With 45,000 attendees, 1,300 vendors and 300+ educational sessions focused on health, cybersecurity, data analytics, innovation, interoperability, population health, precision medicine and more, HIMSS19 proved - once again - why it is the leading conference in the healthcare industry. Even with such a diverse range of topics, overwhelmingly, the conversation on the ground revolved around one topic: patient experience. Specifically, attendees, presenters and vendors alike spoke at length regarding the role of A.I. and machine learning healthcare technology in providing a well-rounded patient experience before, during and after medical care is given.
The good news is that the industry now has access to healthcare technology to make patient record keeping better, thus enabling providers to offer a better patient experience. Unfortunately, this technology isn’t being leveraged to its fullest potential. While onsite for the conference, we spoke at length to attendees about how ARGO can help solve this industry-wide challenge. We shared with them how we built our probabilistic artificial intelligence algorithm on natural language processing and machine learning techniques — ones that are proven to identify 99 percent of duplicate records. We also shared how identity matching and duplication prevention solutions work across data-intensive healthcare technology industries to evaluate, link, and resolve data from multiple systems including master patient indexes when incorporated into an EMPI solution.
This type of technology is truly a game changer. It can help solve one of the major barriers plaguing patient experience: patient record keeping. After all, how can healthcare professionals provide the best patient experience when they don’t even have access to accurate patient data?
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