Wednesday, November 29, 2023
HomeArtificial IntelligenceHIMSS 2022: Wanting Ahead | DataRobot AI Cloud

HIMSS 2022: Wanting Ahead | DataRobot AI Cloud

One other yr at HIMSS has come and gone and DataRobot stays as energized as ever! This yr was an enormous second for the DataRobot group. We debuted our rising and devoted healthcare group, provided a preview of the AI Cloud DataRobot 8.0 launch, and – most significantly – had a whole bunch of conversations surrounding the impression of AI and the substantial assist for the healthcare business. Whether or not attendees have been partaking in our dwell demonstrations or just viewing our stand – the vitality and pleasure for the way forward for AI was evident. 

Tendencies at HIMSS 2022

Over the course of the convention, we observed a number of developments. Notably, the huge enhance within the presence of massive tech, individualized wearable expertise, and the rise of retail healthcare. With a whole bunch of attendees boasting their Oura rings, the development of at-home affected person monitoring, we witnessed the way forward for wearable and retail healthcare. Retailers comparable to CVS and Greatest Purchase have dove into the hyperlink between preventative healthcare and clinic comfort, and the research of client buying decisions because it pertains to well being. And because the presence of massive tech has elevated considerably from earlier years, it stays abundantly clear that the healthcare business is able to take the subsequent large leap. Healthcare leaders have seen the necessity for analytical instruments that present deep insights together with the quickly altering calls for that require Modern options that solely AI can present. 

Why This Issues

At DataRobot, we’re enthusiastic about the way forward for particular person healthcare information. Whether or not the information be from wearable units or nontraditional retail healthcare ecosystems, the flexibility to entry and perceive affected person information and enhance well being outcomes is stronger than ever earlier than. We perceive the huge quantity of knowledge could also be intimidating to some. Nonetheless, with the facility of machine studying, now we have the facility to uncover deep insights and remodel client well being. 

How AI Can Assist

Our sales space was constantly stuffed with individuals asking questions concerning how AI may help them remedy their hardest healthcare issues. Whereas there are a whole bunch of potential use instances, there are three key areas we centered on at HIMSS:

1. Social Determinants of Well being (SDOH)

SDOH are variables, usually on the neighborhood degree, which have lengthy been assumed to impression well being; nevertheless, there was a restricted understanding of the right way to apply this data in a approach that was actionable. Within the wake of the disparities seen through the pandemic, there’s a new dedication among the many healthcare neighborhood to acknowledge and tackle SDOH each inside and out of doors care programs. Use instances embrace: 

  • Geospatially figuring out neighborhood-level situations (comparable to type-2 diabetes, COPD, bronchial asthma, hypertension and so forth)
  • Predicting illness outbreak and unfold and figuring out excessive worth medical pathway interventions 

2. Staffing

There’s proof from across the globe that healthcare organizations are struggling to retain and entice medical workers, and this example has been exacerbated by the pandemic. Nonetheless, AI may help. A number of of our shoppers have deployed fashions that yield actual outcomes: one mannequin has been utilized to determine people more likely to churn within the subsequent six months, so the supplier system could be proactive and intervene to help with complete staffing issues. Use instances embrace:

  • Optimizing sufferers movement
  • Predicting workers surge necessities
  • Optimizing staffing retention. 

3. Disrupted Care

Figuring out sufferers in want of outreach, deciding the place to spend money on neighborhood clinics, and even guaranteeing follow-up for no-show appointments are alternatives ripe for AI and stay essential for the healthcare business. Use instances embrace:

  • Figuring out no-show appointments
  • Prioritizing backlogs of sufferers awaiting remedy 
  • Figuring out sufferers in want of preventative care

These three areas supply a glimpse into the impression that AI can have on the healthcare system. In case you are enthusiastic about any of those matters or different use instances, please view our Pathfinder Healthcare Resolution Accelerators to be taught extra.

With healthcare suppliers dealing with the persevering with problem of COVID-19 and the prospect of rebuilding conventional enterprise post-pandemic, there isn’t any higher time for AI to help in bringing pace, effectivity, belief, and accuracy to fixing healthcare’s hardest issues. HIMSS 2022 provided an exquisite alternative for us to hear, be taught, and work in the direction of broader integration of AI in healthcare, and we sit up for HIMSS 2023. 

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