Best Practices for Data Governance in Healthcare

Sponsored by
Syntellis

Healthcare organizations have spent years collecting huge amounts of data and struggling to use it to advance the mission. Leaders wonder whether data analytics, reporting, machine learning, or artificial intelligence designed for healthcare will unlock the secret insights hiding in billions of data points –   many learn the hard way that there is no silver bullet for leveraging data. 

The trick is a changed mindset. 

Leading hospitals and health systems are rethinking their approach to leveraging healthcare data and adopting a data governance mindset. Data governance includes guidance around the people, processes, and technologies involved in collecting and using data.  

Read the e-book to learn about data governance from healthcare leaders and experts, including how organizations:

  • remove data silos
  • collect the right information
  • share insights to improve operational and clinical performance

How-to Guide: Strategic Outsourcing During a Staffing Crisis

Sponsored by
Conifer Health Solutions

A shortage of clinicians isn't the only staffing issue hospitals are experiencing. Revenue cycle teams have also been impacted. According to one recent survey, 55% of healthcare finance leaders say they have a shortage of billing specialists and 42% said they have a shortage of patient follow-up staff.

While hiring more revenue cycle staff could help, that's increasingly not an option in today's highly competitive market. One solution to mitigate these challenges - strategically outsourcing the revenue cycle management.

Remote Monitoring of Heart Failure Patients

Sponsored by
Vizient

Exploring heart failure and the technology that powers remote monitoring for patients in advanced stages.

Heart failure is a nationwide problem that affects nearly six million people, and approximately 670,000 Americans are diagnosed with heart failure annually. Heart failure is a pervasive health issue – and a costly one. The most notable cost of heart failure is readmissions – a cost that can occur often for some patients. The good news is that combining traditional treatments with remote cardiac monitoring can help curb some of these costs and benefit both patients and clinicians.

Download this content to learn:

  • How to integrate technology into heart failure treatment plans
  • Clinical and financial benefits of implementing remote monitoring programs

Infographic: Are You Part of the ACO Realizing Equity, Access, and Community Health (REACH) Model?

Sponsored by
Bamboo Health

The ACO REACH model is an integral component of CMS’s strategy to redesign primary care as a platform to drive reductions in costs while addressing the issue of health equity in our country.

As new entities enter the ACO REACH model, some will succeed and other may fail. While only time will tell its true impact on the healthcare industry, the difference for ACO REACH model participants will be on how they execute on the ground level. 

In downloading this infographic, learn how collaborating across the care continuum will be a critical driver of success in truly supporting proactive patient engagement and care interventions.

2 Keys to Managed Services Program Success

Sponsored by
AMN Healthcare

The crucial importance of effectively managing talent requires organizations to make informed and balanced decisions about innovations that address their immediate workforce needs while also aligning with their long-term goals. Actively engaging in the design process and conducting a thoroughly planned implementation utilizing sound change management protocols will help ensure buy-in, adoption, and success of a strategic initiative such as a managed services program.

This eBook, 2 Keys to Managed Services Program Success, walks you through the high-level concepts for innovation design and the eventual implementation process.

ROI from AI: Unlocking Scarce Capacity in Health Systems

Sponsored by
LeanTaaS

Hospital C-Suites/system leaders are under a tremendous amount of pressure to continue serving a growing number of patients in their communities despite staffing shortages and resource constraints. While the pandemic contributed to unforeseen strains on the healthcare system it also amplified, and inspired, the need for innovative solutions to address operational challenges of matching supply and demand that other industries tackled years ago. 

 

So how can healthcare leaders who are charged with “doing more with less" meet these increasingly high demands? The answer lies in leaning into what other resource-intensive industries like airline, package delivery, and rideshare have successfully achieved: adopting machine learning, AI, and predictive and prescriptive analytics to drive operational decisions. 

 

Sounds too good to be true? It's not. Fortunately you can “stand on the shoulders” of your industry peers that have adopted AI:

In operating room operations and generated a $40 million in contribution margin for their health system (which translated into a 10x+ ROI)

In infusion centers that decreased infusion patient wait times by 30%, and delivered an average increase of $20,000/infusion chair per year

In patient flow management, where a health system achieved an 8% decrease in opportunity days, the equivalent to $8 million in ROI during the pandemic

 

Access the white paper today to learn more.

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