Via HIT Consultant, written by Syed Hamza Sohail
What You Should Know:
- Healthcare providers face the difficult challenge of coping with an ever-increasing workload while still providing high-quality patient care and trying to retain their staff.
- As the CEO of CalmWave, Inc., Ophir Ronen is an expert in both patient outcomes and staff retention who understands the importance of leveraging AI technologies to reduce alarm fatigue and deliver more efficient quiet care.
Delivering Efficient Care by Reducing Alarm Fatigue
Alarm fatigue is a critical issue that plagues the healthcare industry, particularly in intensive care units (ICUs) and critical care settings. It occurs when healthcare professionals become desensitized to the constant barrage of beeping alarms from medical equipment, which can lead to missed or delayed responses to life-threatening situations. The over-reliance on alarms often results in false alarms, creating a sense of mistrust and a potentially hazardous environment for patients and clinicians. This problem has been exacerbated by the increasing complexity of medical technology and the consequent proliferation of alarms.
CalmWave, Inc., is an innovative solution that addresses the alarm fatigue problem. By leveraging artificial intelligence and machine learning, CalmWave, Inc., filters out unnecessary alarms and alerts healthcare providers only when it detects critical events, thereby enhancing patient safety and improving clinical outcomes. CalmWave, Inc.’s, technology is highly relevant as it enables clinicians to focus on the most critical patient needs and make more informed decisions, improving the overall quality of care delivered in healthcare settings.
In an interview with HIT Consultant, Mr. Ophir Ronen (CEO CalmWave, Inc.) talks about the importance of AI-driven solutions to alarm fatigue.
How can digital health help healthcare providers balance workloads while still delivering quality care?
Ophir Ronen, CEO of CalmWave, Inc.: Digital health can revolutionize healthcare by optimizing operations health and streamlining workflows, allowing healthcare providers to balance workloads while maintaining high-quality care. One of the critical aspects of digital health is the ability to leverage and activate the vast amounts of data generated by various systems, such as electronic health records (EHR) and connected devices.
By aggregating medical data from multiple sources, including vital signs, EHR, and clinician attrition data, digital health solutions can help identify optimal clinical workloads. Artificial intelligence (AI) plays a crucial role in analyzing this data to generate objective measures to enhance staffing and workflow efficiency.
Furthermore, digital health can alleviate the burden of non-clinical tasks on healthcare providers by automating these processes. This automation allows clinicians to focus on patient care, ensuring the highest quality outcomes. By optimizing workloads and streamlining processes, digital health enables healthcare providers to work at the top of their licenses, benefiting patients and healthcare systems.
How can AI improve nurse retention and patient outcomes?
Ronen: AI has the potential to significantly improve nurse retention and patient outcomes by addressing critical challenges faced by healthcare professionals, such as alarm fatigue and non-value-added work. By optimizing medical alarm systems and reducing non-actionable alarms, AI can create a more manageable work environment for nurses, increasing job satisfaction and reducing turnover.
In Intensive Care Units (ICUs) around the world, an overwhelming number of alarms (85-99%) are non-actionable, contributing to alarm fatigue, stress, and patient disturbance. AI can aggregate alarm data from various sources, such as pulse oximeters and blood pressure cuffs, to identify optimal thresholds that minimize non-actionable alarms. As a result, the clinical work environment improves, leading to higher nurse retention, and patients can rest more effectively, enhancing their recovery.
Moreover, AI can help alleviate the burden of non-value-added tasks that clinicians face daily. Nurses often spend a significant portion of their time on non-clinical work, which can contribute to burnout and attrition. By automating these tasks, AI allows nurses to focus on patient care, leading to better job satisfaction and patient outcomes.
An example of AI in action is the CalmWave Operations Health AI Platform. This platform analyzes the constant flow of data from vital signs monitors to provide objective measures of clinical workload. It identifies clinicians at risk of burnout, enabling healthcare leaders to make informed decisions and implement strategies to improve nurse retention.
Given the concerns about clinician burnout, what role does reducing alarm fatigue with data-driven insights have in combating burnout?
Ronen: Reducing alarm fatigue through data-driven insights is essential in combating clinician burnout and improving patient care. As a significant contributor to stress and cognitive overload, alarm fatigue can negatively impact healthcare providers’ mental well-being and job satisfaction.
AI-based solutions, such as CalmWave, can identify the sources of non-actionable alarms and provide data-driven recommendations for clinicians to make informed decisions. By offering real-time insights, these AI platforms enable healthcare professionals to adjust alarm settings efficiently, ultimately reducing false alarms and creating a more manageable work environment.
Reducing alarm fatigue benefits not only clinicians but also patients. Quieter environments allow patients to rest more comfortably, contributing to faster healing and better overall outcomes. By addressing alarm fatigue, AI solutions can significantly enhance the quality of care and support healthcare providers in their mission to provide the best possible patient care.
What are some of the barriers to implementing AI-driven solutions aimed at combating alarm fatigue and clinician burnout in healthcare settings?
Ronen: Implementing AI-driven solutions to combat alarm fatigue and clinician burnout in healthcare settings faces several barriers, including organizational complexity, risk aversion, cost, data privacy, and clinical risk concerns. Hospitals, being highly complex systems with multiple stakeholders and priorities, often need extensive testing and proven effectiveness to adopt new technologies.
Despite these challenges, AI-driven solutions like CalmWave’s Operations Health Platform can offer significant benefits in reducing costs, maintaining data security, and improving patient care. By providing objective measures of clinician workload, the platform helps to enhance nurse retention, reducing the financial burden of nurse attrition in hospitals.
CalmWave’s platform is also SOC2 Type II certified, ensuring that data remains secure and protected. Regarding patient care, the platform reduces non-actionable alarms, alleviating alarm fatigue for healthcare providers and creating a more conducive environment for patients to rest and recover.
Current healthcare systems are overwhelmed, understaffed, and under-resourced, making it difficult for clinicians and leadership to explore new solutions. Some AI implementations require lengthy integration processes and extensive training, adding to this challenge. However, CalmWave’s human-centric design philosophy focuses on minimizing implementation complexity, providing just-in-time training, and enabling clinicians to use the platform to optimize care readily. Overcoming these barriers and embracing AI-driven solutions like CalmWave can significantly enhance healthcare delivery and benefit both patients and providers.
What are other promising implementations of AI that can help alleviate clinician burnout?
Ronen: Several promising AI implementations under development aim to alleviate clinician burnout. One such development involves integrating patient bedside monitoring equipment, allowing AI-driven platforms like CalmWave to analyze data more effectively and ensure better alarm management.
AI can also actively map individual alarms to specific incidents, generating alarms based on the overall incident rather than each individual alarm. This approach reduces alarm fatigue and cognitive overload, creating a more manageable work environment for healthcare professionals.
In addition to bedside monitoring integration, AI can help reduce paperwork burdens by automating documentation processes, freeing up more time for clinicians to focus on patient care. Increasing efficiency in administrative tasks further lowers the risk of burnout among healthcare providers.
AI can also assist in clinical decision support by analyzing large amounts of patient data and providing healthcare professionals with accurate and timely insights for informed decision-making. This enhancement of care quality reduces the cognitive load on clinicians and contributes to decreased burnout and improved job satisfaction.
What impact does ‘quiet care’ have on the patient?
Ronen: Quiet care promises to revolutionize care for critically ill patients by providing a truly quiet, peaceful, and restful environment in the ICU, something that has been missing since the beginning of continuous patient monitoring. Clinicians once believed that they and their patients had no choice but to tolerate the noise from monitors, but CalmWave technology is changing that perspective.
Other patient populations, such as those in Neonatal Intensive Care Units and Pediatric Intensive Care Units, have already benefited from noise reduction efforts, recognizing the harm noxious stimuli can cause premature infants, newborns, and children. Studies on Labor & Delivery patients have shown that quieter, peaceful laboring environments lead to more relaxed mothers with lower blood pressure, less labor pain, and calmer babies.
Research also indicates that high noise levels, including alarm noise, in ICUs can negatively affect patients’ sleep quality and duration. Insufficient sleep can increase the risk of developing delirium, an altered mental state, with potential long-term effects. Reducing non-actionable noise in ICUs significantly improves patients’ ability to recover, as they can rest and heal properly. Quiet care allows clinicians to provide the best care to patients without distractions from non-actionable alarms, ultimately optimizing patient recovery and outcomes.