Winter Climbing & AT Skiing on Wildcat A&D (4,422 & 4,062ft.) and Cannon Mountain

Winter Climbing & AT Skiing on

Wildcat A&D (4,422 & 4,062ft.)  and Cannon Mountain

A Study in Contrasts

January 24, 2013

Wes Chapman

Wildcat from Tuckerman

 Wildcat from Tuckerman Ravine on Mt. Washington

      Mt Washington from Wildcat

Mt. Washington from Wildcat

 Cannon Mt.

Cannon Mountain from Franconia Ridge

I enjoy alpine touring (AT) skiing – the semi-old school use of climbing skins and sophisticated bindings to allow cross country functionality on alpine skis. I’ve used them for the last 4 years both to access wild back country areas (occasionally) and/or to get some exercise (frequently) climbing up the front of the mountain – either late in the day or to get to an area closed to lift traffic by a “wind hold”.

Most of the AT skiing that I do is on Sugarloaf in Maine – a delightful Hill that celebrates AT skiers and the bridge to the past that they represent. I’m currently working on the winter 4,000 footers in New Hampshire, and I decided that doing the 3 ski areas in the state on AT gear – Wildcat, Cannon and Waterville Valley (Mount Tecumseh actually) – might be a fun way to get a little skiing and climbing mixed on the same trip. I always buy a lift ticket and do a few “lift assisted” runs together with the climb – it only seems fair.

Wildcat is one of the oldest and most challenging ski areas in the East. The original Wildcat Trail was laid out by the great skier Charley Proctor and cut by the Civilian Conservation Corps beginning in 1933. The development of ski lifts was started shortly thereafter by Brooks Dodge and George Macomber – famous names in eastern skiing in general and Dartmouth skiing in particular. The mountain stands alone without any residential real estate development. The facilities are old school New England skiing, and I absolutely love the place.

Wildcat 005

Looking down Wildcat Ridge to Mt Washington

Wildcat is actually a long (2.5 miles) ridge to the southeast of the Presidential Range. There are 5 peaks on the ridge, 2 of which count as 4,000 footers. The ski area is built on the “D” peak, and it is a 2.1 mile walk down the ridge to the highest summit in the chain – A Peak at 4,422 feet. This is a really nice walk in the winter, and the trail was hard snow and very fast.

Wildcat requires that uphill walking and skiing be done on the Polecat Trail, which is the longest and gentlest grade trail on the Hill. The trail was fast, the crowds light and I was on the top in 1.25 hours. At the top I got to talking with a young woman on the local Ski Patrol – a recently minted MS from Cornell with a degree in botany. She was totally engaging, apologizing for the limitations on AT skiing at Wildcat and the requirement to buy a lift ticket – restrictions that I don’t find particularly onerous.

On the way down the ridge I met a dozen or so fellow climbers and skiers. Wildcat is a hospitable environment for New Englanders who love the mountains that retains the charm of its roots. I am a fan of this place.

The next day my friend Pete and I headed over to Cannon Mountain in Franconia Notch, hoping for a repeat performance. Cannon is a state owned and operated facility in Franconia Notch, which frankly has a fairly poor reputation among skiers and hikers in New Hampshire. Like Wildcat, the ski area was originally cut by the CCC, and dates back to the ‘30’s. Unlike Wildcat, it is wildly festooned with lifts and equipment, designed to suck a little money out of the motorists passing by on I93, located directly below.

I bought a ticket, strapped on my skis and headed up the Hill, only to be promptly turned back by a passing ski patrol. I explained that I had a ticket, and was in no way trying to rip them off – in fact I was paying for lifts that I really didn’t plan to use much. It didn’t matter – climbing in any form was found to violate the delicate sensibilities of the downhill only crowd.

Having a ticket, we took a couple of runs on the blue ice that they make at Cannon instead of snow. We found that most of the best runs had snow making equipment, but no snow. I was not impressed, and Pete was disgusted – he had just spent a couple of days enjoying the skiing at Okemo, and this was an ugly mess by comparison.

 Wildcat 011

Pete enjoying the native deposits of ice at Cannon

Wildcat 010

On the slope at right – a nice trail waiting for someone to turn on the snow guns

We made a couple of runs, and headed back to Hanover for a little cross country skiing to clear our heads and put some distance between us and the ugly memory of Cannon.

If you get a chance, spend a day at Wildcat – it’s a great mountain with a real skier culture. Alternatively, if given a choice between a day at Cannon or working on my taxes, I’d pick the tax work every time.

Wash from Wilcat

Adios, from Wildcat (looking at Mt Washington)

The Opportunity of Oncology ACOs – Strategic Considerations & Challenges – A Return to the Elusive Promise of Capitation

The Opportunity of Oncology ACOs

Strategic Considerations & Challenges:

A Return to the Elusive Promise of Capitation

 

January 24, 2013

Wes Chapman

The Imperative for Strategic Change

         Bobby Fischer & Boris Spassky

Fischer Beats Spassky (again) in their Rematch

 

 

An Oncology ACO

 

Accountable care organizations sprang into the popular parlance in 2006, introduced by Dr. Elliot Fischer of the Dartmouth Institute as a provider driven organization to anchor the push for the “Triple Aim” originally espoused by Dr. Don Berwick;

  1. Better patient care,
  2. Better population health, and
  3. Reduced costs.

ACOs differed from the HMOs from which they were seemingly born by three important characteristics:

1) The organizations were grounded in improved primary care – not just “gatekeepers,”

2) Patient choice was putatively retained, and

3) Continuously improved care – as demonstrated by transparent quality metrics – would drive down costs even as care improved.

 

What was, in fact, clever and demonstrably different about ACOs was the payment mechanism for goods and services. The payment mechanism currently in use allows for a gradual shift: 1) from fee-for-service (FFS) payments, to 2) FFS based payments with risk sharing models and some type of shared savings, and finally to 3) capitated payments based on populations, with significant premiums and penalties for attainment of quality goals. It is important to note that all ACOs models to date use historical costs (provider revenues) – in some fashion – as the baseline for the evaluation of payments in the future; typically for periods of 3-5 years. It is important to note that all ACOs formed to date by Medicare (CMS) are quite idiosyncratic in design, and all are focused on primary care. There have been a few oncology ACOs formed to date – all by private payers and providers.

 

As a result of this payment model, clinical areas which can effectively reduce costs – actual cost from a provider’s perspective, not just utilization – while simultaneously improving care (based on established metrics) can benefit enormously from ACO payment reform. For a variety of reasons, oncology care – particularly medical oncology – is structurally well positioned to benefit financially from the ACO model.

 

There are two major catches in the ACO payment system from a provider perspective: 1) prospective payments always involve some form of a discount from historical levels, and 2) adherence to and attainment of quality metric goals may be difficult or impossible to achieve, and if achieved may not reduce costs or actually improve clinical outcomes.

 

As with any new payment model, ACOs were designed to offer financial incentives for providers to adopt new organization structures and clinical innovations to achieve the Practical Triple Aim: 1) improve patient satisfaction, 2) reduce payer’s outlays, and 3) improve provider financial performance.

 

The high variable cost structure of medical oncology, combined with the care innovation afforded by the emerging areas of palliative care, patient education and informed patient choice (see Palliative Care) offer a unique opportunity for successful ACO formation.

 

Costs, sharing savings, coordinating care, medical homes and dealing with complexity

 

From a practical perspective, oncology care is delivered by numerous clinical specialties – including medical oncology, radiation oncology, surgical oncology, radiology, pathology, primary care and palliation – all too frequently operating without any central care plan or even effective care coordination (see Oncology Care). Based on our work in several different environments, a population of over 250,000 people incurs cancer at a rate of just less than 1%, with a typical cost per patient between $80,000-120,000. Costs for such a population typically are incurred (based on payment) along the following lines:

 

Cost Element

% of Total

Potential Savings

Medical Oncology

35.0%

5-10%

Radiation Oncology

17.5

2.5-5%

Surgical Intervention

22.5

2.5-5%

Radiology and Diagnostic

7.5

2.5%

Other

17.5

5-10%

Total

100.0%

17.5- 32.5%

 

In order to coordinate care and reduce total costs, it is critical to include total patient care in an oncology ACO. As further highlighted below, the cost structure of each of these areas is very different, and simple reduction of utilization may not accomplish actual cost reduction from a provider’s perspective.

 

Cost Element

Description of cost structure

Medical Oncology

Medical   oncology has some of the highest variable costs found in medicine (40-50%).   Capitated payments correspond directly to greater profits because of the   elimination of purchased drugs. The use of clinical pathways and bundles is   becoming widespread – reducing variability and cost. This is also the area of   greatest risk due to high priced medications. This area also has the greatest   level of pathways, process metrics and patient reported outcomes ( Pathways and   metrics,   Patient   reported outcomes)   to ensure quality and best practice adherence.

Radiation Oncology

Radiation   oncology is a very high fixed cost business, and has been under constant   assault from pricing. Extremely expensive equipment and specialized   facilities require high utilization for payback and profit.

Surgical Intervention

Surgical   costs combine the relatively high fixed costs of hospitals, together with the   professional fees, which may be fixed or variable based on employment model.

Radiology and Diagnostic

Radiology   and diagnostic testing is an area of high fixed costs, and dramatic   over-utilization in many circumstances. Over utilization results from poor   care coordination, poor IT systems and patient preference.

Other Costs

Up   to half of other costs are clearly identified as unnecessary care for   therapies which neither extend nor improve life. This is the single easiest   area to target savings, as it does not impact revenue anywhere in the   provider system.

Total

The   ability to translate lower utilization into lower actual incurred cost varies   tremendously by therapy. Lower utilization is necessary, but not sufficient   to achieve cost reduction at the provider level – it will also require   facilities rationalization for capacity requirements.

Another way to consider provider cost rationalization is based on the relative value and efficacy of the care provided – regardless of type of care. A good example is care generally regarded as futile, e.g. any late stage cancer death in the ICU or chemotherapy in the last 24 days of life. Cancer is frequently predictably fatal, and presents cancer patients with certain stark choices regarding tradeoffs of the certain negative impacts of treatment with the possible benefits in terms of marginal extension of life. There are certain operational risks in controlling these costs, as well as a number of key operational considerations as outlined below.

 

Cost Category

Best Payment Model for Cost Control

Risks

Operational Considerations

Overtreatment   Relative to Patient Wishes ACO Limited   risk of reduced access Requires   highly empowered PCP’s, strong medical homes, and excellent data
Pointless   End-of-Life Oncology Care ACO Limited   risk of reduced access Requires   Highly empowered PCP’s, strong medical homes, and excellent data
Pointless   End-of-Life Other Care ACO Limited   risk of reduced access Requires   Highly empowered PCP’s, strong medical homes, and excellent data
High   Variability & “High Price” selection bias in Medical Oncology ACO/Bundles Limited   risk of reduced access Requires   capitation in some form and excellent pathway/bundle definition
Excess   diagnostic testing and radiographic imaging ACO Limited   risk of “under-diagnosis” This   requires excellent IT systems and empowered PCPs

 

The delivery of clinical care in the US is complicated by our fee for service payment system – economics drive care towards a revenue optimization model which maximizes revenue by maximizing the number of touches and the relative value unit (RVU or payment value) per touch. Oncology care further complicates matters by spreading care over three completely separate clinical specialties – medical, surgical and radiation oncology – with little or no coordination between them being the norm. This results in a wildly inconsistent and complex system, operationally opaque to patients, providers and payers alike.

 

An effective medical home – particularly an oncology medical home – with an effective primary care physician is a first and necessary step in providing leadership to untangle the “balls of snakes” that is frequently the flow chart of oncology care delivery. From a patient’s perspective, oncology care is their personal Superbowl – a game with very high stakes. An oncology medical home and oncology PCP affords the patient both a game plan and a quarterback – dramatically improving the odds of victory. From a financial perspective, an oncology medical home and PCP – providing the related planning, palliation and patient education functions – are the only methods to ensure that unnecessary, duplicative and futile care can be identified and eliminated; and the financial benefits of the oncology ACO are realized. The oncology medical home and PCP are absolutely essential elements in achieving the patient satisfaction and financial goals of the Practical Triple Aim.

 

 complex oncology slide

Complex oncology care delivery system – uncoordinated care & uncontrolled costs

Second Slide Simplicity

Planned and coordinated care with rational economic incentives

Critical Management Control Issues in Oncology ACOs

Effective management of a comprehensive oncology ACO requires the integration of 6 fundamental process steps across at least 3 clinical specialties: 1) education of the patient and the determination of patient preferences and goals, 2) planning care for the patient based on best practice pathways, 3) executing the plans with the greatest sharing of resources and diagnostics, 4) integrating palliative care as required, 5) verifying compliance, and 6) updating all of the above as required based on disease condition. There are only a small number of entities in the US capable of managing planned, integrated cancer care in the US, and tiny number capable of effectively managing planned, integrated total patient care including oncology.

 

Most of the 41 NCI designated comprehensive cancer centers are capable of effective care pathway design and selection – development of an effective individual care plan. Most of these are capable of tracking care plan compliance, and a fairly robust suite of process and efficiency metrics. There is one noteworthy for profit player in the area – Cancer Treatment Centers of America – which has really done a terrific job in driving patient satisfaction based on reported diagnostic and care planning, coupled with documented care plan compliance. Finally, there are three noteworthy rural based health systems that stand head and shoulders above the rest in total care planning and documented compliance – Mayo Clinic, Geisinger Health System and Intermountain Healthcare.

 

It is important to note that in virtually every case, the existing operating control systems are integrated into revenue cycle management (RCM) software to a large degree (see Inverted System Requirements), dramatically complicating the ability to move swiftly to a capitated system, rewarding savings.

 

Issues with Shared Savings, Beginnings, Transaction Intensity

 

Oncology ACOs need to be fairly broad to realize their full benefit, but a medical-oncology-only ACO is a good place to start, and really simplifies the ability to identify and capture savings. Most ACOs to date use fee for service billing with a gross up at the end of the year to reflect savings. In any multimodality ACO, this would encourage disparate provider groups to maximize their own billing, while pushing for reduced service levels and savings in other clinical areas. This “best-of-both-worlds” incentive could only be limited by contentious battles refereed by the PCP, and would be destructive and a waste of time. Furthermore, reductions in utilization of high fixed cost operations such as radiation oncology do nothing to reduce actual costs. In these areas, costs can only be reduced by the elimination of capacity – and that requires that somebody take an economic hit.

 

Efficient economic formation of oncology ACOs will benefit from multiple transactions of several types (Transaction Types & Motivations) – targeted at goals including control of operating assets, achieving 340B drug pricing, aligning provider incentives, optimizing pre-ACO reimbursement, forming and engaging provider groups, and controlling assets for rationalization based on projected use. To a very large degree, the operating potential of an oncology ACO depends on factors dependant on well structured and targeted transactions combined with operating management, clinical leadership and IT control systems that allow the economic potential of medical oncology ACOs – potentially reaching 10-30% of margin improvement – to be realized.

The Brave New World of Oncology ACO’s – Inverted Incentives & Inverted IT System Requirements

The Brave New World of Oncology ACO’s

Inverted Incentives & Inverted IT System Requirements

January 15, 2013

Wes Chapman & Steve Maker

           Inverted incentives

Are your oncology IT systems rated for Inverted Flight?

Reality came crashing in yesterday: 106 new accountable care organizations (ACOs) were approved by Medicare (CMS), including a 1-million+ person ACO formed and operated by Walgreen’s. That’s right, Walgreen’s the pharmacy chain.

The wave of primary care ACOs is turning into a tsunami. These CMS-endorsed primary care ACOs are the first step in moving to capitated payment models, driven by quality metrics to ensure patient satisfaction and high quality. Blessedly, only 33 metrics are required for the first couple of years as these organizations get moving – with the vast majority of the metrics already being captured in patient surveys and existing EMRs.

Not waiting for Medicare to figure out the metrics and operating formulas for specialty ACOs, two oncology-specific ACOs have been formed by private payers in Florida, with 6 more being formed in other venues. These oncology ACOs offer unique opportunities for care improvement and cost reduction, but demand vastly more complex data gathering and management systems to function – not to mention meet their full potential for cost savings and care improvement.

Clinical and financial success in oncology ACOs depend on the same three key factors:

1)      Expanded patient education, involvement and shared decision making,

2)      Dramatically expanded palliative care, and

3)      The use of and documented adherence to best practice clinical pathways and multi-modality care plans – increasingly paid as “bundled payments”.

From an IT system perspective, the fundamental problem is that none of these three factors is adequately captured in any oncology setting today, and many are not captured at all. Some of the more advanced “oncology tuned” electronic medical records (EMRs) capture some of the more popular oncology oriented metrics – such as the core QOPI metric package promulgated by the American Society of Clinical Oncology (ASCO) – but none even begins to adequately capture the detail necessary to verify compliance with best practice guidelines.

How did this happen? The answer is pretty simple. Like most hospital IT environments, oncology clinical data systems are a patchwork quilt of interconnected systems – all pointed at the financial goal of revenue maximization. Data flows are dictated by revenue cycle management software systems designed to maximize revenue through coding optimization. Best practice pathway compliance and related quality/cost improvement systems are antithetical to the fundamental design precepts of existing oncology data systems.

Compounding the problem, most private payers are currently encouraging pilot projects (and in some cases the full implementation) of bundled payments for medical oncology. We have seen these in a large variety of shapes and sizes, but in all cases either requires: 1) the use of proprietary payer-sponsored external IT systems (always requiring double sign-on and data entry), or 2) manually documented internal compliance systems. Not too surprisingly, the resistance to the use of external data systems and duplicate data entry is enormous, and documented internal compliance currently means monthly “hair-on-fire” chart reviews – neither accurate nor sustainable.

Oncology ACOs have the potential to be uniquely profitable while simultaneously dramatically improving care quality and patient satisfaction – but only if the data required for operation is readily available on nearly a real-time basis.

PCD is building an oncology-specific quality and management system to address these issues immediately, but more importantly, to allow the full benefit in both cost and quality to oncology ACO operators. Our market research and work with current clients have revealed myriad obstacles for providers trying to create a sustainable system on their own. Here’s a sample of the user issues:

  • We have no good means to collect data to support our claims for payment under bundles.
  • We have no way of keeping up with the evolving requirements (particularly bundles) for the multitude of payers we deal with.
  • We have no way to calculate metrics against targets to guarantee payments.
  • We use bundles, but have no way to determine whether our clinicians have picked the approved bundle, let alone are following it.
  • We are a multi-organization ACO, and have no way to link all the systems needed for reporting.
  • The data we do collect doesn’t have enough detail to let us manage performance or tell us whether we’re improving.
  • We have no way of knowing whether we’re on track for success. We have to guess until we finally pull it all together right before deadline—which is too late to make adjustments.
  • We have no capital to put a big system in place. We need a solution that’s both fast to set up and has realistic ongoing costs for which we can budget.

Our system design contemplates 6 fundamental design requirements to address these salient issues:

1)      All data must come via push or pull from existing clinical data systems – double entry simply won’t work,

2)      Data must be available on customizable dashboards rapidly enough to be clinically actionable,

3)      All relevant quality metrics, standard care plans and clinical pathways must be maintained in the system, with data extracted from the clinical environment used for compliance validation

4)      The system must function in a HIPAA compliant cloud environment, with no additional infrastructure investment required at the customer site

5)      All data access is roles and permission based

6)      Day-to-day operation and configuration is controlled at the customer site

If you have any thoughts about the design of IT systems for oncology ACOs, let us know your thoughts below – we’re all ears on these design requirements.