The transformation to value-based medical care, artificial intelligence (AI) and machine learning, and the rise of private insurance models is predicted to have the most substantial adjustments to how the healthcare industry functions, according to Forbes.

Forbes has published predictions on the evolution to the healthcare industry for the last 10 years.

Here are Forbes’ top eight predictions for the healthcare landscape in 2019:

Healthcare organizations have their plates full, juggling the latest and greatest offerings and cutting-edge tools, all while figuring out budgets to support the advanced tech tools and procuring staff with the capacity to oversee them. One of these trending tools  on every administrator’s mind is preparing for and implementing Artificial Intelligence (AI).

Read any article or watch a news clip about the subject, and there are common themes that AI is projected to bring to the table — you’ll hear words like:

• Analyze
• Predictive actions
• Preventative care
• Feedback

The bottom line is that AI is seen as a benefit to the patient, first and foremost. With continuous connectivity and the capacity to learn, AI would have the ability to improve clinical efficiency by collecting, aggregating, and analyzing patient data —the results of this learning can then be used to improve patient adherence, engagement, and to proactively advise on next steps. AI in a clinical setting would prove its effectiveness as it begins to transform the healthcare system into one more focused on preventative care as opposed to reactionary care.

Artificial Intelligence (AI) is undeniably gaining momentum within healthcare. Case studies and beta testing is proving valuable for longterm integration inside clinical settings.

In a survey conducted by Intel and Convergys Analytics, half of the participating professionals reported that widespread adoption of AI is imminent — predicting that it will be common practice within five years.

Nearly 20% believe that AI will be completely adopted in less than two years.

The poll found that 37% of respondents are already using artificial intelligence within their organizations in some capacity.

The Institute for Healthcare Improvement (IHI) launched the Triple Aim initiative in 2007. IHI defines the Triple Aim as a “framework for optimizing health system performance.” It was created for healthcare organizations to enhance a patients’ experience (i.e. quality, access, and reliability) while reducing the per capita cost of care.

The three objectives include:

1. Improving the patient experience of care
2. Improving the health of populations
3. Reducing the per capita cost of health care

It is evident that most recent healthcare reform initiatives by the government regarding healthcare policy and funding, is fueled by the Triple Aim.

The three aims are not a new concept per se, but it wasn’t until government mandated healthcare reform, i.e Obamacare, that the Triple Aim became a sought-after goal for health organizations.

The Institute for Healthcare Improvement (IHI) launched the Triple Aim initiative over 10 years ago, back in 2007. It was created for healthcare organizations to enhance a patients’ experience (i.e. quality, access, and reliability) while reducing the per capita cost of care.

Following these three Triple Aim objectives enables healthcare organizations to recognize and solve problems such as poor coordination of care and excessive use of medical services. It also encourages organizations to focus attention on and redirect resources to action that produce the most considerable impact on health.

1. Improving the patient experience of care
2. Improving the health of populations
3. Reducing the per capita cost of health care

Why the Triple Aim?

 The United States healthcare system is the most costly in the world, accounting for 17% of the gross domestic product with estimates that percentage will grow to 19.9% of GDP by 2022.