Data

How matters

How matters more than most leaders thought.

Corporate America is changing. Business leaders are realizing that they need to think beyond the bottom line.

Some investors are pushing back but what they might not realize yet is companies can do even better when they consider the social and environmental impact in their policies and business practices.

Haven

Haven Healthcare is the new healthcare company formed by Chase, Amazon and Berkshire Hathaway that is led by Atul Gwande MD. Dr. Gwande has been sharing his experiences, thoughts and insights about the cost and quality of healthcare in his books and articles for more than a decade. 

Since formation, the company has been working to understand the needs of their patient population so that they can “create new solutions and work to change systems, technologies, contracts, policy, and whatever else is in the way of better health care.”

The “whatever else” in this case likely refers to the way American Corporations have focused solely on the bottom line. It should come as no surprise to any of us that Jamie Dimon, CEO of Chase is one of the leaders championing this change. 

He is likely getting some good data and management insights to support his position. Hopefully we’ll learn more about that when the Forbes article is published next month. Until then, you might want to check out this book.

Dying for a Paycheck

We’re likely going to hear about some of the work published by Stanford Professor, Jeffrey Pfeffer. In Dying for a Paycheck, he talks about the management practices that “literally sicken and sometimes kill employees” which as you might imagine also negatively impacts productivity and the bottom line. 

Professor Pfeffer hypothesizes that prescription drug data is a better indicator of health and wellbeing than solicited input from employees because it is unbiased. Researchers in Denmark are reportedly using prescription drug data to draw correlations between prescription drug use and the effects of entrepreneurship, organizational change, compensation and more.

My guess is that Haven is using their medical data to investigate the policies and business practices of the operating companies and drawing similar types of insights. It could be game changing for Americans and the healthcare industry.

Times change, we need to change as well. 
~ Nelson Mendela

Changing how

A lot of this might seem like common sense, but without data it is harder to convince people change is necessary.

I was a very early pioneer in the online learning space. Our solution helped clients enhance their operations while providing a path for a brighter future for their employees. How you ask?

Our training solution provided the much needed training to those responsible for the revenue cycle and financial management. Most had never received formal training on the systems or best practices which from a financial perspective is a recipe for disaster.

Staffing decisions are emotional but became so much easier with data about the time spent on course work, modules completed and assessment results. 

We enrolled everyone in their required training modules and gave them time on the job to complete the course work. Some just didn’t complete all of their modules and not surprisingly, they underperformed in those areas of their job. It was a clear indication that they had no interest in the work.

Rather than terminating their employment, it was our opportunity to start a conversation about the right career path for them. There are really only three career options: 

1/ Develop functional depth

2/ Transition to a cross functional role

3/ Retrain for something entirely new

Even though the organization had less than 100 people, we were able to offer all of these options within the organization and financially, we had some of the best years. 

Investments in fundamentals and people pay off in companies of all sizes.

Training investments help people perform better on the job and prepare for a brighter future. Many of the people who successful completed our courses have already transitioned into new jobs. They didn’t have to experience the stress of having their job eliminated.

Industry leaders need to making these types of investments to be profitable and accountable to all constituents going forward. If you’re coming from a strong viking and victim culture such as in law, finance and tech it might be harder for you to make the mental shift but it’s necessary now. 

Good Data

Only 30% of the analytic results in healthcare organizations are accurate. 

It was one of the facts that we learned on the Health Catalyst webinar this morning and based on my own experience seems about right.

Part of the issue is the old adage “Garbage In/Garbage Out” and the other part is lack of consistency in defining and pulling the data elements.

The new Health Catalyst population stratification module standardizing the datasets makes it easy enough for business people and maybe even some clinical people to pull their own data. It’s a huge plus especially for healthcare organizations conducting research.

Garbage in/Garbage out needs to be addressed with better user interface design, refined data capture requirements and compliance with medical record documentation. There is just no way around it.

Everyone needs quality data to make sounds decisions whether clinical or business. When the data is bad, we end up wasting resources solving problems that don’t exist and overlooking the real issues.

Improving Quality

I’m reading Stephen Pinney‘s book called How Hockey can Save the Healthcare System and highly recommend it. Why?

The section on Quality addresses one of the most important lessons for Administrators….don’t always trust your reports. Dr. Pinney highlights the problem in his example with the Pre-Operative Surgical Checklist.

According to the Administrator, the checklist was preformed consistently for two years without issue. The problem was that it wasn’t performed correctly. Significant errors resulted and were unreported.

One of the most important lessons that I have learned from working closely with Medical Directors is that they know the business. When they say something is wrong, something is likely wrong. Administrators need to dig into the details to get to the bottom of the issue rather than dismissing them.

Interestingly, Dr. Pinney and I have uncovered the same issue. Data is often missing and when data is missing – the reports are wrong. Administrators need to understand why the data is missing and take the steps needed to ensure it is consistently captured. It’s a matter of life and limb – literally.

According to Dr. Pinney, these types of quality and process improvements are key to systematizing medicine and achieving the third aim. However, it all starts with accurate data.