As an executive-level guide to consumerism in clinical integration, A New Meeting Place offers critical insights into healthcare consumerism as it relates to convenience of care, technology integration, and pricing competition and transparency.
Creating a successful patient experience strategy is a long-term investment in planning, surveying, training, and technology. Healthcare organizations hope these efforts will pay off at the very least with a growing base of loyal patients, better care quality, and stable reimbursement. And then there are those organizations that are turning patient experience into a movement. What’s their endgame? They intend to build state-of-the-art service-oriented cultures that rival other industries, and they are doing it through data analytics, unique communication programs, radical cultural shifts, and consumer-centric technologies.
In today’s healthcare landscape, technology is instrumental in facilitating the strategies of healthcare business leaders. Technology also provides these executives with access to the critical data that they need for decision making, planning, and forecasting.
Hospital communications used to be a lot simpler. If you needed to find a doctor, you could dial 0 and the operators would connect you or send a page on your behalf. People communicated through paper charts, wrote key phone numbers on grease boards, and kept on-call schedules in binders. Some of this still happens today, but communications across healthcare have become progressively more convoluted. The use of diverse mobile devices (smartphones, tablets, pagers, Wi-Fi phones, etc.), and the rise in care complexity necessitating care team coordination mean more sophisticated communication technology is required.
How can providers and insurers reduce costs and increase patient satisfaction? In the evolving value-based care (VBC) model, better healthcare IT is a must have. L.E.K.'s Joseph Johnson and Harsha Madannavar identify key success strategies in our latest Executive Insights.
Published By: McKesson
Published Date: Apr 30, 2015
Building a data-driven organization takes more than technology. And, healthcare leaders can all agree that issues facing today’s industry are daunting; determining how to react in a way that matches your organization’s strengths and vulnerabilities may be even more challenging. With the right resources in place, you can take pragmatic steps to reduce data silos and deliver efficient, coordinated care across all your settings.
Published By: McKesson
Published Date: May 27, 2015
The shift to value-based care creates a sharp increase in healthcare organizations and networks’ need for data collection, aggregation and analysis. This white paper outlines the challenges involved with performing population-level analyses, developing cost accounting and profitability analyses across care settings, evaluating care episodes and integrating quality data. It explores the limitations of targeted software solutions to provide cross-enterprise insights. Finally, it provides advice for healthcare executives regarding how to approach gathering quality and cost-related data and how to leverage technology and analytical expertise to drive risk-based contract success.
Published By: Red Hat
Published Date: Sep 09, 2018
As applications and services become more central to business strategy, and as distributed methodologies like agile and DevOps change the way teams operate, it is critical for IT leaders to find a way to integrate their backend systems, legacy systems, and teams in an agile, adaptable way. This e-book details an architecture called agile integration, consisting of three technology pillars—distributed integration, containers, and APIs—to deliver flexibility, scalability, and reusability.
As legacy ERP data structures and technology begin winding down, they are making way for a whole new generation of technology that brings exponential performance and dramatically new problem-solving capabilities.
Download the whitepaper to discover the demands driving this evolution, explore the potential promised by next-gen ERP, and learn why ‘playing it safe’ is no longer an option.
Leading companies are making digital transformation a reality put data and intelligence at the center of their future. They are building new capabilities, skills, and technology, and evolving their culture to transform into an ‘Intelligent Enterprise’ and achieve the aforementioned outcomes. These companies are not only delivering short-term value to shareholders, but are also positioned to thrive and transform their industry.
Explore how SAP can help you navigate the journey to the Intelligent Enterprise.
Published By: Zendesk
Published Date: Jun 29, 2018
In the global market for customer service software, Zendesk is once again recognized as a leader in the 2018 Gartner Magic Quadrant for the CRM Customer Engagement Center.
Every year, Gartner conducts a thorough analysis of service providers in the customer service and support application space. We believe the Gartner Magic Quadrant for the CRM Customer Engagement Center report provides valuable information for business leaders who seek technology solutions for interacting and engaging with their customers.
Zendesk can again be found in the 2018 report’s Leader quadrant, which we consider a reflection of the success of our 125,000 customers, including enterprise clients like Airbnb, Tesco, and the University of Tennessee. The past year alone has included a number of significant milestones for us, including the release of AI-enhanced features for self-service and surpassing $500 million run rate in revenue. As our customer base continues to grow, we strive to be a dynamic vendor for bus
"Businesses continue to evolve as digital technologies reshape industries. The workforce is mobile, and speed and ef ciency are imperative, necessitating dynamic, cloud-based infrastructures and connectivity, as well as unhindered, secure application access — from anywhere, on any device, at any time. Leaders must remove hurdles to progress, but new business initiatives and processes increase the attack surface, potentially putting the company at risk.
"Traditional remote access technologies—like VPNs, proxies, and remote desktops—provide access in much the same way they did 20 years ago. However, new and growing business realities—like a growing mobile and distributed workforce—are forcing enterprises to take a different approach to address the complexity and security challenges that traditional access technologies present.
Read 5 Reasons Enterprises Need a New Access Model to learn about the fundamental changes enterprises need to make when providing access to their private applications."
Defining the Data Lake
“Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
Business applications have become the battleground for customer loyalty. To compete, IT organizations are under pressure to deliver applications faster and with higher quality. Continuous Delivery (CD) of code offers a solution. CD may be paired with DevOps, Agile and other methodologies. However, QA and testing can be an obstacle to CD’s rapid development and deployment of high quality code. Testers and developers must engage in Continuous Testing, continuously testing software for performance, quality and user experience as it’s being developed.
Continuous Testing is not a push button process, though. It requires a comprehensive approach. This paper outlines the common challenges to Continuous Testing and highlights results from real users who have used technology to get to succeed with the Continuous Testing process.
Modern solutions like CA PPM continue to raise the bar above last-generation IT demand management tools, continuously providing new features to ease the burden of the PMO, the financial manager, the resource manager and the product manager.
In the last few years, new vendors looking to exploit the large and increasingly influential project and portfolio management (PPM) market have developed modules that “snap” into their SaaS platforms. These vendors claim their tools are easy to install, easy to manage and save customers money. It sounds too good to be true. And for most organizations, it is.
Carefully consider whether you need a PPM solution that is only capable of providing low-level functionality for the project manager, or if your organization could benefit from PPM technology that provides 360-degree optics across your organization, delivers actionable business intelligence and enables extensive modeling and forecasting capabilities to make data-driven business decisions.
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.
In the digital era, businesses in every industry are becoming technology companies. New business models such as
“product as a service” (in which traditional manufacturers and distributors are driving new revenue streams by
integrating software-based services into their offerings) and new operational models, such as collaboration, social
business, and mobile platforms, mean that nearly every company is deriving at least part of its revenue from cloudbased
So, why are so many of these new cloud solution providers building their businesses on shaky foundations? The
truth is, when your business is based in the cloud, you need more than on-demand leased compute and storage
capacity. You need a cloud that is enterprise-grade, secure, and resilient. Equally important—and overlooked by
too many cloud solution providers—you need a cloud platform that is able to grow your business into the future,
supporting next-generation functionality like Artificial Intelligence (AI). No matter wh
The Summer 2018 security report is about change: what’s new and unusual in DDoS attacks, where are the surprising data patterns, and how should enterprises and security professionals prepare for the unexpected. Looking back at November 2017 to April 2018, as well as year-over-year changes, Akamai analysts identified data trends that spotlight the new and unfamiliar. The Summer 2018 State of the Internet / Security: Web Attacks report covers atypical attack methods, credential abuse attacks and law enforcement prosecution of DDoS-for-hire platforms. Guest writer Rik Ferguson also explores future threat scenarios.
Finally, the Integrate SID for your records (and in case you need it) for this program is: 0E9175.
Anything else you need to hit the ground running with this program?
Whilst businesses of all kinds are utilizing data analytics, many are still only using it to make simple changes that lead to a set of rigid processes. Whereas the more customer-focused organizations are realizing that to deliver exceptional experiences, they need to be able to react to customer data in real-time and predict what might happen next. And that means going beyond simple analytics.
Read our whitepaper to discover what analyst firm Forrester has identified as the Enterprise Insight Platform, technology designed to enable companies to transform into truly data-driven businesses.