Cloud Computing

Silos within organizations are a criminal’s best friend. Malicious actors continue to exploit the walls that often separate organizations’ fraud and cybersecurity units.

With the expansion of digital healthcare come more accounts, logins, and data in an ever-larger cyberthreat landscape with more potential security breaches leading to fraud.

Cybercriminals have become increasingly sophisticated and now have the same skills, tools, and services as company IT teams — including the ability to use artificial intelligence (AI) and machine learning (ML) to create attacks that adapt to your mitigation efforts.

Cybercriminals have developed an industrialized attack lifecycle where application exploits and credential attacks are automated and weaponized. A successful data breach can net huge paydays for attackers, especially when healthcare data is at stake.

Financial decision support systems for healthcare organizations generally use cost accounting, a process designed to give providers insights into the cost of care and the margins of the services they provide. With the adoption of EHRs, providers are seeking cloud-based cost accounting and decision support applications that are easier to scale, deploy and support.

Healthcare is the biggest industry in our nation’s economy, with more than $4 trillion in annual spending. Therefore, understanding the financial health of healthcare is more important than ever. At the Annual JP Morgan Health Care Conference, leaders from 20 prominent health systems, representing nearly $250 billion in collective annual spend, shared their top strategies.

Many hospitals and health systems are finding themselves stuck with a decision support application that no longer meets their needs. When looking for a new solution, five important factors to consider are service levels, functionality, a unified platform, guarantees of success and the vendor’s financial security.

More personalized approaches to therapeutic development and healthcare can improve patient outcomes while increasing operational efficiencies. To bring patients to the center of their organizations, leading healthcare and life sciences organizations leverage AWS for Health to modernize their existing infrastructure for enhanced data liquidity.

Cloud tools together with AI and ML are transforming medical imaging. These solutions are empowering healthcare organizations to solve urgent radiology challenges like data accessibility, compliance, costs, and operational inefficiencies.

Health IT leaders and federal officials have spent years attempting to solve the challenges Larry Ellison says his company can fix. Many experts are skeptical. But if Oracle can make it happen, it would be a major achievement for healthcare.