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Deliver a First-Class Patient Experience with Five Financial Tactics

Marlowe Dazley

Senior Vice President and Managing Director of Financial Advisory Services

Healthcare organizations continually strive to improve each patient’s experience to ensure quality care delivery and qualify for financial reimbursements. Health systems try to optimize the patient experience through traditional methods, including better access and appointment reminders. However, organizations can improve the patient journey and deliver a first-class experience by taking a different approach—by targeting the following five aspects of the billings and collections process, providers can proactively inform patients about their financial expectations and avoid surprise bills:1. Pricing strategy.2. Charge description master management.3. Real-time eligibility verification.4. Patient cost estimation.5. Propensity to pay.

World Patient Safety Day 2021 Focuses on Safer Childbirth

Heather Schoonover

MN, ARNP-CNS, PHCNS-BC, FCNS, Clinical Ops Value Architect, Vice President

Around the world and within the United States, pregnancy and childbirth still carry grave, often avoidable risks for mothers and newborns. According to the World Health Organization (WHO), 810 women die worldwide daily from preventable causes related to pregnancy and childbirth. In the U.S., approximately 6,700 newborns die each day, comprising 47 percent of all deaths under the age of five, and two million babies are stillborn each year, with 40 percent occurring during labor.For World Health Day 2021 (September 17), the WHO is calling for action around “safe and respectful childbirth.” Individual health systems can contribute to childbirth safety improvement by leveraging their data and analytics to better understand risks to mothers and newborns within their populations and identify ways to avoid preventable harm.

The Healthcare Analytics Summit™ 2021 Virtual

The Healthcare Analytics Summit™ (HAS) 21 Virtual features internationally recognized speakers, national and global networking opportunities, and traditional HAS fun—including #Socks of HAS, quiz questions, daily scavenger hunts, prizes, and more. In addition, the 2021 global theme will take attendees on a virtual journey to three international destinations—Singapore, Dubai, and London—while exploring the digital trends and best practice experiences driving healthcare success in the new digital era.The HAS 21 Virtual world-class speaker line-up includes the following:1. Head Coach of the Golden State Warriors and two-time NBA Coach of the Year, Steve Kerr.2. AI Rana el Kaliouby, PhD, co-founder and CEO of Affectiva and pioneer and inventor of Emotion and Human Perception.3. Chris Chen, MD, CEO of ChenMed, and Brent James, MD, MStat, Clinical Professor, Clinical Excellence Research Center (CERC), Department of Medicine at Stanford University School of Medicine.

Optimize Your Labor Management with Health Catalyst PowerLabor™

Tarah Neujahr Bryan

Chief Marketing Officer

To cut costs, healthcare leaders are looking at their greatest operating expense—labor management. However, with outdated labor management systems, decision makers rely on retrospective, incomplete data to forecast staffing volumes and patient support needs. Limited workforce insight can result in misaligned staffing or worse, jeopardizing patient care due to lack of labor support. With the Health Catalyst PowerLabor™ application, part of the Financial Empowerment Suite™, decision makers have access to a comprehensive view of labor data by organization, department, team, and job role. Timely insight into current and future hospital needs allows leaders to staff to patient volume, control escalating labor expenses, and ensure optimal resources for excellent patient care.

The Secret Behind Resilient Healthcare Organizations: High Reliability

Valere Lemon, MBA, MHIA, RN, CPHQ

 Product Development, VP 

Fran Griffin, RRT, MPA

Fran Griffin & Associates, LLC

Resilience in healthcare means that organizations are continually ready to navigate disruptions of any size without sacrificing quality of care or patient and staff safety. Health systems maintain resilience by embedding the principles of high reliability into their culture, workflows, and processes. These high-reliability organizations (HROs) don’t approach reliability as a short-term project or checklist; rather, they embed the principles into every interaction and action beginning with senior leadership. As a result of a practice, not project, approach to reliability, HROs “rarely fail even though they encounter numerous unexpected events,” as authors Karl Weick and Kathleen Sutcliffe explain in their book series, “Managing the Unexpected.”

Five Practical Steps Towards Healthcare Data Governance

Health systems increasingly recognize data as one of their top strategic assets, but how many organizations have the processes and frameworks in place to protect their data? Without effective data governance, organizations risk losing trust in their data and its value in process and outcomes improvement; a 2018 survey indicated less than half of healthcare CIOs have strong trust in their data.By following five steps towards data governance, health systems can effectively steward data and grow and maintain trust in it as a critical asset:1. Identify the organizational priorities.2. Identify the data governance priorities.3. Identify and recruit the early adopters.4. Identify the scope of the opportunity appropriately.5. Enable early adopters to become enterprise data governance leaders and mentors.

Unlocking the Power of Patient-Reported Outcome Measures (PROMs)

Health systems attempt to measure an ever-increasing amount of clinical measures, these often miss the mark of what matters to patients. Patient-Reported Outcomes (PROs) are the missing link in empowering patients and helping to define good outcomes.  This article walks through how patient-reported outcome measures (PROMs) can help identify best practices and drive system-wide quality improvement. PROMs can help health systems do the following:• Serve as a guide for appropriateness and efficiency.• Lead to better shared decision-making.• Demonstrate value and transparencyThis article also discusses the effect of PROMs on providers in a culture of “one more thing,” and tips for effective implementation.

How Regulatory Compliance Supports Optimal Patient Care and Higher Earnings

Hospitals spend over $7.5 million every year on regulatory compliance. Payers, such as CMS, rely on these quality measures to evaluate health system and provider performance and determine reimbursement rates for services rendered. As a result, regulatory performance is critical to the care process and revenue stream. However, many health systems fail to meet these care standards and maximize reimbursement rates because they lack analytic insight into regulatory performance. With a data engine that tracks and submits quality measures data, leaders understand their compliance performance, gaining insight into opportunities to improve patient-centric care and value-based performance. This data-informed approach allows organizations to increase profits through peak regulatory performance and avoid financial penalties associated with underperformance.

Understanding Population Health Management: A Diabetes Example

Michael Barton

Patient Safety Operations, SVP

Diabetes is one of several chronic health conditions at the root of U.S. healthcare challenges. To improve the quality of care and costs associated with diabetes, health systems, clinicians, and patients can benefit from taking a data-centric approach to diabetes management and leveraging population health tools.Managing individual cases of diabetes require actively involving patients in their care plan, enabling each patient to monitor and understand key data, such as A1c readings, and adjust lifestyle or other factors affecting overall health. Managing diabetes across larger populations, however, is best done through the use of a data and analytics platform that can aggregate data from multiple sources and provide actionable insights. Specifically, a data platform can identify patients who aren’t up to date on tests and those at high risk for other complications, uncover variations in diabetes care across an organization, and more.

The Right Way to Build Predictive Models for the Most Vulnerable Patient Populations

Predictive artificial intelligence (AI) models can help health systems manage population health initiatives by identifying the organization’s most vulnerable patient populations. With these patients identified, organizations can perform outreach and interventions to maximize the quality of patient care and further enhance the AI model's effectiveness.The most successful models leverage a mix of technology, data, and human intervention. However, assembling the appropriate resources can be challenging. Barriers include multiple technology solutions that don’t share information, hundreds of possible, often disparate, data points, and the need to appropriately allocate resources and plan the correct interventions. When it comes to predictive AI for population health, simple models may harness the most predictive power, which allows for more informed risk stratification and identifies opportunities for patient engagement.