Sections

Leveraging The Internet Of Healthcare Things (IoHT)

Bo Dagnall

Imagine having a stroke while on vacation — not while you are out sightseeing, but in a hospital, because technology helped to get you there before the stroke even occurred. Would being in a hospital under the supervision of care providers increase your chances of survival? I believe so, because the amount of time from the onset of a stroke to the administration of thrombolytics is critical1, and faster treatment may limit the extent of brain injury and improve the outcome after a stroke.2

So how can technology help make this a reality? Consider the hypothetical scenario shown below. Sue is a 55-year old ex-smoker with high blood pressure and a family history of cerebrovascular problems.

A Stroke With and Without IoHT Technologies (source: Hewlett Packard Enterprise)

A Stroke With and Without IoHT Technologies (Source: Hewlett Packard Enterprise)

Technology makes a difference in healthcare

Without the Internet of Things (IoT) and mobile technologies, there is nothing in place to determine a baseline dataset for Sue when she awakes. Technology is not in place to detect her potential TIA (an indicator and potential predictor of stroke), notify her GP, identify her location, or collect biometrics while under supervision. The time lost as a result is detrimental to Sue’s chances of full recovery from a stroke.

On the other hand, Sue’s condition is vastly improved when technology is involved. Sue’s wearable devices establish her morning biometrics baseline, her smartwatch detects her slurred speech and notifies her GP of potential TIA or stroke indicators, and her GPS-enabled devices allow emergency services to quickly locate and transfer her to the nearest care facility. Once she is admitted, in-hospital sensors collect her biometrics and care providers are immediately notified when she actually has the stroke. All of these things matter because research shows that intravenous administration of thrombolytics is effective only if administered within three hours from the onset of symptoms1.

Real-time health systems (RTHS)

The intelligent convergence and integration of sensor-based data collected via IoT devices and mobile technologies is collectively referred to as the Internet of Healthcare Things (IoHT).

This data can be combined with existing electronic health record (EHR) systems3, to create something called a Real-Time Health System (RTHS)4.

One of the things a modern EHR does not necessarily address is patient-based situational awareness. A modern EHR collects and uses clinical data about a patient’s health and the care provided to that patient in a care facility. An episode of care typically starts by documenting the chief complaint and any additional relevant historical information previously captured or provided by the patient; often missing critical information about what else happened when the medical event took place. This is where the RTHS comes in.

What does an RHTS do?

An RTHS collects IoHT data, analyzes it to identify clinically relevant indicators and trends, integrates findings and alerts into EHR systems, and leverages native capabilities of mobile devices to provide an immediate feedback loop to both providers and patients.

The business benefit is better situational awareness of the patient’s health condition during a medical event occurring in the gaps between EHR-recorded episodes of care. To do this, the RTHS is not inventing something new, but instead leveraging and converging emerging technologies that currently are not effectively connected, including IoT and sensor-based technologies, mobile devices, Big Data analytics, and EHR systems.

Learn more about emerging technology in the Internet of Healthcare Things (IoHT)

For an in-depth look at the Internet of Things and other factors driving digital disruption in healthcare and other sectors, download the SAP eBook, Digital Disruption: How Digital Technology is Transforming Our World.

To learn more about business innovation in the digital era, download the SAP eBook, The Digital Economy: Reinventing the Business World.

References

1.  Madden K, “Optimal timing of thrombolytic therapy in acute aschaemic stroke”, CNS Drugs. 2002;16(4):213-8

2. Adams, H et al., “Guidelines for Thrombolytic Therapy for Acute Stroke: A Supplement to the Guidelines for the Management of Patients With Acute Ischemic Stroke. A Statement for Healthcare Professionals From a Special Writing Group of the Stroke Council, American Heart Association”, Stroke. 1994;25:1901-1914

3. http://dashboard.healthit.gov/quickstats/quickstats.php, accessed September 2015

4. Hewlett Packard Enterprise (HPE)

Comments

Bo Dagnall

About Bo Dagnall

Bo Dagnall is the account chief technologist for Hewlett-Packard Enterprise (HPE) focused on the Department of Veterans Affairs (VA) within the Military Health and Veterans Affairs (MHVA) account. In this role, Bo oversees and delivers technology strategy for HPE’s VA opportunities. At any point in time, HPE has 15-20 active projects with the VA almost exclusively around applications support and modernization.

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.

Comments

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

Comments

How Much Will Digital Cannibalization Eat into Your Business?

Fawn Fitter

Former Cisco CEO John Chambers predicts that 40% of companies will crumble when they fail to complete a successful digital transformation.

These legacy companies may be trying to keep up with insurgent companies that are introducing disruptive technologies, but they’re being held back by the ease of doing business the way they always have – or by how vehemently their customers object to change.

Most organizations today know that they have to embrace innovation. The question is whether they can put a digital business model in place without damaging their existing business so badly that they don’t survive the transition. We gathered a panel of experts to discuss the fine line between disruption and destruction.

SAP_Disruption_QA_images2400x1600_3

qa_qIn 2011, when Netflix hiked prices and tried to split its streaming and DVD-bymail services, it lost 3.25% of its customer base and 75% of its market capitalization.²︐³ What can we learn from that?

Scott Anthony: That debacle shows that sometimes you can get ahead of your customers. The key is to manage things at the pace of the market, not at your internal speed. You need to know what your customers are looking for and what they’re willing to tolerate. Sometimes companies forget what their customers want and care about, and they try to push things on them before they’re ready.

R. “Ray” Wang: You need to be able to split your traditional business and your growth business so that you can focus on big shifts instead of moving the needle 2%. Netflix was responding to its customers – by deciding not to define its brand too narrowly.

qa_qDoes disruption always involve cannibalizing your own business?

Wang: You can’t design new experiences in existing systems. But you have to make sure you manage the revenue stream on the way down in the old business model while managing the growth of the new one.

Merijn Helle: Traditional brick-and-mortar stores are putting a lot of capital into digital initiatives that aren’t paying enough back yet in the form of online sales, and they’re cannibalizing their profits so they can deliver a single authentic experience. Customers don’t see channels, they see brands; and they want to interact with brands seamlessly in real time, regardless of channel or format.

Lars Bastian: In manufacturing, new technologies aren’t about disrupting your business model as much as they are about expanding it. Think about predictive maintenance, the ability to warn customers when the product they’ve purchased will need service. You’re not going to lose customers by introducing new processes. You have to add these digitized services to remain competitive.

qa_qIs cannibalizing your own business better or worse than losing market share to a more innovative competitor?

Michael Liebhold: You have to create that digital business and mandate it to grow. If you cannibalize the existing business, that’s just the price you have to pay.

Wang: Companies that cannibalize their own businesses are the ones that survive. If you don’t do it, someone else will. What we’re really talking about is “Why do you exist? Why does anyone want to buy from you?”

Anthony: I’m not sure that’s the right question. The fundamental question is what you’re using disruption to do. How do you use it to strengthen what you’re doing today, and what new things does it enable? I think you can get so consumed with all the changes that reconfigure what you’re doing today that you do only that. And if you do only that, your business becomes smaller, less significant, and less interesting.

qa_qSo how should companies think about smart disruption?

Anthony: Leaders have to reconfigure today and imagine tomorrow at the same time. It’s not either/or. Every disruptive threat has an equal, if not greater, opportunity. When disruption strikes, it’s a mistake only to feel the threat to your legacy business. It’s an opportunity to expand into a different marke.

SAP_Disruption_QA_images2400x1600_4Liebhold: It starts at the top. You can’t ask a CEO for an eight-figure budget to upgrade a cloud analytics system if the C-suite doesn’t understand the power of integrating data from across all the legacy systems. So the first task is to educate the senior team so it can approve the budgets.

Scott Underwood: Some of the most interesting questions are internal organizational questions, keeping people from feeling that their livelihoods are in danger or introducing ways to keep them engaged.

Leon Segal: Absolutely. If you want to enter a new market or introduce a new product, there’s a whole chain of stakeholders – including your own employees and the distribution chain. Their experiences are also new. Once you start looking for things that affect their experience, you can’t help doing it. You walk around the office and say, “That doesn’t look right, they don’t look happy. Maybe we should change that around.”

Fawn Fitter is a freelance writer specializing in business and technology. 

To learn more about how to disrupt your business without destroying it, read the in-depth report Digital Disruption: When to Cook the Golden Goose.

Download the PDF (1.2MB)

Comments

Tags:

Digitization Of The Supplier Network: Grinding Away Competitive Edges

Kai Goerlich

Competitors with advanced digital capabilities are invading markets with new disruptive business models – and a range of new challenges across all industries. Prices are falling and changing quickly. Margins are thinning. Resources are increasingly volatile while the balance between supply and fast-changing customer demands are next-to-impossible to match. All the while, 30% of industry leaders are at risk of being disrupted by 2018 by a digitally enabled competitor, according to IDC.

Under these conditions, companies are beginning to ask whether their supply networks should be open to the digital world. Will they accept the risk of being copied and losing competitive advantage? Or will they secure their best practices in supply chain and logistics?

Using an analytical framework of 15 ecosystem factors, we compared traditional companies against digital newcomers. Our ad hoc study revealed that digitization influences business systems on several levels, but standard best practices are not one of them.

Network resiliency

In most supply chains, the hierarchical model is still living and prospering. Digital newcomers usually create a web-like structure across the entire business. While the traditional approach may guarantee price stability and quality, this web structure allows a much faster ramp-up and exchange of partners – making it more resilient to change.

Dependencies

In traditional networks, the business is likely evolving around mutual advantages. Very often, there are tight, symbiotic business connections with limited sets of partners. New digital networks are operating with an increased focus on leveraging opportunities. Plus, partners are encouraged to participate, widen, and promote the network – even if they do not directly contribute to revenue or profit margins.

Brand management

Web structures are especially attractive to companies that find it difficult to access traditional value chains. In general, classic supply chains cannot keep up with the speed of change nor deal with new and unexpected supply-chain partners in future digital networks. And as “new and unexpected” translate into “interesting and exciting” for consumers, companies may encounter significant branding issues.

Path dependency

Digital newcomers usually have a lower path dependency, such as mode of action. Unfortunately, this can be attributed to perspectives and business plans that are not based on decades of experience in one business. Of course, knowing a business for many years has its advantages as well – but only if knowledge is successfully transferred into the digital world.

A new way to operate

As pointed out in an earlier blog, digitization is proven to be a shortcut for some traditional processes and functions. In turn, embedding best practices into supply-chain and logistics processes and avoiding any transfer of knowledge as long as possible may appear to be an obvious solution. However, according to our findings, it might not be the best path to dealing with changes related to digital transformation.

While digitization may indeed wash away former competitive advantages, it also empowers companies to use their vast knowledge and connections to get on par with digital newcomers – on a new and different level. For example, most traditional best practices are now outsourced and can be easily applied as a service. But more important, instead of waiting to be disrupted by digitization, businesses can become as flexible as possible to enhance the customer experience and build loyalty.

For more on disruption without damage, see 4 Ways to Digitally Disrupt Your Business Without Destroying It.

Comments

Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Idea Director of Thought Leadership at SAP. His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation.