The National Safety Council has published lifetime odds of dying for accidental/preventable causes in the U.S. and for the first time opioid overdose (1 in 96) has surpassed that of motor vehicle (1 in 103). The odds of dying from suicide are sitting at 1 in 88. This underscores the importance of behavioral health and substance use disorder treatment for our nation. Both the opioid epidemic and suicides can be impacted through more sophisticated data analytics which will drive more targeted treatment and prevention activities.
In looking at our year ahead, here are some interesting predictions on Health Care for 2019 by Frost & Sullivan…
Here are some highlights…
1) 15% of global healthcare spending will be tied to Value-based Models
2) Artificial Intelligence (AI) for healthcare IT Application will cross $1.7 billion by 2019
5) Analytics shifts from Big Data to Meaningful Small Data by Hospital Specialty
6) Healthcare will be a dominant vertical in voice applications
7) Blockchain move from Hype to Real Initial Commercial Implementations generating ROI
Some great uses cases for predictive analytics in health care. Check out this article from Health IT Analytics…
Forecasting patient no-shows
Risk scoring for chronic diseases, population health
Preventing suicide and patient self-harm
Avoiding 30-day hospital readmissions
Getting ahead of patient deterioration
Predicting patient demand patterns
Managing the supply chain
Ensuring strong data security
Bolstering patient engagement and satisfaction
Developing precision medicine and new therapies
Happy 2019 everyone, here is a good article on how Big Data and AI are gaining a lot of executive attention in the health care space. Some article highlights from Health IT Analytics…
nearly 80 percent of healthcare participants also reported a greater urgency to invest in advanced analytics capabilities
nearly 80 percent of data analytics leaders said their organizations still struggle with big data analytics and AI adoption, with 92.5 percent naming cultural and organizational resistance as major barriers
91 percent of respondents said business transformation, agility, and competition were spurring additional spending, while just 4.8 percent named cost savings as the driving factor
Among healthcare respondents, concerns over disruptive forces and competitors were a major motivator for investment, with 78.6 percent citing this as their main reason for increased spending
AI and machine learning proved to be the priority for investment, with over 96 percent of executives saying their organizations are spending more on these solutions
Cloud computing is also a major area of focus, with 90.5 percent of executives reporting increased spending in this domain
Blockchain has emerged as an innovative solution to big data challenges, only a small number of healthcare organizations reported increased investments in the technology
Jonathan Lee, CEO of Signature Health, and I had the pleasure of speaking at the National Association of Community Health Centers (NACHC) Finance, Operations Management, & IT (FOM/IT) conference in Las Vegas a few weeks ago.
We talked through some practical ways for every sized health care organization to start using AI to improve their operations.
A key theme is that “Any organization can use AI, and every organization should”
What would you do if you could Predict whether your patient was going to show up at the time you made the appointment?
We step through how advances in Big Data, Artificial Intelligence, and Cloud technologies make this accessible to everyone - something not possible 3 years ago.
We discuss how to add AI to your arsenal with some practical steps to generate a positive cash flow experience with a suite of targeted “AI apps”.
For a copy of this presentation, please reach out to firstname.lastname@example.org.