AI analysis uses one year of book-of-business patient data, payer data, and patient outcomes as a base year. This sets up a second year’s projections.

The AI model becomes more accurate in each succeeding year, especially in its ability to connect seemingly disparate factors for disease which can identify additional risks and save lives.

The advantage of advanced machine-learning is the ability to sort through data quickly, learn from it, and deliver a predictive capability.

Algorithmic analysis reviews the hospital’s book-of-business for any year and then uses the results to predict the next year. A third-generation algorithm can predict the net revenue impact of a potential decision or market change that will impact the hospital.

Both can identify and measure the changing relationship among the many factors in the book-of-business that determine net revenue, profitability, and sustainable growth.

Does it matter what your hospital did in the last year before the Pandemic? What about the Pandemic years of 2020, 2021, and 2022?

The recovery year of 2023 from the Pandemic is important, as are 2024 and 2025. How has your book-of-business changed in each year?

Were you able to predict the net revenue impact of a decision you made or a market change? Were the top-line projections more accurate than the prediction for the cost side of the budget?

Does ongoing financial modeling enable you to predict or project changes to your book-of-business? Does your financial modeling recognize when anticipated variation in individual service lines become real change that could hurt the hospital, or create new opportunities?

Is there a marketing component or factor in your projected book-of-business for a new year?

Algorithmic analysis can serve as a check on AI accuracy and provide an explanation of the changes that determined each year’s top and bottom lines. In addition, it will confirm how the hospital performed with specific challenges and opportunities.

An in-depth payer scorecard shows individual payer performance, trends, and changes. It also provides an incisive denials history, denial patterns, the percentage of denials managed successfully, the cost of doing this versus projection, potential payer opportunities for risk-sharing, and key leverage points for winning contract renegotiation.

You have detailed data for each service line and department per setting. Each year is unique and the idea is to use better analytical tools to mitigate any unexpected disruption or change before it impacts the hospital. .

Patient needs are uniquely different by and within each demographic.Will our future include holistic wellness as part of evidence-based, patient-centric medicine? Is there a place in heath care for Concierge Medicine, functional medicine, and holistic healing?

New cures are here and others are in clinical trials. It is an exciting time to be in health care, but America still has a substantial wellness deficit with so many adults struggling with lifestyle diseases and aggressive cancers now affecting younger adults,

Finding the cause of disease is critical to the cure. AI will enhance the ability of researchers to identify new cures much faster, and that’s a good thing.

Do you need to explore different solutions for new challenges? Are you considering enhancing your Patient digital outreach, strengthening Patient Experience, or building-out a new wellness initiative?

We are conceptualizers and problem-solvers.

See what ‘Q’ can do for you!