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Hospital leaders now look to technology to help them reduce administrative burden and physician burnout while at the same time improving both revenue integrity and patient care. This is good news for physicians because real time AI technology can help them better capture the patient’s story up front, within the EHR workflow, helping them avoid …

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Healthcare organizations recognize the value of SDOH data but simply have no idea where to start. They understand that SDOH factors can improve health outcomes and minimize medical costs, but they often do not fully understand what SDOH data to use to maximize the accuracy of predictive analytics or how to integrate the data into …

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Managing the health of patient populations through effective risk stratification is vital to successful value-based care programs. To raise the bar on patient risk stratification, many hospitals and health systems have turned to Interventional Analytics to identify which patients are at the highest risk for adverse events, hospital admissions, and readmissions. In this issue brief, …

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Can you remember the last time you’ve had to solely rely on calling your doctor’s office to schedule an appointment? While this was once the norm, this now can be viewed as an old-school inconvenience. It’s becoming more and more common to book appointments directly online, along with with viewing ratings, credentials, and accepted insurance. …

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While digitally transforming clinical research holds great promise, it is a complex undertaking. Managing the volume and variability of healthcare data is challenging for life sciences organizations looking to modernize clinical trials. From IoT to data management to high-performance computing and machine learning, leading life sciences organizations are using Amazon Web Services (AWS) to develop …

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The debate over prior authorization is particularly important in oncology, where rising drug costs and daily advances in research and emerging therapies make it difficult for health plans to ensure their members are getting the right treatment at the right time. Is Prior Authorization the Best Approach for Oncology? explores the following: An overview of …

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As clinical trial complexity increases, trial sizes grow, and data variety and volume explode, this problem is only growing worse. For sponsors and CROs who are experiencing this challenge, within and across studies, a clinical data and analytics hub built on big data, data lake architecture offers great promise. This article explores how a data …

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A proactive approach for effective clinical supply management is essential for reducing the risk of supply-related delays, stock-outs, and excess inventory. Utilizing simulations to performing “What If” scenario planning for demand forecasting is a powerful, insightful supply chain management tool, particularly for complex studies with multiple variables. However, forecasts are only as good as the …

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Learn How to Slash Your Spending by Failing Faster Pharma and biotech companies waste billions of dollars—and years of research—developing drugs that will never make it to market. This article examines the skyrocketing cost of drug development and provides step-by-step guidance for executing a successful fail fast strategy. You’ll learn: The top benefits of a …

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Getting the attention of busy physicians and hospital executives is more challenging than ever for medical device manufacturers across the globe. Doctors are busier and have less time to see patients, let alone talk to a sales representative. Successful medical device marketers have learned how to harness the power of digital to achieve their key …

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As the U.S. shifts to value-based care models, getting reimbursement claims accurate from the get-go becomes ever more important. Driving Payment Accuracy is of critical importance to many health plans. It’s important to understand how the market is evolving, how to take advantage of best practices, and how to avoid common pitfalls associated with some …

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Achieving a more complete view of member health status is vital for risk adjustment. First, the industry relied on claims and pharmacy data to develop analytical models to calculate member risk and identify missing Hierarchical Condition Categories (HCCs). More recently, innovative healthcare organizations have identified ways to incorporate encounter data into risk modeling. Now it’s …

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