{"id":2278,"date":"2022-01-15T22:09:17","date_gmt":"2022-01-15T21:09:17","guid":{"rendered":"https:\/\/www.medsyscon.com\/?p=2278"},"modified":"2022-01-15T22:19:14","modified_gmt":"2022-01-15T21:19:14","slug":"blog-wearables","status":"publish","type":"post","link":"https:\/\/www.medsyscon.com\/en\/blog-wearables\/","title":{"rendered":"Advancing Patient Care With Wearable Medical Devices"},"content":{"rendered":"\n
Sara Cinnamon, Amy Hung, Tobias Silberzahn, and Eli Weinberg (McKinsey) wrote in the current issue of meddeviceonline: \u201cWhile wearable medical devices offer the opportunity to monitor, diagnose, and deliver individualized care to patients, adoption by clinicians has yet to gain significant traction. However, the COVID-19 pandemic has raised awareness of wearables and how they can provide clinical benefit in a remote setting. Many medical practitioners and patients were introduced to new ways of delivering care, including expansion of existing telemedicine and remote patient monitoring.<\/p>\n\n\n\n
Traditionally, mainstream wearables familiar to consumers were not developed with clinical rigor from the outset. Medical devices have a high bar for accuracy and validation to integrate and deliver the type of data required for clinical use within the healthcare delivery ecosystem. Consumer devices often leverage less-accurate sensors or inferred measurements to support informational and non-medical feedback to the user. Seeing the evolving remote care trends and revenue potential of clinical use, consumer device makers have begun closing that gap. For example, Apple has received FDA clearance for the ECG function on the Apple Watch, opening the door for its use in clinical settings. Oura, maker of a smart ring that senses activity, sleep, body temperature, and heart rate variability, has partnered with UCSF to create an in vivo trial to rapidly collect correlative data between biomarker changes and COVID-19 diagnoses to inform a diagnostic algorithm.<\/p>\n\n\n\n
In fact, research shows the wearables market is estimated to grow considerably, with 19 percent CAGR from 2020 to 2030, representing potential economic value of $0.5-$1.8 trillion by 2030. This growth includes consumer, industrial, and medical applications, but market activity indicates significant promise (and movement) in the healthcare domain:<\/p>\n\n\n\n
In 2020, global shipments of hearables, watches, wristbands, and other wearables stands at 444.7 million units<\/li>
Investors have committed more than $400 million to wearables-focused startups since 2015<\/li>
Large medical device companies are acquiring smart devices, such as Stryker\u2019s acquisition of OrthoSensor and Boston Scientific\u2019s acquisition of Preventice Solutions<\/li>
Academia continues to drive innovation in ever smaller technology, with advances in implantable chips from UC Berkeley, flexible batteries from Stanford University, and flexible sensors from the University of Illinois at Urbana-Champaign<\/li><\/ul>\n\n\n\n
Device manufacturers are well positioned to capitalize on this unique opportunity. However, to deliver devices useful for clinicians and patients, wearable technologies must advance further. Breakthroughs in healthcare will likely come from devices that not only accurately measure disease-specific biomarkers at home but also provide real-time contextual data on other features that affect disease management. These insights must be shared via a simple user experience to encourage patient adoption and must demonstrate improved medical care and reduced costs to providers and payers.<\/p>\n\n\n\n
Based on our experience, wearable device manufacturers and service providers should focus on three areas to ensure success in the market:<\/p>\n\n\n\n
Meeting and exceeding user needs<\/li>
Delivering rigorous, compliant data and insights for the entire patient care ecosystem<\/li>
Crafting a viable business model<\/li><\/ol>\n\n\n\n
Here, we provide an overview of each focus area. In future articles, we\u2019ll dive more deeply into each.<\/p>\n\n\n\n
1. Meeting And Exceeding User Needs<\/h1>\n\n\n\n
Patients and clinicians expect sufficient long-term benefits in exchange for using wearable devices, what can be called \u201creturn on engagement.\u201d<\/p>\n\n\n\n
For patients, return on engagement translates into benefits such as reassurance that a professional is monitoring them and able to deliver care above and beyond what point-in-time visits can offer. They expect this to come with minimal discomfort from the ongoing use of these devices. If the device is uncomfortable or creates substantial burden on patients\u2019 daily routines, they won\u2019t use it. As a result, strive to develop smaller, less obtrusive devices with longer battery life. Device designers must also understand how physical and cognitive ergonomics affect device operation and data comprehension. Patient interactions with the device should be simple, seamless, engaging, and personal.<\/p>\n\n\n\n
Clinicians\u2019 return on engagement can be realized by integrating device read-outs into their current systems and workflows seamlessly, as well as by generating insights that they wouldn\u2019t be able to infer otherwise. Devices and associated services that combine wearable data with real-world data sources to reveal patterns and trends will give clinicians a more comprehensive picture of patient health compared with point measurements in the doctor\u2019s office, enabling more efficient disease management.<\/p>\n\n\n\n
For both clinician and patient, safety, data security, and efficacy are table stakes, with correlation to better patient outcomes the ultimate sign of success.<\/p>\n\n\n\n
2. Delivering Rigorous, Compliant Data And Insights For The Entire Patient Care Ecosystem<\/h1>\n\n\n\n
The data collected by wearables must be sensitive, specific, clinically validated, and offer more than that available through current standards of care. Such rich data will enable a better understanding of disease progression, more precise patient segmentation, and, ideally, better clinical outcomes.<\/p>\n\n\n\n
However, the data alone won\u2019t provide this level of value. Wearables must also deliver a level of contextualization and analysis that requires robust algorithm development hand-in-hand with device development (e.g., to accommodate individual variations and provide clear clinical insights). These insights must then be visualized and displayed in a way that is easy for users to comprehend and act upon.<\/p>\n\n\n\n
Device makers must also consider the needs and requirements of other stakeholders in the patient care ecosystem, including payers, hospitals, and regulators. Data serves as the connective tissue that enables this ecosystem to better work together for the good of the patient, making it critical that these stakeholders can share and communicate the data and insights seamlessly. Industry standard protocols such as FHIR or HL7 enable interoperability to ensure all stakeholders have access to the right information at the right time. As a result, consider how your device\u2019s data will be transferred to the electronic health record for clinician review or how it will interact with third-party APIs.<\/p>\n\n\n\n
Finally, data storage and transfer must comply with industry regulations \u2014 such as HIPAA, GDPR, PIPEDA, and CCPA \u2014 and best practices for privacy and security. For instance, use industry-standard encryption for data on devices and during transmission, and prevent or mitigate unauthorized access to devices, smartphones, and servers. As regulations evolve, such as with the European Commission\u2019s recently announced legal framework for trustworthy AI, so must manufacturer approaches.”<\/p>\n\n\n\n
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