Hemodynamic monitoring in the era of digital health
© Michard. 2016
Received: 29 December 2015
Accepted: 8 February 2016
Published: 17 February 2016
Digital innovations are changing medicine, and hemodynamic monitoring will not be an exception. Five to ten years from now, we can envision a world where clinicians will learn hemodynamics with simulators and serious games, will monitor patients with wearable or implantable sensors in the hospital and after discharge, will use medical devices able to communicate and integrate the historical, clinical, physiologic and biological information necessary to predict adverse events, propose the most rationale therapy and ensure it is delivered properly. Considerable intellectual and financial investments are currently made to ensure some of these new ideas and products soon become a reality.
KeywordsHemodynamic monitoring Digital health Imaging Graphical displays Sensor Wearable technology Connectivity Internet of things Mobile health Home monitoring
Digital innovations are changing the world at the speed of sound. Examples are multiple in our daily life: internet, social networking, smart phones, tablets and GPS, just to mention a few. They are also changing medicine [1, 2], and hemodynamic monitoring will not be an exception. In this viewpoint article, using published and public information, I will describe technological and digital innovations which will likely transform hemodynamic monitoring within the next 5–10 years. For sake of clarity, although they are linked, I have separated innovations into three categories: imaging, sensors and connectivity.
Metaphor and target screens
The second method to make visual the information provided by monitoring tools is to use technologies allowing a direct visualization of human anatomy and physiology, the most common example being ultrasound (Fig. 2). It is amazing to see how echo devices have evolved over time, from heavy and big machines to handheld or even pocket devices , with now the option to connect an echo probe to a cell phone  or to use disposable esophageal probes for continuous monitoring . Technological improvements have been so quick that human skills or lack of training is today the main limitation to the use of ultrasounds by anesthesiologists and intensivists. Electrical impedance tomography (EIT) is another bedside method to see inside the body. Thoracic belts are used to send and record electric signals from dynamic intrathoracic structures such as lungs and cardiac chambers. Images are not anatomical but functional, and EIT is currently used to assess the effects of mechanical ventilation on lung function. In the future, it may also be used to assess heart–lung interactions  and lung edema , as well as to assess lung perfusion , opening the door to the assessment of ventilation/perfusion mismatch, the main cause of arterial hypoxemia in critically ill patients. Finally, EIT has the potential to be used to assess stroke volume and cardiac output and to create cardiovascular images (Fig. 2). Holograms are not a dream anymore since the development of a digital system allowing cardiac surgeons to visualize and manipulate the heart in three dimensions . For anesthesiologists and intensivists, this may also become one day a way to “look” differently at the cardiovascular function (Fig. 2).
Imaging in education
Several studies have shown that the lack of knowledge is a significant limitation to the correct interpretation of hemodynamic variables . Serious games are video games designed to learn and train on serious topics, such as safety and processes. Serious games are increasingly used in industry and hospitals . They increase the use of learning tools (this is fun) and training efficiency (this is simulation) . Advantages of simulation training over traditional education methods include unlimited exposure to rare but complicated clinical events and the absence of risk for patients . Simulation-based training was demonstrated to improve medical knowledge, clinical performance and comfort in procedures. It is also useful to teach teamwork and communication, a key element of quality of care . Therefore, the current development of serious games in health care  may greatly benefit hemodynamic monitoring, given the large number of hemodynamic variables and tools, as well as the complexity of cardiovascular physiology.
Over 1 million pulmonary artery catheters are still used every year. However, many alternative monitoring technologies have emerged over the last decades, from esophageal Doppler to bioimpedance tracheal tubes , bioreactance skin patches  and pulse contour methods. Pulse contour algorithms allow the computation of stroke volume and cardiac output from an arterial blood pressure curve and are constantly evolving . Their reliability mainly depends on the quality of the pressure signal and on changes in vascular tone, as those induced by sepsis, cirrhosis and the use of vasoactive drugs [25, 26]. In this context, their accuracy and precision has been questioned by several studies using thermodilution or echocardiography as reference methods [25, 26]. However, because they allow real-time monitoring, are easy to use, not operator dependent and not affected by electrocautery, pulse contour methods have become in a few years the clinicians’ preferred choice for the hemodynamic management of patients undergoing major noncardiac surgery .
The arterial pressure curve can be recorded from an arterial line, but also noninvasively, from finger arteries with the volume clamp method , from the radial artery by applanation tonometry  and soon from a brachial cuff by hydraulic coupling . The arterial pressure waveform can also be captured from any bedside monitor by a cell phone camera, and hemodynamic parameters can be computed by a downloadable application [31, 32]. This last option has not yet been approved for clinical use, but it illustrates the ability of digital technologies to push the envelope of hemodynamic monitoring practices.
New pressure sensors
Regional perfusion monitoring
A myriad of new technologies is also becoming available to explore regional perfusion: sublingual microcirculation, gastric mucosal perfusion, thumb muscle oxygenation, brain perfusion and oxygenation, just to mention a few. Usability of these tools remains an issue, but some have gained in practicality and reproducibility over the last few years . Of note, a recent consensus of hemodynamic experts  considered that the use of these techniques should be limited to research until we can answer the following questions: When should we treat a decrease in regional perfusion (some may be adaptive mechanisms, such as kidney and skin hypoperfusion during hemorrhage), how should we treat them, and does it impact outcome?
Metabolic sensors are also evolving. In patients with an arterial catheter or a central venous catheter, in situ measurements of blood gases and electrolytes are now possible . They allow on demand measurements, quick results (no need to send anything to the laboratory), without any blood loss (no blood sample). Electronic tattoos or biostamps are currently under development. They are rubber patches that have a layer of flexible silicon wires (Fig. 5). The idea is to create an electronic device that is thinner than a sheet of paper, as flexible as a Band-Aid , and that can stick to the skin . Beside their ability to record and transmit vital signs, these sensors have the potential to measure electrolytes and lactates in skin fluids . If reliable, they may bring further opportunities such as remote metabolic monitoring in patients with chronic disease.
Toward home monitoring
During decades, cardiovascular monitoring belonged to high-level specialists working in specific locations such as catheterization laboratories, operating rooms and intensive care units. Today we enter into a new era where, thanks to wearable or implantable sensors, hemodynamic monitoring will become possible from home. It will create as many opportunities as it raises questions: Who should regulate the use of these new products and software applications, what and where is the frontier between medical and consumer products, can we trust the measurements, what should be monitored and in whom, who is going to receive, interpret and protect the information, what is the impact on patient care, and who is going to pay for this?
Connectivity is the third transformation we can expect on a relatively short-term basis. It is a challenge for industry but a necessity for clinicians and patients. To quote Dr. Pronovost , director of the Armstrong Institute for Patient Safety and Quality at Johns Hopkins (Baltimore, MD, USA), “Imagine if Boeing were putting together an airliner and the maker of the landing gear were to say ‘we’re not going to send a signal to the cockpit to tell you if the landing gear is up or down, you’re going to have to guess’. Imagine if Boeing said ‘that will kill people and cost a lot of money, but if you don’t want to send the signal, don’t worry about it’. That is essentially what we, as health-care providers, are doing when we buy devices for the intensive care unit that can’t talk.” Some safety advantages of connectivity are obvious such as the communication between pumps delivering vasopressors and systems measuring arterial pressure. Cross-checking monitoring information coming from different sources (e.g., heart rate from EKG and pulse rate from pulse oximetry) may also decrease false alarms  or provide additional diagnostic information (e.g., the detection of electromechanical dissociation).
Beside its safety advantages, connectivity opens the door to data integration. First, it allows the automatic calculation of derived parameters such as oxygen delivery (requiring cardiac output, hemoglobin and arterial oxygen saturation at the same time) or transmural pulmonary artery occlusion pressure (requiring simultaneous pressure measurements from the pulmonary artery catheter and the mechanical ventilator), just to mention a few.
Second, data integration is the opportunity to build a more holistic representation for every patient. Hemodynamic parameters alone are usually insufficient to capture the whole clinical picture and hence select the optimum therapy. What are the comorbidities, what did the echocardiography show, are the lactates elevated, is the patient hypoxemic, does the patient receive inotropes or vasopressors, is he mechanically ventilated, is a PEEP applied? These are all basic questions part of the interpretation of hemodynamic variables. Integration of all monitored variables together with the patient’s history and laboratory tests coming from electronic medical record (EMR) systems opens the doors to the development of smart systems (artificial intelligence) able to suggest a diagnostic and/or a treatment, and even to deliver therapy (closed- or open-loop systems) . Recent studies have investigated the feasibility of closed-loop systems to automatically administer fluid during the perioperative period . As of today, such systems use only a few hemodynamic parameters as input variables. Their goal is to the decrease variability in fluid management during surgery, a large variability being associated with poor outcome . Connectivity and data integration may allow the development of controllers able to process multiple parameters at the same time and hence guide or unload clinicians in more complex clinical situations.
Data integration is also the cornerstone of predictive analytics. Predictive analytics are statistical methods (predictive modeling, machine learning, data mining) analyzing current and historical data to make predictions about the future. This is an intense area of research for experts in medical informatics. The complexity of predictive algorithms is limitless, but the principle is simple: The combination of several parameters (usually vital signs) and the automatic recognition of specific patterns allow the detection of adverse events, earlier than the classical side-by-side monitoring of single parameters . Lockheed Martin, the American aerospace and defense leader, claims it is able to diagnose sepsis 14–16 h before doctors , by monitoring heart rate, respiratory rate, blood pressure and body temperature and using smart algorithms they initially developed to predict… the trajectory of missiles! Other algorithms have been developed to predict cardiorespiratory deterioration . In this regard, predictive analytics may be useful to trigger the intervention of a rapid response team (RRT) and accelerate ICU admission (for patients in the ward or the emergency department) or to postpone ICU discharge for patients who are about to leave the unit. The simplification of monitoring systems, becoming smaller, smarter  and even wireless [53–55], should boost the clinical applicability of predictive analytics. Although a very exciting and promising research field, one have to acknowledge that these systems will never be able to predict the unpredictable, i.e., external interventions (vasoactive or inotropic drugs administration, mechanical ventilation) or accidents (surgical bleeding due to vessel injury) which are often the cause for changes in hemodynamic status and patient outcome.
In 5–10 years from now, we can easily imagine a world where clinicians will learn hemodynamics with simulators and serious games and will monitor their patients with wearable or implantable sensors in the hospital and also after discharge. In the future, clinicians will use medical devices that communicate and integrate the clinical, physiologic and biological information necessary to predict adverse events, prevent medical errors, propose the most rationale therapy and ensure it is delivered properly. Many questions remain unanswered, and studies will have to demonstrate this in silico progress has clinical value and ideally is cost-effective. But considerable intellectual and financial investments are already made, from small and innovative start-ups to giants like Apple, Google and Microsoft, to ensure that some of these new ideas and products become soon a reality . Welcome to the digital health era!
intensive care unit
electrical impedance tomography
positive end-expiratory pressure
Frederic Michard thanks Peter Clayton and James Whitesides for English editing of the manuscript.
Frederic Michard has been a consultant for Pulsion Medical Systems, UP-MED, Dixtal and Hamilton Medical, and an employee of Edwards Lifesciences (Medical Director & VP, Global Medical Strategy). He is the founder and director of MiCo Sàrl, a consulting firm providing services to MedTech companies and digital health start-ups.
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