Value-based health care, personalized medicine and patient centricity will quickly reshape how medical care is delivered and paid for. An important force behind this trend is the connectivity enabled by the Internet of Things (IoT), which wirelessly links people, IT systems and things, and enables two-way transfers of data through a network. All this can happen effortlessly, without human-to-human or human-to-computer interaction.
Is IoT in health care the missing link in value-based care?
IoT in health care enables us to connect a multitude of people, things with smart sensors (such as wearables and medical devices), and environments. Sensors in IoT devices and connected “smart” assets can capture patient vitals and other data in real time – then data analytics technologies, including machine learning and artificial intelligence (AI), can be used to realize the promise of value-based care. For example, significant value can be gained through:
- Operational improvements, which boost operational efficiencies in ways that enhance quality of care while reducing costs.
- Clinical improvements, which enable faster and more accurate diagnoses and a more patient-centric, scientific determination of the best therapeutic approach to support better health outcomes.
Let’s take a closer look at the potential for IoT in health care – also referred to as the Internet of Medical Things (IoMT) – to achieve true, value-based care.
A Connected Future: IoT for Health Care Providers
IoT is paving the way for huge leaps forward in value-based care. What does IoT in healthcare look like today – and in the future? Learn from real-world examples of how data and IoT analytics are shaping future health care options.
IoT in health care can dramatically optimize workflow and staffing. Even a basic IoT solution can collect and bring together such data as staff location and expertise, patient acuity and location, and availability and location of critical diagnostic and therapeutic equipment. Once modeled, this data can help staffing managers improve workflows and make better staffing and scheduling decisions. The data can also be used to understand the movement of people and assets, and to predict where staffing and equipment will be needed most the next day or in the weeks ahead. Ideally, health care facilities will be able to move to appropriate dynamic, on-demand scheduling and resource allocation schemes. This would ensure that the right people are assigned to the right places to efficiently deliver quality care while improving staff morale and patient satisfaction.
Using IoT in health care, we can finally begin to tackle the critical problem of alert fatigue in clinical care delivery. This occurs when care providers receive too many clinical alerts – with up to 99 percent of them being false alarms. Alert fatigue is directly responsible for growing numbers of patient injuries and deaths.1
With IoT in health care, there are many ways to improve patient care and safety. For example, hospitals can use smart, connected monitoring devices that are linked to patient records, pharmacy systems, room location, nursing staff schedules and more. The sensors in these smart devices collect data, which is integrated with other medical device and system data and then analyzed to determine whether to trigger a silent alarm for a noncritical event or an audible alarm for a life-critical event. In this way, IoT will increase confidence in alarms, reduce work load and drive timely action – keeping patients safer.
Perhaps the greatest opportunities for IoT in health care lie in helping clinicians make faster, more accurate diagnoses and more precise, personalized treatment plans. These capabilities can improve outcomes, reduce costs and ultimately provide greater access to high-quality care for more people across the globe. IoT in health care technologies can integrate and analyze diverse types of diagnostically relevant data and move it to clinical decision-support systems. Health care providers using these systems will have a more complete picture of each patient’s health, as well as the tools to make faster and more precise treatment recommendations. Such opportunities are already being realized in the diagnosis and treatment of sepsis, where speed and accuracy are critical to saving patients’ lives.
IoT in health care: Better patient outcomes, lower cost
These are all examples of how IoT in health care allows us to collect granular patient data at frequencies previously unimaginable – not just when people are sick or in a hospital, but where people live and work. This data can be combined with behavioral, physiological, biochemical, genetic, genomic and epigenetic data and more. The volume and scope of the data will make it possible to develop powerful learning and adaptive diagnostic and therapeutic models. Over time, these algorithms will be able to detect new, previously hidden or unknown patterns and relationships between data, diagnoses, treatments and patient outcomes. The result will be next-generation expert systems that will eventually develop a level of autonomy in diagnosis and treatment. Soon, we’ll see them routinely assisting physicians and nurse practitioners, helping them provide high-quality care and achieve better patient outcomes at a lower cost.
Perhaps the greatest opportunities for IoT in health care lie in helping clinicians make faster, more accurate diagnoses and more precise, personalized treatment plans. This can improve outcomes, reduce costs and ultimately provide greater access to high-quality care for more people across the globe. Mark Wolff Chief Health Analytics Strategist, Global IoT Division SAS
About the Author
Mark Wolff, PhD, has more than 25 years of experience in the health and life science industries as a scientist and analyst. His areas of expertise include the development and application of advanced and predictive analytics in health care and life sciences, with an interest in outcomes and safety. His current work focuses on methods and application of machine learning to real-time sensor/IoT data, supporting safety research, visualization and development of intelligent decision-support systems.
“Alarm Fatigue: A Patient Safety Concern.” The American Association of Critical-Care Nurses.
- Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
- Next generation anti-money laundering: robotics, semantic analysis and AIAnti-money laundering taken to its next level is sometimes referred to as AML 2.0 or AML 3.0. What does this next wave of AML technology look like? What can it do that you can’t do with traditional AML? See the results innovative financial institutions around the globe are already getting.
- AI in manufacturing: New opportunities for IT and operationsAn AI survey reveals that leaders and early adopters in AI are making important advances and are identifying and expanding on what works as they use AI in more ways and more parts of their organizations.