Choosing the Right Data Source for your Physician Relations Program

By Tony Camarata

 

In the modern healthcare landscape, the need for reliable physician intelligence and a strategic physician relations strategy is only continuing to grow. With 32 million newly insured Americans entering the healthcare system as a result of the Affordable Care Act and a physician shortage—projected to climb to more than 90,000 by 2020—healthcare providers must have a comprehensive understanding of the physician relationships within their market, the available service line opportunities, and an accurate measure of inbound and outbound patient trends in order to stay ahead of the growing healthcare need.

 

When building a physician relations strategy, it is important for healthcare providers to be tapped into a reliable data source and a trustworthy physician referral tool. An understanding of the datasets available and reasons why certain physician tools use certain datasets can empower you to make the right decision in the tool that will best suit your needs.

 

Using the best available data can provide a clear roadmap for health providers focused on strategic growth. By fostering effective communication with physicians, relations experts can identify trends, issues, and opportunities and ultimately improve the overall quality of patient care delivered to their service area by accurately understanding the market needs. There are three main data sources to consider. Use of one or more of these datasets can be helpful when building a well-rounded physician relations strategy.

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Best Practices in Physician Relations

by Lee Ann Lambdin

Interviews with: Mitzi Kent and Dustie Maguire

 

Originally shared as a webinar, on April 12, 2016, this interview with Stratasan and LifePoint Health discusses the organization of physician relations, goals and responsibilities, hiring and leadership, relationship building techniques, intelligence and information, and compliance. You can see presentation slides and hear the audio from the webinar presentation here.

 

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Best Practices for Physician Recruitment and Data Sensitivity

by Tony Camarata

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The misuse of physician recruitment data has become big business for the Department of Justice. Since January 2009, the DOJ has recovered a total of more than $25 billion through False Claims Act cases, with more than $16 billion of that amount recovered in cases involving fraud against federal healthcare programs. In the face of this increasing enforcement activity, thoughtful understanding and appropriate implementation of referral and recruitment data is more important than ever.  

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3 Takeaways on the State of Healthcare in D.C.

Lessons Learned with Leadership Health Care

by Drake Jarman

 

This past week I attended the Nashville Health Care Council’s Leadership Health Care Delegation in Washington D.C. We heard from members of Congress, administration officials, capitol hill staff, and national thought leaders as they discussed key health care policy issues, federal health care spending priorities, and reform implementation.

Nashville Health Care Council’s Leadership Health Care Delegation

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Hospital Pay Cuts: Breaking Down the HAC Scoring System

by Christian Nicholl, Jason Haley, and Hank Neuhoff

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The Affordable Care Act was implemented to ensure that patients would have access to affordable, high quality, and safe healthcare. Regulations and measures were put in place to make certain that hospitals were meeting these newly implemented standards of care and safety. These standards, known as the Health-Acquired Conditions (HAC) requirements, have led to more in-depth scrutiny into whether hospitals are truly doing everything they can to reduce preventable infections and patient death through unnecessary complications.

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Best Practices for Managing Not-for-Profit Tax Requirements

by Lee Ann Lambdin

 

Not-for-profit hospital tax exemptions are under fire. Last week ModernHealthcare.com published an article on the Illinois 4th District Appellate Court ruling about a 2012 Illinois law that declares what hospitals have to do to achieve tax exemptions is unconstitutional. The law, when passed in 2012, was seen as a huge benefit for not-for-profit hospitals who now had clear standards of how to maintain their tax-exempt status. The case will go to the Illinois Supreme Court for the final ruling.

 

As cities and states look for additional tax revenues to run city and state budgets, not-for-profit hospitals are a big source of new revenue. Hospitals in Ohio, Pennsylvania, and New Jersey have also faced challenges.

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Jackpot! Why Winning the Lottery Won’t Change Our Data

by Jason Haley

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With the three big winners in last night’s lottery splitting such a large pot, the income-level demographic data for where they live will be effected. However, depending on the way you look at this effect, there will either be slight changes if any, or there will be a large change. The reason for this difference is that demographic datasets supply both mean and median household incomes.LottreryBalls_Clipped

The lottery winners provide us with a great example of why we run median household income rather than average household income. This is because using a mean generally works well for data with normal distributions while medians are generally used on data with skewed distributions. And as you can probably guess, income data is quite the skewed dataset. Since a mean is so heavily influenced by outliers, we use a median. The median value will provide the value in the middle of the data (when sorted in ascending order).

 

To illustrate this, let’s pretend that one of the lottery winner’s home ZIP code has 10,000 people. Let’s also pretend that, by some kind of freak chance, every one of these people has an income of exactly $50,000. That would mean that that ZIP code has an average and median household income of $50,000. But, the lottery winner has now changed that. With their income changing from $50,000 to somewhere around $500,000,000, the new mean household income would be $99,995 and the median income would remain $50,000.

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Physician Relations: YOU are the Market Expert

by Tony Camarata

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The relationship between physicians and provider facilities is impacting much of the changing landscape of healthcare. Physician Liaisons are the face, voice, and ears of this demanding effort. Tasked with building relationships that will drive growth and revenue, this position needs the support of directionally correct, objective data that can support and enhance their market  assessments. After all, as the Physician Liaison, you are the market expert.

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Stratasan’s SHSMD 2015 Recap: Python What?

The Stratasan team was thrilled to once again attend and participate in the annual Society for Healthcare Strategy & Market Development (SHSMD) conference.

The 2015 SHSMD conference was themed “Bridging Worlds for the Future of Healthcare” and focused on healthcare being more nimble and entrepreneurial but also based in storytelling. The general sessions were from entrepreneurs and storytellers and there were nine tracks for the concurrent sessions. Stratasan’s session was in the Analytics and Research track. All sessions related to the SHSMD document, Bridging Worlds, the Future of the Healthcare Strategist, essentially bringing that document to life with storytellers and presenters.

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2015 Esri Health & Human Services GIS Conference

Last week on the blog we discussed the 2015 Esri User Conference. This week we are going to break down the second of our summer conferences the Esri Health and Human Services Conference that took place in Atlanta, Georgia earlier this month. Although it’s much smaller in size, it provides us with just as much useful information on the use of GIS in both the Public and Private healthcare spheres!

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