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Predictive Analytics And AI Trends Impacting Healthcare IT In 2021
Artificial intelligence and predictive analytics continue to make transformational changes throughout the business world. While healthcare IT is seeing some impacts from AI and machine learning, it lags behind other industry sectors in fully adopting this emerging technology. However, necessity is sometimes the mother of invention, as evidenced by the Coronavirus pandemic still ravaging the planet.
Why Healthcare Needs Analytics: 12 Challenges Arising from COVID-19
From disrupted supply chains, and the inability to adequately protect patients and healthcare personnel, to massive shortages in capacity, drugs, devices, testing kits, and supplies – the novel coronavirus pandemic has created unprecedented challenges for healthcare providers and public health.
What Is The Future Of Data And Analytics In Healthcare After COVID-19?
The amount of data collected and analyzed by hospitals and healthcare organizations across the world was already on the rise, but the global pandemic has sharpened the focus on data even more.
Why Enterprise Analytics Should Be More Like A Book, Less Like A Spotify Playlist
People like stories. We like to tell them. We like to read them. Enterprise analytics is the story of a healthcare organization. Just like the chapters in a book, enterprise analytics takes “readers” from the beginning to the end, from chapter to chapter without interruption. Whether organizations are ready, enterprise analytics is the future of healthcare: It can bring together data about finances, operations, medical assessments, the revenue cycle and more.
ITAD: Why This Facet Of The IT Life Cycle May Be The Key To Securing Healthcare Data And Empowering Innovation
Not long ago, Microsoft disrupted end users and businesses alike by announcing that Windows 7 was entering its end of life phase on January 14, 2020. As an operating system that stands as an institution due to its enduring and widespread popularity — while out of date, the program still runs on more than a quarter of the world’s desktops — Windows 7 has thrown many into a long-due upgrade process. For healthcare, however, this change may come as a particular blow.
Big Data With Big Payoff — How The Healthcare Industry Is Embracing AI To Help Save Lives
Artificial intelligence (AI) initiatives are supposed to enable us to reinvent how we do business, and, one day, transform society at large. However, the truth is that most organizations are still barely scratching the surface of AI’s potential. The biggest barrier to the success of AI continues to be an inability for many organizations to take advantage of the data they collect. Data is the lifeblood of AI; yet, according to an HBR survey, 69 percent of companies have not yet created a data-driven organization, and 52 percent aren’t even treating data as a business asset.
Accelerating The Time To Value From Advanced Analytics
Why should healthcare executives care about analytics and connected analytics in particular? Because healthcare is in a state of enormous disruption and transformation.
Healthcare Providers Must Protect Patient Data In 2020: Here’s Why
Quality healthcare is predicated on a simple principle: first, do no harm. The Hippocratic Oath serves as the sector’s centuries-old lodestar that ensures that doctors, nurses, and other healthcare providers are always working toward a singular goal of promoting positive patient health outcomes.
4 Indicators Of Hospital Inefficiencies Derived From Your IT Service Desk Analytics Metrics
The seventh annual health IT outlook survey found 48 percent of participants felt unprepared to manage and execute effective IT operations within their healthcare facility based on their current training. Yet, the core reason for an IT service desk’s existence in a hospital is to quickly and accurately resolve issues reported by end users, ranging from physicians to front-end administrative staff. Health systems can leverage their initial user issue data for proactive mitigation as well as a way to stay competitive amidst continuous marketplace consolidation.
3 Types Of Data-Driven Healthcare Campaigns To Drive New Patient Volumes
Simply put, meeting aggressive service line goals, such as increasing market share, requires a strong data foundation and a precision marketing strategy. Accountability to such goals showcases the marketing team as a revenue-generating growth machine.