Social Barriers that Hinder Digital Health Capabilities The implementation of digital health capabilities is hindered by several barriers, with a portion revolving around social determinants. This is often due to factors such as digital literacy, social dynamics, access to technology, and human behavior. For instance, those 65 years and…
Background into Digital Health Maturity Digital health maturity clarifies the extent and level to which digital systems are structured and how they respond to digital technology [1]. Furthermore, digital health maturity focuses on how an organization promotes digital transformation throughout the organization [1]. Factors to consider when discussing digital…
Background into a VNA A vendor-neutral archive supports vendors often using various formats and systems for imaging technologies. Often, VNAs don’t depend on the software used by the vendor to promote sharing [1]. This allows healthcare providers to utilize different imaging technologies within one archive so that it can…
Imaging Implemented into Wearables Promotes Long-term Monitoring Imaging technology is an efficient tool to aid patients in receiving accurate and fast diagnoses. However, symptoms may change or worsen over time. This is where long-term devices come in, especially wearables which provide real-time monitoring. Some of the biggest challenges revolve…
Types of Imaging Modalities Medical imaging is useful in providing accurate diagnostics to patients as well as creating optimal treatment plans [1]. Different diseases often require other technologies to be imaged so doctors can get a better look at specific organs. The first radiology modality is X-rays. X-rays are…
Unifying Access to Medical Imaging Medical imaging provides a crucial role in both diagnosing and preventing a multitude of health conditions. However, medical imaging must overcome the challenge of providers and patients being unable to access the images or technology. For instance, two-thirds of the world’s population lacks access…
AI Enhances Clinical Decisions The use of artificial intelligence is increasing in the healthcare industry. Its popularity is partly due to its ability to promote human-centered design. One way that artificial intelligence achieves this is through the use of clinical decision support systems (CDSS). For instance, CDSS enhances human…
Current Readiness of Older Patients for Emergencies Older patients may feel like they are ready and prepared to handle an emergency situation, however, a poll showed that many lack the preparation needed to manage one [1]. For instance, some older patients have not signed up for notifications that a…
Concerns for Patients When AI is Used The use of AI in healthcare is becoming increasingly mentioned due to its ability to transform personalized medicine. However, some patients may be concerned about the impact that AI will have on their care. First, a study was done where 31% reported…
Healthcare Professionals Fearful of Being Replaced By AI Artificial intelligence is constantly mentioned as the next step in advancing the healthcare industry. Therefore, it’s not surprising that 44% of healthcare professionals are afraid of being replaced by AI [1]. This is due to the automation that artificial intelligence provides,…
