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Healthcare costs are growing slower now than any point in past 5 decades. via The Washington Post
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Healthcare costs are growing slower now than any point in past 5 decades. via The Washington Post
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A useful summary from Healthcare.gov:
The Affordable Care Act makes investments to help raise the quality of care, while giving Americans – and their health care providers – more control over their health care. It puts patients’ relationships with their doctors and nurses ahead of insurance company profits and paperwork, and gives health care providers incentives to better coordinate care. The Affordable Care Act also ensures that millions of Americans will have access to affordable insurance – giving them access to the quality care you deliver.
What Does the Affordable Care Act Mean for Doctors, Nurses, and Other Health Care Providers?
For health care providers, health reform is designed to make our health care system stronger and make it work better for you and your patients:
Of course, none of these changes can happen without highly trained and dedicated health care professionals – and independent experts are already projecting that, unless we take action, we will see a shortfall in primary care providers. For that reason, the Affordable Care Act will make an unprecedented investment in workforce development:
Talking to Your Patients About Health Reform
When patients have questions about their care or coverage, they often turn to one of their most trusted sources: the men and women who care for them when they are sick or injured. Your patients are likely to have a lot of questions about how health reform will affect them. Here are a few key things about the new law to remind patients about:
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You’ve experienced it yourself, or you’ve heard it from your friends. The indignity of asking mom to wear an “I’ve-fallen-and-can’t-get-up” necklace because she’s had one or two close calls lately. The feeling of dread when dad calls up and says, “I’ve been feeling not-so-great over the past few…
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Steve Brill’s article in Time (Bitter Pill) provided several real-life stories of the unfortunate impact rampant prices in healthcare have on under-insured individuals.
This slide from Martin Gaynor’s recent presentation at the American Enterprise Institute (video here) illustrates that the unfairness in the healthcare system is in large measure due to rampant prices in chargemasters:

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One of the seminal moments in the early days of the Web 2.0 era, was a simple default setting.
At launch, a new photo service called Flickr set the default on images shared to “public”. This was a stark contrast to the rest of their competitors at the time who all defaulted to private.
This…
Another good set of examples of applied behavior economics:
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Evidence suggests that prediction models for hospital readmissions have room to improve.
Link here to article by Kansagara et al in JAMA 2011. Their conclusion:
“Most current readmission risk prediction models, whether designed for comparative or clinical purposes, perform poorly. Though in certain settings such models may prove useful, efforts to improve their performance are needed as use becomes more widespread.”
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But someday health care will be more like highway traffic; we will be able to see it unfold in real time, and we will see how well people get to their goals by their chosen routes. Millions of people will be uploading daily statistics with tools that monitor not just activity, but also blood composition and – courtesy of the Japanese – chemicals in our urine.
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Nice discussion about the relative value of two types of analytics here: http://healthsystemcio.com/2012/06/13/a-suggestion-about-predictive-analytics/.
Also a commenter offers an interesting reframing of the discussion as analytics to discover “known unknowns” or “known unknowns”.
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Characteristically clear article from Peter Orzag discussing fiscal challenges in context of healthcare cost and value. (Link here: https://secure.www.cfr.org/economics/healthcare-americas-real-problem/p29860)
His prescription for managing healthcare costs:
“Three steps would be particularly helpful – starting with the acceleration of the shift from paying for specific services to paying for “value”. Second, promote evidence-based medicine by connecting electronic health records with patient registries and by prohibiting malpractice suits when doctors follow professional guidelines.
Finally, we should require any patient admitted to a hospital to fill out an advance directive about their end-of-life care preferences. This reduces costs as some patients choose to skip expensive, often painful procedures towards the end of their lives.”
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Next week I will participate in a panel at Duke University discussing business models for patient engagement. We need successful business models that successfully help patients to take an active role in maintaining wellness, treating disease, and improving health outcomes. Why?
There are many relevant questions to this topic: How should one construct business models for patient engagement? Which capabilities do payers, providers, manufacturers, patients need to support patient engagement? What should entrepreneurs solve for?
My views on the subject have been shaped by my personal experience with the health system and professional experience serving therapeutics manufacturers and collaborating with emerging Health IT, MedTech Services companies. I use a template to help understand how patient engagement works. The template involves the interaction of interventions, relationships and incentives:
1. Interventions that influence health outcomes.
An intervention is any action that an individual takes or allows a healthcare practitioner to perform. Types of interventions are limitless. From what one puts in (i.e., food, tobacco, etc.), around (second hand smoke, sun, etc.), or does (exercise, etc.) to one’s body, to a medication, device, surgery, behavior a healthcare practitioner prescribes.
2. Relationships that influence interventions.
Relationships encompass personal relationships with religion, family members, friends, food, alcohol, and professional relationships with educators, healthcare providers, health insurers, product manufacturers and other service providers. Each relationship creates a frame of reference for an intervention. Relationships interact in complex ways.
3. Incentives that influence relationships.
The easiest incentives to describe are economic ones at a personal or health system level. However, there are some other incentives (such as psychological and behavioral ones) that are harder to describe, and still being studied. Incentives weigh in on relationships that in turn influence interventions.
This is an simplified template to help understand patient engagement, especially compared to the vast literature on the topic of patient engagement. But it helps tease apart important factors at play.
Business models must navigate the three forces above in a way that creates differential value to all stakeholders. It need not be a “zero sum game” (i.e., everyone can win). In their essence, business models is a combination of choices of (a) a customer base and value proposition to deliver, (b) resources (human, technology, financial capital), (c) delivery process, and finally (d) a profit equation. (Clayton Christensen and others discuss this at length.)
With four degrees of freedom, there are many business model designs to choose from, but subject to who you are and where you are starting from and the practical constraints of today’s health system incentives and policies.
A patient engagement business model will win when it can repeatedly deliver differential health outcomes, at lower cost with high levels of patient satisfaction.
I’m looking forward to discussing the topic and learning from the panel and the conference attendees next week.
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Saccos, Cambridge MA
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In addition to a previous (Feb 15, 2012) post on this topic, helpful to ask insightful questions (rather than toss-aways) when discussing career options with a potential employer (via Jeff Haden at Inc. magazine):
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If we have data, let’s look at data. If all we have are opinions, let’s go with mine.
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Useful summary of options and considerations for financing risky (pharmaceutical) projects:
In an earlier blog post, I provided an overview of creative R&D financing structures utilized in the biotechnology industry over the years, and the related accounting consequences of such structures. These structures normally involve the use of a special purpose entity (SPE) that licenses one or more product candidates from a sponsor company (which retains a buyback option on the products or on the entire SPE), raises capital from third party investors and then funds research on the licensed products. The risk of development in these structures falls with the SPE, with a significant upside to the third party investors if the repurchase is eventually exercised.
Over the course of time in the biotech industry, these structures have been motivated either by profit and loss considerations (for example by recently profitable entities seeking to move some R&D expenses off the financial statements), or by purely the need to access capital (for example by loss making biotechs with reduced options for traditional fundraising). From the perspective of the sponsor company, the income tax considerations of these structures has historically been, at most, a nominal consideration, and thus the structuring dialog has focused primarily on governance and financial reporting.