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Technologies to Drive Innovation in Healthcare

A great 2018 study by James Gaston - Sr. Director at HIMSS Health Care Advisory Services -talks about which technologies will drive innovation in healthcare. The three at the top of the list are

  1. Analytics and data management

  2. AI and machine learning

  3. Cloud computing

These technologies are transforming the medical industry - and their capabilities are growing at an exponential rate.

Here is a  link  to the webinar published April 19, 2019

Here is a link to the webinar published April 19, 2019

Lifetime Odds of Dying - from Opioid Overdose and Suicide

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.


Top 8 Healthcare Predictions for 2019

 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

10 High-Value Use Cases for Predictive Analytics in Healthcare

Some great uses cases for predictive analytics in health care. Check out this article from Health IT Analytics…

  1. Forecasting patient no-shows

  2. Risk scoring for chronic diseases, population health

  3. Preventing suicide and patient self-harm

  4. Avoiding 30-day hospital readmissions

  5. Getting ahead of patient deterioration

  6. Predicting patient demand patterns

  7. Managing the supply chain

  8. Ensuring strong data security

  9. Bolstering patient engagement and satisfaction

  10. Developing precision medicine and new therapies