Category: Healthcare

  • Healthcare Innovation: EMR Procurement is Broken

    Computers and software get faster and less expensive at a dramatic rate. Healthcare systems implementing computers and software gets slower and more expensive at a dramatic rate. Why is buying the thing getting so much worse at the same time as the thing being bought is getting so much better?

    There is only one explanation: the procurement process used by the large organizations is broken. Badly. It doesn’t need “improvement” or “innovation.” Today's standard procurement system needs to be thrown out. We need to start over.

    Improving Computers: Incredibly complex, successful

    It's just unbelievable how much better, faster, smaller and cheaper computers get. The rate of improvement is unprecedented in human experience. Nothing comes close.

    Chart _0002

    Even software that used to be unavailable or expensive to buy is free! Think "open source," for example.

    Procurement of computers: Basically simple, a worsening mess

    Most large organizations are just awful at building, acquiring and implementing computer hardware and software. It's not getting better.

    Chart _0001

    How do these organizations respond to their screw-ups? They look closely at what went wrong, "improve" the process … and make it even worse.

    Back to paper

    Organizations really try to make it work. The US Coast Guard, for example, embarked on a project to plan the implementation of a leading EMR in 2010, and committed $14 million just to do some planning. Six years later they cancelled it:

    11 coast

    They knew something was really wrong, not just the usual wrong stuff. You know things are tough when they go back to paper:

    111 paper

    On the other hand, they can provide all the health services their members need with paper alone! Tells you something about today's EMR's, doesn't it?

    New York City's HHC EMR procurement

    NYC's public hospital system is big. They're also a pioneer in using EMR's. They've won awards because of it, and gotten $200 million from the feds for achieving full "meaningful use" status with it. They go way beyond just electronic recording; they manage diseases, do screening, and lots of advanced things. See this from a January 2013 HHC press release:

    1 EMR pioneer

    By their own report and by the judgment of important institutions, HHC has this EMR thing nailed!

    HHC has bigger problems than EMR. It is in big financial trouble, and it's getting worse. See this report from late 2013:

    2 big loss

    They've got an industry-leading, award-winning, value-enhancing, WORKING EMR, and huge financial troubles. Sounds like an ideal time to buy a new, system-wide EMR, right??!!

    Well, that's what they did. In same early 2013 press release in which they bragged about their wonderful existing EMR, quoted above, they announced they were buying a new one:

    1 new EMR contract

    A close reading of the press release leaves one wondering why they had to have a new one: the touted wonders of the new system line up pretty well with the wonders of their award-winning existing system. I guess they really hankered after that new-EMR smell. And with the big award from the feds, $200M of the $302M is already paid for, leaving just pocket change to pay for it!

    But then, less than a month after this press release, HHC issued an RFP for extensive additional services. Here is a list of the consultant skills they wanted to hire:

    1 required hiring

    Strange. I got the distinct impression from reading the press release about getting Epic that the $302 million covered everything. What's this about?

    The July 2015 board meeting of HHC had an update on how things were going. Things weren't working out too well on the cost side; those numbers are millions, by the way:

    1 764 million total

    Wow. Just a bit more that $302 million. Digging a little further in the Board minutes, we find a little about the $113 Million. Here's the summary:

    20 vendors

    Or maybe not — this $119 million is for consultants, not FTE's, and it's per year — the surprise on-going cost of getting that shiny-new-EMR-system smell into the hospital! And you have to notice that 20 vendors will be awarded contracts — because everyone knows that having lots of temporary people from lots of vendors working on a single project is the proven way to maximize coordination and minimize surprises. Sure.

    Oh well, at least things are "under control." Or maybe not. Just a month later, in August 2015 we learned:

    2 firing

    And the dates? Let's talk about something else, because "full operation by 2017 for all users" is history, along with the $302 million cost and lots of other things for this troubled system.

    Conclusion

    HHC is a nice, big, fat example — but it's not unusual. This is what EMR procurement is like, over and over again. The buyers just keep shuffling ahead to the painful and prolonged slaughter, like cattle. Few organizations are as smart as the US Coast Guard, and decide that paper is just fine. Big-organization procurement in general is broken, and EMR procurement in particular is badly broken. Every attempt to "fix" it seems to make it worse. The procurement process needs to be thrown out. We need to start over.

    But start over with what? I will summarize how in forthcoming posts. But it's not mysterious. It's just an application of the proven methods described in my books and summarized in various posts on this blog.

  • Healthcare Innovation: Can Big Data and Cognitive Computing Deliver It?

    Most people seem to agree that healthcare is ripe for innovation, and badly needs it. Lots of people are talking up two potential sources for that innovation: Big Data and Cognitive Computing.

    I'm strongly in favor of data, the bigger the better. But is the Big Data movement going to make a difference? I'm strongly in favor of cognition, computing, and computing that is smarter rather than dumber. But is the Cognitive Computing movement likely to make a difference? Here's a summary of some thoughts.

    Process Automation and continuous improvement

    Here is a description of the core process automation process implemented by a company I've invested in, Candescent Health. It describes the process that can and should be applied to all of health care.

    The point isn’t that there’s data and analytics – the point is that there’s a closed-loop process of continuous improvement where actions are based on rules. This is the framework that is required to make anything happen. Without it, you can’t put your proposed new clinical action into practice with double-blind A-B test and see if the results of your analytics actually deliver benefits in the real world! Or even just deploy it!

    How about just making the basics work?

    Here is the story illustrated by Mt Sinai hospital about how everyone focuses on “innovation” and fancy new things, when just having the computer systems run reliability has a huge impact on patients – and unless those systems run, the results of fancy new analytics can’t be delivered to benefit patients.

    If the car won't start or run reliably, who cares how good the fancy sound and navigation systems are?

    How about making the computers work?

    I love data and analytics. But doesn’t it make sense to focus on getting the operational computer systems to actually run well before moving on to the fancy stuff?

    Paying top dollar for computers doesn't make them work

    In fact, just about anything you do with healthcare data that is going to be brought to the front line of care requires functioning computer systems to be able to pull off – the big healthcare systems pay Greenwich CT prices and get trailer park results.

    Clean data isn't easy to get

    Both data warehousing and the fancy new Big Data movement share the under-appreciated problem of getting good quality data in analytics-ready form. Sounds simple, but the difficulties make progress a grinding crawl on many efforts. See this for example.

    Big data sets tend to have Big problems

    Massive data sets have built-in problems that make it hard to get actionable results.

    AI: How about under-promise and over-deliver for a change?

    Skepticism about Cognitive Computing in health care is warranted. There is a rich history of over-promise and under-deliver for AI efforts in general.

    Real-world solutions waiting to be automated

    Meanwhile, there are proven gems in the medical literature just waiting to be disseminated to the front lines of health care via point-of-care computer systems that are languishing in journals.

    What can make a difference?

    There are lots of practical, tangible ways to make things better, in spite of all the obstacles to change pervading our healthcare system. Here are some examples of people doing the right thing, all them with investments by Oak HC/FT:

    • Candescent delivers better imaging results with less expense by applying basic continuous-improvement workflow automation.
    • VillageMD delivers better results with lower cost by feeding back results and advice to PCP’s.
    • Aspire delivers better results at lower cost for end of life – by having one person be in charge, managing everything from the patient point of view.
    • Quartet makes a difference by applying behavior health as needed to help other conditions.

    These companies embody some common themes:

    • Knock down the silos, have a patient-experience-centric point of view.
    • Applying common sense has huge benefits.
    • Focus on delivering results to the front line (patient) is hard but necessary.
    • A system of continuous learning and delivery is a pre-condition to delivering any results of analytics for patient benefit.

    Conclusion

    The big hot topics in healthcare of Big Data and Cognitive Computing are little more than fashion statements. Data, of course, is a good thing; so is having computers do smart things. But without doing some basic blocking-and-tackling and applying some practical common sense, a great deal of time, money and energy will be spent accomplishing nothing.

  • I Want an EMR App

    I want an EMR app. I want it badly. I want it now. It shouldn’t be that big a deal. Where are all my choices? What’s wrong?

    My EMR

    Who cares more about my health than I do? Who has more right to hold my medical records than I do? I should have a simple app that contains all my medical and health records, whether generated by me, a doctor’s office or a hospital. I should be able to have that data encrypted and backed up to the cloud, from which I should be able to access it myself or grant access to it by others. It should be easy for me to get the records concerning me from any medical facility I visit – including fancy stuff like MRI’s. It should also be easy to upload my medical records from the past and from other institutions – including the all-important medical history, which is normally handled in such a slap-dash way, too often peppered with errors and omissions.

    Access to medical records and banks

    Think about banks. They only have my money because I choose to deposit it with them. They provide regular statements, and on-line access to what I’ve got and my transactions. I can withdraw any portion of it whenever I choose. It’s my money, after all – and they’re charging fees.

    Now think about a doctor’s office. They only have records about my visit because I choose to go there. I’m paying them for their services, including making tests and keeping records. It’s my data – taken from me with my permission, and paid for by me. How dare they not make every effort to make access to my data be as convenient as possible for me? If a bank made it as hard to withdraw money as hospitals make it to withdraw my own medical records, how long do you think the bank would stay in business? Is sending a bunch of data to my phone really harder than going into a vault and counting out the cash I request? Of course not – they just can’t be bothered!

    The medical establishment has it backwards

    Today, of course, all my records are scattered about, some in each medical place I’ve visited. They’re stored in different systems that are incompatible. Even software from the same vendor that are installed in different institutions don’t talk with each other! And they certainly don’t talk with me – and if I insist, the best I can get from most of them is a bunch of paper. Uhhh … people … computers have been around for a while now, and there are things called WiFi and the internet that are supposed to make things easier. The people who use them seem to like them. Why don’t you check them out??

    Here’s the worst part – the whole medical establishment thinks in terms of them sharing my medical records among themselves. Instead of giving them to me. The patient. Whose records they are. They can think of nothing but, with prodigious effort and great expense, somehow getting all their systems to talk with each other. They can barely keep their own systems working, much less get them to intercommunicate.

    Which they can’t do yet. I got an MRI at an office on west 57th st in Manhattan. I had an appointment with a doctor at a major medical center a few blocks away. I did what I was instructed to do – I walked to the MRI place, waited while they made a DVD of my scan, and then walked to the hospital, gave it to a nurse, and waited while it was loaded in. Years ago, we sneeringly called this “sneaker-net.” Unfortunately, sneaker-net is alive and well in the wonderful world of self-absorbed, stone age medical computing.

    EMR vs. My EMR app

    The government has already spent nearly $20 billion dollars so far trying to get hospitals to use EMR’s. 19 billion

    A multi-year contract to “upgrade” a military EMR system is worth over $10 billion dollars. 11 billion

    The contract ended up being awarded to Cerner for over $4 billion, at least that's what they're saying now.

    These figures are absurd. And after all that money, the systems crash, they’re incompatible with each other, and they’re filled with incorrect and incomplete information.

    That’s one big reason why I want my own EMR app, with all my data in it. I can study it and do research at my leisure. I can take it with me. I can complete and correct my history. I can get new providers and their systems up to speed with me and my issues quickly and without the usual labor-intensive paper stuff, replete with errors and omissions. And best of all, it will cost considerably less than a billion dollars.

    Conclusion

    I’m ready. How about an open source project for it – if it makes sense to build and support linux this way, why not My EMR App? Anyone? But I’ll take it any way I can get it.

  • Healthcare: Problems and Opportunities

    The US medical system is the best in the world, by the simple measure of patients voting with their feet. How many US patients flee the US so they can enjoy the superior medical care in other countries? How many foreign patients come to the US in order to benefit from the superior medical care available here? This simple measure allows you to cut through the rhetoric and find the truth: instead of listening to what people say, watch what they do.

    The US medical system would also benefit from radical change. It is not nearly as good as it could be. It’s not lacking new ideas, or more of the currently fashionable “innovation;” it needs to apply methods, systems and technology that are proven in wide-spread application in non-medical applications, suitably adapted for medical use.

    I’ve already hit on a couple of juicy subjects in this blog. But they only scratch the surface. Here are some of the things I’m thinking about and will be blogging about.

    Financial technology and healthcare technology

    Both are heavily burdened by giant organizations, heavy regulation, ancient and expensive IT, and deep resistance to anything but surface change. But fintech is in a renaissance of game-changing innovation, while healthcare is a laggard by comparison. What’s this about? One simple example: in finance, when I applied for credit 30 years ago, I went to the bank and was subjected to an interview by a bank officer, who personally determined my credit-worthiness; today, complete automation yields better results with less time and cost. In healthcare, when I have disease symptoms, I go to a doctor who makes a diagnosis and recommends a treatment. It was the same 30 years ago, only now there's much more overhead typing stuff into computer systems, mostly for the benefit of various bureaucracies.

    Drug discovery

    In drug discovery, there is a huge gap between what we are capable of and what we let ourselves accomplish. As usual, regulations and bureaucracy impose expensive and outmoded barriers, resulting in widespread preventable deaths.

    Innovation and best practices

    There is a natural tension between assuring that patients are treated according to best practices, while allowing for innovation and expert adaptation. Our methods for resolving this tension are sadly deficient compared to non-medical fields.

    Bad science

    You would think that as a science-created and science-dominated field, there would be only the best science in medicine. Sadly, this is not the case. There is shockingly bad science at both the detail level and the global level.

    Training and credentials

    Healthcare is filled with extensive training requirements, certifications and tests. These are accepted as part of life in the field. Some of the credential requirements are well-intentioned — but others are little but thin veneers of good intentions on top of a pile of self-dealing, and often make things worse for patients.This is best seen by comparison to other countries and other fields.

    IT

    The level of IT implemented at an average e-commerce website is, in general, vastly superior to the IT implemented at the very best medical institutions. On multiple dimensions, including cost, effectiveness, quality, and level of automation. If done well, excellent IT could be the foundation of a revolutionary wave of excellence in healthcare delivery and continuous innovation.

    Conclusion and disclosure

    I’ll be addressing these issues and more in future posts on this blog. But I’d like to emphasize: I’m taking the trouble to write this stuff down and make it available because it’s what I really think. I’m proud to be part of a partnership which invests in and supports leading-edge groups that are trying to change healthcare for the better, and I may refer to such companies in the future as I already have. But these posts and thoughts are promotional only in the sense that they promote concepts and practices that would raise the game in healthcare for everyone concerned.

  • Human-Implemented Cognitive Computing in Healthcare

    I'm pretty skeptical about "cognitive computing." It's hard even for people to "cognitively compute." In fields like medicine, only the brightest, most educated and experienced people are capable of producing useful results. But when they do, the results can be powerful, useful and save lives.

    Cognitive Computing

    I've worked closely with computers since I was in my teens. I've seen their impact on society, and the huge productivity gains when properly applied. But ever since the early days, a subset of the computer industry and the public has insisted on seeing computers as versions of human brains. Periodically, the computer industry gets excited about how the latest computer hardware and software will enable computers to do things that only the smartest and most educated humans can do. When the excitement gets frothy, the movement is called something new, so no one will be "confused," and think it's the same as all the earlier, essentially identical movements that have failed and quietly faded away. The latest such movement is called "cognitive computing."

    Medicine

    Doctors who specialize in a field of study both contribute to advancing the state of the art and stay on top of advances made by others. Action-oriented review articles are particularly valuable — they both summarize advances made by many people, and advance clinical practice by making those advances practical and actionable.

    I'll take an example from emergency medicine, this journal in particular. JEM

    One of the articles that appeared in that journal earlier this year was about Horner's Syndrome in children. Horner

    There is lots of fascinating and useful information in the article. It's just amazing the things that go on in the human body. Knowing about all the things that sometimes go wrong makes it all the more impressive that most bodies work so well most of the time!

    Here's a chart in the article that boils it all down. You've got a child presenting with Ptosis. What's going on here? There are a couple options, and the chart guides you to figuring it out. 2015 03 12 ER graph 1

    One of the outcomes is Horner's Syndrome. What do you do next? Here's a chart that makes it all clear. 2015 03 12 ER graph 2

    This example of human-implemented "cognitive computing" is similar in principle to many valuable intellectual and scientific results. It's the result of years of effort and study by many people handling many cases, and publishing the results. The advance here is boiling it all down and translating it into simple, unambiguous flowcharts that guide you to do the right thing, without leaving out anything important.

    Can and should flowcharts like this be made available to front-line clinicians as they are seeing cases? Yes, of course, if only to enable the clinician to make sure something new hasn't emerged since last time he/she checked. Does it require fancy computing to make this happen? It does not.

    Conclusion

    Getting simple results like these is amazingly tough work for highly educated and motivated human beings. Meanwhile, computers are not yet capable of tying my shoes. When they are, I will gladly put them in the running for doing something more sophisticated and important, like picking who should have the lead role in the next James Bond movie. "Reading" the medical literature and figuring out how to respond when a child presents with ptosis? The crew that can't even keep a hospital's critical computer systems running is going to one-up humans? Maybe it's something you'll welcome for your child; for mine, I'll pass on the opportunity, thanks very much.

  • Cognitive Computing and Healthcare

    They say that cognitive computing, the term-du-jour for Artificial Intelligence (AI), is in the process of transforming healthcare. Billions of dollars of investment are behind the effort. Sadly, there are good reasons to believe that little good will come of it.

    Cognitive Computing

    Whatever it is, people are pretty sure it's BIG. Here's what a major investor and the former GM of IBM's Watson unit says about it:

    Cognitive

    $80 billion dollars! Before long, we'll be talking serious money here!

    Where's this money going? Lots of places. But there's one special target for the money. The same expert tells us:

    Capture

    Cognitive Computing in Healthcare

    Is Cognitive Computing really happening in healthcare? You betcha. IBM's Watson by itself is making major inroads into healthcare, with terrific-sounding projects at Sloan Kettering, Cleveland Clinic, MD Anderson and others. Good things are coming! For example, C. Martin Harris, MD, chief information officer of Cleveland Clinic, says:

    Cleveland Clinic's collaboration with IBM is exciting because it offers us the opportunity to teach Watson to 'think' in ways that have the potential to make it a powerful tool in medicine.

    And here is how the CEO of IBM explained it in an interview:

    Capture

    It's so hot that IBM has created a separate division for Watson, investing more than $1 billion just to get it started, and will have a headquarters group employing more than 2,000 people.

    So What's the Problem?

    Big investments like this should mean that there's a big problem to be solved. What is it? Not enough doctors? The doctors are too expensive, and somehow automating what they do with this mega-expensive effort will help that? The doctors aren't as smart or educated as Watson will (by presumption) be?

    Someone involved should let the rest of us know.

    Meanwhile, count me a skeptic. The reason is simple: there is a decades-long history of researchers and big companies making claims more modest than the ones being made for "cognitive computing," and they've all failed, technically and/or in business terms. In the end, computers do get used for more and more, as we all know from personal experience. That's a trend that will certainly continue. But "cognitive computing," i.e., AI reincarnated and re-named? Uh-uh.

  • Computer Troubles at the Hospital and at the Symphony

    We go to the symphony to hear great music. We go to the hospital when we’re injured or sick, and hope that the caregivers will heal us. When you’re sick, the only thing that matters is getting healthy. When you’re healthy, you have a huge array of activities to choose from, one of which might be going to hear great music.

    Both orchestras and hospitals use computers to do their jobs. In both cases, computers play an important supporting role, while people deliver the actual services customers/patients want.

    One of the great hospitals, Mount Sinai, and one of the great symphony orchestras, the New York Philharmonic, provide clear illustrations of how differently medical and cultural institutions think about the computers they use.

    Computer Trouble at the Symphony

    There was a computer outage at the New York Philharmonic. Along with many other subscribers and supporters, I received an e-mail on May 7th telling me about the problem. NY Phil down
    The Philharmonic is clearly embarrassed by the situation, and went out of its way to make sure their customers know about it, what the status is, and what they’re doing about it. By sending this e-mail, they clearly announced to many people who would otherwise have had no idea the computers were down that there was a problem. But to their credit, the Philharmonic’s priority was being open about the situation so that any inconvenience was minimized.

    Computer Trouble at the Hospital

    There was a computer outage at Mount Sinai hospital last fall. I personally experienced the problem and wrote about it here. In striking contrast to the Philharmonic, no public word was or has been issued about the situation, so far as I can tell – even though I’m a patient, and even though Mount Sinai is much more crucial to my health than the Philharmonic.

    Mount Sinai may be embarrassed. I have no way of knowing; they’re keeping a pretty tight lid on the situation. In fact, as far as I can tell, the medical profession combines suppressing all information about system outages with considering the whole subject to be a joke.

    Why do I think they think it's a joke?

    There is a list of the top 100 hospital CIO’s. There is a little blurb about each one of them. Among the 100 mini-bio’s I can find only one reference to whether their computer systems are working are working or not. Here it is. First of all, keeping computers running is beneath mention in 99 of the 100 cases. In the one out of 100, here's what they say. Hospital crash

    He "caused" a network-wide crash — but that's OK, he "played a role" in "recovering it" (sic) too, ha-ha-ha.

    Conclusion

    There’s an attitude problem and an issue of priorities among the people who run hospitals. Comparing them to their counterparts in the world of symphony orchestras illustrates the problem vividly. The people in charge should make sure that their computers are actually up, running and available, above all else. They should track their performance. They should be open and transparent about it. They shouldn’t suppress information. Above all else, they should get it done! Sadly they’re not getting it done, in spite of their monstrous salaries and budgets, and that’s not likely to change any time soon.

  • Healthcare IT Disfunction: the Secret Computer Outage at Mount Sinai Hospital

    When the computers go down in a hospital, patient lives are put at risk. Medical records aren't accessible, care orders can't be entered or received, and the staff runs around trying to make things work as best they can, in spite of the unavailability of the hospital's mission-critical system.

    Could anything be worse?

    Yes.

    The outages aren't tracked. They are hidden — literally kept secret. After all, reputations are at stake here! If it ever got out that people whose salaries run into the hundreds of thousands of dollars a year for running an operation that spends hundreds of millions of dollars a year can't even keep the computers running, who knows what might happen?

    The IT Horror Show at Mount Sinai Hospital

    I’ve already told the story of one of my personal experiences with horrible hospital software. Here’s another.

    When I arrived at the cancer treatment center at Mount Sinai in New York last Fall, I immediately noticed that things were different than they had been on my prior visits. Patients were anxious, and staff were madly rushing about. Here's the waiting area on a calmer day. Treatment center

    The problem was immediately evident when I checked in: the screen was blank, and everything was being done on paper. This was Wednesday, and the computers had been down since early Monday. Some departments were back up, but since some important ones were still down, lots of things were still being done with phone calls and handwritten notes. Among other comments, I heard “This isn’t the first time this has happened.”

    This multi-day outage didn’t take place in Podunk. It was at a premier medical center. Is it better at Mount Sinai than other places? Worse? I have no way of knowing.

    This was outrageous. The health and life of patients, the hospital’s primary mission, was compromised, to put it mildly. Everyone was anxious and upset, but no one was shocked. Was anyone fired? Did the CIO lose his job? The CIO deserved to be frog-marched to the nearest exit, along with anyone else involved. But last I heard, the news of the outage was suppressed, as usual, and the CIO and his whole crew continue to be richly employed.

    It appears to be a question of priorities. Hospitals and their CIO's issue press releases when they install a new version of the ridiculously expensive enterprise software they use, and move up another rung on the ladder of how heavily dependent your hospital is on its EMR (electronic medical record). Being more dependent on computers is considered to be a good thing in this industry! But simple things like tracking the up time of the system? Apparently it's beneath the level of the top people to pay attention to it — it nonetheless appears to be important enough to train everyone to hide the outages.

    Computer Availability

    The more dependent you are on computers, the more important it is that they actually work! The top people in any computer-using organization can be cavalier about system up-time. This isn't just something that happens in healthcare, as I've pointed out. The two most important things about any computer system are that it works and that the performance is reasonable. This is true times a large number for a system that is mission critical for an organization devoted to curing sick people.

    Conclusion

    Heads should have rolled after the outage that I personally experienced and can personally testify actually happened at Mount Sinai Hospital in New York City. Not only didn't they roll, they continue to crow about how wonderful they and their system are, while making sure to suppress all news and information about their IT malfeasance. To put it mildly: not acceptable.

  • Meals at Downton Abbey and IT in Healthcare

    It’s inconceivable that a meal wouldn't be served at mealtime at Downton Abbey. If the food were bad for so much as a single meal, those responsible would be seeking other work. Computer services at a hospital? They fail to be served all too often – the  users complain and race around making do. And are those services bad? Regularly. If Carson were the butler at a hospital, the IT staff would all be fired on the first instance of a meal of data not being served when and how it was supposed to be.

    Meals at Downton Abbey

    The kitchen staff works hard at Downton Abbey. They hold themselves to a high standard. The food is high quality, and it’s delivered on time. Every time. Downton dining
    It is literally inconceivable that the guests would be assembled, ready for their food, and none appears.

    It’s not just the lordly Lord Grantham and the stern Mr. Carson who expect and get these results. Downton-abbey-series-3-31e53281a83d2a49
    The kitchen staff, from Mrs. Patmore and everyone else, shows intense pride and ownership of their work. Downton kitchen
    Mrs. Patmore isn’t cowed into producing excellent results, on time every time. Mrs. Patmore accepts nothing less from herself.

    Meals in Real Life

    It isn’t just fancy television series for which is the case. We expect food for ourselves. We may give ourselves a little slack when it’s just ourselves, but when there are guests, for example at Thanksgiving? The kitchen and its staff may not be like Downton’s, 2008 11 27 Thanksgiving at G-ma's 009
    but it works and produces results. The results are appreciated by everyone at the dining table. 1968 11 Thanksgiving-16

    IT Services in Hospitals

    In hospitals, it appears that system availability and up-time is like he-who-must-not-be-named in the Harry Potter books. It is simply not discussed among civilized people. The greater your status, the more demeaning it appears to be to have the subject even raised.

    Partly because of the refusal to discuss this subject, there’s no good way of knowing how bad the problem really is. But lots of people, particularly those who work in hospitals, know the story – and they know that outages, slow-downs and crappy software are business-as-usual.

    The Mount Sinai Hospital IT Horror Show

    I’ve already told the story of the general horrors of the Mount Sinai computer system. I've also told the story of my personal encounter with the multi-day computer outage at Mount Sinai in New York. I have since made a diligent search for any public information about the outage I experienced, and computer outages at hospitals in general. Nada.

    Lots of people in IT appear to think that cooking and serving the data, high quality and on time, is not their problem. That’s like Mrs. Patmore or Daisy shrugging their shoulders when the second day of meals not served comes and goes, and flatly declare something like “we’re doing our best, struggling with inadequate kitchen systems and suppliers who have failed us.” If that’s unthinkable for serving food to healthy people, why is it acceptable for delivering medical services to the sick and injured?

    Conclusion

    Where are the adults? Where is the outrage? Why don’t people do their jobs, and why does no one get fired when they don’t? I know Downton Abbey is just a TV show, but why is it completely unimaginable that Mrs. Patmore and her crew would fail to serve a single meal, while even with a budget of over $240 million, the CIO and his crew at Mount Sinai (and I suspect at other hospitals) fail to serve meal after meal of data and still have their jobs?

  • Innovation Made Simple

    There is lots of noise about “innovation” and its importance. Not only are there books, articles and conferences, large organizations increasingly employ Chief Innovation Officers to make sure innovation really does take place – otherwise, it might not, and what a horror that would be!

    Innovation seems to be a big, important, mysterious thing that isn’t one bit obvious. Lots of people have to get together to figure out this grand new thing. Here’s a typical example:

    Capture

    I must be missing something. I agree that making things better is real important, and I’m happy to call that “innovation.” But it appears to me that, in most cases, the innovation that most of the people served by an organization would value most highly is simple and obvious.

    For example, in football, people focus on all sorts of fancy things. But what wins most games most of the time? Getting real good at blocking and tackling.

    In most non-sports organizations, doing the equivalent of blocking and tackling makes things better. Since most organizations use computers a fair amount, the process is simple:

    1. People should do their jobs. Completely. Correctly. On time.
    2. Computers should help people do their jobs, and monitor whether they’ve done them correctly.
    3. Computers should do things that people used to do.

    No magic, no mystery, no focus groups required. It’s simple: Do it right! Then computer-enhance it! Finally, automate the human element! If this bothers you in any way, ask yourself whether you’d prefer to wait until the bank is open, walk into it, wait in line for a teller and get your money – or whether you’d just as soon walk or drive up to an ATM any time you please and get your money from a machine. Hmmmm.

    Big Fat Personal Example of the need for simple Innovation

    I had an appointment to see a doctor at one of the top hospitals in the US: Mount Sinai in NYC. Lest you think this was a no-big-deal appointment, let me just say I’m taking a drug that can have really bad (but hidden) side effects, and this was to check on how I’m doing. I wasn’t feeling casual about it.

    I had written confirmation of the appointment, an on-line reminder of the appointment, and a robo-call reminder of the appointment the day before. Efficient! So I took the couple hours required to get to the hospital in plenty of time. The place where I usually sign in had my appointment in their system, but told me to go to another desk. They also had my appointment, but told me that unfortunately, my doctor was on vacation. They were polite, but the doctor wasn’t there, so the appointment wasn’t going to happen.

    Assuring the innocent person giving me the bad news that I wasn’t mad, I asked what he would recommend as the best thing I could do to rattle someone’s cage about this unfortunate event. He got a supervisor to come out. The supervisor apologized and explained that a lady who’s out today was supposed to call me, but obviously didn’t. She’s sorry. Can she pay for my parking or something? Since I know Mount Sinai uses Epic, I asked whether she could get an alert put in to catch cases like this. She acted like she thought it was a good idea. But given how IT works at places like this, I’m not holding my breath. And there were actually two problems: the robo-call should have been cancelled, and a call to re-schedule me should have taken place. Not to mention e-mails, etc.

    Mount Sinai’s medicine and doctors are among the best anywhere. But the hospital’s blocking and tackling is abysmal. The day before I was scheduled for an MRI they called to say my appointment was cancelled because they had no pre-authorization. Personal appeals to hold the appointment, followed by frantic phone calls, uncovered than Mt. Sinai has a whole department that does pre-auth’s. My doctor had placed the order correctly, but the pre-auth didn’t happen. My doctor’s assistant said it happens all the time, and is tired of catching the blame for it. It took a couple hours of phone time to get me the go-ahead.

    Mt. Sinai thinks all sorts of things are important and worth spending money on. They have big TV’s blaring away in waiting rooms. They have iPad’s available to patients to amuse themselves while waiting. They have signs announcing how great they are marching down many NYC streets. They have classes on meditation and all sorts of activities directed at Arabic-reading people of the Islamic persuasion, judging from displays in the waiting rooms. All of these things are apparently more worthy of attention than blocking-and-tackling for boring, trivial things like appointments and pre-authorizations. And, sadly, I have lots more similar examples.

    Mount Sinai hospital and Innovation

    Mount Sinai has made its position on innovation clear: they’re for it. They have a whole department in charge of it. They have hosted at least one conference on innovation featuring all sorts of important people. They tout their innovative computer technology, including Epic. I neither dispute nor disparage any of this. But it’s kind of like a surgeon who does genuinely wonderful surgery, but disdains to wash his hands or double-check whether he’s operating on the right thing. They have indeed purchased and installed one of the most advanced, complex EMR systems – but they fail to get it to do the most basic things. And my personal experience is the tip of an iceberg. The waste and inefficiency within the hospital that I have observed that results from failing to pay attention to simple things like scheduling is simply monstrous.

    I can’t resist giving just one juicy example. Where I check in, there is a whole line of check-in people who have to enter lots of stuff into the computer while you sit there. I noticed a little speaker on the wall that would sometimes make discrete little sounds. There was no one waiting behind me, so I asked the operator about it. It turns out that the speaker was installed some time ago and everyone like her trained to listen, because it tells you when it’s safe to hit submit on a new entry. The computer is so overloaded most of the time that unless you wait for the “it’s OK” audible signal, all your work will be thrown away and you have to start over.

    As a life-long computer geek, my jaw didn’t just hit the floor; it blasted through it and was finally halted in its downward descent when it hit the bedrock under the island of Manhattan. I think I’m still working on putting it back. I’m so blown away I have no words – even sarcasm, my go-to mode, escapes me. Enough said.

    Innovation made simple

    I like cool new stuff. There should be more of it. It should even work.

    But if you’re willing to pay attention to what actually matters, even though it may be pedestrian and boring, you can make a huge impact at nearly any organization without the benefit of a single conference, book or hi-falutin consultant. You can “innovate” by doing the equivalent of blocking and tackling, i.e., taking care of basics. In other words: Make sure every job is done, and everyone does his job. Then assist and enhance them with computers. Then, to the extent you can, replace human labor with full automation, including calling for human attention only when it’s needed. These simple steps are frequently and painfully not done; if they were done, surprising amounts of money and time would be freed for doing the complicated “cool” stuff that most people call “innovation.”

  • Healthcare: Higher Quality, Lower Costs: Candescent Health

    There has been a lot of talk about how to pay for health care. At the same time, everyone wants the best quality care they can get. We all know that in practically every area of life, in order to get higher quality, you have to pay more. A better house? More money. A better car? More money. Better food? More money. How will we ever get out of the spiral of ever-increasing, ever-more-unaffordable health care costs? Everyone knows (empty promises from politicians notwithstanding) that we are marching down the road towards higher costs for lower quality health care.

    Several companies in which Oak Investment Partners has invested in are pulling off the impossible, that is, lowering costs and raising quality. None of them involve magic. All of them make common sense. But they're new! The overall common theme is simple: understand the process, give consumers real, informed choice, and above all: use technology to automate the process. Here's one of them.

    Candescent Health

    Candescent Health is taking a well-understood, necessary, highly-valued medical service (medical imaging), and applying methods that have been used with great success for years in call centers and back office automation. The methods are proven and widely deployed. They lower costs while improving quality, often dramatically. The only surprising thing is that it has taken so long to apply the methods in medical imaging; but that's a potential subject for another time!

    The core method is usually called workflow. It is widely applied in factories, document processing, and nearly any setting in which there are repetitive units of work. The key elements include:

    • Digital unit of work. The foundation of modern workflow is a digital unit of work. This means the unit of work is like an e-mail, only with structure and controls. It contains the image, everything about it and everything that's been done to it.
    • Central work distribution. There is a central location that "sees" (like an e-mail server) every piece of work coming in, every doctor who is working or ready for work, and the deadlines.
    • Intelligent routing. It's important that the central work distribution makes intelligent decisions about which piece of work to give to whom. In a call center, this means you talk to someone who is qualified to handle your issue. For medical imaging, it means that the right specialist (for example, someone who only does shoulders!) handles your case.
    • Specialized processors. A Swiss Army Knife is great, but for any given task, a real screwdriver, etc. is better. In the same way, someone who specializes in a kind of work produces superior results more quickly than a generalist. This is the key to better quality.
    • Process automation. Once the right person gets the right piece of work, making that person as efficient as possible makes the person happier and more efficient. Every keystroke and mouse click that can possibly be eliminated is eliminated.
    • Standardized output. Of course there are standard reports. But there should also be standard lexicons, and the same information should always be provided, regardless of who does the work. It's called "interchangeable parts." When this concept was introduced to manufacturing in the early 1800's, it led to an explosion of economic benefits. Now, in the early 2000's, we're applying it to medical imaging!
    • Continuous improvement. Anyone who has worked seriously with workflow knows that the system can always be improved. Building in a process of continuous improvement helps maintain quality and make things better.

    These are the elements of success for Candescent Health. I've just described their innermost secrets! But the key is that Candescent Health is actually delivering what I've described, and everyone involved (patient, referring doctor, specialist and hospital) is better off as a result. Everyone wins. Makes me smile.

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