Archive for the ‘Health Information’ Category

Infographic: Protecting Patient Data in Today’s Digital Healthcare World

April 19th, 2017 by Melanie Matthews

The healthcare industry continues to ride the digital wave to improve patient care and organizational efficiency while reducing costs. Hospitals and health systems are relying on electronic health records, the cloud, and the Internet of Things (IoT) more than ever. While these technologies are convenient, efficient, and enable a higher degree of patient-centric care, they can be jeopardized by cybercriminals, according to a new infographic by Fortinet.

The infographic examines how healthcare organizations can protect their patients' data in a digital healthcare landscape.

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: Healthcare Scorecards Versus Dashboards

April 3rd, 2017 by Melanie Matthews

Healthcare organizations use scorecards and dashboards to measure and sustain outcomes improvement, according to a new infographic by HealthCatalyst.

The infographic examines how organizations use dashboards versus scorecards and the key features of each.

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: Big Data Challenges

March 17th, 2017 by Melanie Matthews

Healthcare organizations rely on a narrow swatch of data, thus creating a big hurdle in effectively predicting and preventing claim fraud, waste and abuse (FWA) with advanced profiling and analytics, according to a new infographic by SCIO Health Analytics.

The infographic looks at the sources of data used to identify FWA, levels of sophisticated analytics data use and the type of analytic resources used.

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: Understanding the Healthcare Information Universe

March 10th, 2017 by Melanie Matthews

Five percent of Google searches are health-related, equating to roughly five billion health-related searches every month, according to a new infographic by Scribewise.

For healthcare providers, this is a significant opportunity. Healthcare providers are generally mission-driven organizations committed to keeping their community healthy. Healthcare content marketing – creating and delivering high quality, medically-accurate health and wellness information into the marketplace – helps a healthcare provider fulfill its mission.

The infographic details the universe of healthcare information in 2017.

Understanding the Healthcare Information Universe

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results Between Medicare's aggressive migration to value-based payment models and MACRA's 2017 Quality Payment Program rollout, healthcare providers must accept the inevitability of participation in fee-for-quality reimbursement design—as well as cultivating a grounding in health data analytics to enhance success.

As an early adopter of the Medicare Shared Savings Program (MSSP) and the largest sponsor of MSSP accountable care organizations (ACOs), Collaborative Health Systems (CHS) is uniquely positioned to advise providers on the benefits of data analytics and technology, which CHS views as a major driver in its achievements in the MSSP arena. In performance year 2014, nine of CHS's 24 MSSP ACOs generated savings and received payments of almost $27 million.

Health Analytics in Accountable Care: Leveraging Data to Transform ACO Performance and Results examines program goals, platforms, components, development strategies, target populations and health conditions, patient engagement metrics, results and challenges reported by more than 100 healthcare organizations responding to the February 2016 Digital Health survey by the Healthcare Intelligence Network.

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Infographic: Healthcare Data Breaches in 2016

February 20th, 2017 by Melanie Matthews

Data breaches in the healthcare industry are increasing every year at an alarming rate, according to a new infographic by Kays Harbor.

In 2016, there were a total of 326 breach incidents, according to the United States Office of Civil Rights. The number of breach incidents is increasing despite awareness, HIPAA regulations, guidelines and strict measures to protect patient privacy.

The infographic drills down on the breaches that occurred in 2016 and how to minimize the risk of a breach this year.

Healthcare Data Breaches in 2016

HIPAA Training for Employees DVD
HIPAA Training for Employees DVD provides training on the following: privacy rule basics; use and disclosures; patient rights; employee behaviors to safeguard patient information; security rules; safeguards to protect patient information electronically; HITECH; breach identification and notification; enforcement; and level of fines.

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Infographic: Is Your Healthcare Organization Data Rich But Insight Poor?

December 16th, 2016 by Melanie Matthews

Is Your Healthcare Organization Data Rich But Insight Poor?Healthcare organizations with access to electronic healthcare record, claims, socio-demographic and administrative data, have to apply that data through all available lenses to act properly on the data to improve health, according to new infographic by Optum.

The infographic details three possible lenses through which healthcare data should be examined, as well as finding opportunities for intervention and measuring intervention success.

The move from fee-for-service to value-based healthcare is driving the need for increased capabilities in population health management, including addressing all of the areas that may impact a person's health. There is growing recognition that a broad range of social, economic and environmental factors shape an individual's health, according to the New England Journal of Medicine. In fact, 60 percent of premature deaths are due to either individual behaviors or social and environmental factors. Healthcare providers who adopt value-based reimbursement models have an economic interest in all of the factors that impact a person's health and providers must develop new skills and data gathering capabilities and forge community partnerships to understand and impact these factors.

During Social Determinants and Population Health: Moving Beyond Clinical Data in a Value-Based Healthcare System, a December 8th webinar, now available for replay, Dr. Randall Williams, chief executive officer, Pharos Innovations, shares his insight on the opportunity available to providers to impact population health beyond traditional clinical factors.

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Infographic: Hidden Encrypted Threats Impact Healthcare

November 11th, 2016 by Melanie Matthews

Healthcare organizations are increasingly targeted by cyber criminals seeking to steal electronic protected health information, electronic health records, personally identifiable information and other confidential patient data, according to a new infographic by A10.

The infographic examines the healthcare cyber threat, the need for SSL, why healthcare organizations have been slow to adopt SSL and the top SSL decryption tools.

2016 Healthcare Benchmarks: Digital HealthPerson-centric health management is slowly acknowledging the device-driven lives of patients and health plan members and incorporating these tools into care delivery and management efforts.

2016 Healthcare Benchmarks: Digital Health examines program goals, platforms, components, development strategies, target populations and health conditions, patient engagement metrics, results and challenges reported by healthcare organizations responding to the February 2016 Digital Health survey by the Healthcare Intelligence Network.

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Infographic: Roadblocks to Delivering Health Information to Vulnerable Populations

September 7th, 2016 by Melanie Matthews

Most healthcare organizations recognize the importance of health information, but there are many obstacles to delivering that information to vulnerable populations, according to a new infographic by Oliver Wyman.

The infographic looks at the various organizational, consumer-related and vulnerable population-specific roadblocks.

Telephonic outreach by healthcare case managers helps to bridge the care divide, supporting and improving the health of vulnerable and high-risk populations.

Telephonic Case Management Protocols to Engage Vulnerable Populations describes a suite of tools to facilitate identification, interaction, surveys, follow-up action, resource matching, and member engagement and outreach for a behavioral health population that is also a template for case management and care coordination of any organization's hard-to-reach or vulnerable members.

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Guest Post: 6 Ways Predictive Analytics Will Move Healthcare Forward in 2016

June 28th, 2016 by Anand Shroff, co-founder and chief technology and product officer, Health Fidelity

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Identifying at-risk patient populations is one way to use predictive analytics to generate rapid returns.

In non-healthcare sectors like retail and manufacturing, 'predictive analytics' was arguably the top buzz phrase of 2015. Respected industry analyst Gartner even included predictive analytics in its 'Top 10 Strategic Technology Trends' roundup. Predictive analytics have become increasingly important in the healthcare industry, too, as the volume of electronic data grows.

But healthcare organizations have grappled with how to access, analyze and apply their data. Many lack the advanced automated capabilities needed to extract meaning from complex, unstructured data sets from multiple sources. However, it’s crucial to find a way, since the stakes are incredibly high: A McKinsey & Company study estimated that the industry could extract $300 billion in value annually from big data and drive overall healthcare expenditures down by 8 percent.

The key to extracting maximum value from healthcare data sets is to use predictive analytics and cloud-based technologies. By analyzing current and historical data and using the findings to predict future events and trends, healthcare enterprises such as accountable care organizations (ACOs) and others can address the cost-quality equation that is so essential to successful operations in an outcomes-based environment.

The pay-for-performance ecosystem ACOs and other healthcare organizations operate in today demands new strategies to handle bundled payments and population health management challenges, and predictive analytics are tailor-made to produce the insights they need. Using predictive analytics to assess current data sheds new light on the following key metrics:

  • The relationships between cost, quality and patient outcomes;
  • Clinical best practices that drive optimal patient outcomes; and
  • Individual and population-level health risks.
  • By submitting current metrics to predictive analytics, healthcare organizations will gain incredibly valuable insights into how various factors intersect to affect outcomes and which issues they need to address first to drive improvements and value. As they respond to changes in payment models in 2016 and beyond, healthcare organizations will also use predictive analytics to refine their strategies by:

    • Gaining insights into risk factors and how to optimize risk management;
    • Identifying the practices, performers and results that affect organizational performance; and
    • Assessing the impact of ACO reimbursement and bundled payment strategies.
    • Taken together, these are the six ways predictive analytics will move healthcare forward in 2016. By leveraging the power of predictive analytics, healthcare organizations will be able to clearly identify the factors that drive clinical quality and operational expenses. And by applying this information, they can predict and manage clinical and financial performance with greater accuracy. Moreover, they’ll have the opportunity to drive continuous improvement in practices and processes, which will minimize costs while maximizing care quality going forward.

      Healthcare organizations that want to put predictive analytics to work for their operations should consider a two-part strategy that focuses on simple, high-value initiatives first. They’ll need to create an infrastructure that allows them to secure quick wins and then address more complex projects—for example, focusing on revenue improvement by using predictive analytics to proactively manage risk can pay tangible, substantial dividends in the short term.

      Identifying at-risk patient populations in terms of the 30-day readmission window is another way to use predictive analytics to generate rapid returns. Once healthcare organizations have the right processes and practices in place, they can branch out into more complex initiatives like analyzing value-based payment models such as the ACO, episode-based care and patient-centered medical homes. The ability to use discrete and unstructured clinical, financial and operational data to improve performance is the key to success.

      Organizations that embrace predictive analytics in 2016 and beyond will have a key competitive advantage: They will have finally unlocked the value of their data. Predictive analytics have transformed many business sectors in 2015, and 2016 is shaping up to be the breakthrough year for predictive analytics in healthcare, driving better value and outcomes. That’s good news for healthcare organizations and patients alike.

      Anand Shroff

      Anand Shroff, co-founder and chief technology and product officer of Health Fidelity.


      About the Author: Anand Shroff is a co-founder and chief technology and product officer of Health Fidelity. He is responsible for the company’s product strategy and execution and marketing initiatives. He has championed the cause of enterprise performance improvement by promoting electronic capture, exchange and analysis of healthcare data. Prior to founding Health Fidelity, Anand was vice president of EHR and HIE products at Optum. Anand has an MBA from the Haas School of Business at the University of California, Berkeley and an MS in Computer Science from the University of California, Santa Barbara. Anand has an undergraduate degree in Computer Engineering from the University of Mumbai. Connect with Anand on LinkedIn and on Twitter.

      HIN Disclaimer: The opinions, representations and statements made within this guest article are those of the author and not of the Healthcare Intelligence Network as a whole. Any copyright remains with the author and any liability with regard to infringement of intellectual property rights remain with them. The company accepts no liability for any errors, omissions or representations.

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.

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.