Tag Archives: Clinical Decision Support

Keeping up with (and Getting Ahead of) an Ever-Changing Healthcare Model

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At this year’s annual HIMSS conference, a common topic of discussion was around how to continue to bring the technological and medical aspects of healthcare together to evolve, grow and support one another.

Each semester, I share with my Health IT students the many reasons that it is such an exciting time to be in healthcare. As we transition from a volume-based to a value-based incentive model, healthcare is going to look significantly different by 2020. This transformation is no longer a wish, it is no longer an option; it is our collective future. People who were previously one-foot-in and one-foot-out will be fully planted in the value-based healthcare model.

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Why 2015 is the Worst Time to be a Physician

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With the ONC’s recent release of their 10-year interoperability vision, it might seem like the industry is starting to make things easier for clinicians. In reality, 2015 is starting off to be one of the worst times ever to be a physician. Interoperability is a critical issue to support a transition from fee-for-service to value-based care. Physicians will eventually be reimbursed around their ability to impact clinical outcomes, so the need for clinically relevant information at their fingertips is mission critical.

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Healthcare in South Africa – Two Systems, Common Challenges

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When it comes to mHealth, most industrialised nations such as the U.S. and Europe have a head start. Money for healthcare technology investments is available, the infrastructure is in place, and most of the population is already engaged in the healthcare system.

As a country of about 52 million people, South Africa shares many characteristics with its larger brethren. There is a mix of public and private healthcare providers and health insurance plans, physician shortages in key areas, and South Africa is beset by many of the same chronic diseases that industrialised countries face (cardiovascular and obesity-related diseases, diabetes, etc.).

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Today’s Pressure Breeds Tomorrow’s Solutions

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It is no secret that health systems are under intense pressure to deliver better outcomes at lower costs, and standardizing acute care workflow will only carry providers so far. Truly moving the needle on cost and outcomes will require a fundamental redesign in care delivery; otherwise, health systems may well find themselves left out. Care keeps shifting to environments in which hospitals have less influence: what was once critical care can now be managed in an in-patient unit; what was once in the hospital is now in an office; what was once in the office is now at home.

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Creating a Friendly Environment for Adoption of Clinical Decision Support

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In recent years, our ability to stream large amounts of data in real-time has improved dramatically. This enhancement can transform how clinicians offer care by sourcing unprecedented opportunities for clinical decision support. However, the capability to process, store, and display data in and of itself does not transform care. Rather, it is how the clinicians adopt and apply decision support that will make all the difference to patients. However, the current environment must be altered to create a clinical decision support-friendly climate.

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Embracing Security Challenges

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Over the past year, the perception of mobile technology in healthcare has changed dramatically. mHealth is now being recognized as a tool that can help address the challenges our healthcare system is facing, including a shortage of caregivers, an influx of newly insured patients, decreased reimbursements and readmission penalties. Historically, there have always been barriers that kept hospitals from making the leap to mobility – lack of infrastructure, costs, or the fear of security breaches, among other reasons. Yet as mobile technology becomes deeply ingrained in our day-to-day work and social lives, healthcare is following suit and migrating toward mobility as a component of care delivery.

However, concerns about security remain at the forefront. According to data from the Department of Health and Human Services (HHS), more than 41 million people have had their protected health information compromised in a reportable HIPAA privacy or security breach. Additional data from the 2014 Healthcare Breach Report from Bitglass suggests that 68 percent of all healthcare data breaches are due to device theft or loss and 48 percent of breaches involve a laptop, desktop or mobile device.

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Transformation in 2015: Focusing Technology on the Patient

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We are currently experiencing the biggest transformation in healthcare ever. Technology plays a significant role as an enabler of this transformation, but will not drive it alone. Improving patient care and driving toward patient engagement are crucial goals in this next phase of the healthcare industry. To make adoption ubiquitous and implementation effective, there are several things we should focus on as we dive into 2015:

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Harnessing the Power of Big Data with Digital Health Partnerships

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KWard_dataIn today’s digital world, electronic patient data is growing exponentially and moving faster than healthcare organizations can imagine. At the same time, clinicians suffer from information overload, and high-volume and increasingly complex clinical patient loads, alongside dwindling time and resources.

Now more than ever, the pressure is building to harness the power of big data and digital technologies to help clinicians make faster, patient-centric decisions that increase quality of care and enhance health outcomes all while decreasing costs.

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Data, Data Everywhere and Not a Drop to Drink

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Clinicians want two things from data. On an individual patient level, they need to be able to see the data whenever and wherever they want – in a clean at-a-glance format and with essentially zero lag time. And at a cohort (population) level, they want the data presented as meaningful information in a way that enables conclusions, decisions, and actions about a group of patients.

These statements may seem like self-evident Data 101 to many of you, but in my decades of experience working clinically as an emergency physician and being responsible for operations of multiple emergency departments, it is clear that we have not delivered on this vision. In fact, the healthcare world lags other industries by 15-20 years in the availability, presentation, and use of information. Although our industry is catching up, there is still more effective use of information technology in banking, aviation, on-line retail, and a multitude of other industries. Even though many of the concepts of optimum presentation and use of data have been around for decades – the quest for electronic health records began in the 1980s – their breadth of execution and the realization of their value propositions have not been sufficient to become the norm. Healthcare has moved at a glacial speed of change, at least until recently.

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The Evolution of Health IT

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Health IT is often considered a silent partner in healthcare – not seen by patients, but a critical part of the system. As we celebrate National Health IT Week, it’s important to realize that although health IT already has a long history, the constant and rapid evolution of this space continues to transform the market. Information has been collected and stored for years, but the promise of clinical decision support has us at the cusp of all this information becoming valuable in new and innovative ways.

Just a decade ago, I was documenting patient encounters in paper charts. Although the transition to electronic medical records (EMRs) has been perceived as slow, in the grand scheme of medicine it actually happened almost overnight. These systems were not designed with our continuously changing workflow in mind, with user interfaces and workflows that aligned to our practices. They served as repositories for patient information, but did little else. In fact, our workflow changed to support the EMR, sometimes to the detriment of the patient. Instead of focusing directly on the patient, we often must split our time and attention between the patient and the computer terminal.

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