💥Bam! Meet Bullseye charts in Qlik Sense! 🎯

Qlik counted on us to provide its customers with "additional choices for building even more compelling visualizations," and we couldn't stop innovating 😎

⚡️ The March 2021 release of our Qlik extensions is out with the Bullseye chart — one of a kind in QS 💎 Also added, new great features for Gantt charts. All highlights here — see what's new.

🏆 Enjoy the new versions and hit the bull's-eye in data-driven decision making with Qlik and AnyChart.

What do you want to get next? Let us know!

At HIMSS 2022, one of the big topics of conversation was how to drive efficiency in healthcare without compromising the patient experience. Healthcare is human-centric, and the literal life-or-death situations faced by clinicians and patients every day means there’s little opportunity to experiment with new processes and technologies that could drive efficiency.  Any change needs to be simple to implement, work quickly and reliably, and produce results in order to be deemed a worthy investment.

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At the time, the 2009 HITECH Act and the introduction of the Meaningful Use program represented a momentous step in healthcare’s digital transformation. With billions of dollars in government investment and incentives in nearly two years’ time, over 77 percent of hospitals had reached Stage 3 of the Electronic Medical Record Adoption Model (EMRAM), or gone even further, pulling millions of data points into newly-established EMRs. 

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The ability to collect and use data quickly, securely, and repeatedly is critical to federal healthcare agencies’ success. This article, originally published on Government Technology Insider, outlines potential obstacles to establishing this competency and options for overcoming them.

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Date: May 2, 2012
Time: 2:00PM - 3:00PM EST / 11:00AM - 12:00PM PST
Duration: 1 hour

Healthcare organizations are facing a tidal wave of data and have a real urgency to find cost effective, high-value ways to derive value from this data to improve care and reduce costs.

Informatica and Qlikview offer just the solution – enabling powerful, easy-to-use analytics against trustworthy data to answer key business and clinical questions such as…Who are my primary patients or members? What is the relationship between my patients and their providers? To whom are my providers referring my patients? What are the household relationships between my members or patients so that I can increase revenue?

Join Informatica’s Chief Healthcare Strategist, Richard Cramer, and QlikView’s Healthcare Director, Tracy Behar, to discuss how to overcome data challenges to better understand your customers, service providers, and the relationships between them to improve service quality, increase revenue and create business agility.

In this interactive webinar you will learn:

• Why relationships are so important to understanding your business
• How to fix unreliable, conflicting or poorly managed data to makes relationships easier to manage
• How analysis and reporting can be achieved at the physician, organization and service line level

Register here: http://tinyurl.com/7zfzj94

What if anyone in your healthcare organization could create a dynamic application to explore vast amounts of data from all your data sources (EMR, CMS, claims data, etc.), find meaningful insights, and share them with anyone else? That’s exactly what you can do with Qlik Sense®, and we want you to experience it for yourself!

Join us for a free, virtual workshop, Qlik Sense® for Beginners.

The workshop is led by an instructor and we’ll put the power of data analytics right into your hands. You’ll learn just how easy it is to:

• Leverage data analytics to empower your healthcare organization to make data-driven decisions
• Set up a Qlik Sense® application using any number of data sources
• Construct a fully functional application
• Navigate your application and share it with your colleagues

During the workshop, we will answer questions of the data, such as:

• Which departments and hospitals are dealing with the most patients right now?
• What is the average length of stay across various departments?
• Which zip code corresponds to the longest length of stay?
• Which hospitals have shorter lengths of stay compared to others?

If you want to continue using Qlik Sense after the workshop, register for Qlik Sense® Cloud before the workshop.

Space is limited, so please register today.

Using Qlik GeoAnalytics and a few open-source tools, you can create engaging visualizations tied to your data such as this. Ever wondered how else the number X-rays and MRI scans received at hospitals can be visualised? Just a simple click and you can find out what individual body parts had the most scans!

The GeoAnalytics team wrote up a tutorial on how to do things like this: https://community.qlik.com/t5/Qlik-GeoAnalytics-Documents/Digitizing-floor-plans-for-use-in-Qlik-GeoAnalytics-QGA/ta-p/1489032

In the earlier stages of the COVID-19 pandemic, many healthcare organizations aggressively tracked data to comply with state reporting requirements, without a real-time data strategy. However, earlier this summer, as many state and local governments ended their emergency orders, healthcare organizations began to slow their data collection measures. Now, as cases begin to rise again, hospitals are facing unexpected shortages from staff to ICU beds and oxygen supply.

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As most of you know, I have a thing for Qlik Sense... But I want to share that I also love QlikView - everyone does at Qlik! Here's one of my favorite QlikView apps.

Attached below you'll find a ZIP file that contains not only the app, but also QVDs so that you can see and play with the data.

Let me know in the comments if you have other requests or what your favorite visualization is for healthcare analytics.

For those wondering, Yes - the body elements are mapped to data elements, so you can select things on the chart or as you search and the visualization will change:

Health systems generate an abundance of data that has the potential to significantly improve hospital operations, resource allocation and strategic decision making—all contributing to overall better care delivery. But, if this data is siloed on different platforms and in different formats, it is virtually impossible to use for analytic purposes. During a time when it is crucial for hospitals to be continuously modernizing IT, while also staying cautious of fluctuating resources and personnel, implementing data analytics into all areas of operations should be the first stepping stone. Enter modern DataOps. 

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Hypertension, a leading factor in death and disability, affects one in four adults – yet 25 percent of people with hypertension remain undiagnosed. This is a serious problem not just for patients but for healthcare providers as well. Undiagnosed cases of hypertension are associated with over 50 percent of stroke and heart attack cases and are a leading cause of hospital admissions. In a session at Qlik World Online, Rob O’Neill, Head of Analytics at University Hospitals of Morecambe Bay (UHMB) NHS Foundation Trust, shared the results of an innovative initiative trialed by UHMB NHS – hospitals could use high-performing data models for predictive diagnosis to identify that 25 percent of people with hypertension that were previously undiagnosed. A clear picture of just one commonly undiagnosed medical condition could help UHMB NHS build a data-driven understanding of systemwide patient flow in hospitals.

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Large-scale health systems hold the responsibility of addressing health concerns specific to their regions and providing diverse patient populations with access to new medical advances. With a total of over 700 beds and over 1,200 medical staff members representing more than 50 specialties, Northeast Georgia Health System (NGHS) felt a duty to accelerate their ability to discover new scientific innovations to improve the health and quality of life of the people of Northeast Georgia. However, several obstacles hindered the speed and effectiveness of research processes.

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According to the CDC, antibiotic resistance is “one of the greatest public health challenges of our time.” This may seem surprising as most people have taken antibiotics many times in their lives. For many doctors, antibiotics are a go-to treatment for bacterial infections such as sinus infections and strep throat. However, the CDC estimates that more than half of all antibiotics prescribed in the U.S. were unnecessary. This overuse of antibiotics can lead to antibiotic resistance – when bacteria no longer respond to the treatment. This is a serious public health concern as few treatments are available when bacteria become resistant.

Last spring, the United Nations and the World Health Organization issued a call to action for member states to develop plans to address antibiotic resistance. In the United States, the CDC has called upon hospitals to implement Antibiotic Stewardship Programs (ASPs). The ASPs call for hospitals to optimize diagnostic accuracy by monitoring antibiotic prescribing and reassessing the use of antibiotic treatment.

Lessons learned from the COVID-19 pandemic have shown that data-driven approaches are key to slowing the spread of disease. Keck Medicine at the University of Southern California (USC) is leading the CDC’s call to action by using Qlik Sense to create an advanced data platform that ingests a broad range of medical data and applies logic to guide their understanding of antibiotic prescribing practices. In a webinar at QlikWorld Online, analysts from Keck Medicine – Marianna Mara, Amardeep Sahota, and Nairy Dola – showcased how they were able to set up their Analytics Prescribing Antibiotics application to take important data such as patient demographics and leading reasons for antibiotic use and align it with how antibiotics are prescribed and when they are effective.

Using data filtering to focus on specific areas like hospital information, patient background, and therapy trends, doctors can map out data to see a broader picture of various outcomes, which helps them to note disparities in antibiotic prescriptions. For example, filtering data based on gender differences found that males were prescribed antibiotics at a disproportionately higher rate than females, despite having the same diagnosis.

By filtering down by clinic, doctors at Keck Medicine can also identify departments with higher prescribing rates and engage them for support in stewardship efforts. On this strategy, Mara said: “By focusing on the critical few [antibiotics and prescribers], our business partners can hone in on the top providers, departments, and specialties that would require additional support or education around prescribing practices.”

Health professionals need to act now to identify trends in antibiotics prescription to gain a clearer picture of what is beneficial and what is harmful. To learn more about how data plays an essential role in understanding how to stop the spread of antibiotic resistance, watch the webinar “Antibiotics Prescribing Analytics” through QlikWorld Online.

The COVID-19 pandemic plunged many government and healthcare organizations into a data-driven race against time. The need to effectively track infections, monitor PPE supply, distribute vaccines, and make fast and deliberate public health decisions placed many organizations in the challenging position of rapidly innovating their data integration efforts while facing immense public pressure. However, Contra Costa, a county in the San Francisco Bay Area with a population of 1.1 million people, provides a stunning example of a data-forward health department that already had a solid foundation of integrated data in place and was able to seamlessly support the large-scale demands of a sudden public health crisis. 

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Hello, 

I'm trying to create create the following  using a table in qlik sense:

The total is part of the table, but how do can i added the "Observation%" at the both of the table or is even possible? 

Thank you

Last year, the horrors of COVID-19 unfolded a bleak picture, putting real-time care accessibility in the foreground as a priority. From the end users’ perspective, the access to data in real time and near real time was indicative of the healthcare community and healthcare IT solution providers’ preparedness to deal with the pandemic.

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As an extension of QlikWorld Online, the Qlik Public Sector Partner Summit is bringing together the leading technology, advisory, and solution providers across Federal, State and Local Governments, Higher Education Institutions and Healthcare Providers in the U.S. and Canada to share the latest data and analytics strategies, solutions, and technologies with the public sector technology community.

Join your peers this year to learn about:

• Streamlining Processes and Making Sensible Decisions in Government Operations from the CIO and Chief of Field Services for the Florida Department of Business and Professional Regulation
• Addressing patient distribution with Ottawa Paramedic service
• Human & Data Collaboration -- Using Technology To Get To The Heart Of What Matters from Bridget Bean, former FEMA Deputy Administrator of Resilience
• GovLoansVision: Descriptive and Predictive Market Intel for Government Mortgage Programs from Polygon Research
• Real-Time Data Driven AI Enabled Patient Surveillance from CTI
• Optimizing Outcomes with Intelligent Insights from Swish Data
• Connecting with your Qlik users through in-app surveys from Pomerol Partners
• Making Your Data Talk with Vizlib
• Advanced Analytics inside Qlik Sense with Booz Allen Hamilton
• Leaping from Legacy to Modern Data Analytics Architecture with Zero2Hero from Bardess
• Healthcare Research on Demand with IPC Global
• Integrating BI, AI, and Process Automation to Streamline Analysis to Action from Intellidyne
• Rapidly deploying Qlik’s rich data analytics and visualization capabilities at the tactical edge from RavenTek
• WWT’s Approach to Advanced Analytics Leveraging Qlik with Aparna Kumar, Analytics Practice Lead, Public Sector

Watch today!