The digital health space refers to the integration of technology and health care services to improve the overall quality of health care delivery. It encompasses a wide range of innovative and emerging technologies such as wearables, telehealth, artificial intelligence, mobile health, and electronic health records (EHRs). The digital health space offers numerous benefits such as improved patient outcomes, increased access to health care, reduced costs, and improved communication and collaboration between patients and health care providers. For example, patients can now monitor their vital signs such as blood pressure and glucose levels from home using wearable devices and share the data with their doctors in real-time. Telehealth technology allows patients to consult with their health care providers remotely without having to travel to the hospital, making health care more accessible, particularly in remote or rural areas. Artificial intelligence can be used to analyze vast amounts of patient data to identify patterns, predict outcomes, and provide personalized treatment recommendations. Overall, the digital health space is rapidly evolving, and the integration of technology in health

Sunday, February 14, 2021

LEARN MORE ABOUT MACHINE LEARNING

Most medical practices are attempting to offload many tasks using machine learning (A.I. ) These are software tools that 'learn' using algorithms.

The software ' learns ' from each encounter, building its knowledge base, much like human practitioners.  Prior to being used it must be 'trained' (not unlike practitioners) A good source for the clinician is. Caption Health

Let's start with a brief video about using A.I. for COVID 19


Artificial intelligence is being applied to evaluating cardiac ultrasound,, pulmonary scans, and coordinating care for ICU patients.  This assisted in caring for over 50 patients in the Weil. Cornell ICU. This allowed novice caregivers with little or no experience to care for ER and ICU patients with COVID 19. It also emphasized the utility of fewer views to make a diagnosis using AI trained for ultrasound evaluation.

Other clinical settings for the use of U/S assisted SAI to include preoperative evaluations by anesthesiologists, who are otherwise novice or even incompetent in reading cardiac ultrasound.


POCUS in the Community Hospital


Leveraging the Capabilities of AI in a Neurocritical Care Unit


POCUS in the era of Value-Based Care in an Outpatient setting using Caption by a novice ultrasound fellow.


In summary, the use of POCUS allows for better value-based care delivering more care for the same or fewer dollars, efficiency and providing a uniform standard of care in the emergency department, critical care unit, preoperative anesthesia evaluation, remote clinical settings, and when fully trained ultrasound technicians or radiologists are not available.

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