IF YOU WANT TO THINK ABOUT THE FUTURE OF MEDICINE AND WHAT THAT ENTAIL?
The terms big data and is predictive analytics you must have heard of the term is must be talked about discussed by so many people not dis-color but so many people around the world in so many countries and for sure that all of you everywhere you look you would have seen this already in health care big data is probably one of “the hottest topic”.
A lot of government agencies and companies related to health care has been trying to invest more money into collecting more health-related data with the goal of improving healthcare as a whole, before, get into that let's have a brief on what big data analytics is using simple example e-commerce, take study case of how you know “Amazon.com”, won the retail war years ago with big data technology this story started in 1994 when “Jeffrey Bezels” you must have heard of him right, he has quit his Wall Street job and started “Amazon.com” founded it. That takes commerce to the next level. He does is he use big data to help with targeting customer.
"Today, when you shop online, data has been collected then you can ever imagine like everything you click when you're browsing through the website will be recorded if you longer on a page and looking at the product's longer than usual the system will take note of that everything you put on a search box things review that you've read or written or things you put in your wish list and shopping carts all of these data has been collected by the systems and will be used later on with analytics model to target you to recommend a new product to you".
So, this is what how the website knows you at a very personal level they don't just look at your demographic data and you're purchasing records they also know you your needs your desire your preference and your opinions basically you learn they learn of your shopping behavior altogether.
So, how does Amazon know you, well how does Amazon do it basically they use that compares you with millions of other people and make recommendations based on your track records against you know other people around the world who are similar to you or in this the terms that they said having the same person as you so this is the world of big data when you talk about big data is no longer just about the table in databases it's more than that thing that I'd maybe text that you post images or video to a post on social media these are data things that you put on Google search box or blocks that you've read.
If you wear a fitness sensor to fitness data that define who are you? This kind of data - the big data that can be used to target customers and what they do is basically, they use all this data studied you compare you with other people and the website like Amazon can heavily customize the browsing experience to individuals like. Everyone has a different dashboard has been recommended the different products this is the New World of data.
One more example a little bit more related to healthcare is an inhaler device why did they call it a smart inhaler because this device has a G. P. S. tracker modules on it so basically every location long longitude & latitude can be recorded and put on the cloud if your kids have asthma and use this device imagine this the doctor can know every single time the inhaler is used like when it issues where it is used why such useful with all that information the doctor can understand what trick or ask more for each individual patient, not general individual patients and also contracts and some overtime doctor can use all of this to customize a treatment delivery plan for each and individual because of individual patients right so that is more than any hospital visit or lab tests can do.
This is towards the right living data that can provide the right care. So a lot of health data provider has been looking into using these kinds of data to understand. Their patients better suited to example there talked about a very similar “the customer three-sixty an Amazon” and a “patient three-sixty” it's the same concept the only difference is the data use is slightly different inpatient three-sixty we probably looking into electronic health record lab tests all behavioral day tells like what do you eat how do you exercise things like that data that we use.
Another example: About the largest car company in the world uber doesn't own a single car think of the largest hotel chain in the world today Airbnb doesn't own a single hotel the biggest medical systems in the future again no hospitals it's gonna be devices that are monitoring the lives of millions of patients simultaneously that's looking to see if you have the beginning signs of cancer emerging to not treat cancer but to prevent cancer, definitely.
It is impacting on the practice of medicine is fundamentally going to transform the physician's ability to personalized care directly for you in the way we're going to get that if you have a handheld device that has an amazing capability Bluetooth enabled the inhalers for asthma patients scales blood pressure monitors, ECG devices.
The sequencing of the human genome that first you know because it's three billion dollars to sequence today you can do it for a thousand dollars, we're gonna individualize models for each person.
That maps out there, Trajectory will be something that you're engaged in daily but not necessarily actively you're just being triggered if you need to be because the algorithm says, Okay, you're a super high risk in the next year progressing into type two diabetes if you can catch that before the catastrophic state than the person not having to come to the hospital.
Behavioral study program on patients of past hypertension and diabetes, and the existing data sourcing from hospitals like patient records or lab test but we want to be able to use it alongside the behavioral data so it can get a little bit more personal to collect behavioral data the tech team has talked to the doctor and design and implement very simple mobile applications, it is more like a smart interactive questionnaire so that it can be a guide that the volunteer can take data on their mobile phone when they visit the patients they can ask and interview patient according to this guideline, volunteers liked it because it makes their work faster they can take a record of information faster and more efficient (because before they had kind of have to write it down on a piece of paper).
Now you can use the mobile app to track plus it doesn't have to record the details, for example, the patient - could just say something like "I had fried rice from the shop next door for lunch and then last evening I walked to the market“
Things like that a simple text able photographs like that can extract quantifiable information from it like what does “nutrition for fried rice” right and “how many steps is walking to the market” means and this kind of information can be put for the doctor to see later on. In questions, almost all the time every patient to say no “I don't use salt”, if that's true or not but one volunteer said she eventually stay for “dinner tasty food and make a judgment for herself” so each and every volunteer eventually have to develop tricks and tips and whatever techniques to make sure information collected is somewhat accurate we cannot go for a full accuracy anyway so that's what do.
Now, all of these data put into the dashboard for the doctors to see the doctor can then make suggestion recommendation personalized to each individual patients once the doctor has created the recommendation there will be a notification almost like a Facebook notification to a mobile device carried by a volunteer so the one she can read and relay this message us the next time they visited the house.
Personalized medical data must be more accessible the ultimately for personalized therapy, the stuff that's going on inside of you the physician can know that they can better serve the patient better serve the health system in it and it benefits everybody.
In another dimension, big data this is the new term that we all use every time you go to your doctor collecting a blood sample, they measure things classically they wrote on a piece of paper and is the notion of now putting that into data elements in data elements that we can search big data is not just the number of individuals that are in your sample but it's what you're actually collecting so from one drop of blood now on our live routine but it through superconducting magnet we get fifty gigabytes insurable.
That's gigabytes of data from the machine to place that nobody was putting into a computer what happens daily our business now we all are, we'd send it lies to us do we every day on every page.
A lot of the big data that we gather anymore is a consequence of some of the technology that's available to collect so you might imagine that some device maker allows you to collect medical data in a particular way we'll give you new insights into biological process sees what goes wrong in health and disease. We're gonna start to personalize how we understand how we categorize and how to treat disease. Two to three times a week, but that's in the eye and say “I have no more drugs to treat your disease” and “I don't want to do that anymore” if a doctor could tell a patient there is hope I've done a tremendous alternately, what we would want is to really “figure out a cure or figure out primary prevention” you stop the disease before there’s ever any evidence of it developing for a given person.
Historically collecting data was difficult and we had very few data. The more data points we are better than the answers are going to get and the more accurate this answer or the technology will be able to gather all that information millions of people almost going from a really big perspective. Because of having so much data and being able to drill it down to one person and so you can say okay, this type of medicine this type of exercise this type of food works for this kind of person.
Sample data could be collected through an MRI scan and that could be compared with a database electronically to hundreds of thousands of other examples and used as a diagnostic, the clinician to fully understand where and that this is sort of interesting.
It's an electronic health record change or genomics there is so much that it's impossible for a single human or even. Patients who want to become more involved in trying to understand how patients are going to become part of their health care is a huge issue, it's something that we are only beginning to touch upon. We can't modify one's age, We can't find one's genetics, but we know that there are other factors that can be changed.
Bring up a new generation of doctors who are effectively utilizing things like social media and health information technologies to work with their patients. The idea that there's a static body of knowledge we need to teach that there's this can changing things is going by the wayside with the pace of change in technology. But really what is going to be important is the ability to it down to the new things that are coming down the pipeline.
Training the next generation of investigators requires that they're given the best tools. Best experiences and understand that cross-disciplinary experiences are essential. To be successful. The revolution in data and the ability to collect data can allow us to look you and I had to call the complex emergent systems because that's what we are disease in the body is part of a complex emergent system it's not looking in one lab values the one element is looking at all of them together.
Data collection data storage, sharing the whole big data saying can buy medicines not going the way it's just it's here certainly the support of government organizations like the National Institutes of Health is absolutely critical the revolutionary ideas today in big data are going to be the things that “kids” grow up taking for granted completely unable to imagine the world prior to their existence.
It's just so exciting every discovery is accelerating as we move forward as the scientific community and hope that our congressmen and congresswomen are paying attention to this is where new science gets done this is what you're.
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