Healthcare mergers and acquisitions can involve a lot of EMRs and other IT systems. Sometimes leaders feel like they have to rip and replace these systems to fully integrate organizations. However, this is not the answer, according to Dale Sanders. This report, based upon his July 2017 webinar, outlines the importance of a data-first strategy and introduces the Health Catalyst® Data Operating System (DOS™) platform. DOS can play a critical role in facilitating IT strategy for the growing healthcare M&A landscape.
Implementing Health Catalyst Products & Services
The FDA recently released guidance documents on the use of clinical decision support (CDS) and medical software that may be of concern to forward-thinking healthcare innovators who rely on these technologies to deliver exceptional care and improve outcomes. What will be the impact of this guidance on machine learning and predictive analytics efforts? How will the guidance affect timelines, costs, and effectiveness of ongoing machine learning implementation?
As healthcare delivery increasingly relies on digital innovation and support, more questions emerge about the governance of the accompanying tools and technology.
This article provides a summary of the FDA guidance on CDS, how CDS is defined, whether or not CDS is exempt from regulation, and how the FDA intends to enforce compliance. It also summarizes the FDA guidance on medical software, what software is exempt from regulation, and helps to answer some of the questions surrounding the digital health space.
Establishing a healthcare improvement initiative is just the first step toward transformation. The real work of improvement lies in sustaining it, which is why qualified change agent are essential to meaningful progress.
Change agents are trained to lead organizations in:
Case for change
Change management concepts
Cost Benefit Analysis
Health Catalyst’s Accelerated Practices Program gives change agents adaptive leadership training to guide systemwide change within their organizations. They are prepared to meet technical adaptive challenges while keeping teams engaged and productive, and, importantly, to use data analysis to improve quality, cost, and patient satisfaction outcomes.
Healthcare organizations need to make lasting, systemwide improvements to make the transition to value-based care models. Starting this work is tough, but a new tool from Health Catalyst will show the way. This 25-question assessment based on an integrate literature review of outcomes improvement research, will show how organizations are performing in five main categories:
Adaptive leadership and culture
With this information, organizations can start on the path to sustainable outcomes improvement.
Transforming healthcare takes more than just dashboards and data. It takes an entirely new approach combining best practices, analytics, and adoption of the improvement program throughout the entire organization. Which is why Health Catalyst Clinical Improvement Applications offer tools to help organizations with all three of those systems. The applications contain starter content (best practices), which includes a knowledge brief, a care process improvement map, and an outcomes improvement packet. Of course, analytics is also part of the applications in the form of precise patient registries, outcomes and process metrics, and visualizations. And finally, Health Catalyst includes deployment services to drive adoption of improvement work. This includes engagement with health system teams and sharing of insights based on work from a variety of healthcare organizations across the country and the world. Armed with a Clinical Improvement Application, a health system is in a better position to make real, meaning changes resulting in outcomes improvement for patients and itself.
Insurance premiums increase for employers and productivity decreases for employees when the workforce is unhealthy. Absenteeism increases, morale decreases, but research proves that a healthy workforce positively impacts each of these measures. An employee wellness program is a proven method for improving employee health, but the challenge is in elevating wellness program participation. Well, there’s an app for that. It’s called Get Fit Stay Fit and it was developed by Health Catalyst to motivate their employees toward healthier lifestyles. It’s actually much more than an app and the results have been so impressive, we are looking for other organizations to step up to the challenge.
The availability of healthcare IT solutions can be overwhelming and all promise to solve an organization’s most pressing issues. While typical data and analytic applications are excellent at exposing opportunities for improvement that are impacting the bottom line, most are not effective at helping the organization determine what to do to address them and improve outcomes. However, a new approach to creating analytics applications is emerging. Analytics applications that incorporate best practices clinical content along with the best practices visualizations help everyone understand the problem and the solution. These applications also enable clinicians to better understand, adopt, roll out, and execute outcome improvement initiatives with healthcare systems. Health Catalyst has deliberately created a comprehensive, dynamic suite of applications that integrate clinical content and facilitate the orderly implementation of action plans.
There’s a new trend in the healthcare industry to adopt analytics software solutions to help organizations achieve clinical and financial success. Because of the high demand for analytics, there are many players touting their ability to delivery comprehensive solutions. With so many options available, health systems need to be able to cut through the marketing hype to find tools that provide the best value for their needs. Key solutions include an enterprise data warehouse and analytics software applications (from foundational to discovery to advanced). Other considerations include the organization’s readiness for cultural change, the total cost of ownership required, and the viability of the company providing the technology.
When an analyst from another health system asked our resident analytics expert about the practical value of the Analytics Adoption Model, our expert had a lot to say. Specifically, he elaborated on the results the organization would realize, especially if they used the Adoption Model as a roadmap on their journey to become data driven. But first, they would need to adopt a late-binding data warehouse and analytics applications. With both solutions, they would be able to confidently deliver evidence-based care.
Healthcare organizations are looking to analytics applications that will help them identify and prioritize the best areas for improvement projects. Even once they choose an analytics solution, though, it’s difficult to know where to start because of all of the data health systems have stored. Two solutions will help eliminate the guesswork: a healthcare enterprise data warehouse and sophisticated analytics applications, such as the Key Process Analysis (KPA) Application. The KPA application uses the Pareto principle to find areas with highest variation and highest resource consumption. This valuable information gives health systems a starting point as they begin their journey to improve the delivery of care and reduce costs.
We have found that many customers have similar questions about how the implementation process works when rolling out a Health Catalyst Late-Binding ™ data warehouse platform and analytics solutions. So, we thought it would be useful to produce a document that we hope will answer the majority of these and other common questions. The keys for a successful Health Catalyst implementation are outlined step-by-step format.
Pre-step (most important): Identify key personnel resources needed on the health system side, 1) Implementation Planning, 2) Deploy Hardware, 3) Technical Kickoff Meeting with the Client and Health Catalyst Deployment Teams, 4) Access Source Data, 5) Install Platform, 6) Load Data, 7) Install Foundational Applications, 8) Install Discovery Applications, and 9) Install Advanced Applications
At the beginning of the project, Health Catalyst will begin a collaborative implementation planning process resulting in a timeline tailored to each project. Some projects can be accelerated, with the initial phase completed in 90 days. Your health system will have questions specific to your organization and your circumstances. We are happy to answer those in person.
Defining patient populations is an important first step when identifying opportunities for clinical improvement, but it can be a daunting one. How can a clinician easily find a specific patient population? Then, once found, how does that list turn into actionable steps that improve outcomes? In this Insight, Kathy describes how Health Catalyst helps clients define patient populations by using the Cohort Builder application and then using risk stratification, an exciting methodology that assists in identifying outcomes for specific patient populations.
Are you looking for the best way to prioritize your population health efforts? Population health management involves improving and maintaining the health of a defined subset, or cohort, of patients. Effective population health management starts with clearly defining those cohorts and determining on which clinical processes to focus improvement efforts. The Health Catalyst Key Process Analysis (KPA) application applies Pareto analysis to each health system’s data to identify the care processes, care process families and clinical programs that offer the greatest clinical, cost and safety improvement opportunities. The application determines the highest variation and highest resource consumption by integrating and analyzing clinical and financial data.
Read and watch to learn about the Health Catalyst 2.0 platform and product applications. Health Catalyst 2.0 dramatically increases the speed and effectiveness of client implementations. Featured changes include: 1) Improved automation of metadata gathering from multiple-source IT systems into the data warehouse. This means fewer client resources, fewer mapping errors, and implementation EIGHT times faster than before and 2) Scores of powerful new content-driven applications that turn all that data into action. The platform provides the ability to simultaneously automate and standardize improvements across multiple clinical and operational processes.