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

Saturday, February 3, 2018

Dawning of the Age of Aquarius (Artificial Intelligence)

The Age of Aquarius

Anyone who watches television or Netflix sees how artificial intelligence and even quantum mechanics has become a protagonist in fiction stories.  Some of it is close to non-fiction and is based upon real world achievements in this fast moving field.

AI as it is called is already in our lives daily with chat boxes for customer service, home appliances with natural language processing (NLP) and call centers. Many of us spend signifcant waiting times with a 'smart' attendant when we call anyone.  Direct human to human interactions are in decline.

AI is used for diagnosing, image analysis, treatment algorithms, and more.

Algorithms in health care are in common use.


Computer reads brain activity to ID the song a patient is listening to
AI interprets radiology reports with 91% accuracy
AI predicts early onset of sepsis
Smartphone app uses cough sounds to diagnoses respiratory disease
Algorithm predicts speech outcomes after cochlear implant
AI facial analysis system improves diagnosis of rare diseases
AI system IDs, sorts bacteria in blood infections by type
Deep learning AI IDs diabetic retinopathy, eye diseases using retinal images
Researchers develop machine learning app that predicts overeating tendencies
Machine learning model could accelerate drug discovery

There are many factors driving this transition which will amount to a paradigm shift and sea-change we are seeing throughout our entire culture. Health care is not unique and perhaps will benefit most if carefully designed and human beings remain at the top of the command system.d Stay tuned.

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