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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?

Tags: Healthcare, Chronic Conditions, Benefits Package, Data Analytics, High Risk Employees, Gaps in Care, Analytics, Big Data, Employers
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.

Tags: Population Health Management, Data Analytics, Tool, Insight, Population, Poindexter, Predictive Modeling, Big Data, Trends, Healthcare, Conditions, Gaps in Care, Admissions, Readmission, Analysis, Individual health status, Costs, Risk Score, behavioral analytics, Hospital, Care Management, Health, Better Health, Lifestyle, Risk Prevention, Management, Compliance, Business, Guidance, Intervention, Benefits
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.

Tags: Telemedicine, Urgent Care, On Demand Healthcare, Healthcare, Primary Care Physician, PCP, Millenials
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. 

Tags: Feature Engineering, Data Analytics, Machine Learning, Predictive Modeling, Healthcare, Longitudinal Data, HEDIS, Phenotype
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.

Tags: Nurse, ER Utilization, Gaps in Care, Employers, Health Plan, Chronic Conditions, Analytics, Poindexter, Health, Nurse Navigators, Population Health Analytics, Population Health Management, RN, Predictive Analytics, Healthcare Analytics, Healthcare, Healthcare Informatics
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

Tags: Kidney Failure, Chronic Kidney, Dialysis, Health Plan Costs, Health Payors, Chronic Conditions, TPAs, Brokers, Consultants, Healthcare, Analytics, Cost-Saving
38th Annual National Educational Conference & Expo

APH at BOOTH 218
September 23-26, 2018
Austin, TX

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.

Tags: Self-Insured, SIIA, Healthcare, Tradeshow
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.

Tags: Opioid, Addiction, Data, Big Data, Predictive Analytics, Account Management, Health Plan, Insurers, Healthcare, Brokers, Payers, Third Party Administrators, TPA, Epidemic, Case Management, Care Management, Care Manager, Wellness Program, Group Benefits, High Cost Claimants, Costs, Chronic Conditions, Behavior, Duplicate Therapy, Rx, Patients, Advanced Plan for Health, Actionable Insight, Health Intelligence, Poindexter, Self-Insured, Health Plan Sponsors, Catastrophic Medical Events, Drug Costs, ER Utilization
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.

Tags: Doctor Shopping, Prescription Abuse, Population Health, Healthcare, Data, Data Analysis, Health Insurers, Benefits Design, Population Health Management, Member Population, PHM, Health Events, Cut Costs, Health Events, Prevention, Brokers, Employee Benefit Managers, Health Insurance Brokers, Predictive Analytics, Actionable Insight, Health Plan, Health Plan Member, Doctors, Duplicate Therapy, Poindexter, Predictive Modeling, Healthcare Costs, Self-Insured, Employer, Pharmacy, Rx, Data Analytics, RFP, Network, Data Reports, Lab Costs, Technology, Chronic Pain, High Cost Claimants, Addiction, Opioid, Cost Centers, Behavior, Behavioral Analytics, Phenotyping
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. 

Tags: Population Health, Health Plan, Chronic Conditions, Plan Costs, Employee Population, High-Cost Claimants, Diseases, Diabetes, Cardiovascular Disease, Pulmonary Heart Disease, Primary Care Physician, Healthcare, Wellness Managers, Health Outcomes, Wellness Program, Predictive Modeling, Data Analytics, Case Managers, Care Managers, Improve Outcomes, Lower Costs, Poindexter, Analytic Engine, Bottom-Line, Treatment Plan

Displaying: 1 - 10 of 44