Articles related to PATIENT MONITORING

Examine how programs like Hospital at Home are changing the face of healthcare, providing acute treatment outside of hospitals, enhancing patient outcomes, and ushering in a new era of patient-centered care.

As the market for wearable healthcare devices evolves at a significant pace, physicians will find valuable insights into shifts in usage patterns, demographics, and device popularity in this recent survey.

Dexcom’s innovative continuous glucose monitor is set to transform the management of type 2 diabetes for non-insulin users in the US, offering personalized insights to help them optimize their lifestyle choices while minimizing the need for insulin.

Explore the impacts of sickle cell disease on ocular health through an insightful case study of an 11-year-old patient. Uncover the significance of vigilant monitoring, the promise of spontaneous regression, and the crucial role of various diagnostic tools in managing sickle cell retinopathy.

Revolutionizing Sleep Apnea Diagnosis with Wearable Technology Tackling the increasing prevalence of sleep disorders like sleep apnea, Georgia Tech researchers have brought a paradigm shift in the field of sleep diagnostics. Their development of a wearable sleep monitor patch, characterized by its accuracy and comfort, offers the promise of a more accessible and cost-effective means of diagnosing sleep disorders, revolutionizing the way sleep medicine is practiced.

AI technologies are reshaping the world of nursing, creating opportunities for enhanced patient care and efficiency in healthcare delivery. In this ever-evolving landscape, nurses can use AI to guide decisions, take autonomous actions, and predict risks, making them critical players in this transformation. Clinical decision support tools, empowered by AI, assist nurses in making informed clinical decisions. These tools, such as alerts in the electronic health record (EHR), clinical practice guidelines, and order sets, boost the accuracy and specificity of predictions and suggestions beyond human capacity. For example, AI algorithms can accurately predict fall risks and suggest interventions, ensuring patients’ safety while reducing human error. Meanwhile, mobile health and sensor-based technologies are paving the way for remote patient care. These technologies, amplified by the COVID-19 pandemic, allow nurses to deliver care and monitor patients with limited resources, proving particularly beneficial for managing chronic illnesses. Through smartphones, apps, and wearable technologies, nurses can receive real-time data about patients’ health and respond accordingly. In addition to these, voice assistants and robotics are joining the nursing workforce. Voice assistants like Alexa and Google Assistant can potentially collect patient data and remind patients about medication or checkups, easing the load on nursing staff. Similarly, […]