Intro to Bias in AI AI in healthcare is becoming increasingly discussed due to its ability to enhance human intelligence. However, it’s important to discuss algorithm bias that reflects human biases found in care. Furthermore, it’s important to note that bias can exist not only in the algorithm but also in...
Last year, we predicted our critical hot topics for healthcare that we expected to advance throughout the year. Although we have come a long way in a short amount of time, there are still ways that technology will advance so that patients have better outcomes and increased engagement. This year,...
Perception of Augmented Intelligence Augmented intelligence is known for its ability to improve diagnosis, detect patient patterns, and predict various outcomes [1]. Some adults worry that artificial intelligence will replace the need for humans and would be destructive to healthcare. However, it’s important to clarify that augmented intelligence improves human intelligence....
Overview of Key Issues Going into 2023 Earlier in 2023, we predicted that the healthcare industry would see more personalization and prevention options for patients [1]. Some key issues included a bias towards minority groups, the lack of patient engagement, and the need for improved collaboration between providers and patients. This...
Obstacles to AI Deployment The private sector generally has more freedom when it comes to implementing AI compared to the public sector. This is because the public sector faces additional barriers and resistance related to finance, limited resources, and a lack of information on technology [1]. Oftentimes, machine learning requires an...
Introduction Hybrid cloud computing provides private and public cloud options that are secure and allow data transfer between different platforms. Currently, patients’ medical records are kept with different systems, making it harder for providers to securely and efficiently share data. Cloud computing systems provide an effective solution to this problem by...
Background Data Overload & Interoperability Issues Provider engagement creates strong relationships between hospitals and healthcare professionals that result in better health outcomes for patients. However, interoperability doesn't stop at transferring and sharing data between hospitals and facilities. Healthcare professionals need the data to be translated into meaningful information. Over half of surveyed...
Introduction Increasing provider engagement is crucial to improving overall health outcomes for patients. Currently, provider engagement is lacking. For instance, different departments often do not communicate with each other, which can lead to worse outcomes for patients. Furthermore, physicians may be overwhelmed with other tasks and forget to follow up with...
Abstract Innovations in patient engagement have been significantly falling behind. Patients lack information on services they may need or the cost for them. Furthermore, the pandemic continues to have lasting effects on society even after years since it first appeared. Patients have been putting off seeing their primary care physician. This...
Artificial Intelligence (AI) is a trending topic within the health IT community. It is gaining more recognition with concepts like Machine Learning (ML) and Deep Learning (DL) entering the picture. We are on the brink of one of the biggest technological leaps in history. AI is spreading its roots into...
