Epic Systems makes the dominant electronic health record (EHR) system in America; if you're a doctor, chances are you are required to use it, and for every hour a doctor spends with a patient, they have to spend two hours doing clinically useless bureaucratic data-entry on an Epic EHR.
How could a product so manifestly unfit for purpose be the absolute market leader? Simple: as Robert Kuttner describes in an excellent feature in The American Prospect, Epic may be a clinical disaster, but it's a profit-generating miracle:
At the core of Epic's value proposition is "upcoding," a form of billing fraud that is beloved of hospital administrators, including the "nonprofit" hospitals that generate vast fortunes that are somehow not characterized as profits. Here's a particularly egregious form of upcoding: back in 2020, the Poudre Valley Hospital in Ft Collins, CO locked all its doors except the ER entrance. Every patient entering the hospital, including those receiving absolutely routine care, was therefore processed as an "emergency."
In April 2020, Caitlin Wells Salerno – a pregnant biologist – drove to Poudre Valley with normal labor pains. She walked herself up to obstetrics, declining the offer of a wheelchair, stopping only to snap a cheeky selfie. Nevertheless, the hospital recorded her normal, uncomplicated birth as a Level 5 emergency – comparable to a major heart-attack – and whacked her with a $2755 bill for emergency care:
Upcoding has its origins in the Reagan revolution, when the market-worshipping cultists he'd put in charge of health care created the "Prospective Payment System," which paid a lump sum for care. The idea was to incentivize hospitals to provide efficient care, since they could keep the difference between whatever they spent getting you better and the set PPS amount that Medicare would reimburse them. Hospitals responded by inventing upcoding: a patient with controlled, long-term coronary disease who showed up with a broken leg would get coded for the coronary condition and the cast, and the hospital would pocket both lump sums:
The reason hospital administrators love Epic, and pay gigantic sums for systemwide software licenses, is directly connected to the two hours that doctors spent filling in Epic forms for every hour they spend treating patients. Epic collects all that extra information in order to identify potential sources of plausible upcodes, which allows hospitals to bill patients, insurers, and Medicare through the nose for routine care. Epic can automatically recode "diabetes with no complications" from a Hierarchical Condition Category code 19 (worth $894.40) as "diabetes with kidney failure," code 18 and 136, which gooses the reimbursement to $1273.60.
Epic snitches on doctors to their bosses, giving them a dashboard to track doctors' compliance with upcoding suggestions. One of Kuttner's doctor sources says her supervisor contacts her with questions like, "That appointment was a 2. Don’t you think it might be a 3?"
Robert Kuttner is the perfect journalist to unravel the Epic scam. As a journalist who wrote for The New England Journal of Medicine, he's got an insider's knowledge of the health industry, and plenty of sources among health professionals. As he tells it, Epic is a cultlike, insular company that employs 12.500 people in its hometown of Verona, WI.
The EHR industry's origins start with a GW Bush-era law called the HITECH Act, which was later folded into Obama's Recovery Act in 2009. Obama provided $27b to hospitals that installed EHR systems. These systems had to more than track patient outcomes – they also provided the data for pay-for-performance incentives. EHRs were already trying to do something very complicated – track health outcomes – but now they were also meant to underpin a cockamamie "incentives" program that was supposed to provide a carrot to the health industry so it would stop killing people and ripping off Medicare. EHRs devolved into obscenely complex spaghetti systems that doctors and nurses loathed on sight.
But there was one group that loved EHRs: hospital administrators and the private companies offering Medicare Advantage plans (which also benefited from upcoding patients in order to soak Uncle Sucker):
The spread of EHRs neatly tracks with a spike in upcharging: "from 2014 through 2019, the number of hospital stays billed at the highest severity level increased almost 20 percent…the number of stays billed at each of the other severity levels decreased":
The purpose of a system is what it does. Epic's industry-dominating EHR is great at price-gouging, but it sucks as a clinical tool – it takes 18 keystrokes just to enter a prescription:
Doctors need to see patients, but their bosses demand that they satisfy Epic's endless red tape. Doctors now routinely stay late after work and show up hours early, just to do paperwork. It's not enough. According to another one of Kuttner's sources, doctors routinely copy-and-paste earlier entries into the current one, a practice that generates rampant errors. Some just make up random numbers to fulfill Epic's nonsensical requirements: the same source told Kuttner that when prompted to enter a pain score for his TB patients, he just enters "zero."
Don't worry, Epic has a solution: AI. They've rolled out an "ambient listening" tool that attempts to transcribe everything the doctor and patient say during an exam and then bash it into a visit report. Not only is this prone to the customary mistakes that make AI unsuited to high-stakes, error-sensitive applications, it also represents a profound misunderstanding of the purpose of clinical notes.
The very exercise of organizing your thoughts and reflections about an event – such as a medical exam – into a coherent report makes you apply rigor and perspective to events that otherwise arrive as a series of fleeting impressions and reactions. That's why blogging is such an effective practice:
The answer to doctors not having time to reflect and organize good notes is to give them more time – not more AI. As another doctor told Kuttner: "Ambient listening is a solution to a self-created problem of requiring too much data entry by clinicians."
EHRs are one of those especially hellish public-private partnerships. Health care doctrine from Reagan to Obama insisted that the system just needed to be exposed to market forces and incentives. EHRs are designed to allow hospitals to win as many of these incentives as possible. Epic's clinical care modules do this by bombarding doctors with low-quality diagnostic suggestions with "little to do with a patient’s actual condition and risks," leading to "alert fatigue," so doctors miss the important alerts in the storm of nonsense elbow-jostling:
Clinicians who actually want to improve the quality of care in their facilities end up recording data manually and keying it into spreadsheets, because they can't get Epic to give them the data they need. Meanwhile, an army of high-priced consultants stand ready to give clinicians advise on getting Epic to do what they need, but can't seem to deliver.
Ironically, one of the benefits that Epic touts is its interoperability: hospitals that buy Epic systems can interconnect those with other Epic systems, and there's a large ecosystem of aftermarket add-ons that work with Epic. But Epic is a product, not a protocol, so its much-touted interop exists entirely on its terms, and at its sufferance. If Epic chooses, a doctor using its products can send files to a doctor using a rival product. But Epic can also veto that activity – and its veto extends to deciding whether a hospital can export their patient records to a competing service and get off Epic altogether.
One major selling point for Epic is its capacity to export "anonymized" data for medical research. Very large patient data-sets like Epic's are reasonably believed to contain many potential medical insights, so medical researchers are very excited at the prospect of interrogating that data.
But Epic's approach – anonymizing files containing the most sensitive information imaginable, about millions of people, and then releasing them to third parties – is a nightmare. "De-identified" data-sets are notoriously vulnerable to "re-identification" and the threat of re-identification only increases every time there's another release or breach, which can used to reveal the identities of people in anonymized records. For example, if you have a database of all the prescribing at a given hospital – a numeric identifier representing the patient, and the time and date when they saw a doctor and got a scrip. At any time in the future, a big location-data breach – say, from Uber or a transit system – can show you which people went back and forth to the hospital at the times that line up with those doctor's appointments, unmasking the person who got abortion meds, cancer meds, psychiatric meds or other sensitive prescriptions.
The fact that anonymized data can – will! – be re-identified doesn't mean we have to give up on the prospect of gleaning insight from medical records. In the UK, the eminent doctor Ben Goldacre and colleagues built an incredible effective, privacy-preserving "trusted research environment" (TRE) to operate on millions of NHS records across a decentralized system of hospitals and trusts without ever moving the data off their own servers:
The TRE is an open source, transparent server that accepts complex research questions in the form of database queries. These queries are posted to a public server for peer-review and revision, and when they're ready, the TRE sends them to each of the databases where the records are held. Those databases transmit responses to the TRE, which then publishes them. This has been unimaginably successful: the prototype of the TRE launched during the lockdown generated sixty papers in Nature in a matter of months.
Monopolies are inefficient, and Epic's outmoded and dangerous approach to research, along with the roadblocks it puts in the way of clinical excellence, epitomizes the problems with monopoly. America's health care industry is a dumpster fire from top to bottom – from Medicare Advantage to hospital cartels – and allowing Epic to dominate the EHR market has somehow, incredibly, made that system even worse.
Naturally, Kuttner finishes out his article with some antitrust analysis, sketching out how the Sherman Act could be brought to bear on Epic. Something has to be done. Epic's software is one of the many reasons that MDs are leaving the medical profession in droves.
Epic epitomizes the long-standing class war between doctors who want to take care of their patients and hospital executives who want to make a buck off of those patients.
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If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
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AUGUSTA, GA - Exhausted and admittedly burned out from taking notes for emergency room (ER) health care professionals at Augusta Medical Center, medical scribe Amy Bruckner has taken it upon herself to hire her own medical scribe to help ease the burden. "Meet Tim, he's my new medical...
Read more on https://gomerblog.com/2018/05/medical-scribe/?utm_source=TR&utm_campaign=DIRECT
Exhaust Heat Recovery System Market Complete growth overview in 2026-2032 including top key players
Exhaust Heat Recovery System Market Size:
Exhaust Heat Recovery Market is estimated to reach over USD 60,400.83 Million by 2032 from a value of USD 36,371.41 Million in 2024 and is projected to grow by USD 38,119.42 Million in 2025, growing at a CAGR of 7.1% from 2025 to 2032. Exhaust Heat Recovery (EHR) systems capture thermal energy that would otherwise be wasted. In 2026, these systems are critical for meeting the stringent "Net Zero" industrial mandates and improving the fuel economy of hybrid vehicles.
Technological Innovation & [Exhaust Heat Recovery System Market] Integration:
 The Exhaust Heat Recovery System Market is currently being transformed by Thermoelectric Generator (TEG) integration. Unlike traditional heat exchangers, these solid-state devices convert heat directly into electricity with no moving parts, making them ideal for the compact engine bays of hybrid vehicles.
Regional Dynamics:
Europe leads in industrial EHR adoption due to high carbon taxes. Asia-Pacific dominates the automotive EHR segment, led by Japanese and Korean hybrid vehicle manufacturers.
End-User Industry Adoption:
Power Generation and Heavy Industry (Cement/Steel) are the largest segments. The Automotive segment is seeing a 9% rise in adoption specifically within the plug-in hybrid (PHEV) market.
Key Restraints:
The rising adoption of alternative technologies such as electric batteries are emerging as a significant restraint in the exhaust heat recovery system market. Governments and manufacturers worldwide are heavily investing in these technologies to achieve zero emission goals, driven by stringent environmental regulations and consumer demand for green transportation. Electric batteries eliminate the need for internal combustion system, also gaining traction due to advancement in charging infrastructure.
Supply Chain:
Focus is on Nickel-based super alloys and high-conductivity ceramics. Supply chain resilience is being built through localized production of heat-exchange cores in major manufacturing hubs.
Key Market Drivers:
The 30% rise in industrial energy prices and the implementation of the IMO 2026 Carbon Intensity Indicator (CII) for maritime vessels are forcing operators to adopt EHR to maintain profitability.
Regulatory:
Tighter Tier 4 Final emission standards for off-road machinery are mandating EHR systems to help manage exhaust temperatures and improve SCR (Selective Catalytic Reduction) efficiency.
Challenges:
High back-pressure risks in exhaust systems and the long payback period (ROI) for smaller industrial facilities remain the primary market hurdles.
Exhaust Heat Recovery System Market Scope & Overview:
Exhaust Heat Recovery System (EHRS) is designed to capture and reuse the heat energy from the exhaust gases of an internal combustion engine. The EHR system improves overall energy by converting waste heat energy into useful energy forms. Moreover, this technology can be used in car, truck or SUV with an internal combustion engine, and also in hybrid vehicles to recover useable energy in the form of electrical energy.
Competitive Differentiation:
Winners are offering "Organic Rankine Cycle" (ORC) modules that are compact enough to be retrofitted into existing factory layouts with minimal disruption.
Future Outlook:
By 2033, the market will exceed USD 4.8 Billion, with a move toward Hydrogen-combustion EHR to manage the unique thermal profiles of zero-carbon fuels.
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The rapid deployment of technology — particularly in sectors like healthcare and artificial intelligence — often leads to unforeseen consequences, a phenomenon known as ‘systemic blowback’. This isn’t simply about bad luck; it’s a predictable outcome when systems are implemented without sufficient consideration for their long-term impacts. The core issue revolves around prioritizing short-term…
The Promise of Digital Twin Technology in Personalized Healthcare
Healthcare is the fastest and most highly evolving sector in today’s world, along with the birth of different technologies that are playing a vital role in the medical field in terms of solving new problems uniquely and helping professionals provide effective treatments. Digital twin technology is used in many fields and healthcare is one of its applications. DT is one among healthcare technologies and is an innovative approach that uses digital replicas of physical entities to predict various health-related issues. This has become a promising tool that can be used in transforming personalized healthcare. In this article, let us discuss in detail this technology and its prominent role in finding solutions to various health-related problems that are improving patient care.Â
Defining Digital Twin TechnologyÂ
Digital twin technology is the process of creating or making virtual models that are replicas of real entities like human organs, systems, physiological acts, or even the entire organism. These virtual models can be used later for simulation, and analysis, and hence we can learn or understand the behavior of an individual in different conditions. This helps medical professionals or specialists to study the particular person in detail which in turn can be more effective and accurate in the diagnosis process.Â
A DT on creating a virtual model can used to conduct surgeries and oversee the effects virtually that might occur on undergoing the real surgery on the patient’s body. This will help in preventing future harm and suffering from pain. All the virtual replicas are updated regularly with data from different sources like wearable health devices, genetic information, and electronic health records (EHRs) for maintaining accuracy. Thus, by integrating all this information doctors and find valuable insights into a patient’s health conditions and hence can provide personalized diagnoses.
Digital Twin Technology working in healthcareÂ
Digital twin technology mainly works by data integration from different healthcare resources. But it is done in three steps which include the creation of a blueprint, the construction of the first digital twin model, and the third is enhancing its capacity. The data that is integrated will contain the important elements of the patient like medical history, lifestyle, genetic makeup, physical behavior, and emotional factors. All these can be gathered using sensors or wearable medical devices.Â
Later these digital twins are analyzed using advanced machine learning techniques that can identify and provide meaning or informative patterns, and prediction of future outcomes, and will also give suggestions that can be adopted in personalized treatment plans.
Benefits of Digital Twin TechnologyÂ
A DT technology can be used as the predicting analysis that showcases the results of your diagnosis without actually doing it on the human body. The process of regular and continuous monitoring of the updated real-time data through virtual twins doctors can detect the symptoms at the early stage and is an alert for professionals so that they can take precautionary measures for patients. With his proactive approach, many diseases can be prevented well before.
It is also a very useful approach to monitoring patients remotely as one need not visit physically to provide or get their health updates. This benefits chronic patients as it gives access to continous support and care by healthcare providers. The major use is to provide personalized care and precision medicines based on the individual’s unique character and genomic factor. Along with this analysis of various scenarios, one can get optimization in treatment depending on the outcome effects with this, doctors can adopt effective and better treatment strategies. Apart from all these DT is a powerful tool for learning drug effects, disease symptoms, and research areas for conducting clinical trials.
Conclusion
To conclude, along with its benefits in various areas of healthcare, certain challenges need to be encountered. The major difficulty is data privacy and security which comes with the major concern of misusing personal and detailed information of the patient. Accuracy may be also an issue as in some cases predictions may go wrong and may cause severe effects. With careful planning and implementation, digital twin technology has the potential to improve patient outcomes and transform the future of healthcare.
Visit More : https://thehealthcareinsights.com/the-promise-of-digital-twin-technology-in-personalized-healthcare/
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