Navigating the intersections of population health and precision medicine

Healthcare It News

Patient Engagement Population Health Precision Medicine This is the second article in a series regarding process-based opportunities as the healthcare industry begins to emerge from the challenges of the pandemic. Population health and precision medicine defined.

Healthcare Analytics and Big Data: Essential Ingredients to Improving Population Health

Health Dialog

There are many definitions of Big Data; to me it is data captured from all angles that can be combined to generate insights, predict future health outcomes, and ultimately improve outcomes through custom interventions. Big data is an essential ingredient to total population health because it enables custom interventions: Each intervention is personalized for the member with the right message, delivery channel, and timing. Delivery channel: Health coach.

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Improving Population Health Management, One Data Point at a Time

Health Dialog

Health Dialog is full of devoted employees committed to our mission of helping clients improve population health, reduce costs, and engage patients to make the best decisions about their health. Meet Renee Gulotta: As the Director of Analytics, Renee is our data whiz. With extensive experience analyzing data in different industries, she is proud to work for a mission-driven company that is committed to improving population health management.

Best Practices in Applying Analytics to Population Health Management Programs

Health Dialog

The primary goal of any population health management program is to improve health outcomes. These improvements in health outcomes should be measurable and analytics are front and center in the process to achieve this measurability. Prior to jumping into best practices in applying analytics, let’s first look at a brief overview of what needs to be measured. Health Impact: Physical, Mental/Emotional, Health Behaviors, Health Status, and Risk.

The Analytic Foundation of a Robust Population Health Management Program

Health Dialog

Most risk-bearing organizations, including health plans, accountable care organizations (ACOs), and self-funded employers deploy some form of analytical strategy to inform their approach to population health management. The primary goal of a population health management program is to measurably improve health outcomes [1]. Part of an analytic team’s role should be in unbiased evaluation of your intervention. Health impact.

How to Use Analytics to Guide the Day-to-Day Operations of Your Population Health Intervention

Health Dialog

In a previous blog post, we emphasized the three pronged analytic strategy that risk-bearing organizations should employ when implementing chronic care management and other population health programs. Teams in charge of implementing a population health intervention may be logically divided into two responsibility sets – one group responsible for implementing the program and another group responsible for evaluating the program. Healthcare Analytics

Population Health Analytics: Applying the Insights of the Care Pathways Framework

Health Dialog

In an earlier post, ( Is the High-Moderate-Low Financial Risk Model Enough to Drive Effective Population Health Management? ) we introduced Care Pathways, a population risk assessment framework that stratifies individuals into 9 clinically-relevant risk stages. For example, a diabetic patient in the onset stage of a condition requires different health management support than a diabetic who is in the late progressive stage and likely to be hospitalized in the near future.

Is the High-Moderate-Low Financial Risk Model Enough to Drive Effective Population Health Management?

Health Dialog

Traditional population stratification risk models focus primarily on the groups of individuals currently generating the greatest cost. While these methods help pinpoint individuals most at-risk for critical events and in need of immediate intervention, they do not allow for long-term goal setting and health improvement strategies for the remainder of the population. Click here to read: A Clinical Approach to Population Stratifcation Analytics.

How to Use Identification and Stratification Analytics for Effective Population Health Management

Health Dialog

In a previous blog post, we emphasized the three pronged analytic strategy that risk-bearing organizations should employ when implementing chronic care management and other population health programs. In this post, I will review the first component of the strategy we have outlined: the “ID and Strat” analytic, which is industry jargon for identification and stratification. How much financial risk do you bare for your population? Healthcare Analytics

3 Problems That Data and Analytics Can Help Solve in Healthcare

Perficient

I’m often asked how data and analytics can help to solve key industry problems in healthcare. The cost of care delivery is at the center of the problems facing the healthcare Industry. Healthcare spending accounts for ~18% of US GDP. Service Line Analytics.

Azalea Health Acquires dashboardMD for Integrated EHR?based Business Intelligence

HIT Consultant

What You Should Know: – Azalea Health Innovations Inc. dashboardMD President and CEO Jose Valerowill remain as Azalea Health’s CEO and Valero will assume leadership of Azalea’s advanced data analytics, Azalea Insights, as Director of Analytics.

3 Key Considerations for Implementing IBM’s Unified Data Model

Perficient

Healthcare organizations have been implementing the IBM UDMH (Unified Data Model for Healthcare) for the last seven years because they realize that connecting critical data helps gain insight into improving care, controlling risk, managing population health and providing accurate reporting both internally and externally. The post 3 Key Considerations for Implementing IBM’s Unified Data Model appeared first on Healthcare.

Healthcare Data & Analytics Platforms: Shifting from Siloed Capabilities

HIT Consultant

Historically, analytics capabilities for healthcare organizations have been offered in siloed solutions. The good news is that as organizations’ analytics needs have expanded, so have vendor offerings. What’s Next for Data & Analytics Platforms?

How cost-effective are workplace wellness programs? The debate over lifestyle management vs. disease management in wellness programs

Health Dialog

The Wellness Programs Study from the Rand Corporation , which included almost 600,000 employees at seven different employer organizations, shows that the two programs combined reduced an employer’s average healthcare cost by approximately $30 per member per month (PMPM), but that “disease management accounted for 87% of those savings.”. Programs range from a basic disease management service that meets NCQA requirements to a more comprehensive total population health management solution.