HAIvia: Pioneering in HAI Prevention

Even as analytics continues to disrupt the healthcare arena by providing insights that were previously invisible, some facets of the technology are still overlooked and undervalued. Largely untapped by hospitalsis environmental service (ES) and infection prevention (IP) data. On the other hand, healthcare-associated infections (HAIs) have emerged as one of the significant risks associated with hospitalization. A staggering 1.8 million people per year are exposed to some kind of an infection during their hospital stay, and an estimated 271 people die from them daily. In addition to being a huge financial burden for hospitals (over $28 billion annually), HAIs also drastically impact hospital acquired condition (HAC) scores that can lead to CMS reimbursement penalties (approximately $1.5 billion for FY 2016).

Arizona-based HAIvia—‘via’ implies visual analytics—addresses this looming predicament by offering all-round analysis and visibility into infection prevention, ES, facilities management, training, and federal CMS data.

By leveraging the HAIvia platform, hospitals can boost infection control by scrutinizing aspects such as hand hygiene, room maintenance, ES personnel, and disinfecting procedures. Additionally, the platform enables hospitals to detect where employees need training and can assign it accordingly. “Our uniqueness is providing healthcare clients a hands-on environment where we assess their data and present them with a working prototype very quickly. This enables our clients to visualize their data and work with us through the discovery and user interface phase leading to a solution that helps make their everyday decision-making more efficient and well informed. Oftentimes, spreadsheets are all they have to work with; HAIvia provides drill downs and intelligent tiles that summarize unique metrics while allowing easy point-and-click navigation into more detailed data views” says David Wilson, the founder and CEO of HAIvia.

The HAIvia platform was initially developed for a global ES provider that deployed it to over 500 hospitals. The platform brought together disjointed data from over a dozen different sources to provided actionable data for each level of management.