By OWEN TRIPP
For decades, quality in healthcare has been defined in terms of the industry, not people. New technologies and innovative health plan designs are finally changing that.
People know quality when they see it and they definitely don’t see it in healthcare. Fifty-six percent of Americans rate the quality of care as “poor” or “fair,” and 90% believe We are paying more for it. Likewise, 80% of employers (collectively the largest purchasers of health care in the country) say that higher quality care is a top priority for your workforce.
And yet, the American healthcare system remains a world leader; lack of knowledge or quality control is not the problem. The problem is the wide gap between how the healthcare industry has historically defined quality and how it is experienced by the people who actually receive and pay for care.
Over the past 75 years, the quality of healthcare has been shaped by a group of federal agencies, accreditation bodies, medical organizations, health insurers and, more recently, consumer-focused rating bodies ranging from US News and World Report to Zocdoc. Although many pay lip service to the patient experience, none have clearly defined quality (or explained it intuitively enough) to help people make smarter healthcare decisions based on their clinical experiences. and financial context.
Healthcare must move beyond narrow metrics and lists of top doctors to create a dynamic, values-driven vision of quality that consistently connects people to the best care. for themwhere and when they need it and, ideally, before they even know they need it. Too often, “quality” equates to a few numbers on a dashboard, when what you need is more a combination of GPS and driver-assist technology: guiding people toward their health goals, keeping them in the highest-quality lane, and giving them a nudge if they start to drift.
This was always the vision (for some of us). But we simply haven’t had the right mix of technology and connectivity across the system to bring it to life. Now we do it.
AI and dynamics alternative health plan designs (to name just two innovation hotspots) are finally putting people and buyers in the driver’s seat by making quality healthcare. multidimensional, personalizedand actionable.
1. Multidimensional
In virtually all other purchasing decisions, consumers optimize quality based on needs, preferences, priorities, and budget. Healthcare is the outlier. Providers and insurers (among others) have made this decision-making impossible by dividing key dimensions of quality (outcomes, experience, and cost) that people are right about. see as a whole. (This was the basic idea behind the triple objectivewhich still exists two decades later).
No one in healthcare has successfully optimized all dimensions. Hospitals and health systems have been optimized to results focusing on specialized care and cutting-edge treatments that improve your US News classification, while also increasing unit costs. Insurers have optimized cost through utilization management and tactics such as prior authorization, while degrading healthcare experience for patients and providers.
This fragmentation has led us astray. Without a clear roadmap to quality, people turn to word of mouth, dubious ratings, and unreliable health plan directories. As a result, many people unknowingly go to lower-quality doctors, undergo unnecessary procedures, and avoid cost-effective primary care in favor of expensive specialists in highly-rated hospitals. However, every day, even at top academic medical centers, doctors of varying experience make questionable decisions (such as recommending surgery) that do not consider the whole person, significantly affecting outcomes and health. health expenditure for both individuals and populations.
In 2014, I co-founder Grand Rounds (since renamed Health Included) to fill gaps in existing quality metrics and guide people to the best possible care by creating a more complete picture of individual clinical judgment and individual patient needs. With the help of machine learning, we analyze billions of data points to disentangle associations between physician characteristics and credentials, health claims, patient experience ratings, and the many contextual factors (including the quality of the institution where a physician works and the patient’s specific medical history) that influence subsequent clinical and financial outcomes.
Considering quality in all dimensions makes a difference. With over a decade of data under our belt, we have consistently found that people who connect with higher-quality providers and settings through our platform experience better outcomes and are more likely to remain engaged in care, which in turn drives short- and long-term cost savings by (for example) reducing avoidable surgeries, ER visits, and hospitalizations.
2. Custom
But we also knew from the beginning that quality is more complex than labeling doctors as “good” and “bad.” The reality is that some doctors are great for certain needs and certain patients, but not for others. Even for two people with the same underlying medical condition, quality can look very different, depending on their clinical, financial and social context. That’s where customization comes in.
Incorporating each person’s unique context into how we define quality is a profound and long-awaited mindset shift. Rather than dwelling on conventional provider metrics and retrospective claims data, which are important but incomplete, a truly personalized, person-centered approach requires leveraging a much broader range of data sources to proactively adjust patient-provider fit and deliver the highest quality care for that person, at that moment.
It’s difficult to scale this level of customization, but AI has been a game-changer. Now, the underlying machine learning next generation quality platforms can dynamically leverage data from hundreds of sources across the healthcare ecosystem, including the EHR, previous clinical interactions, and stated patient needs and preferences. Additionally, personalized AI healthcare assistants They proactively collect information 24/7 that helps (human) care teams create individual care plans to keep people “in quality” throughout their healthcare journey.
Even before people express a specific need, chat-based interactions provide a longitudinal record of personal health goals, what is working (or not working), and relevant barriers or limitations. If a person needs a Spanish-speaking provider near public transportation, for example, or prefers virtual primary care to in-person care, those signs can now seamlessly inform real-time recommendations and guidance.
3. Actionable
However, behind-the-scenes customization is not enough. A critical third step is to convey quality-related knowledge to people in easy-to-understand terms that make them feel confident in their next best action. At Incluído Health, we’ve found that explaining the rationale behind recommended providers in our digital app, with the right level of detail, increases the likelihood that the person will follow through with that recommendation and actually schedule an appointment.
A simple, easy-to-use view of quality is especially important when it comes to provider networks and cost sharing. The tiered networks that underpin most HMOs, PPOs, and high-deductible health plans (and the corresponding cost differences) are notoriously confusing to consumers. Lack of clarity about why certain doctors or facilities are in-network or out-of-network, how quality is defined, and how that translates to coinsurance and deductibles leads people to make suboptimal decisions, resulting in fragmented and prolonged care, higher out-of-pocket costs, and greater waste and inefficiency in the system overall.
This long-standing pattern is generating a lot of interest alternative health plans that combine quality-based networks and simple, transparent pricing (often just co-payments) to incentivize and guide people toward quality. The most sophisticated of these plans incorporate dynamic networks, AI-focused digital experiences, and clear financial signals to guide people toward high-quality, high-value care.
Musculoskeletal conditions are a good example. For a routine knee x-ray, the variation in quality between facilities is quite low; we should direct people to a low-cost facility nearby, rather than the expensive academic medical center downtown. But if the x-ray suggests a knee replacement, provider and facility quality suddenly becomes highly variable and important, and the academic medical center may then offer the best outcome at the lowest possible cost.
We can’t expect the typical consumer (or any of us, for that matter) to do this kind of calculation on their own. They need guidance, and to be truly actionable at the point of care, that guidance must be built into the initial experience. With the help of AI, healthcare quality platforms, like the navigation and safety systems in our cars, need to instantly translate the mass of available data into simple visual cues, personalized nudges, and clear directions. Any definition of “quality” that doesn’t keep people moving toward their goal isn’t working.
A generational opportunity
The confluence of new technologies and new ideas described here has created a turning point in healthcare. For the first time, healthcare innovators have the ability to simultaneously optimize outcomes, experience and costs with the nuance and speed needed. This is a generational opportunity (even a mandate), but it comes with responsibility.
Quality must be at the center of the healthcare experience. Supplier recommendation tools and other quality platforms have proliferated in recent years, and many of them have failed to deliver lasting value to people and buyers. If the definition of quality at the center of these platforms is narrow, flawed, or (worst of all) biased in favor of stakeholders with an interest in the status quo, they risk exacerbating the mediocre outcomes and unsustainable costs dragging down American healthcare.
No matter how sophisticated the technology is, if we don’t redefine quality in a way that puts people first, we will continue to go in the wrong direction. The good news is that, for the first time, we have everything we need to do it right.
Owen Tripp is the co-founder and CEO of Health includedan all-in-one personalized healthcare company.
