Wednesday, July 16, 2025
AI Literacy in practice: What HR and Leaders need to do | A European Union Perspective
AI Literacy in practice: What HR and Leaders need to do.
The AI ACT, passed by the European Union, established regulators concerning the use of AI in healthcare.
The EU is far ahead of the United States in terms of regulations for AI overall, not just in healthcare applications.
NEWSLETTER: Welcome to the FullStack HR AI Brief, the podcast that dives deep into the revolutionary intersection of artificial inte
Preparation for AI should already be well underway. There are many resources available on social media, webinars, and videos.
Confusion can occur since many LLMs are competing for your attention. Generative AI has become dominant in constructing information relative to your needs in HR or otherwise.
How Bright is the Future of GAI?
A webinar on the application of Generative Artificial Intelligence (GAI) in health professional education. Led by faculty members and enriched by perspectives from students, this session will showcase a graduate-level assessment example utilizing GAI. Explore how GAI technologies are revolutionizing assessment practices in healthcare education, and promoting personalized learning.
Progress of Digital Health Applications in Medicine
Digital applications in medicine have rapidly evolved, transforming healthcare delivery through advancements like electronic health records (EHRs) for streamlined patient data access, telehealth platforms enabling remote consultations, wearable devices for real-time health monitoring, and artificial intelligence (AI) algorithms for improved diagnostics and treatment planning. These technologies have significantly increased patient engagement, facilitated proactive care, and enhanced healthcare accessibility, particularly in underserved areas, while simultaneously optimizing clinical workflows and decision-making processes. As the field continues to develop, further integration of sophisticated digital tools is expected to revolutionize personalized medicine and further elevate healthcare outcomes.
Key points:
- EHRs:Centralized digital patient records for improved information sharing and care coordination. EHR came on the scene in the late 2000s as the result of a federal incentive program to offset the considerable expense of acquiring software and hardware by physicians, clinics, and hospitals. CMS defined requirements for certification for reimbursement to physicians. Many legacy systems were discarded and replaced by certified applications
- Telehealth:Virtual consultations with healthcare providers, bridging geographical gaps. The greatest impetus for telehealth was the COVID 19 Pandemic to minimize transmission by office attendance and to relieve the large increase in demand for services due to COVID illness.
- Wearables:Real-time monitoring of vital signs like heart rate and activity levels. Remote monitoring allows for the management of chronic illnesses, such as hypertension and cardiac arrhythmia. Chronic care management is encouraged by many insurance companies/
- AI:Advanced analysis of medical data for enhanced diagnosis and treatment recommendations. A.I. is being evaluated and used for some applications. Monitoring and transcribing in real time improves clinician efficiency. Symptoms and signs may be interpreted and translated into possible diagnoses, however, AI must be monitored for accuracy by a clinician. AI is also used for drug development and research. AI is also used for developing and writing reports and letters for consultation by specialists.
A.I for analysis of imaging
A.I for Robotics
A.I is used by insurance companies to deny prior authorizations for patient services. A.I. has unlimited potential for increasing efficiency throughout the entire health care system.
A.I. will require regulation for ethical concerns.
A.I. will improve as the training model expands.
Stay tuned for updates.
Wednesday, June 25, 2025
Interview with Aetna's Digital Health Evangelist Brian Ahier on Mobile First Podcast
The goal is to keep people out of the hospital so Brian shares that we should look at lesser beds and not building new hospital wings (except if it’s for a pediatric cancer or something we need). These hospital beds will no longer be necessary, sort of an exponential decline, as the exponential growth will be brought about by technology caring for people in the community. Computers are now accessible everywhere instead of just in one main frame and a mobile phone has more computing power than computers just 10 years ago.
Brian shares that we are in the inflection point of the exponential curve of information technology so you have to think mobile first. If you look at the price point of a computer, the processing speeds continue to increase and other data points towards validating this fact.
Anyone who tries to improve health care has to recognize the exponential growth factor. Look at the emerging trends and technologies so that, three or five years from now, you can accurately forecast where you are going to be in terms of technology capabilities.
Health care, at its core, is humans caring for other humans so it has to be local and community-oriented. It is local more than anything because if you have a relationship with somebody, it is much easier to build in behavioral modifications. You have to tap into the people who care about the individual – these are the people who love you, your church group, people you play bridge with, etc.
Everybody talks about gaps in health care and it’s true but we should realize that gaps in data are the ones that lead to gaps in care. That is why it is really vital that we get all the health information to the right person to the right place at the right time so we can provide the best care possible.
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