Although quality-reporting programs such as meaningful use provide incentives to help providers implement and use electronic health records (EHRs) to collect and report on clinical data, practices often need help deciding what data to collect, which measures to report on, and how to best use their EHRs to do so. This white paper provides you with the basic information you need to choose appropriate CQMs for your practice, and offers tips on how to use your EHR to store the data in a structured format.
• Efficient mobile strategies for reducing hospital readmissions.
• Three easy mobile use cases your organization can launch within weeks.
• Six best practices for cost-effective patient- and physician-facing apps.
Alan Manning has an intimate view of what it takes to provide an outstanding patient experience, not only because he has been COO of Derby, Connecticut–based Planetree for four years, but also because he spent several months in the hospital with his critically ill daughter. That pivotal experience, while traumatic, solidified friendships with his daughter’s nurses and brought him several years later to Planetree, a nonprofit organization started in 1978 by a patient who wanted to help hospitals deliver stronger patient-centered care practices. Planetree works with 700 organizations in more than 17 countries.
What do standard best practices for radiology look like? Without them, it is impossible for a hospital to identify the strengths and weaknesses of its current radiology services and strive for improvements.
Driving financial performance in the outpatient setting is a top-of-mind priority among senior health system leaders. But managing the differing clinical documentation methodologies and risk assessment strategies present the greatest challenges to optimizing this important source of revenue, according to a recent HealthLeaders Intelligence survey. Provider organizations are finding the ambulatory setting is still a ‘Wild, Wild West’ in terms of assessing risk, clinical documentation, coding billing and medical record keeping practices. Download this report to discover key targets to improve ambulatory revenue.
A recent Health Leaders survey sheds light on the top 5 workforce initiatives healthcare executives across the country are using for successful quality of care and labor cost improvements. Learn how these leading strategies can help your hospital.
Published By: Caradigm
Published Date: Feb 16, 2015
Many organizations joined the ACO program with the idea of using it as the first step in the transition to new reimbursement models. It’s a critical time for more ACOs to achieve the milestone of shared savings in order to demonstrate the ability to lower costs for an “at-risk” population. As best practices are emerging from early participants in the ACO program, ACOs have the opportunity to evolve their strategies in order to achieve more success.
The cyber threat landscape is dynamic and accelerating. The Domain Name System (DNS) is a vulnerability in many organizations’ defenses that malicious actors are increasingly exploiting. The following DNS best practices, when coupled with an enterprise threat protection service, will aid you in identifying, blocking, and mitigating targeted threats such as malware, phishing, ransomware, and data exfiltration.
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes.
This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
For the first time in modern history, workplace demographics now span four generations. Download this white paper for best practices on how to better understand and effectively manage a multi-generational workforce.
As the application economy drives companies to roll out applications more quickly, companies are seeing testing in a new light. Once considered a speed bump on the DevOps fast track, new tools and testing methodologies are emerging to bring testing up to speed.
In this ebook, we’ll explore some of the challenges on the road to continuous testing, along with new approaches that will help you adopt next-gen testing practices that offer the ability to test early, often and automatically.
With the application economy in full swing, more organizations are turning to Continuous Testing and DevOps development practices in order to quickly roll out applications that reflect the ever-changing needs of tech-savvy, experience-driven consumers.
Rigorous data they need, in the right formats. This forces teams to postpone their testing until the next sprint. As a result, organizations like yours are increasingly looking for ways to overcome the challenges of poor quality data and slow, manual data provisioning. They are also concerned about compliance and data privacy when using sensitive information for testing. CA Test Data Manager can help you mitigate all these concerns, so you’re positioned to achieve real cost savings.
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery.
In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to:
Use AI and ML as the new, necessary approach for testing intelligent applications.
Strategically apply AI and ML to your testing practices.
Identify the tangible benefits of continuous intelligent testing.
Reduce risk while driving test efficiency and improvement.
This webinar offers practical steps to applying AI and ML to your app testing.
The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
Welcome to the very first edition of Modern Monitoring, a collection of articles and insights designed to help IT operations and DevOps professionals deliver more resilient, supportable and high-performance IT services.
It’s perhaps a sign of the times that monitoring as a discipline is receiving much more attention within the biz tech community. And deservedly so. The new distributed application architectures being built, together with the dizzying pace of software delivery, demand new approaches in what’s traditionally been perceived as a “keeping the lights on” IT practice.
Of course, there’s no better way to consider monitoring than to draw parallels with other practices in related fields. It’s why we’ve included a couple of pieces with a distinct aeronautical flavor that discuss importance of instrumentation and contextual awareness.
The ‘80s Called… … And they don’t want their enterprise Project and Portfolio Management (PPM) tools back.
If your Project Management Office (PMO) is still relying on the same or similar processes and systems used when neon and mullets were trending, it will never keep pace with today’s market demands or shifts in technology. Six-month deployment schedules and command and control models of yesteryear are actively being replaced with continuous delivery methods and practices like agile and lean—all in the interest of driving greater customer engagement.
Published By: Evariant
Published Date: Aug 22, 2018
Health systems that implement CRM-based engagement solutions stand to achieve significant strategic gains, from acquiring and retaining patients to supporting more positive clinical outcomes to increasing referrals to member providers and practices. Driven by easy access to rich consumer data and analytic profiling, as well as patient encounter histories, CRM-based engagement centers optimized for healthcare enable health system CSRs to quickly offer personalized responses to consumer or patient inquiries via multiple in- and outbound media, including telephone, email, social, and web.
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT.
Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction.
Download this paper
Published By: Lookout
Published Date: Apr 18, 2018
Mobile security is making the role of today’s CISO more complicated than ever. Watch the webinar for a discussion of current threats, a review of mobile security solutions, and best practices for adoption and implementation.
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential.
Download this white paper to learn:
*How organizations can answer critical questions that have been impeding business success
*How the financial services industry can make great strides in security, compliance and IT
*Common machine data sources in financial services firms
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers.
For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy.
Download this report to learn:
How to reduce monitoring blind spots when creating an ITOM strategy
How to address ITOM requirements across IT and non-IT groups
Distinct layers across ITOM Potential functionality gaps with domain-specific products
Published By: Spredfast
Published Date: Aug 27, 2018
Can chatbots provide a great customer experience? Watch how top brands automate social customer service practices. You'll learn how to enhance agent workflows and use AI to better connect with the people you care about most.