Showing contents for:

Technology

Health Catalyst Recommends

Technology - Recently Added

Short on time? We've picked the best content for you to start with.

The Powerhouse Data Analytics and Visualization Tool That Excels

There are many advanced tools that come to mind when considering healthcare data analytics and visualization. Microsoft Excel may not necessarily make the list, but it has distinct advantages, the least of which are that it’s already installed on your system and that you already know how to use it. Healthcare finance folks already know the capabilities of Excel when it comes to quantitative analysis. Excel also deserves a place on the podium when it comes to pulling data from the warehouse and from various source marts. Excel pivot tables are extraordinary for providing ad hoc analysis. And when preceded by dimensional modeling—with the help of Health Catalyst’s data architects—Excel can easily transform large datasets. This article summarizes all of the surprising features that Excel brings to the data analytics and visualization table.

Read More
My Folder

Healthcare Information Systems: A Look at the Past, Present, and Future

Healthcare information systems are integral to hospital operations and clinical care for patients. In the 1960s healthcare was driven by Medicare and Medicaid and HIT developed shared hospital accounting systems. In the 1970s communication between departments and individual transactional systems became important. DRGs drove healthcare in the 1980s and HIT needed to find ways to pull both clinical and financial data in order for reimbursements. The 1990s saw competition and consolidation drive technology to create IDN-like integration. In the 2000s outcomes-based reimbursement became the drive behind developing real-time clinical decision support. For the future, ACOs and value-based purchasing means that CIOs will need to implement data warehouses and analytics application to provide the insights to drive performance improvement necessary for hospital survival.

 

Read More
My Folder

Technology - Additional Content

Spend time reading content for you

Seven Ways DOS™ Simplifies the Complexities of Healthcare IT

Health Catalyst Data Operating System (DOS) is a revolutionary architecture that addresses the digital and data problems confronting healthcare now and in the future. It is an analytics galaxy that encompasses data platforms, machine learning, analytics applications, and the fabric to stitch all these components together. DOS addresses these seven critical areas of healthcare IT:

  1. Healthcare data management and acquisition
  2. Integrating data in mergers and acquisitions
  3. Enabling a personal health record
  4. Scaling existing, homegrown data warehouses
  5. Ingesting the human health data ecosystem
  6. Providers becoming payers
  7. Extending the life and current value of EHR investments
This white paper illustrates these healthcare system needs detail and explains the attributes of DOS. Read how DOS is the right technology for tackling healthcare’s big issues, including big data, physician burnout, rising healthcare expenses, and the productivity backfire created by other healthcare technologies.

Read More
My Folder

The Top Three Healthcare Financial Trends in 2017: Payment Transitions, Disruption, and New Skills

Influential healthcare financial trends in 2017 emerged in three areas:

  1. Transitions in payment.
  2. Disruption from familiar players and newcomers.
  3. Emerging data skillsets.
Uncertainty has been a common theme for 2017. Organizations continue waiting for clarity on the future of the Affordable Care Act (ACA), while working to implement value-based care. Changes from established healthcare organizations as well as the arrival of prominent newcomers (e.g., Amazon) add to the unsettled outlook, as do emerging data skillsets. Amid the uncertainty, however, healthcare is clearly continuing on the path to patient-centered care. Organizations best positioned for 2018 will understand their performance in 2017’s top three healthcare financial trends as they evaluate their preparedness for the coming year.

Read More
My Folder

A Behind-the-Scenes Look at Healthcare IT Analyst Rankings and Reports: What You Should Know

Healthcare leaders often turn to healthcare IT analyst rankings and reports for information that drives vendor-related decision making. Knowing the key differences between several notable healthcare and cross-industry IT analysts—what methodologies they employ to gather data, their missions and goals (ranking vs. consulting), and how much of their own opinions they interject (unbiased vs. opinionated)—will help healthcare leaders be more educated consumers of the reports and rankings that saturate healthcare. This article provides a high-level overview of the key differences between several healthcare IT analysts:

  • KLAS Research (ranking focus)
  • Black Book Rankings (ranking focus)
  • Chilmark Research (ranking and consulting focus)
  • Advisory Board (consulting focus)
It also looks at the most notable cross-industry IT analysts that apply a healthcare-specific lens to their findings:
  • Gartner
  • International Data Corporation
  • Frost & Sullivan
Healthcare leaders with the ability to interpret these rankings and reports to extract the information they need, will make them more effective decision makers.

Read More
My Folder

How to Use Text Analytics in Healthcare to Improve Outcomes—Why You Need More than NLP

Given the fact that up to 80 percent of clinical data is stored in unstructured text, healthcare organizations need to harness the power of text analytics. But, surprisingly, less than five percent of health systems use it due to resource limitations and the complexity of text analytics. But given the industry’s necessity to use text analytics to create precise patient registries, enhance their understanding of high-risk patient populations, and improve outcomes, this executive report explains why systems must start using it—and explains how to get started. Health systems can start using text analytics to improve outcomes by focusing on four key components:

  1. Optimize text search (display, medical terminologies, and context).
  2. Enhance context and extract values with an NLP pipeline.
  3. Always validate the algorithm.
  4. Focus on interoperability and integration using a Late-Binding approach.
This broad approach with position health systems for clinical and financial success.

Read More
My Folder

Healthcare Information Systems: A Look at the Past, Present, and Future

Healthcare information systems are integral to hospital operations and clinical care for patients. In the 1960s healthcare was driven by Medicare and Medicaid and HIT developed shared hospital accounting systems. In the 1970s communication between departments and individual transactional systems became important. DRGs drove healthcare in the 1980s and HIT needed to find ways to pull both clinical and financial data in order for reimbursements. The 1990s saw competition and consolidation drive technology to create IDN-like integration. In the 2000s outcomes-based reimbursement became the drive behind developing real-time clinical decision support. For the future, ACOs and value-based purchasing means that CIOs will need to implement data warehouses and analytics application to provide the insights to drive performance improvement necessary for hospital survival.  

Read More
My Folder

The Powerhouse Data Analytics and Visualization Tool That Excels

There are many advanced tools that come to mind when considering healthcare data analytics and visualization. Microsoft Excel may not necessarily make the list, but it has distinct advantages, the least of which are that it’s already installed on your system and that you already know how to use it. Healthcare finance folks already know the capabilities of Excel when it comes to quantitative analysis. Excel also deserves a place on the podium when it comes to pulling data from the warehouse and from various source marts. Excel pivot tables are extraordinary for providing ad hoc analysis. And when preceded by dimensional modeling—with the help of Health Catalyst’s data architects—Excel can easily transform large datasets. This article summarizes all of the surprising features that Excel brings to the data analytics and visualization table.

Read More
My Folder

No More Excuses: We Need Disruptive Innovation in Healthcare Now

U.S. healthcare is one of the most technologically advanced industries in the world, yet it has such a difficult time transforming some of its most mundane problems (cost, quality, and service). With these problems, we are not so different from many other industries, so we should be able to learn from the individuals and industries that have succeeded in finding answers. At the same time, we need to recognize that healthcare is incredibly complex, so we need to search within for barriers that prevent disruption and innovation. The future of healthcare lies in technology, but more importantly, in our ability to pave the way for its implementation starting right now.

Read More
My Folder

Factoids Reveal Healthcare Trends in Analytics and Technology

We hand-picked the most interesting, useful, credible factoids from 2015 (including the plethora of facts that came out of the 2nd Healthcare Analytics Summit) to create an easy-to-share presentation. The 32 factoids included in this presentation revealed several interesting healthcare trends:

  • Trend #1: Healthcare analytics continue to improve outcomes and save money. For example, OSF’s predictive readmission model reduced its all-cause readmission rate to less than 10%.
  • Trend #2: New technologies are improving patient engagement. For example, 73 percent of health executives surveyed see positive ROI from personalization technologies, and 76 percent of doctors say patient use of wearable health devices improves engagement.
  • Trend #3: Patients and providers agree on data is useful but have security and interoperability concerns. For example, 83 percent of patients don’t trust EHR safety and security, and 83 percent of physicians are frustrated by EHR interoperability.
Although a majority of healthcare leaders understand the importance of using analytics to improve outcomes and reduce costs, only 15% of hospitals use predictive analytics. We hope to see analytics use increase in 2016, and we’re excited to see how technology will continue to engage patients and lead to better health outcomes.

Read More
My Folder

Top 7 Healthcare Trends and Challenges from Our Financial Expert

As the healthcare industry moves closer to value-based care, there are a lot of projections about the changes that will occur in the near future. This article discusses seven of the top trends the industry is focused on: (1) physicians start to feel the financial impact of CMS’s rules; (2) the use of technology in healthcare is exploding; (3) financial viability is a key concern for CEOs; (4) reducing exposure to risk performance is becoming more important; (5) interest in population health management continues to grow; (6) outcomes improvements will continue to increase; and (7) collaboration between providers and payers will increase.

Read More
My Folder

From Ski Industry Management to a Career in Healthcare Information Technology: How Improving Healthcare Became a Skier’s Passion

Not all healthcare information technology experts know what they want to be when they grow up. Some detour down other career paths first. That’s what happened with Greg Miller. But after fortuitously meeting with a healthcare CIO to explore career opportunities, he discovered a passion for healthcare transformation. Then he went on to find a company that made his dreams possible.

Read More
My Folder