Archive for the ‘Health Information’ Category

Guest Post: Rethinking Healthcare Cybersecurity by Focusing on the Attacker, not the Attack

October 4th, 2018 by Ofer Israeli

Why are healthcare systems so challenging to secure? What is driving this complexity. How might we rethink our approach?

Healthcare systems, like all digital networks today are increasingly inter-connected and consumer-driven. The digital transformation necessary to make them agile, also renders them easy targets for data and identity theft, insurance fraud, and other forms of cybercrime. As the recent spate of ransomware has shown, cyberattacks on healthcare institutions also disrupt vital services and risk patient safety.

Beyond the health organization’s core staff, a wide variety of guests, students, visitors, patients, maintenance workers and others have direct physical access to healthcare systems and devices. Temporary workers and contractors require access to sensitive systems while employed. External interconnection of these systems with universities, research partners, and other remote services further mitigates the effectiveness of perimeter and access security controls. Higher and thicker security walls will not support the organization’s need to break down barriers, share information, and increase patient access.

Clearly, a new approach is required. If we cannot stop attacks, then we must stop the attackers. This is not a semantic nuance. The key to protecting healthcare systems in the future will be to transform our thinking—from a focus on defending ourselves from an infinitely expanding phalanx of attacks and attack vectors, to instead focus on disrupting the attack process itself regardless of attack style or source. We must stop the attackers.

As difficult as that might sound at first blush, there is, in fact, a silver bullet that will disrupt the vast majority of attacks. Malicious actors targeting healthcare systems all share a common trait that makes them vulnerable to disruption and detection. Regardless of how they enter a healthcare network, or what their intent, attackers must move laterally across the healthcare network to access their target applications, devices, systems, and data. To move undetected, they must gather intelligence about the environment and make careful decisions regarding their attack path.

The key then, quite simply, is to disrupt the attacker’s decision-making process—to blind and befuddle them so that they cannot progress their attack. Done well, cyber deception technology disrupts the attacker’s intelligence gathering process, and destroys their ability to make accurate decisions, by flooding the attack plane with false and misleading data. Similar in effect to evasive maneuvers used in aerial combat such as disgorging flak, disrupting radar, and disorienting GPS signals, these new technologies destroy the attacker’s ability to navigate, and ensure they are detected by any movement they do decide to make.

The challenges of securing healthcare systems will continue to grow as attackers, and their tools, methods, and infrastructure, become more sophisticated and diverse. Just as digital transformation is improving efficiency and patient outcomes, the traditional security mindset must be transformed to a modern security mindset. To protect these new system architectures, we must refocus our efforts from defending against attacks to disrupting the attack process itself. Deception offers a promising path forward in this direction.

Ofer Israeli

Ofer Israeli

About the Author: Ofer Israeli, founder and CEO of Illusive Networks, pioneered deception-based cybersecurity. He leads the company at the forefront of the next evolution of cyber defense. Prior to establishing Illusive Networks, Mr. Israeli managed development teams based around the globe at Israel’s seminal cybersecurity company Check Point Software Technologies and was a research assistant in the Atom Chip Lab focusing on theoretical Quantum Mechanics.

Infographic: How Big Data Will Unlock the Potential of Healthcare

August 6th, 2018 by Melanie Matthews

The amount of medical data generated each year is rising astronomically. Understanding how to connect that data for new growth opportunities, greater efficiency and better serving consumer needs is a pressing challenge for healthcare organizations, according to a new infographic by Publicis Health.

The infographic examines these data trends and how healthcare organizations can successfully activate data.

UnityPoint Health has moved from a siloed approach to improving the patient experience at each of its locations to a system-wide approach that encompasses a consistent, baseline experience while still allowing for each institution to address its specific needs.

Armed with data from its Press Ganey and CAHPS® Hospital Survey scores, UnityPoint’s patient experience team developed a front-line staff-driven improvement action plan.

Improving the Patient Experience: Engaging Front-line Staff for a System-Wide Action Plan, a 45-minute webinar on July 27th, now available for replay, Paige Moore, director, patient experience at UnityPoint Health—Des Moines, shares how the organization switched from a top-down, leadership-driven patient experience improvement approach to one that engages front-line staff to own the process.

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Infographic: 2018 Health Data Breaches Fast Facts

August 1st, 2018 by Melanie Matthews

There have been 165 healthcare data breaches so far in 2018, affecting 3.2 million people, according to a new infographic by Optimum Healthcare IT.

The infographic examines the types of breaches that have occurred.

Healthcare Trends & Forecasts in 2018: Performance Expectations for the Healthcare IndustryHealthcare Trends & Forecasts in 2018: Performance Expectations for the Healthcare Industry, HIN’s 14th annual business forecast, is designed to support healthcare C-suite planning as leaders react to presidential priorities and seek new strategies for engaging providers, patients and health plan members in value-based care.

HIN’s highly anticipated annual strategic playbook opens with perspectives from industry thought leader Brian Sanderson, managing principal, healthcare services, Crowe Horwath, who outlines a roadmap to healthcare provider success by examining the key issues, challenges and opportunities facing providers in the year to come. Following Sanderson’s outlook is guidance for healthcare payors from David Buchanan, president, Buchanan Strategies, on navigating seven hot button areas for insurers, from the future of Obamacare to the changing face of telehealth to the surprising role grocery stores might one day play in healthcare delivery. Click here for more information.

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Infographic: HIPAA Compliance Checklist & Healthcare Cybersecurity Awareness

July 30th, 2018 by Melanie Matthews

While Health Insurance Portability and Accountability Act audits by the Department of Health and Human Services (HHS) continue to ramp up, healthcare organizations have seen penalties and settlement agreements between healthcare organizations and HHS in the millions of dollars, according to a new infographic by eFax Corporate.

The infographic provides a checklist of important information to help healthcare organizations with HIPAA compliance.

Healthcare Trends & Forecasts in 2018: Performance Expectations for the Healthcare IndustryHealthcare Trends & Forecasts in 2018: Performance Expectations for the Healthcare Industry, HIN’s 14th annual business forecast, is designed to support healthcare C-suite planning as leaders react to presidential priorities and seek new strategies for engaging providers, patients and health plan members in value-based care.

HIN’s highly anticipated annual strategic playbook opens with perspectives from industry thought leader Brian Sanderson, managing principal, healthcare services, Crowe Horwath, who outlines a roadmap to healthcare provider success by examining the key issues, challenges and opportunities facing providers in the year to come. Following Sanderson’s outlook is guidance for healthcare payors from David Buchanan, president, Buchanan Strategies, on navigating seven hot button areas for insurers, from the future of Obamacare to the changing face of telehealth to the surprising role grocery stores might one day play in healthcare delivery. Click here for more information.

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Guest Post: 5 Steps To Prepare for Real-Time Enterprise Healthcare Data

July 2nd, 2018 by Melanie Matthews

The right real-time enterprise data infrastructure allows the information to be routed to a data lake where enterprises can employ modern business intelligence solutions to derive actionable insights.

Recent trends and emerging technologies are converging and a truly real-time enterprise will soon be an achievable possibility. As we move beyond traditional batch data to include streaming data, healthcare systems are seeing an unlimited and unyielding flow of data. This constant flow gives enterprises the ability to act on the information as it originates. Additionally, the right infrastructure allows the information to be routed to a data lake where enterprises can employ modern business intelligence solutions to derive actionable insights.

Of course, not every organization will need to be able to utilize truly real-time data, all organizations need to consider how they can best manage the increasing flow of data. Following are five steps to consider as you develop your enterprise information management (EIM) strategy:

  1. Define/identify business objectives – Is real-time data needed?: While the use cases are innumerable, real-time applications of data by their nature require a much higher level of network resources than data that is sent every hour or every day, as batch processes often are. Consider this: do you need data immediately or is once per hour sufficient? Organizations must first consider how frequently information is needed and then set the strategy.

  2. Find your edge and manage devices: Advancements in integration, messaging software, and Internet of Things (IoT) are building a new edge of the network. Mobile devices in the modern context can be virtually anywhere. To have success organizations need a data and device strategy to ensure that they can “read” the data they need, when they need it. Asset management strategies are also necessary for these devices to ensure that the information on them is controlled, secured, and properly maintained. An increasingly common example of device management at the edge is in healthcare, where tablets and mobile phones are increasingly used at the point of care.

  3. Let Data Streams Flow into Lakes: As organizations gather and use different kinds of often completely unrelated data forms, it makes a lot of sense to create a data lake. Whether this is required goes back to the context of use and the business objective, but in all cases, it is crucial to develop a strategy to consolidate, store, protect and back up the data.

  4. How Do Users Consume the Data?: Information for the sake of information can be distracting. Real-time data is no exception. Again, it is critical that its use be considered in the development of strategy. Let’s use monitoring again as an example. Do users need to know what is happening all of the time, or just when something is wrong, or some other key milestone? If they only need to know at certain points (problem detected, report generated, etc.), what is the best way to relay that information—an alert, a color-coded dashboard? The possibilities are limitless but should reflect a keen understanding of how the information will be used when needed most.

  5. Build in Analytics to Mine That Gold: Information is dynamic and so are the use cases that motivate different users to seek and apply it. For many, the information they gain is descriptive, for some it’s diagnostic in nature, and for others it’s predictive. An example can be found in the predictive analytics used to proactively identify equipment failure and to guide the resulting maintenance and repairs. For others it is prescriptive and informs what is happening currently to help define what should be happening. Regardless, the enormous range of use demands that organizations seeking to benefit from real-time data first establish the infrastructure necessary to run analytics in a way that pulls out actionable, relevant information.

A move to real-time enterprise will require changes to virtually every part of an organization. It will take a great deal of time, attention and hard work; however, the benefits will be significant. The five steps discussed here can help healthcare organizations find and stay on the right path to becoming a real-time enterprise.

About the Author:

Jennifer Schwartz

Jennifer Schwartz is an accomplished professional with special expertise in enterprise information programs, consulting, strategic planning, and mobile solution architecture. She has 18 years of experience with improving operational efficiency, reducing costs, and formulating strategic plans for her clients. As the Enterprise Information Management solution lead for CTG, Ms. Schwartz focuses on business process management and automation, providing best practice guidance, and executing special projects that help transform data into action. Jennifer works across industries, advising clients on the execution of projects to realize efficiencies.

Infographic: Big Data Healthcare Trends Will Improve Outcomes

May 14th, 2018 by Melanie Matthews

Improved technology will play a pivotal role in the collection and analysis of big data for healthcare facilities. Healthcare providers will have access to large data sets to help improve their patients’ overall well-being, according to a new infographic by Compliant Healthcare Technologies.

The infographic examines how big data analytics will drive healthcare forward.

Predictive Healthcare Analytics: Four Pillars for SuccessWith an increasing percentage of at-risk healthcare payments, the Allina Health System’s Minneapolis Heart Institute began to drill down on the reasons for clinical variations among its cardiovascular patients. The Heart Institute’s Center for Healthcare Delivery Innovation, charged with analyzing and reducing unnecessary clinical variation, has saved over $155 million by reducing this unnecessary clinical variation through its predictive analytics programs.

During Predictive Healthcare Analytics: Four Pillars for Success, a 45-minute webinar on March 29th now available for replay, Pam Rush, cardiovascular clinical service line program director at Allina Health, and Dr. Steven Bradley, cardiologist, Minneapolis Heart Institute (MHI) and associate director, MHI Healthcare Delivery Innovation Center, shared their organization’s four pillars of predictive analytics success…addressing population health issues, reducing clinical variation, testing new processes and leveraging an enterprise data warehouse. Click here for more information.

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Infographic: Enabling a 360-degree View of Patient Data

May 2nd, 2018 by Melanie Matthews

As healthcare organizations move toward more integrated and personalized service delivery, they need the ability to securely access and analyze all data along the patient journey, according to a new infographic by BridgeHead.

The infographic examines how an Application Independent Clinical Archive (AICA) provides this type of patient-data view.

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 Colocation Myths

April 27th, 2018 by Melanie Matthews


The average healthcare organization stores well over one petabyte of data (1,000,000 gigabytes) leading many organizations to store data off premise, according to a new infographic by CoreSite.

The infographic explores some of the myths surrounding off premise data hosting.

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: How Machine Learning Will Impact Healthcare

April 9th, 2018 by Melanie Matthews

With $150 billion expected to be spent by the healthcare industry on AI deployment and tools over the next decade, machine learning is set to transform the industry, according to a new infographic by Appen.

The infographic examines several use cases for machine learning in healthcare.

Taking lessons from its five-year congestive heart failure (CHF) remote patient monitoring program, the University of Pittsburgh Medical Center (UPMC) is expanding its remote patient monitoring program to five additional disease states.

Remote Patient Monitoring at UPMC: Creating Early Warning Systems To Reduce Unplanned Healthcare Utilization, a 45-minute webinar on March 22nd, now available for replay, Dr. Ravi Ramani, director, UPMC Integrated Heart Failure, provides a detailed case study of UPMC’s remote patient monitoring program, from the lessons learned within its CHF program to the additional disease states it will monitor remotely and the key features of each program.

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Infographic: 7 Reasons to Retire Legacy Healthcare Data to the Cloud

April 6th, 2018 by Melanie Matthews

Moving healthcare legacy data to the cloud can ease data lifecycle management challenges, according to a new infographic by Flatirons Jouve.

The infographic summarizes seven reasons why more healthcare organizations are adopting hosted solutions, including ones for application decommissioning and data archiving.

2018 Healthcare Benchmarks: Telehealth & Remote Patient MonitoringArtificial intelligence. Automation. Blockchain. Robotics. Once the domain of science fiction, these telehealth technologies have begun to transform the fabric of healthcare delivery systems. As further proof of telehealth’s explosive growth, the use of wearable health-tracking devices and remote patient monitoring has proliferated, and the Centers for Medicare and Medicaid Services (CMS) has added several new provider telehealth billing codes for calendar year 2018.

2018 Healthcare Benchmarks: Telehealth & Remote Patient Monitoring delivers the latest actionable telehealth and remote patient monitoring metrics on tools, applications, challenges, successes and ROI from healthcare organizations across the care spectrum. This 60-page report, now in its fifth edition, documents benchmarks on current and planned telehealth and remote patient monitoring initiatives as well as the use of emerging technologies in the healthcare space.

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