Medical Telehealth Approaches Pros and Cons

The Issue of Medication Nonadherence

Introduction

The article by Gliadkovskaya (2023) highlights the limitations of the current healthcare system in effectively tracking medication adherence, a shortcoming that the CEO of Assure Health, Jeffrey Nadel, describes as \"flying blind\" when it comes to making sure patients are doing what they are supposed to be doing (Gliadkovskaya, 2023). However, the emergence of Remote Therapeutic Monitoring (RTM), which is a mechanism that uses medical devices to monitor patient responses to treatment through non-physiological data, suggests that a possible solution is at hand

RTM provides actionable insights that can enhance diagnostic accuracy and targeted interventions, thereby improving patient outcomes and reducing costs (Axelrad et al., 2022). Yet, in spite of a potential embrace of this new technology by the healthcare industry, the shift towards home-based care also brings its challenges, such as the risk of medication nonadherence. Thus, this subject is of considerable importance. In Gliadkovskaya’s article it is revealed that survey panelists emphasized the importance of adherence, especially in home-based care, to insurers. However, they noted that current federal value-based programs lack sufficient incentives for adopting this technology, representing a missed opportunity. There were also expressed concerns about creating further fragmentation in patient care, emphasizing the need for technology to augment, not replace, primary care providers.

The Gliadkovskaya (2023) article also explores how a human touch, alongside technology, can improve patient engagement, particularly with senior patients. In the article, panelists discussed the transition to value-based care and the necessary policies to promote the adoption of RTM, emphasizing the need for more data to guide future decisions and applications.

Rationale for Choosing the Topic

Medication nonadherence is an important issue in contemporary healthcare (Pina et al., 2021). With the prevalence of chronic diseases necessitating long-term medication regimes and the universal shift towards value-based care, the importance of adherence becomes more pronounced. Inefficiencies and gaps in current adherence monitoring have serious clinical implications and lead to substantial financial burdens on the healthcare system (Pina et al., 2021). The introduction of RTM provides a potential solution, however, and its intersection with adherence presents a new avenue for improving patient outcomes and healthcare economics (Gliadkovskaya, 2023). Therefore, the chosen topic is not only relevant but also instrumental in understanding future healthcare trends.

Potential Impact on Practice

Positive Impact

RTM can significantly improve patient outcomes by ensuring effective monitoring of medication adherence, translating into more effective treatment outcomes (Mosnaim et al., 2022). This advanced technology could lead to a considerable reduction in healthcare costs by minimizing avoidable hospitalizations and managing disease complications efficiently. In this way it can be a big help to patients.

Furthermore, RTM can provide valuable data in near-real-time, allowing healthcare providers to make informed, proactive decisions regarding patient health. The integration of care can also be optimized with RTM, leading to personalized, comprehensive, and coordinated care. For example, suppose a patient with a chronic condition such as hypertension is prescribed a new medication. Without RTM, healthcare providers would have to rely on the patient\'s self-reported data about their symptoms, side effects, and their overall response to the medication, often collected weeks or months later during a follow-up appointment. This information might not be entirely accurate due to human errors, memory recall issues, or even non-disclosure.

But with RTM, the patient\'s response to the medication can be monitored in near-real-time using medical devices. For instance, a connected blood pressure monitor can track the patient\'s blood pressure readings throughout the day and instantly transmit this data to the healthcare provider (Omboni et al., 2020). This data can give extra insights into how the patient\'s body is responding to the new medication. If the readings suggest that the patient\'s blood pressure is not being adequately controlled, the healthcare provider can quickly intervene by adjusting the medication dosage or trying a different treatment, rather than waiting until the next scheduled appointment. This improves the quality of care for the patient.

This proactive approach can, therefore, prevent the worsening of the patient\'s condition, decrease the likelihood of hospitalization due to uncontrolled hypertension, and even potentially save the patient\'s life in extreme cases. Plus, RTM allows for improved integration of care. The data generated by RTM can be shared with all the healthcare professionals involved in the patient\'s care, promoting better coordination among the team. For example, the primary care physician, cardiologist, and pharmacist can all have access to the same real-time data and make collaborative decisions based on it. This data-sharing can lead to personalized, comprehensive care where all treatment decisions are based on the patient\'s latest health status, ensuring optimal outcomes.

Negative Impact

Despite the potential benefits, there are certain drawbacks associated with RTM. The integration of such advanced technology in routine practice might be impeded by technological barriers, particularly among older populations or those with lower digital literacy. Therefore, those with limited access to technology, internet connectivity, or low digital literacy might find it challenging to use RTM devices. This problem is often prevalent among older populations who might not be as comfortable or familiar with using digital devices as younger generations. They might find it hard to understand how to use the devices, interpret the data they generate, or troubleshoot any problems that might arise. This digital divide might limit the reach and effectiveness of RTM, leaving out those who could potentially benefit the most from it, such as elderly patients with multiple chronic conditions.

The increased collection and handling of sensitive patient data might also raise concerns about data security and privacy. As RTM involves the collection and transmission of extensive amounts of sensitive health data, it naturally raises these concerns. Any data breaches or unauthorized access to this data could lead to serious consequences, such as identity theft or other forms of exploitation. Patients might be hesitant to use RTM devices if they are not confident that their data will be securely handled and stored. Therefore, healthcare providers and technology companies need to implement robust data security measures and educate patients about these measures to build trust and ensure the successful adoption of RTM.

Another potential hurdle is the fact that the implementation of RTM in healthcare settings also comes with financial implications. There are costs associated with purchasing the devices, integrating them with existing healthcare systems, training healthcare providers and patients on their use, and maintaining and updating the devices and software (Smuck et al., 2021). These costs might be too high for some healthcare providers, particularly small practices or those in low-resource settings.

Plus, even if healthcare providers are willing to bear these costs, they might face challenges in getting reimbursed by insurers. As RTM is a relatively new technology, many insurance companies might not have clear policies on reimbursing for RTM services. Even if they do, the reimbursement rates might not be high enough to cover all the associated costs. Therefore, healthcare providers might be hesitant to adopt RTM until there is clearer guidance and more generous reimbursement from insurers.

Role of Informatics Skills and Knowledge

The integration and effective utilization of RTM in healthcare practice requires significant informatics skills. These technologies rely heavily on data, necessitating proficiency in data management and analysis. The real value of the data RTM provides lies in one’s ability to interpret the data to generate actionable insights. Informatics professionals are trained to understand the clinical implications of data, enabling them to translate it into meaningful information that healthcare providers can use. For example, if the data shows a consistent increase in a patient\'s blood pressure readings, an informatics professional could alert the care team that the patient\'s hypertension might not be adequately controlled, prompting them to consider adjusting the treatment plan. For the successful implementation of RTM, a robust understanding of healthcare systems, standards, and protocols is required. Informatics skills also come into play when interpreting the data generated from RTM, translating it into actionable insights, and using this data to improve patient care.