Aleksandr Kainzlov

Healthcare Business Intelligence (BI) is transforming the landscape of patient care and operational efficiency within healthcare organizations. By integrating complex data analysis into healthcare decision-making, BI tools are enhancing patient outcomes, streamlining operational processes, and optimizing financial performance. This revolution in

As healthcare leaders look toward 2025, they face the urgent need to adapt to evolving trends, including a shift toward value-based care, increased dependence on data analytics, and significant advancements in pharmaceuticals. Financial projections for health systems indicate that strategic planning must account for changing reimbursement models

In response to the alarming maternal mortality rate of 22.3 deaths per 100,000 live births in the U.S. as of 2022, St. Luke's Health System has implemented a pioneering clinical education system. This strategy aims to improve maternal healthcare outcomes through sophisticated training for nurses, aligning with the system's perinatal

The HIMSS Analytics Maturity Assessment Model (AMAM) is an essential framework that helps health systems benchmark and improve their analytics and artificial intelligence capabilities, particularly in the ever-evolving landscape of healthcare technology. The model, originally launched in 2016, has undergone significant modernization. While its

On October 2, 2024, the Healthcare Information and Management Systems Society (HIMSS) introduced an updated version of its Analytics Maturity Assessment Model (AMAM) at the HIMSS APAC Health Conference & Exhibition. This upgraded model aims to assist health systems in evaluating and enhancing their analytics strategies, data governance, and

The recent announcement of the merger between Marshfield Clinic and Sanford Health marks a pivotal moment in the landscape of rural healthcare in the Midwest United States. This strategic alliance promises to redefine patient care, prioritize innovation, and ensure long-term sustainability in underserved communities. By merging, these two

Navigating the procurement process for artificial intelligence (AI) technologies in healthcare is a formidable challenge for industry leaders. While AI has the potential to revolutionize healthcare delivery, decision-makers must sift through an increasingly crowded marketplace filled with exaggerated claims, high costs, and complex integration

The US healthcare sector is undergoing a significant transformation, driven by the accelerating adoption of advanced technologies such as artificial intelligence (AI) and data analytics. Healthcare leaders are at the forefront of this transformation, seeking innovative ways to enhance patient care, streamline operations, and improve overall system

Balancing patient care with employee well-being is a complex challenge in the healthcare industry, exacerbated by talent shortages and increasing demands on services. This article explores whether healthcare leaders can achieve this balance by examining key themes and offering actionable insights. The Shift Towards Personalization Dual

The emergence of the Health Data Utility (HDU) maturity model, introduced by the Consortium for State and Regional Interoperability (CSRI), marks a significant step forward in enhancing healthcare interoperability across the United States. Designed to improve the exchange and utility of health information, the HDU model aims to tackle various