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Youngest22
Experimenting With Artificial Intelligence In Health Care
~13.4 mins read
We will design a series of strategies and tactics that will keep them healthy and make sure that when they seek health care, it is of high quality and very efficient. Population health is defining and managing whatever strategies and tactics are applied to this group. They are intended to achieve certain health care quality, cost, and person-experience goals.
In a way, population health is like being an educator. An educator would formulate an approach to teach a class of 10-year-olds a particular subject, an approach that achieves certain goals of subject comprehension.
Population health complements individual health care delivery, which occurs when you’re in front of your doctor or nurse. It also complements public health. Public health says, “I want to take steps to ensure the health of the community; for example, that the water’s safe and people are being immunized.†You can imagine the Venn diagrams that illustrate overlaps between population health, individual care, and public health.
The reason it matters — and population health has been around for decades — is that health care is in the early stages of a multidecade, fairly significant shift in the business model of care delivery. The shift is largely driven by the fact that medical care costs so much, and continues to cost so much, consuming an amazing amount of the GDP. It’s also pretty uneven in terms of quality.
How has the business model changed? It’s moving from reactive sick care — you’re sick, you show up, we take care of you — to the proactive management of health, where I’m going to reach out and keep you healthy. It’s moving from fragmented, disconnected care to integrated care across the continuum from a doctor’s office to a hospital to rehab to end-of-life, etc. It’s moving from a fee-for-service model, where I’m going to pay you for volume and activity, to a model in which the doctor and hospital are paid on results — the quality and efficiency of care. This business model shift is being driven by reimbursement change, largely from the federal government, but also state and private-sector purchasers of care.
Partners Healthcare System Inc., for example, is incentivized for doing a great job of managing the health of a population of people with diabetes or a population of children with asthma. They’ll receive a certain amount per person, per child, per year to cover all the costs of the care. If they spend less than the amount, they keep the difference. If they spend more than the amount, they experience a loss. Regardless of financial performance, they must achieve certain quality-of-care and health-status metrics.
A range of IT resources is needed to help manage the health of a population. There is a significant need for data about the health of the population to be managed.
If I want to hold you financially and clinically accountable for the care and health of 100,000 people with dementia, you’ll ask, “Well, who are they?†I have to know who they are and be able to characterize them. How far along are they in their dementia? Are they poor? Where do they live? Do they have a spouse or a caregiver who can help them out? Do they speak English? To characterize them, I need all kinds of data. I need electronic health record data, but I also need social determinants of health data. I must gather all this information and then make sure Mrs. Smith in one electronic health record is (or isn’t) the same Mrs. Smith in another electronic health record, because there’s no unifying number here that links people across the board.
Having done that, I ask, “What’s the plan to manage Mrs. Smith’s health and health care? How do I take care of these people?†I can turn to a blue-ribbon panel of doctors to get a core plan for a particular disease, but once I get that plan or that algorithm, I have to lay it over the data, tailor the plan to reflect Mrs. Smith’s needs and capabilities, and look for deviations from the plan. I might say, “I’m going to plan to manage Mrs. Smith’s dementia, but last night her spouse passed away, and suddenly my plan has to be revised, because I was counting on that person to help out and I can’t anymore.†Or “Mrs. Smith had a car accident, and she shouldn’t have been driving, but she was, and was critically hurt.†Suddenly my plan is different.
I must have a plan, and then I must monitor deviations that indicate the plan should be revised. And I should also determine how well the plan is working. What are my measures of quality and efficiency? Am I keeping Mrs. Smith out of assisted living, or should she be in assisted living?
You can’t make these decisions without IT to aggregate the data to characterize someone, to determine what the plan is and whether it needs to be altered, and then to generate a series of metrics that say, I’m doing OK or I’m not doing OK at managing the health of the population.
To help define and manage the plan, we must have care managers. They work for a health system (or an employer or a state Medicaid department), and they’re making sure the plan is working and take steps to remove barriers to the plan. For example, we will have people who are poor or who can’t drive, so we have to get them a ride. Or they live in what we call “a nutritional wasteland.†There’s nothing but liquor stores and convenience stores around them, so if we want them to lose weight, we must get them Meals on Wheels or something along those lines. We should have IT applications for care managers who are committed to making the plan work.
In a lot of cases, to stay healthy, patients must manage themselves. They must manage their weight, make changes to a sedentary lifestyle, and monitor a disease such as congestive heart failure. I need a variety of technologies in the home and through social media to help people stay engaged in managing their health.
Although the changes are driven by reimbursement, you can’t manage the health of a population without a viable set of sophisticated IT.
BIG IDEA: DIGITAL LEADERSHIPExperimenting With Artificial Intelligence in Health Care
One health care provider looks to bring artificial intelligence to patient care.
John Glaser (Cerner Corp.), interviewed by Gerald C. KaneApril 30, 2018READING TIME: 18 MIN
What to Read Next
John Glaser: Let’s start out with what population health is, and then move to why it matters. Basically, population health centers on a group of individuals who share a common health challenge or health situation. They might all be going through cancer, or they all have spouses with dementia, or they’re all 25 and really healthy and you just want to keep them healthy. But they have a common health challenge or characteristic.
We will design a series of strategies and tactics that will keep them healthy and make sure that when they seek health care, it is of high quality and very efficient. Population health is defining and managing whatever strategies and tactics are applied to this group. They are intended to achieve certain health care quality, cost, and person-experience goals.
In a way, population health is like being an educator. An educator would formulate an approach to teach a class of 10-year-olds a particular subject, an approach that achieves certain goals of subject comprehension.
Population health complements individual health care delivery, which occurs when you’re in front of your doctor or nurse. It also complements public health. Public health says, “I want to take steps to ensure the health of the community; for example, that the water’s safe and people are being immunized.†You can imagine the Venn diagrams that illustrate overlaps between population health, individual care, and public health.
The reason it matters — and population health has been around for decades — is that health care is in the early stages of a multidecade, fairly significant shift in the business model of care delivery. The shift is largely driven by the fact that medical care costs so much, and continues to cost so much, consuming an amazing amount of the GDP. It’s also pretty uneven in terms of quality.
How has the business model changed? It’s moving from reactive sick care — you’re sick, you show up, we take care of you — to the proactive management of health, where I’m going to reach out and keep you healthy. It’s moving from fragmented, disconnected care to integrated care across the continuum from a doctor’s office to a hospital to rehab to end-of-life, etc. It’s moving from a fee-for-service model, where I’m going to pay you for volume and activity, to a model in which the doctor and hospital are paid on results — the quality and efficiency of care. This business model shift is being driven by reimbursement change, largely from the federal government, but also state and private-sector purchasers of care.
Partners Healthcare System Inc., for example, is incentivized for doing a great job of managing the health of a population of people with diabetes or a population of children with asthma. They’ll receive a certain amount per person, per child, per year to cover all the costs of the care. If they spend less than the amount, they keep the difference. If they spend more than the amount, they experience a loss. Regardless of financial performance, they must achieve certain quality-of-care and health-status metrics.
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SUBSCRIBEA range of IT resources is needed to help manage the health of a population. There is a significant need for data about the health of the population to be managed.
If I want to hold you financially and clinically accountable for the care and health of 100,000 people with dementia, you’ll ask, “Well, who are they?†I have to know who they are and be able to characterize them. How far along are they in their dementia? Are they poor? Where do they live? Do they have a spouse or a caregiver who can help them out? Do they speak English? To characterize them, I need all kinds of data. I need electronic health record data, but I also need social determinants of health data. I must gather all this information and then make sure Mrs. Smith in one electronic health record is (or isn’t) the same Mrs. Smith in another electronic health record, because there’s no unifying number here that links people across the board.
Having done that, I ask, “What’s the plan to manage Mrs. Smith’s health and health care? How do I take care of these people?†I can turn to a blue-ribbon panel of doctors to get a core plan for a particular disease, but once I get that plan or that algorithm, I have to lay it over the data, tailor the plan to reflect Mrs. Smith’s needs and capabilities, and look for deviations from the plan. I might say, “I’m going to plan to manage Mrs. Smith’s dementia, but last night her spouse passed away, and suddenly my plan has to be revised, because I was counting on that person to help out and I can’t anymore.†Or “Mrs. Smith had a car accident, and she shouldn’t have been driving, but she was, and was critically hurt.†Suddenly my plan is different.
I must have a plan, and then I must monitor deviations that indicate the plan should be revised. And I should also determine how well the plan is working. What are my measures of quality and efficiency? Am I keeping Mrs. Smith out of assisted living, or should she be in assisted living?
You can’t make these decisions without IT to aggregate the data to characterize someone, to determine what the plan is and whether it needs to be altered, and then to generate a series of metrics that say, I’m doing OK or I’m not doing OK at managing the health of the population.
To help define and manage the plan, we must have care managers. They work for a health system (or an employer or a state Medicaid department), and they’re making sure the plan is working and take steps to remove barriers to the plan. For example, we will have people who are poor or who can’t drive, so we have to get them a ride. Or they live in what we call “a nutritional wasteland.†There’s nothing but liquor stores and convenience stores around them, so if we want them to lose weight, we must get them Meals on Wheels or something along those lines. We should have IT applications for care managers who are committed to making the plan work.
In a lot of cases, to stay healthy, patients must manage themselves. They must manage their weight, make changes to a sedentary lifestyle, and monitor a disease such as congestive heart failure. I need a variety of technologies in the home and through social media to help people stay engaged in managing their health.
Although the changes are driven by reimbursement, you can’t manage the health of a population without a viable set of sophisticated IT.
You talked about this as a multidecade business-model shift. What have been the challenges that the health care industry or hospitals have faced with respect to digitalization, and are those going to be the same challenges they’re going to face going forward?One of the challenges, if you go back six or seven years ago, would be that the electronic health record adoption was small, but now it’s not. Meaningful Use, a Medicare incentive program, has driven this. There has been a lot of progress in adoption.
The next thing we need is the fluid exchange of data between electronic health records — data interoperability. That’s made some modest progress, but we still have a ways to go before the data about a patient really flows appropriately and efficiently.
The third challenge is gathering and interpreting data about the social components of health. We’re still learning which sets of data really matter in which circumstances. For example, if we want you to get your 10,000 steps a day, what data should we gather to determine the likelihood that you will achieve that goal? For example, how do we motivate people? There are different ways to do it, but I need a set of data to define a motivational construct.
But perhaps the greatest challenge is that we must turn to a series of doctors and say, “You guys have to do a much better job of managing the health of people.†And they respond, “Listen, we actually aren’t always very good at doing that. We know how to take care of them when they’re sick, but we were never trained to manage health, and we’re not well equipped to do that.†To help caregivers manage health, we need care managers, links to social services and resources, new support processes, and a series of IT investments. The biggest challenge is making this transformation.
There’s a big cultural change, a big education change, and a series of process changes that must go on in health care that are difficult. The industry is beginning to go through that. As often happens with industry transformations, these changes are occurring while people and organizations are under great pressure to perform today under the old business model.
And then frankly it’s still not clear that if you do all this population health work, you really will “bend†the cost curve. Medicare has come up with dozens of different population health models and organizational arrangements. Which ones will be the winners? We’re still experimenting with different organizational and reimbursement models. We’ve got a lot of transformation work left to do, and that’s why I think it’ll take decades.
There are several. But regarding digital ones, we see a whole lot of desire — and we’re not alone — for data scientists. The phrase data scientist is fuzzy and has many meanings. In this case, health care needs people who will help providers when they say, “Tell me what the data means and whether I’m doing a good job or not. Help me think through which data from this long list of social determinants of health I should really be gathering and has significant explanatory power. How do I get this data? How do I deal with uneven data quality? What are the best practices in sharing this data with patients?â€
Moreover, who’s the doctor responsible for Mrs. Smith when she sees seven doctors? Often elderly people do see seven (or more) doctors. But which one do I hold accountable for her care?
Many skills are needed, but the biggest one is professionals who can help caregivers work their way through the data and analytics.
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Youngest22
10 Fictional TV Small Businesses And The Lessons They Offer
~5.6 mins read
Just because a business isn’t real doesn’t mean it can't inspire. Without the burden of actually having to make money with their fictional franchise concepts, Hollywood has brought to the public a number of memorable brands offering all kinds of insight. Let’s take a look at 10 specific small businesses that some of TV’s most entrepreneurial-minded writers have schemed up, including the lessons they can teach us about running a great company (or at least an entertaining one) offscreen.
Los Pollos Hermanos (Breaking Bad, Better Call Saul)
They may not have Popeye’s chicken sandwich, but Gus Fring (Giancarlo Esposito) and his team know chicken. With many locations and multiple revenue streams, LPH offers an addictive product that’s just to die for. Gus tell us on his website, “It’s the best ingredients. The spiciest spices. All prepared with loving care! And always delivered with a friendly smile. That’s the Los Hermanos Pollos promise.†While most restaurants speak in these terms, LPH does seem to thrive in its execution. Gus Fring understands that the little things matter: good food delivered quickly in a clean and friendly environment. Easier said than done, but Los Pollos Hermanos does it well. Plus, they do that other thing.
Business Lesson: Stick to the fundamentals, be consistent, and protect your secret recipes.
Central Perk (Friends)
Central Perk wasn’t just any coffee joint. This was where the cool kids hung out. With those big mugs and cushy couches, it was the living room for an entire neighborhood. The only thing better than a good beverage is a great atmosphere in which to enjoy it, and the baristas knew how to brew great hot drinks for customers without being intrusive. Despite being in love with Rachel, Gunther didn’t even speak until halfway through season two. Way to protect the customer experience!
Business Lesson: Build your business into a destination, and love your customers from a distance.
Arnold’s (Happy Days)
Long before Central Perk was pulling coffee shots, this teen-oriented 50’s diner was jerking sodas, flipping burgers and showcasing local talent. The diner was such a cool venue to play that the real-life band Weezer — with a little technological magic — performed there in their video for the song "Buddy Hollly". A central setting in Garry Marshall’s idealized 1950’s midwestern landscape, Arnold’s was the perfect Friday-night teen hangout. Happy Days already jumped the shark when Fonzie, well, jumped the shark, but when producers burnt down the restaurant and rebuilt it with a different décor, neither the diner nor the show were ever the same. The rebuild was financed by Fonzie. Seems generous until you consider all the years of maintaining an “office†for which he never paid rent.
Business Lesson: Remodel without over-rebranding, and beware of flammable uniforms.
The Missouri Belle Casino(Ozark)
Summer days are great on the lake, but what to do at night? Thankfully, Marty (Jason Bateman) and Wendy Byrde (Laura Linney) have provided tourists and locals with some floating fun. The Missouri Belle Casino offers an array of slot machines and tables where guests can court Lady Luck. On any given day, there seem to be a lot of people losing large sums of cash, but rather than quitting, these loyal customers always seem to return with a fresh stack of Benjamins. The staff consistently looks crisp and clean, as The Missouri Belle takes their laundering very seriously. Credit the Byrdes for restoring the classic steamboat with the help of Kansas City’s most organized crew and an investor to whom they feel, er, eternally indebted.
Business Lesson: All business is a gamble. Work hard to put the odds your favor — and some extra cash behind the drywall.
The Michael Scott Paper Company (The Office)
Managing the regional office of a large paper company is one thing. But going out on your own to take them down? That’s the entrepreneurial spirit. Dunder Mifflin underestimated Scranton’s regional manager when they drove him away. Never did they guess Michael Scott would poach so many customers with cheaper pricing and a pancake luncheon. What his two-person team lacked in size, intelligence and overall business acumen, they made up with heart and free time. It was inevitable that Dunder Mifflin would buy them out and restore the Scranton office’s dysfunctional family.
Business Lesson: Hang onto your best managers, even if they tell the worst jokes.
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