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Posts in "big-data"
  • Analytics Are Nothing Without Action

    March 16, 2017 Editorial Team in Big DataFeaturedMedeAnalytics

    Although the investment in health IT innovations continue to rise, with 56 percent of providers investing in IT this year, there still remains a disconnect on how to best leverage the data and insights that organizations have at their disposal. With a new healthcare economy focused on value, provider consolidation, consumers and changing reimbursement models, healthcare organizations need a holistic, enterprise-wide view of their business. They also need valuable data insights to tap into cost savings opportunities.

    In this week's post, we continue to offer best practices that healthcare organizations can utilize to make the most of their analytics’ investments and turn those insights into action. Here are three key strategies that can make a significant impact on an organization’s financial health:

    • Offer Self-Service Access to Business Users: In many cases, organizations have invested in creating an enterprise data warehouse, but the adoption of the platform is often delayed due to IT bottlenecks in reporting and analysis. By empowering business users with the ability to perform their own analysis to identify the root causes of trends, the speed from insight to action will increase.
    • Find New Value in Existing Claims and Billing Data: Most data warehouses focus on aggregating clinical data from EMRs, but many healthcare organizations fail to recognize the potential in claims and billing data. Most data models are built on this type of data, so their value should not be underestimated. Organizations should also recognize that most risk models and clinical measures, including CMS quality measures and HEDIS measures, are based largely on this data. By using this insight, organizations can better prepare for the changing risk models and clinical measures.

    • Learn to Work with Payer Data: As new payment models blur the lines between providers and payers, leveraging payer data has never been so important. By creating a data infrastructure and training your staff to manage and analyze payer data, organizations can develop analytics for utilization measures and per member per month (PMPM) cost. These insights can help support new business models and uncover nuances to create added value across the enterprise.

      To obtain more strategies, check out our latest whitepaper, Harnessing Enterprise Data Analytics for the New Healthcare Economy, here.  Learn more about integrated analytics for the healthcare enterprise here.

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  • Enterprise Analytics and Beyond: A Q&A with our Vice President of Healthcare Provider Solutions

    March 7, 2017 John Hansel in Big DataFeaturedMedeAnalyticsPayment Reform & Value-Based PurchasingValue-Based Care (VBC)

    In a previous blog, we explored the important approaches and best practices that the payer industry needs to keep in mind to succeed amidst a climate of uncertainty. For this week’s blog post, we are exploring top provider concerns in a conversation with John Hansel, our vice president of healthcare provider solutions. During a Q&A, John shared his perspectives on the challenges that lay ahead for providers and the continued importance of investing in Enterprise Analytics (EA) strategies in today’s rapidly changing healthcare environment.

    1. Major healthcare industry transformations will happen in 2017 but what will remain constant? And how can an EA strategy help organizations prepare?

    Collaboration between payers and providers will be important regardless of any potential repeal and replace of the Affordable Care Act (ACA). Since the ACA passage, providers have assumed more risk which has led them to acquiring or establishing health plans to help manage and ease the financial burden. In fact, PriceWaterhouse Coopers estimates that 50 percent of health systems have applied or intend to apply for an insurance license. With healthcare organizations establishing their own health plans, they will need to continue to invest in robust analytics to properly manage insight. This collaboration creates more data as information flows in from payers, providers and patients. More data means more information to sift through, making it even more challenging to turn that information into action. The investment in analytics will thus remain a top priority as the technology can offer providers a holistic view of financial, clinical and operational data that fuel cost-saving decisions. This holistic approach to data will help providers better manage the risk they are taking on and gauge areas for improvement whether it be gaps in care or medication adherence.

    2. To succeed with an EA strategy, healthcare organizations need to integrate analytics and data into everyone’s day-to-day. How is this done?

    There are many challenges that arise when establishing any type of analytics strategy – from a lack of leadership, proper IT support and the associated cost. Some of this is out of our control. However, there are proactive approaches that can be taken to ensure a seamless EA strategy:

    • Train and educate the clinical leadership – Healthcare organizations need to invest in their people and training. For example, clinicians often don’t have the background or bandwidth to tackle analytical insights without guidance and support. As such, clinical leaders would benefit from educational courses, workflow conversations and other prep to ensure that they can direct their clinical teams in a data-driven manner.
    • Establish realistic goals – Training and education investments are doomed to fail if a provider executive doesn’t establish realistic goals. To ensure that data-driven leadership and approaches become part of a clinical staff’s day-to-day, set realistic goals and timelines. And be patient – this will be an iterative approach vs. a one and done.
    • Empower self-service - Putting the tools in the hands of business decision makers can ensure real-time decisions are being made towards important organizational goals. There are various tools and interfaces that business leaders can be trained on that are geared with business end-users in mind. This ensures that insights are getting delivered and implemented throughout the healthcare organization and not in an IT-bottleneck.

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  • Trends in Review: Looking Ahead to HIMSS17

    February 20, 2017 Editorial Team in Big DataFeaturedMedeAnalytics

    Each year, the HIMSS conference brings together the brightest health IT professionals, clinicians, c-suite executives and vendors to discuss cutting-edge innovations and developments in the industry. With HIMSS17 right around the corner, here are the top three trends that we’ll likely see dominating the headlines:

    • Big Data and Analytics Will Continue to Push the Industry Forward – A recent poll conducted by Healthcare IT News shows that Big Data and Analytics will be two of the most talked about topics at HIMSS this year. This has been a continued trend as there have been major investments in this field. In fact, a recent IDC report found that the analytics market will reach $43 billion by 2020. Analytics is a crucial tool for healthcare organizations, as it offers them a holistic view of their patient’s outcomes and cost saving opportunities within their supply chain. Healthcare organizations are continuing to invest in solutions that lend insights to improve patient outcomes while keeping costs down.
    • Revolutionize Data Sharing – Sharing data securely will continue to be a focal point as the industry continues to track towards quality outcomes for patients. Despite progress, this effort has not been met without challenges. In fact, 45 to 54 percent of physicians reported burnout from using EHRs. Many believe blockchain, which is a sequence of every transaction made in the patient’s history, is the solution. John Halamaka, chief information officer at Boston-based Beth Israel Deaconess Medical Center, recently spoke about its potential and stated: “it’s the right time in our history to take a fresh approach to data sharing in health care.” The conference will shine light onto the industries willingness to work towards a new form of data sharing.  
    • Staying Competitive via Payer-Provider Collaboration – As the industry becomes more patient-centric and value-driven, payers and providers will need to increase focus on collaboration. Patients are becoming even more engaged in their own healthcare and will look to providers who can offer the best value and experience for their service. Health plans, a recent Deloitte report noted, will need to harness advanced information technology to assist in important interactions with members to offer value. Through payer-provider collaboration, organizations will have the opportunity to stay competitive and achieve patient satisfaction.

    Amidst new legislation and investment in the health IT sector, tracking towards value is full steam ahead. Payers and providers will need to invest in solutions that help them achieve the triple aim. If you plan on attending this year’s conference, make sure to stop by and visit us at MP34 to learn more about our cloud-based payer and provider tools that help uncover business insights for nearly 1,500 healthcare organizations. 

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  • How to Liberate Data Insights

    February 6, 2017 Editorial Team in Big DataFeaturedMedeAnalytics

    In last week’s blog post, we explored how to make the most out of analytics investments. For this week’s blog, we want to continue that conversation. Data is a useful resource and the industry agrees, with 70 percent of healthcare organizations seeing its value. Although useful, there are many challenges in addressing data including how to best utilize it.

    One useful way to leverage data analytics is to create its own department. Often times, healthcare organization’s data is confined to departmental silos that prevent the delivery of actionable insights to the hands of key decision-makers. This self-servicing of analytics democratizes data and insight by providing the right insights to the right users at the right time. Here’s how healthcare organizations can succeed with their own analytics department:

    1. Find Departmental Business Leaders and Champions

          With an analytics department there comes a lot of data insight to manage. This requires leadership and process change, not just dashboards to sift through. Data champions and business leaders are the driving force that will integrate insight into their daily, monthly and/or quarterly management processes. When engagement with analytics comes from the top it is much easier to sustain and ensure that analytics is integrated throughout the organization.

          2. Build Trust with Data Governance

          Data is nothing without the organization behind it. To gain that trust, it’s important to provide reliable data that business leaders and champions can use to empower physician and clinical teams towards their goals. To ensure data trust, there needs to be proper governance, documentation and data mapping to help build trust and transparency throughout the organization.

    To learn more about leveraging analytics, check out our latest whitepaper here. If you are interested in ways we can help you on your analytics journey, learn more about our enterprise analytics options.

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  • How Health Systems Can Achieve ROI in Analytics Investments

    January 30, 2017 Editorial Team in Big DataFeaturedMedeAnalyticsPayment Reform & Value-Based PurchasingValue-Based Care (VBC)

    The journey to value-based care is filled with challenges, especially as it relates to measuring quality metrics. This challenge can be difficult to overcome without the right tools and skillsets but analytics can be an invaluable asset to help track and benchmark progress towards value. In fact, this is already becoming a widely-adopted tool, with the healthcare analytics market expecting to reach $42.8 billion by 2024. In this week’s blog post, we’ll outline the necessary steps healthcare organizations can take to ensure return on investment (ROI) with analytics. With nearly every healthcare organization somewhere along the value journey, it’s important to keep in mind that each step should be catered to help meet specific business objectives. Here are three guidelines to start:  

           1. Lead with Business Use Case, Not Technology

    A successful analytics project begins by identifying key stakeholders and understanding their needs for reporting and analysis. Think of the following question when getting started: what business problems are we trying to solve and how can enterprise analytics create value? Analytics programs need to be built with problems at the center.

           2. Achieve Quick Wins

    Starting small is key. Sifting through and analyzing data can be a large and daunting task, so it’s important to remain focused at the start of your project and then expand. Focus on one or two small use cases such as medication adherence or hospital readmissions. Once those initiatives are deployed, set realistic metrics and timeframes to properly measure progress. If progress is being made, make sure to continue driving the initiative and look for additional growth opportunities. 

           3. Create a Data-Drive Culture

    Healthcare organizations typically work in siloes, especially as it relates to analytics. Each department has various levels of competency and integration of analytics tools. Establishing a dedicated analytics department that is separate from others instills its importance and creates a data-driven culture. Through centralizing analytics, the healthcare organization can spread expertise across the organization, standardize analytical platforms and create governance for consistent calculations and metrics.   

    To learn more on how to make the most of your analytics investment, check out our latest whitepaper here. If you are interested in ways we can help you on your analytics journey, learn more about our enterprise analytics options.  

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