AI for Population Health Management: Assessing Risk, Building Trust, and Driving Better Outcomes
Artificial Intelligence (AI) is increasingly leveraged by healthcare organizations seeking to improve patient care while reducing costs. Used as a predictive tool, AI can identify at-risk and emerging-risk populations, enabling limited clinical resources to target patient populations that will most benefit from — and respond to — hands-on intervention.
The Social Determinants Of Health: Improving Population Health with Data-Driven Insights
The social determinants of health (SDOH) are increasingly recognized as critical drivers of health and well-being. SDOH data can help healthcare providers and health plans better understand and manage a variety of chronic conditions including diabetes, asthma, opioid addiction, and high-risk maternity, and are used to improve overall patient health and wellness. The key is to find the right data, understand its relevance, and apply it directly to patient care. In this white paper, ZeOmega, with the Center for Open Data Enterprise (CODE), presents a new approach to improving population health outcomes by applying public and proprietary data sources to the identification and addressing of SDOH needs.
High-performance Rules Engine for Population Health Management (PHM)
Success in the value-based care (VBC) arena depends on the help of an extremely smart population health management (PHM) platform — one that is driven by advanced intelligence housed in a business rules engine. Yet, many health plans overlook the importance of a business rules engine when investing in a PHM platform, a potentially costly mistake that can worsen performance. Read this white paper to learn why Jiva has the best rules engine in the industry and how it will help your organization rise above VBC challenges.
Optimize Care Management and Compliance with First-Tier, Downstream, and Related (FDR) Entities Under Medicare Advantage
Vendors providing services to Medicare Advantage (MA) members are known as FDR’s: first-tier, downstream, and related (FDR) entities. With each year that passes, the list of FDR vendors grows, which creates new challenges. Adding vendors and services makes the sponsor’s job of coordinating care more complex. Also, operational compliance becomes difficult when dealing with a plethora of moving parts. Read this white paper to learn how Jiva helps MA plans overcome these challenges and improve overall care management.
Manage the Complex Long-Term Services and Supports (LTSS) Population Leveraging Population Health Management Technology
As baby boomers age and technological innovations give the disabled and elderly greater independence and longevity, the need for long-term services and supports (LTSS) continues to grow. But, striking the right balance between care quality and financial viability is far from easy. Read this white paper to learn how Jiva helps health plans overcome various LTSS challenges, connecting the diverse networks of LTSS caregivers in the home and community while making care economics sustainable over the long term.
How Health Plans and Providers Can Collaborate to Improve Care Transitions and Reduce Hospital Readmissions
The annual cost of readmissions for Medicare is about $26 billion while avoidable readmissions cost Medicare almost $17 billion in excess spending. With the rising desire of commercial plans; Medicare Advantage plans; and health systems to engage in value-based contracts, it is imperative that health plans and providers work together to reduce readmissions. Read this white paper to learn how collaboration is possible and why it serves as a first step forward.
Transforming Behavioral Health Care Management
Behavioral health (BH) conditions affect a significant percentage of the country’s population. Despite this prevalence, many BH sufferers remain undiagnosed or unable to obtain appropriate care. But—with the right solution—greater health is possible. Read this white paper to learn why health plans managing BH need a robust solution that facilitates interdisciplinary and cross-organizational coordination while seamlessly aggregating and reconciling patient information from disparate sources..
Clinical Data Integration for Health Plans: Top 5 Challenges and Solutions
Even though the use cases and benefits of integrating clinical data are relatively clear, the pathway for effectively implementing a clinical data integration strategy can be challenging. Learn the top five obstacles health plans face when integrating clinical data and potential solutions for overcoming them.
Enrich Care Plans to Improve Population Health Management
Payers have been relying on claims data for care management, but the process is limiting. Incorporating EHR data will greatly improve care plans and care management. Read how innovative technology helps payers access, ingest, aggregate, and integrate clinical data to enrich care plans for better population health management.
The Role of Centralized Care Management in Value-based Care
As health systems assume more care management responsibilities in value-based arrangements, a centralized platform with comprehensive care management capabilities can accelerate their success.
Fourth-Generation Interoperability for Value-based Care
Learn how fourth-generation interoperability solutions that focus on clinical/financial systems integration, population health management, and performance management offer the greatest promise for overcoming interoperability obstacles and efficiently transitioning to value-based care.
Patient-Centered Risk Assessments – A Key Ingredient of Value-Based Care
Discover how integrated patient assessments can help you understand the whole patient for more impactful care plans, increased engagement, and improved outcomes.
The Value of an Advanced Predictive Analytics Approach in Population Health Management
Learn how the predictive power of advanced predictive analytics creates value and raises ROI for healthcare organizations in the value-based care paradigm.
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