Posts Tagged ‘Data Analytics’

HINfographic: Data Analytics Frenzy Fueled by Population Health Management

May 16th, 2016 by Melanie Matthews

With reimbursement for healthcare services increasingly based on clinical outcomes, patient experience and cost of care, the motivation to slice and dice patient and population data has never been stronger. Population health management is the top driver of data analytics for more than a quarter of respondents to the 2016 Data Analytics and Integration Survey by the Healthcare Intelligence Network.

A new infographic by HIN examines which populations are targeted using data analytics, the type of data collected and the percent of the population for which data analytics is collected.

2016 Healthcare Benchmarks: Data Analytics and IntegrationThe 2016 Healthcare Benchmarks: Data Analytics and Integration assembles hundreds of metrics on data analytics and integration from hospitals, health plans, physician practices and other responding organizations, charting the impact of data analytics on population health management, health outcomes, utilization and cost.

2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network. Click here for more information.

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Infographic: The Power of Medical Device Data

March 11th, 2016 by Melanie Matthews

Healthcare organizations are recognizing the value of integrating medical device data for comprehensive and timely data analysis to drive informed clinical and operational decisions, according to an infographic by Capsule, a Qualcomm Life company.

The infographic highlights the power of a vendor-neutral medical device information system to go beyond sending data to an EMR by automating the capture and sorting of the voluminous amount of data gathered from medical devices. Then, through integration capabilities, specific data can be shared with other healthcare applications and systems for alarm notification, patient surveillance, clinical decision support, and even the management of the device assets themselves, helping to improve patient care.

As quality and value increasingly drive healthcare rewards, the generation, sharing and analysis of patient data is a prerequisite for organizations desiring to enhance clinical outcomes and drive down cost. Yet the burden of creating infrastructure to support health information management deters many payors and providers from fully engaging in a robust business intelligence strategy.

2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network.

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Infographic: Health IT Dives Into Data Lakes

February 10th, 2016 by Melanie Matthews

To speed their transition to value-based care, healthcare organizations are investing in next generation predictive analytics and data lakes, a powerful data architecture with a unified location for mining and analysis by clinical departments, business analysts and data science teams, according to a new infographic by EMC2.

The infographic looks at where predictive analytics can make a difference and steps to navigate a healthcare data lake.

Health IT Dives Into Data Lakes

As quality and value increasingly drive healthcare rewards, the generation, sharing and analysis of patient data is a prerequisite for organizations desiring to enhance clinical outcomes and drive down cost. Yet the burden of creating infrastructure to support health information management deters many payors and providers from fully engaging in a robust business intelligence strategy.

2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network.

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

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Infographic: 10 Healthcare Analytics Trends for 2016

December 21st, 2015 by Melanie Matthews

A focal point for healthcare organizations in 2016 will be healthcare data analytics and the ability to transform large amounts of data into meaningful information that can be utilized to improve patient care and operational performance, according to a new infographic by Perficient, Inc.

The infographic takes a deep dive into the top 10 healthcare data analytics trends for 2016.

Collaborative Health Systems (CHS), the largest sponsor of Medicare Shared Savings ACOs in the United States, manages 24 ACOs, nine of which generated savings of nearly $27 million in 2014.

While data analytics and integration is one of the greatest challenges for most accountable care organizations, the capture, analysis and reporting of data is the key to ACO success in improving quality, reducing costs and generating savings.

During Data Analytics in Accountable Care: Strategies and Case Studies, a 45-minute webinar on January 27th at 1:30 p.m. Eastern, Elena Tkachev, director of ACO analytics, Collaborative Health Systems, will share her organization’s experience in using data analytics effectively to improve ACO results.

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Infographic: Improving Outcomes With Health Data Analytics

December 11th, 2015 by Melanie Matthews

The cost of healthcare in the United States continues to rise. In 2015, costs are projected to rise by 5.3 percent to a per capita cost of $9,695, according to a new infographic by the Government Business Council.

The infographic examines the factors that are driving up U.S. healthcare costs and how big data analytics can help to control costs and improve the quality of care.

While widespread adoption of electronic health records has generated new streams of actionable patient data, John C. Lincoln has taken data mining to new levels to enhance performance of its accountable care organization (ACO).

Beyond the EMR: Mining Population Health Analytics to Elevate Accountable Care reviews the concentrated data dig undertaken by John C. Lincoln to prepare for participation in the CMS Medicare Shared Savings Program (MSSP).

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Infographic: Where Are You on the Healthcare Analytics Journey?

October 26th, 2015 by Melanie Matthews

Where Are You on the Healthcare Analytics Journey?To be successful in the value-based care and population health management paradigm, healthcare organizations must be able to leverage data to drive better outcomes, improve the patient experience and create cost efficiencies, according to a new infographic by IBM.

The infographic drills down on five layers of data analytics, the type of data that is collected at each layer and the how that data can be used.

While widespread adoption of electronic health records has generated new streams of actionable patient data, John C. Lincoln has taken data mining to new levels to enhance performance of its accountable care organization (ACO).

Beyond the EMR: Mining Population Health Analytics to Elevate Accountable Care reviews the concentrated data dig undertaken by John C. Lincoln to prepare for participation in the CMS Medicare Shared Savings Program (MSSP).

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Healthcare & Big Data: Infographic

May 18th, 2015 by Melanie Matthews

More than two-thirds of healthcare decision-makers consider analytics among one of their organization’s top three priorities, according to a new infographic by Vigyanix.

The infographic looks at the factors driving analytics and how big data analysis can benefit healthcare.

2015 Healthcare Benchmarks: Telehealth & TelemedicineThe world of digitally enabled care is exploding: the number of patients using telehealth services will rise to 7 million in 2018, according to IHS Technology; healthcare apps and ‘wearables’ are trending in technology circles and healthcare providers’ offices; and CMS’s new ‘Next Generation ACO’ model is expected to favor expanded telehealth coverage.

2015 Healthcare Benchmarks: Telehealth & Telemedicine delivers actionable new telehealth metrics on technologies, program components, successes and ROI from 115 healthcare organizations. This 60-page report, now in its fourth year, documents benchmarks on current and planned telehealth and telemedicine initiatives, with historical perspective from 2009 to present.

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Infographic: Making Healthcare Data Work

May 8th, 2015 by Melanie Matthews

Healthcare data comes from everywhere and is massive—the human body produces up to 150 trillion GB of information, which can be collected in many ways, according to a new infographic by NetApp.

The infographic looks at how analytics are impacting and improving healthcare and potential savings from better use of data.

Stratifying High-Risk, High-Cost Patients: Benchmarks, Predictive Algorithms and Data AnalyticsHealthcare organizations employ a variety of tools and analytics to identify high-risk, high-cost patients for targeted population health interventions.

Stratifying High-Risk, High-Cost Patients: Benchmarks, Predictive Algorithms and Data Analytics presents a range of risk stratification practices to determine candidates for health coaching, case management, home visits, remote monitoring and other initiatives designed to engage individuals with chronic illness, improve health outcomes and reduce healthcare spend.

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Infographic: Analytics in Healthcare

April 3rd, 2015 by Melanie Matthews

Analytics is clearly a top priority for healthcare decision-makers. In fact, according to CDW Healthcare’s recent Analytics in Healthcare Report, two-thirds of these decision makers say analytics is a top three priority — and for good reason. With the influx of data from electronic health records and health information exchanges, the healthcare industry is poised to see big benefits from clinical analytics.

A new infographic by CDW Healthcare looks at the demographic make-up of organizations using analytics, successful treatments based on analytical data, possible complications from using data analytics and where healthcare organizations expect to spend their analytics budget.

Beyond the EMR: Mining Population Health Analytics to Elevate Accountable CareWhile widespread adoption of electronic health records has generated new streams of actionable patient data, John C. Lincoln has taken data mining to new levels to enhance performance of its accountable care organization (ACO).

Beyond the EMR: Mining Population Health Analytics to Elevate Accountable Care reviews the concentrated data dig undertaken by John C. Lincoln to prepare for participation in the CMS Medicare Shared Savings Program (MSSP).

Get the latest healthcare infographics delivered to your e-inbox with Eye on Infographics, a bi-weekly, e-newsletter digest of visual healthcare data. Click here to sign up today.

Have an infographic you’d like featured on our site? Click here for submission guidelines.

Is a Population Health Management Approach Sustainable?

February 10th, 2015 by Cheryl Miller

Beyond the undeniable imprint of big data on the field of population health management (PHM) and the emergence of primary care on the PHM team, the most ringing endorsement of population health management derived from the Healthcare Intelligence Network’s second annual PHM survey is the resounding belief by almost all respondents (92 percent of hospital/health systems, and 100 percent of health plans) that a population health management approach is sustainable.

One respondent went so far as to say, “Nothing comes close [to population health management] in terms of managing systemic healthcare costs.”

Still, compared to conventional care management, PHM is still in its infancy, despite the plethora of analytics harnessing healthcare data for PHM consumption. Many respondents are careful to bear in mind the individual patient behind the electronic health record or health risk assessment, balancing the use of risk stratification tools like predictive modeling with a hands-on approach.

Underscoring this, a half-dozen respondents pointed to specially trained case managers, human communication, and interdisciplinary conversations as their most successful PHM tools, along with a host of behavior change techniques employed in telephonic and face-to-face interventions: motivational interviewing, intrinsic coaching and patient activation.

While these approaches are gaining ground in terms of reducing avoidable utilization and healthcare costs, the survey indicated that engagement of patients in population health management remains a significant challenge for almost a third of 2014 respondents (although it is less a barrier now than two years ago, when almost half of respondents struggled with patient engagement).

Perhaps with more primary care physicians on the front lines of PHM, reluctant patients will become less of an issue. As one respondent noted, “For PHM to work, it requires both physician and patient engagement for a selected population. Being all things for all people is not sustainable.”

Source: 2014 Healthcare Benchmarks: Population Health Management

http://hin.3dcartstores.com/2014-Healthcare-Benchmarks-Population-Health-Management-_p_4926.html

2014 Healthcare Benchmarks: Population Health Management Now in its second edition, this 50-page resource analyzes the responses of healthcare organizations to HIN’s second comprehensive industry survey on PHM trends administered in June 2014. It delivers the latest metrics and measures on current and planned PHM initiatives, providing actionable data on the most effective PHM tools and workflows, risk identification strategies, tools to boost health plan member and consumer engagement, modalities for program delivery, and much, much more.