The advent of continuous remote patient monitoring (CRPM) has brought many benefits to physicians and at-risk patients. With CRPM, wearable medical devices have become the standard to deliver AI-assisted analytics for more accurate diagnoses, real-time data, responsive alerts related to patient vital signs, and other crucial advantages over traditional remote patient monitoring devices. There is, however, one issue that has offset the multitude of benefits of wearable CRPM medical devices: patient compliance. Patients can wear the device improperly, not charge the device consistently, or facilitate other complications. In this article, we take a look at how wearable medical devices improve patient compliance with AI technology and how the Oxitone 1000M is uniquely designed to deliver the highest rate of compliance on the market.
How Pairing AI and Wearable Medical Devices Improves Patient Compliance
AI has vast predictive capabilities that incentivize a patient to wear a CRPM medical device as intended. Physicians that prescribe these AI-enabled wearable devices to at-risk patients can target patients with diminishing vital signs well before an observable trend is discovered. Similarly, patients who are not taking prescribed medications or engaging in prohibited behaviors (e.g., vigorous exercise) can be alerted via monitoring. Responsive AI alerts can inform patients and physicians of these behaviors in real time, creating a more proactive intervention.
Physicians can create a positive trend of patient wellbeing by prioritizing the correct usage of these devices. If patients have reduced stress and anxiety, they can better manage risks through compliance on a long-term basis.
In essence, patients can gain peace of mind knowing that a highly intuitive system is watching their vital signs around the clock. Those who are aware of risks through AI’s predictive capabilities are more likely to properly use a device that removes stress and improves their overall level of healthcare. Additionally, these alerts and interventions lead to a further reduction of patient cost of care and unnecessary medical intervention.
Aggregated Data for Optimized Patient Care
AI learns from comprehensive and diverse data sets to provide multiple views of patient behavior. This not only predicts non-adherent patient behavior but also continually improves the accuracy of measurements, alerts, responsiveness, and so forth.
Data aggregated from collected patient details enables an enhanced level of compliance by collecting specific, detailed, and accurate information about all monitored patients, not just isolated cases or through individual patient data. These insights enable the application of predictive algorithms and the ability to detect any deviations from the patient’s established baseline. For example, if a new drug is administered, the efficacy of treatment can give physicians accurate data on such metrics as heart rate, blood pressure, quality of sleep, etc.
Better Security
With identity theft, cyber-tampering, and other forms of malicious hacking now ever-present threats to networked devices, wearable medical devices improve patient compliance only if they can guarantee that the patient is secure.
AI can recognize patterns in data to enable security systems that detect irregularities in access patterns (e.g., when a patient is not in a healthcare facility or outpatient clinic) if unauthorized access is granted to unauthorized healthcare providers, and it can ensure compliance with regularly updated HIPAA regulations.
Automated Software Updates and Improvement
Traditional RPM devices suffer from patient compliance in regards to accurately updating software, which may require direct patient intervention. Because AI aggregates data from patient populations to continually improve accuracy and effectiveness, new data continuously optimizes performance in AI-enabled wearable devices.
Better Financial Outcomes for Providers and Patients
Perhaps one of AI’s most significant contributions to healthcare is the ability to streamline care through patient compliance, which results in better financial outcomes. The following are a few examples of this effect:
- Insurance claims require less investigation to approve or deny claims based on accurate data collection.
- Physicians aren’t overburdened with non-emergency patient visits.
- Patients will visit healthcare providers only when necessary, reducing financial burdens, especially for those with chronic long-term conditions.
- There is a reduction in unexpected complications and readmissions, which may lead to malpractice lawsuits and more expensive procedures.
Oxitone 1000M: Enhancing Remote Patient Monitoring
Artificial intelligence and wearable medical devices improve patient compliance. For the best in AI‐based healthcare, Oxitone’s 1000M is the clear choice for physicians and at-risk patients.
The Oxitone 1000M was built for comfort to aid in patient compliance. The 1000M has a FlexSense aperture that gently embraces the ulna bone of wearers, providing an enhanced comfort level for patients while maintaining excellent usability. Because of this design, patients are more likely to properly wear the device and benefit from it.
The 1000M is also one of the first of its kind, as an FDA 510(k)-cleared medical device for continuous monitoring that leverages AI’s superior monitoring continuity while ensuring an exceptional level of reliability.
Here at Oxitone, we boost value-based healthcare by delivering extraordinary patient, clinical, and economical outcomes at reduced medical utilization and cost. Patients need a prompt response to emergencies. Physicians need an easy and timely follow-up with patients. Our mission is to transform chronic disease management and help save lives worldwide.
Let’s save lives together! To see how we help remote patient monitoring companies and physicians improve the management and care of high-risk patients, contact us today!