The Right Data At The Right Time, For The Right Kind Of Care

Drew Schiller

I recently had an enlightening discussion with a senior executive at a three-million-patient health system. This health system has developed remote monitoring programs for patients with managed conditions such as hypertension and Type 2 diabetes. Surprisingly, their motivation for investing in preventative technology was not driven by reimbursement incentives, which many argue will be the stimulant of a value-based care shift. Instead, this health system was driven by a single, stark reality: Over the next three to five years, many physicians are retiring and even fewer are entering the workforce, while the number of patients is rising.

Addressing the imminent physician shortage will be a challenge for health systems that are already facing escalating regulatory pressures, an increasing number of patients in need of healthcare, and a growing elderly population being treated for one or more chronic conditions.

The only way to service an increasing patient population with a decreasing workforce is by implementing strategies that yield a magnitude of productivity. I can state confidently, as a technologist, that the only way to create ten times more output without ten times more human capital is with technology.

The burden of chronic disease

It’s important to understand and recognize the burden of chronic diseases on patients’ lives. These diseases impact their day-to-day or even minute-to-minute decision-making. They are expensive and cumbersome to treat for both patients and providers. Our systems are crippling under the financial implications associated with chronic diseases and the poor self-management of patients. Though financial models are not yet in place to cover the full spectrum of remote care, there are financial incentives, which health systems can help drive, that enable physicians to better manage, treat, and empower patients remotely.

Patient-generated health data is key to helping patients self-manage their condition, but the context around that data is essential. People who suffer from diabetes must learn how their dietary habits – when, what, and how much they eat – impact their a1c, blood sugar levels, weight, and insulin dosage. Similarly, this data provides physicians with insight into a patient’s lifestyle and health. Care teams can view sleep data, blood sugar data, fitness data, blood pressure data, and other values critical to better managing patients. Creating a dynamic in which patients receive their data back, contextualized, and in which physicians have an opportunity to treat patients holistically, creates a value-based system.

Patient-generated health data

Disease management programs are commonplace, but extant services are often comprised of regular in-person visits, weekly or monthly phone calls, and manually reported patient data. Challenges to this time- and resource-intensive, hands-on model are introduced within rural populations, where a patient’s medical institution may be two or more hours away, making routine face-to-face visits cumbersome and unrealistic. Also, when a patient is pre-chronic, full reimbursement is not available for the followup visits needed to help prevent the complete onset of a condition.

Technology solutions that produce and integrate patient-generated health data (PGHD) can be leveraged to address many of the challenges faced by patients and physicians today.

Brockton Hospital, part of the Signature Health System in Massachusetts, in partnership with iGetBetter, has started to leverage PGHD to reduce readmissions for patients with heart failure and COPD. These efforts have led to remarkably improved patient care and outcomes as well as a substantial cost savings.

A 2014 pilot involving 31 heart-failure patients aimed to reduce readmissions by utilizing connected blood pressure monitors and weight scales. Data from the devices fed directly into iGetBetter’s care management portal. Without this intervention strategy leveraging PGHD, Brockton typically sees a 28% readmission rate; however, in this study, no patients were readmitted, leading to an immediate savings of $216,000. Programs like this demonstrate the immediate value of PGHD and provide a useful incentive for helping clinicians and IT staff understand how to effectively capture and utilize patient data generated outside of the clinical setting.

Another example is the Validic and SAP partnership, in which patient-generated health data from more than 400 personal and in-home medical devices is pulled into the HANA Cloud Platform. Together, this joining of platforms enables data to be turned into actionable insights, allowing patients to improve their health and quality of life.

Engaging with patients in preventive care measures, whether through mobile or other means, and obtaining access to real-time status data is essential to improving clinical outcomes and controlling costs amidst the impending physician shortage. By capturing and integrating reliable PGHD with other EHR data to guide clinical interventions and care decisions, health systems will have an advantage that will pay off in care quality and financial returns.

To learn more about turning real-time data into actionable insights, visit SAP Booth #543 at #HIMSS17, February 19-23 and join the conversation with Drew Schiller at 2pm (ET) on Wednesday, February 22.

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Drew Schiller

About Drew Schiller

Drew Schiller co-founded and serves as the Chief Executive Officer of Validic, the leading digital health platform for connecting patient-generated data from apps, wearables, and in-home medical devices to the healthcare system. At Validic, Drew leads the corporate strategy, drives key day-to-day initiatives, and works closely with senior executives at partner organizations to stay ahead of the innovation curve.

Data Analysts And Scientists More Important Than Ever For The Enterprise

Daniel Newman

The business world is now firmly in the age of data. Not that data wasn’t relevant before; it was just nowhere close to the speed and volume that’s available to us today. Businesses are buckling under the deluge of petabytes, exabytes, and zettabytes. Within these bytes lie valuable information on customer behavior, key business insights, and revenue generation. However, all that data is practically useless for businesses without the ability to identify the right data. Plus, if they don’t have the talent and resources to capture the right data, organize it, dissect it, draw actionable insights from it and, finally, deliver those insights in a meaningful way, their data initiatives will fail.

Rise of the CDO

Companies of all sizes can easily find themselves drowning in data generated from websites, landing pages, social streams, emails, text messages, and many other sources. Additionally, there is data in their own repositories. With so much data at their disposal, companies are under mounting pressure to utilize it to generate insights. These insights are critical because they can (and should) drive the overall business strategy and help companies make better business decisions. To leverage the power of data analytics, businesses need more “top-management muscle” specialized in the field of data science. This specialized field has lead to the creation of roles like Chief Data Officer (CDO).

In addition, with more companies undertaking digital transformations, there’s greater impetus for the C-suite to make data-driven decisions. The CDO helps make data-driven decisions and also develops a digital business strategy around those decisions. As data grows at an unstoppable rate, becoming an inseparable part of key business functions, we will see the CDO act as a bridge between other C-suite execs.

Data skills an emerging business necessity

So far, only large enterprises with bigger data mining and management needs maintain in-house solutions. These in-house teams and technologies handle the growing sets of diverse and dispersed data. Others work with third-party service providers to develop and execute their big data strategies.

As the amount of data grows, the need to mine it for insights becomes a key business requirement. For both large and small businesses, data-centric roles will experience endless upward mobility. These roles include data anlysts and scientists. There is going to be a huge opportunity for critical thinkers to turn their analytical skills into rapidly growing roles in the field of data science. In fact, data skills are now a prized qualification for titles like IT project managers and computer systems analysts.

Forbes cited the McKinsey Global Institute’s prediction that by 2018 there could be a massive shortage of data-skilled professionals. This indicates a disruption at the demand-supply level with the needs for data skills at an all-time high. With an increasing number of companies adopting big data strategies, salaries for data jobs are going through the roof. This is turning the position into a highly coveted one.

According to Harvard Professor Gary King, “There is a big data revolution. The big data revolution is that now we can do something with the data.” The big problem is that most enterprises don’t know what to do with data. Data professionals are helping businesses figure that out. So if you’re casting about for where to apply your skills and want to take advantage of one of the best career paths in the job market today, focus on data science.

I’m compensated by University of Phoenix for this blog. As always, all thoughts and opinions are my own.

For more insight on our increasingly connected future, see The $19 Trillion Question: Are You Undervaluing The Internet Of Things?

The post Data Analysts and Scientists More Important Than Ever For the Enterprise appeared first on Millennial CEO.

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Daniel Newman

About Daniel Newman

Daniel Newman serves as the Co-Founder and CEO of EC3, a quickly growing hosted IT and Communication service provider. Prior to this role Daniel has held several prominent leadership roles including serving as CEO of United Visual. Parent company to United Visual Systems, United Visual Productions, and United GlobalComm; a family of companies focused on Visual Communications and Audio Visual Technologies.
Daniel is also widely published and active in the Social Media Community. He is the Author of Amazon Best Selling Business Book “The Millennial CEO.” Daniel also Co-Founded the Global online Community 12 Most and was recognized by the Huffington Post as one of the 100 Business and Leadership Accounts to Follow on Twitter.
Newman is an Adjunct Professor of Management at North Central College. He attained his undergraduate degree in Marketing at Northern Illinois University and an Executive MBA from North Central College in Naperville, IL. Newman currently resides in Aurora, Illinois with his wife (Lisa) and his two daughters (Hailey 9, Avery 5).
A Chicago native all of his life, Newman is an avid golfer, a fitness fan, and a classically trained pianist

When Good Is Good Enough: Guiding Business Users On BI Practices

Ina Felsheim

Image_part2-300x200In Part One of this blog series, I talked about changing your IT culture to better support self-service BI and data discovery. Absolutely essential. However, your work is not done!

Self-service BI and data discovery will drive the number of users using the BI solutions to rapidly expand. Yet all of these more casual users will not be well versed in BI and visualization best practices.

When your user base rapidly expands to more casual users, you need to help educate them on what is important. For example, one IT manager told me that his casual BI users were making visualizations with very difficult-to-read charts and customizing color palettes to incredible degrees.

I had a similar experience when I was a technical writer. One of our lead writers was so concerned with readability of every sentence that he was going through the 300+ page manuals (yes, they were printed then) and manually adjusting all of the line breaks and page breaks. (!) Yes, readability was incrementally improved. But now any number of changes–technical capabilities, edits, inserting larger graphics—required re-adjusting all of those manual “optimizations.” The time it took just to do the additional optimization was incredible, much less the maintenance of these optimizations! Meanwhile, the technical writing team was falling behind on new deliverables.

The same scenario applies to your new casual BI users. This new group needs guidance to help them focus on the highest value practices:

  • Customization of color and appearance of visualizations: When is this customization necessary for a management deliverable, versus indulging an OCD tendency? I too have to stop myself from obsessing about the font, line spacing, and that a certain blue is just a bit different than another shade of blue. Yes, these options do matter. But help these casual users determine when that time is well spent.
  • Proper visualizations: When is a spinning 3D pie chart necessary to grab someone’s attention? BI professionals would firmly say “NEVER!” But these casual users do not have a lot of depth on BI best practices. Give them a few simple guidelines as to when “flash” needs to subsume understanding. Consider offering a monthly one-hour Lunch and Learn that shows them how to create impactful, polished visuals. Understanding if their visualizations are going to be viewed casually on the way to a meeting, or dissected at a laptop, also helps determine how much time to spend optimizing a visualization. No, you can’t just mandate that they all read Tufte.
  • Predictive: Provide advanced analytics capabilities like forecasting and regression directly in their casual BI tools. Using these capabilities will really help them wow their audience with substance instead of flash.
  • Feature requests: Make sure you understand the motivation and business value behind some of the casual users’ requests. These casual users are less likely to understand the implications of supporting specific requests across an enterprise, so make sure you are collaborating on use cases and priorities for substantive requests.

By working with your casual BI users on the above points, you will be able to collectively understand when the absolute exact request is critical (and supports good visualization practices), and when it is an “optimization” that may impact productivity. In many cases, “good” is good enough for the fast turnaround of data discovery.

Next week, I’ll wrap this series up with hints on getting your casual users to embrace the “we” not “me” mentality.

Read Part One of this series: Changing The IT Culture For Self-Service BI Success.

Follow me on Twitter: @InaSAP

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Human Skills for the Digital Future

Dan Wellers and Kai Goerlich

Technology Evolves.
So Must We.


Technology replacing human effort is as old as the first stone axe, and so is the disruption it creates.
Thanks to deep learning and other advances in AI, machine learning is catching up to the human mind faster than expected.
How do we maintain our value in a world in which AI can perform many high-value tasks?


Uniquely Human Abilities

AI is excellent at automating routine knowledge work and generating new insights from existing data — but humans know what they don’t know.

We’re driven to explore, try new and risky things, and make a difference.
 
 
 
We deduce the existence of information we don’t yet know about.
 
 
 
We imagine radical new business models, products, and opportunities.
 
 
 
We have creativity, imagination, humor, ethics, persistence, and critical thinking.


There’s Nothing Soft About “Soft Skills”

To stay ahead of AI in an increasingly automated world, we need to start cultivating our most human abilities on a societal level. There’s nothing soft about these skills, and we can’t afford to leave them to chance.

We must revamp how and what we teach to nurture the critical skills of passion, curiosity, imagination, creativity, critical thinking, and persistence. In the era of AI, no one will be able to thrive without these abilities, and most people will need help acquiring and improving them.

Anything artificial intelligence does has to fit into a human-centered value system that takes our unique abilities into account. While we help AI get more powerful, we need to get better at being human.


Download the executive brief Human Skills for the Digital Future.


Read the full article The Human Factor in an AI Future.


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Dan Wellers

About Dan Wellers

Dan Wellers is founder and leader of Digital Futures at SAP, a strategic insights and thought leadership discipline that explores how digital technologies drive exponential change in business and society.

Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Chief Futurist at SAP Innovation Center network His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation.

Share your thoughts with Kai on Twitter @KaiGoe.heif Futu

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Finance And HR: Friends Or Foes? Shifting To A Collaborative Mindset

Richard McLean

Part 1 in the 3-part “Finance and HR Collaboration” series

In my last blog, I challenged you to think of collaboration as the next killer app, citing a recent study by Oxford Economics sponsored by SAP. The study clearly explains how corporate performance improves when finance actively engages in collaboration with other business functions.

As a case in point, consider finance and HR. Both are being called on to work more collaboratively with each other – and the broader business – to help achieve a shared vision for the company. In most organizations, both have undergone a transformation to extend beyond operational tasks and adopt a more strategic focus, opening the door to more collaboration. As such, both have assumed three very important roles in the company – business partner, change agent, and steward. In this post, I’ll illustrate how collaboration can enable HR and finance to be more effective business partners.

Making the transition to focus on broader business objectives

My colleague Renata Janini Dohmen, senior vice president of HR for SAP Asia Pacific Japan, credits a changing mindset for both finance and HR as key to enabling the transition away from our traditional roles to be more collaborative. She says, “For a long time, people in HR and finance were seen as opponents. HR was focused on employees and how to motivate, encourage, and cheer on the workforce. Finance looked at the numbers and was a lot more cautious and possibly more skeptical in terms of making an investment. Today, both areas have made the transition to take on a more holistic perspective. We are pursuing strategies and approaching decisions based on what delivers the best return on investment for the company’s assets, whether those assets are monetary or non-monetary. This mindset shift plays a key role in how finance and HR execute the strategic imperatives of the company,” she notes.

Viewing joint decisions from a completely different lens

I agree with Renata. This mindset change has certainly impacted the way I make decisions. If I’m just focused on controlling costs and assessing expenditures, I’ll evaluate programs and ideas quite differently than if I’m thinking about the big picture.

For example, there’s an HR manager in our organization who runs Compensation and Benefits. She approaches me regularly with great ideas. But those ideas cost money. In the past, I was probably more inclined to look at those conversations from a tactical perspective. It was easy for me to simply say, “No, we can’t afford it.”

Now I look at her ideas from a more strategic perspective. I think, “What do we want our culture to be in the years ahead? Are the benefits packages she is proposing perhaps the right ones to get us there? Are they family friendly? Are they relevant for people in today’s world? Will they make us an employer of choice?” I quite enjoy the rich conversations we have about the impact of compensation and benefits design on the culture we want to create. Now, I see our relationship as much more collaborative and jointly invested in attracting and retaining the best people who will ultimately deliver on the company strategy. It’s a completely different lens.

Defining how finance and HR align to the company strategy

Renata and I believe that greater collaboration between finance and HR is a critical success factor. How can your organization achieve this shift? “Once the organization has clearly defined what role finance and HR must play and how they fundamentally align to the company strategy, then it’s more natural to structure them in a way to support such transformation,” Renata explains.

Technology plays an important role in our ability to successfully collaborate. Looking back, finance and HR were heavily focused on our own operational areas because everything we did tended to consume more time – just keeping the lights on and taking care of our basic responsibilities. Now, through a more efficient operating model with shared services, standard operating procedures, and automation, we can both be more business-focused and integrated. As a result, we’re able to collaborate in more meaningful ways to have a positive impact on business outcomes.

In our next blog, we’ll look at how finance and HR can work together as agents of change.

For a deeper dive, download the Oxford Economics study sponsored by SAP.

Follow SAP Finance online: @SAPFinance (Twitter)LinkedIn | FacebookYouTube

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Richard McLean

About Richard McLean

Richard McLean, regional CFO for SAP Asia Pacific Japan, oversees all key finance and administrative functions for field and regional headquarters, supporting more than 16,000 employees. He has more than 20 years of experience in senior finance roles with leading global companies across a range of industries, including financial services, investment banking, automotive, and IT. He joined SAP in 2008.