Analytics in Healthcare
My father went into the ER a few weeks ago. I later learned its better to go to a teaching hospital for unusual symptoms, and a local hospital for run of the mill stuff where an ER doctor might do those procedures several times a day. But how, when Dad appears to have sudden onset dementia, or a stroke, are you supposed to know that going in the door, and why aren't hospitals referring you to ensure the best care when they come across something outside their ability to immediately diagnose and treat?
After a service and diagnosis failure at the first hospital, and an inability to do further testing within 36hrs, my parents headed home. It took nearly 24hrs for us to convince them to go to an academic hospital (and to learn that that'd be a good next step ourselves), and for the next round of testing to begin. There was no major stroke, or dementia, but after another 24-36hrs there was a perfectly reasonable cascade effect that resulted in blood poisoning, as a result of one of his chronic conditions. Could this have been predicted or spotted sooner? And what tools would need to be in place to do this? What are the top illnesses that would be worthy of investing in those tools?
I believe we are looking at a future, between AI and BI tools, that will change the course of medical practice, and potentially relieve some of the tremendous brain power that goes into any one doctor's need to remember massive amounts of data, and potential bodily and disease inter-relationships, in the assistance of diagnosing and treating illness. And what would that look like? Is there a legal, ethical way to gather and leverage massive amounts of patient data to put numbers against probabilities based on a customer's condition, that the cause might be x, y, or z? Could a visit to a general practitioner be a year end audit where the parent is told their statistical probability for suffering a variety of possible medical ailments based off of age, illness, lifestyle, and location? Would these tools come through as a required resources pushed into the system by cost-cutting insurance agencies or strapped consumers that want to know what the probabilities for a certain procedure/test before they pay for it, or by the government that will sometime too soon not be able to foot the bill for discount healthcare for millions?
Clearly I don't know, but while the ER doctor was asking/accusing my mentally incapacitated dad of hitting the bottle, to my mother's horror, I was convinced it has something to do with his kidneys which usually took the brunt of blows from his chronic condition. Cutting hours off of his diagnoses, if not days, would have seemed a perfectly worthwhile exchange to me at the time.
After a service and diagnosis failure at the first hospital, and an inability to do further testing within 36hrs, my parents headed home. It took nearly 24hrs for us to convince them to go to an academic hospital (and to learn that that'd be a good next step ourselves), and for the next round of testing to begin. There was no major stroke, or dementia, but after another 24-36hrs there was a perfectly reasonable cascade effect that resulted in blood poisoning, as a result of one of his chronic conditions. Could this have been predicted or spotted sooner? And what tools would need to be in place to do this? What are the top illnesses that would be worthy of investing in those tools?
I believe we are looking at a future, between AI and BI tools, that will change the course of medical practice, and potentially relieve some of the tremendous brain power that goes into any one doctor's need to remember massive amounts of data, and potential bodily and disease inter-relationships, in the assistance of diagnosing and treating illness. And what would that look like? Is there a legal, ethical way to gather and leverage massive amounts of patient data to put numbers against probabilities based on a customer's condition, that the cause might be x, y, or z? Could a visit to a general practitioner be a year end audit where the parent is told their statistical probability for suffering a variety of possible medical ailments based off of age, illness, lifestyle, and location? Would these tools come through as a required resources pushed into the system by cost-cutting insurance agencies or strapped consumers that want to know what the probabilities for a certain procedure/test before they pay for it, or by the government that will sometime too soon not be able to foot the bill for discount healthcare for millions?
Clearly I don't know, but while the ER doctor was asking/accusing my mentally incapacitated dad of hitting the bottle, to my mother's horror, I was convinced it has something to do with his kidneys which usually took the brunt of blows from his chronic condition. Cutting hours off of his diagnoses, if not days, would have seemed a perfectly worthwhile exchange to me at the time.
Sorry to hear that. I hope your father feel ok right know. Well, I do not know what is wrong with the healthcare system.They have a massive amount of data that will help them to take the right decision at the right time in order to save people live. I do not know why does the American healthcare system is so complicated. I hope in the nearest future this system will be updated to provide a better service for all patients regardless the background, ethnicity or income levels.
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ReplyDeleteMany countries suffer from the healthcare system. I hope this will change in the future.
Thank you for sharing.