There are 44 item(s) tagged with the keyword "Healthcare".
Displaying: 1 - 10 of 44
- How Employers Can Leverage Data for Positive Impact
We'd like to extend a big thank you to our guest blog contributor - Higginbotham
In order to truly impact the health of the organization, measure program success, see a tangible return on investment and contain cost, it's essential to implement a health risk management program. The program should actively engage your employees, make them aware of their current health status through preventative testing and possible risks associated with unhealthy behaviors, provide education to promote behavioral change and offer the measurement of tangible results for both the employee and the employer. But where do you start?
- I Am! Nurse Advocacy
I Am! Clinical Advocacy
The Advanced Plan for Health I Am! clinical advocacy solution transforms actionable insight into targeted action. We provide advanced and proven longitudinal analytics through our Poindexter platform and combine them with our proven I Am! nurse advocates, resulting in improved impact on the health and well-being of those who need it most.
- Millennials: Who Needs Primary Care Physicians? Give Us On-demand Healthcare
We'd like to extend a big thank you to our guest blog contributor - John Milne, Benefits Consultant, Corporate Synergies®
Millennials, and Generation Z behind them, are changing the way they access healthcare. In fact, 45% of 18- to 29-year-olds say they don’t have a primary care physician.1 Instead, they’re opting for on-demand healthcare.
Traditionally, individuals and families see primary care physicians several times a year and build relationships with their doctors over time. Visiting the same primary care physician when an illness strikes, or for an annual health & wellness checkup, can help the doctor notice changes in a patient’s health and catch issues before they become more serious (and costly).
But for Millennials, having a primary care physician isn’t necessarily a priority.
- Feature Engineering in Healthcare Analytics
Jason Rudy, Data Scientist / Programmer and Matt Lewis, Programmer / Product Manager
In a previous blog post, we walked through the process of building a predictive model using healthcare data. One of the things we touched on briefly there, was how important proper feature engineering can be to creating a useful representation of the underlying data, and how the choices made around shaping data into features can change the nature and performance of the resulting model.
In this post, we’ll be going deeper into the process of feature engineering, and how to convert raw data inputs into a form that will make machine learning not only possible, but effective.
- Taking the final mile with Population Health data findings - Nurse Navigation is one avenue
More and more frequently, our current and prospective employer group clients will ask us what we see as the most effective avenues to support employees and members who have been identified through analytics for outreach and support.
There are many avenues that our clients are taking to get individuals the education and support they need. Nurse Navigation is one of the most effective programs that we’re partnering with our clients to launch and manage. We thought this would be a good topic to cover during National Nurses Week.
- Kidney Disease and Dialysis Best Practice Guide Published by Advanced Plan for Health
Valuable to entities facing high kidney disease and dialysis costs and risks
WESTLAKE, TX, Jan. 18, 2018 -- Advanced Plan for Health (APH), a leader in advanced and predictive healthcare data analytics and cost aversion has published a Kidney Disease & Dialysis Best Practice Guide.
- 38th Annual National Educational Conference & Expo
APH at BOOTH 218
September 23-26, 2018
SIIA’s National Educational Conference & Expo is the world’s largest event dedicated exclusively to the self-insurance/alternative risk transfer industry. Registrants will enjoy a cutting-edge educational program combined with unique networking opportunities, and a world-class tradeshow of industry product and service providers guaranteed to provide exceptional value.
- Combating Opioid Addiction with Analytics and Case Management
The current opioid epidemic has shed light on the shortcomings of many wellness programs and the lack of preparedness by case management teams to handle chronic conditions and or patient behavior, such as addictive tendencies or duplicate therapy. But are case management teams solely to blame for lack of effective response to this costly health crisis? The simple answer is, no.
Many case managers do not have access to the data or tools required to employ a compelling and value-driven prevention model. Hence, what we see today is very little accountability or effective case management. What’s needed most is quality data to guide active engagement with patients.
- Targeting Doctor Shopping, Prescription Abuse With Analytics: Population Health Lessons from the Front Lines
In recent years insurers and brokers have had to adapt to rising healthcare costs without much say in the matter. This is in part because brokers and employee benefit managers often have too much on their plates to sleuth out and address the costliest “blind spots” in health coverage. This has left many struggling to find a way to remain competitive in an increasingly technology-driven industry.
- Three of the Costliest Health Conditions Ravaging Your Health Plan, and Steps for Prevention
High-cost claimants are only a part of the equation. There is a secondary subset of the insured population who are at-risk of entering the 5-7% of highest cost claimants that predictive modeling can uncover and help address. Not all predictive modeling engines have the capability to identify this subset of the employee population, but with Advanced Plan for Health’s Poindexter’s predictive modeling capabilities, determining the likelihood of an occurrence of coronary events, neurological events, orthopedic events and chronic kidney disease is made easy. Once interventions are made to improve the health of at-risk patients, the analytics system can retrospectively report actual cost versus the original predictive model to measure the positive health and financial effects the interventions created. Without the predictive-modelling enabled ability to identify those at-risk and intervene with targeted prevention strategies, health plan optimization will always be an uphill battle.
Displaying: 1 - 10 of 44