSS seems to be getting back on track and moving in the right direction.
So what were the reactions? What were the takeaways? Will the exhibitors and attendees return next year? Here is what they told us.
HIMSS22 felt like a much-needed return to normalcy. It was great to reconnect with customers, colleagues, and partners in person. Staffing challenges and patient experience were top of mind for many providers and virtual care solutions, including our own new Inpatient Virtual Engagement offering, were well represented as a means to help address both areas. Providers are increasingly looking for tools that will allow them to consolidate telehealth resources onto a centralized platform. Hybrid care models are gaining traction as care teams look to improve patient satisfaction and drive efficiency for care teams.
Technology has the potential to be the great equalizer in healthcare. This transformation requires the use of Social Determinants of Health (SDoH) data to predict health outcomes and advance health equity by proactively delivering evidence-based medical and social services to the right patients at the right time. At HIMSS 2022, we encountered many organizations actively seeking ways to understand and address adverse SDoH for the patients they serve using technology innovations including AI and ML. This work is essential for developing and deploying interventions that will advance health equity while allowing providers to be more efficient and effective.
It was wonderful to once again connect face to face with people from across the healthcare IT industry. Many attendees were meeting customers, prospects, and even colleagues for the first time at HIMSS22, which gave the conference extra significance. Beyond this social dimension, two key themes emerged at HIMSS22 —interoperability and artificial intelligence. Interoperability was on most providers’ agendas and there were an increasing number of vendors providing solutions in this area. In particular, health providers were looking for ways to include unstructured data in their interoperability efforts. While the definition of artificial intelligence varied from booth to booth, the need for technology to reduce the burden of handling large volumes of data was universally accepted.