Healthcare IT startups have become too willing to accept pilot status

| May 25, 2016

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Today I typed the phrase “famous pilots” into Google and the top response was “Amelia Earhart.” I thought that particularly appropriate since I had planned to write this particular blog post on the plague of healthcare IT pilots that has become a black cloud over the current entrepreneurial world...

Spotlight

CMS Imaging Inc

CMS Imaging, Inc. is the premier healthcare solutions provider specializing in the sales and service of diagnostic medical imaging equipment. Founded in 1987 in Charleston, SC as an independent service organization, CMS Imaging has expanded its product line to include MRI, CT, Digital X-Ray, and Advanced Fluoroscopic systems. Software solutions including Avreo, Authpal by Availity, PACS Harmony, MedCurrent's Clinical Decision Support (CDS), and Bayer's Radimetrics are also available to enable customers to display, manage, and store imaging data.

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The Drum Beat of the Mind

Article | December 4, 2020

Creative thinking explores the wonder world of creation. Creative thinking edit challenges and insert solutions. Thinking is not narrow minded; it is a brood minded side effect. Are you standing still , holding the sign detour? Detour signal and message “ you cannot go pass here.” This message is like concrete to narrow minded thinking.Brood minded thinking says it is another way, I will find it , dismissing blind spots.. Napeleon Hill stressed the importance of ones’ thoughts in his Book Think and Grown Rich. Yes, the drum beat rymthe of the mind is thinking and manifesting an outcome. Napeleon Hill message is to sweep yourself to success, lean on the Bibical scripture” As you think so shall you be” As you think so shall you be amplfies the constant and significant need for growth and expanding. An interesting simple guarantee; a burning desire and an idea survives on the basis of thought, of will, of consistency and of determination. Contary to desire is force of giving up. The giving up force is similar to a ballon that’s blown up , being popped or untied , spilling and releasing out the air that blew it up. While the barriers of thought can spout limits; heels of success potential are unlimited. Thinking holds and embrace hands with the imagination, knowledge, visions,dreams, goals, wisdom,implementing a plan and an understanding. Consideration must ahere to a pattern of habit conditioning to implement and discover the enlightment engraved in devolping and being mindful of ones’thoughts. Goals- action based ( preferably written instuctions for best results) providing guidance for a desired outcome. The necleus for goals achievement is : confidence, commitment, clarity, creavity and consistency. Determination, desire and discipline are unstoppable buddies who see each other everyday.This is goal code. Imagination- imagination confess it is a continious activity seeking expression and is a storage center with creative wonders and unlimited possibilities. Dream- Dreams are a reflection of a desire begging to be recognize and fillful its purpose. Knowledge- Learning acquired through process of exposure,training ,education , reading, research or experiment Vision: reflection or an image created by words. Vision boards are useful and should be accompanied by words to assist in creating a vision. For instance, hearding the words pinkchair will flash an image of a pink chair to your thoughts of a pink chair. Plan- Plan is a diligent fan of goals. Plan provides instructional and clarity on a proposal; action to be taken and potential of its being productive, profitable and feasible. A plan is mission related, written and allow simple,easy and effective and steps for implementing What are the influencers and principles that are weaved into creavtive thinking? Thinking habits- how you see,explain and intrepret Environment- exposure ,travel, and surrounding Adversity- solution and problem solving based Altitude- level of understanding Knowledge- Learning structure Experience- practical knowledge gained Personal Development- promotion of ones’ learning and a concentrated effort to be informed Do not clog the drain. Thoughts are useful things. Thoughts can nudge you to be creative. Remember information is abundant and thoughts have power to create. “You can be what you want to be, do what you want to do, have what you want to have” Rev. Ike. This idea is associate with creative thinking. Creative thinking is an affirmation for success. It is also stated “ change your thoughts, change your life” Wayne Dyer Think, speak and affirm is a side effect lingering in creative thinking.Creative thinking is the drum beat of the mind. As it is said, Give the drummer some!”So I will so I can” is a mind with thoughts and thinking that erase impossibe. Think About This- Be creative Wear shoes that fit Do not hurt your feet With sores of regret Wounds of doubt And blisters of neglect

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Innovation Insight for Healthcare Provider Digital Twins

Article | September 4, 2020

A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is a model that mirrors a unique physical object, process, organization, person or other abstraction. For healthcare providers, digital twins provide an abstraction of the healthcare ecosystem’s component characteristics and behaviors. These are used in combination with other real-time health system (RTHS) capabilities to provide real-time monitoring, process simulation for efficiency improvements, population health and long-term, cross-functional statistical analyses. Digital twins have the potential to transform and accelerate decision making, reduce clinical risk, improve operational efficiencies and lower cost of care, resulting in better competitive advantage for HDOs. However, digital twins will only be as valuable as the quality of the data utilized to create them. The digital twin of a real-world entity is a method to create relevance for descriptive data about its modeled entity. How that digital twin is built and used can lead to better-informed care pathways and organizational decisions, but it can also lead clinicians and executives down a path of frustration if they get the source data wrong. The underlying systems that gather and process data are key to the success for digital twin creation. Get those systems right and digital twins can accelerate care delivery and operational efficiencies. Twins in Healthcare Delivery The fact is that HDOs have been using digital twins for years. Although rudimentary in function, digital representations of patients, workflow processes and hospital operations have already been applied by caregivers and administrators across the HDO. For example, a physician uses a digital medical record to develop a treatment plan for a patient. The information in the medical record (a rudimentary digital twin) along with the physician’s experience, training and education combine to provide a diagnostic or treatment plan. Any gaps in information must be compensated through additional data gathering, trial-and-error treatments, intuitive leaps informed through experience or simply guessing. The CIO’s task now is to remove as many of those gaps as possible using available technology to give the physician the greatest opportunity to return their patients to wellness in the most efficient possible manner. Today, one way to close those gaps is to create the technology-based mechanisms to collect accurate data for the various decision contexts within the HDO. These contexts are numerous and include decisioning perspectives for every functional unit within the enterprise. The more accurate the data collected on a specific topic, the higher the value of the downstream digital twin to each decision maker (see Figure 1). Figure 1: Digital Twins Are Only as Good as Their Data Source HDO CIOs and other leaders that base decisions on poor-quality digital twins increase organizational risk and potential patient care risk. Alternatively, high-quality digital twins will accelerate digital business and patient care effectiveness by providing decision makers the best information in the correct context, in the right moment and at the right place — hallmarks of the RTHS. Benefits and Uses Digital Twin Types in Healthcare Delivery Current practices for digital twins take two basic forms: discrete digital twins and composite digital twins. Discrete digital twins are the type that most people think about when approaching the topic. These digital twins are one-dimensional, created from a single set or source of data. An MRI study of a lung, for example, is used to create a digital representation of a patient that can be used by trained analytics processes to detect the subtle image variations that indicate a cancerous tumor. The model of the patient’s lung is a discrete digital twin. There are numerous other examples of discrete digital twins across healthcare delivery, each example tied to data collection technologies for specific clinical diagnostic purposes. Some of these data sources include vitals monitors, imaging technologies for specific conditions, sensors for electroencephalography (EEG) and electrocardiogram (ECG). All these technologies deliver discrete data describing one (or very few) aspects of a patient’s condition. Situational awareness is at the heart of HDO digital twins. They are the culmination of information gathered from IoT and other sources to create an informed, accurate digital model of the real-world healthcare organization. Situational awareness is the engine behind various “hospital of the future,” “digital hospital” and “smart patient room” initiatives. It is at the core of the RTHS. Digital twins, when applied through the RTHS, positively impact these organizational areas (with associated technology examples — the technologies all use one or more types of digital twins to fulfill their capability): Care delivery: Clinical communication and collaboration Next-generation nurse call Alarms and notifications Crisis/emergency management Patient engagement: Experiential wayfinding Integrated patient room Risks Digital Twin Usability Digital twin risk is tied directly to usability. Digital twin usability is another way of looking at the issue created by poor data quality or low data point counts used to create the twins. Decision making is a process that is reliant on inputs from relevant information sources combined with education, experience, risk assessment, defined requirements, criteria and opportunities to reach a plausible conclusion. There is a boundary or threshold that must be reached for each of these inputs before a person or system can derive a decision. When digital twins are used for one or many of these sources, the ability to cross these decision thresholds to create reasonable and actionable conclusions is tied to the accuracy of the twins (see Figure 2). Figure 2: Digital Twin Usability Thresholds For example, the amount of information about a patient room required to decide if the space is too hot or cold is low (due to a single temperature reading from a wall-mounted thermostat). In addition, the accuracy or quality of that data can be low (that is, a few degrees off) and still be effective for deciding to raise or lower the room temperature. To decide if the chiller on the roof of that patient wing needs to be replaced, the decision maker needs much more information. That data may represent all thermostat readings in the wing over a long period of time with some level of verification on temperature accuracy. The data may also include energy load information over the same period consumed by the associated chiller. If viewed in terms of a digital twin, the complexity level and accuracy level of the source data must pass an accuracy threshold that allows users to form accurate decisions. There are multiple thresholds for each digital twin — based on twin quality — whether that twin is a patient, a revenue cycle workflow or hospital wing. These thresholds create a limit of decision impact; the lower the twin quality the less important the available decision for the real-world entity the twin represents. Trusting Digital Twins for HDOs The concept of a limit of detail required to make certain decisions raises certain questions. First, “how does a decision maker know they have enough detail in their digital twin to take action based on what the model is describing about its real-world counterpart?” The answer lies in measurement and monitoring of specific aspects of a digital twin, whether it be a discrete twin, composite twin or organization twin. Users must understand the inputs required for decisions and where twins will provide one or more of the components of that input. They need to examine the required decision criteria in order to reach the appropriate level of expected outcome from the decision itself. These feed into the measurements that users will have to monitor for each twin. These criteria will be unique to each twin. Composite twins will have unique measurements that may be independent from the underlying discrete twin measurement. The monitoring of these key twin characteristics must be as current as the target twin’s data flow or update process. Digital twins that are updated once can have a single measurement to gauge its appropriateness for decisioning. A twin that is updated every second based on event stream data must be measured continuously. This trap is the same for all digital twins regardless of context. The difference is in the potential impact. A facilities decision that leads to cooler-than-desired temperatures in the hallways pales in comparison to a faulty clinical diagnosis that leads to unnecessary testing or negative patient outcomes. All it takes is a single instance of a digital twin used beyond its means with negative results for trust to disappear — erasing the significant investments in time and effort it took to create the twin. That is why it is imperative that twins be considered a technology product that requires constant process improvement. From the IoT edge where data is collected to the data ingestion and analytics processes that consume and mold the data to the digital twin creation routines, all must be under continuous pressure for improvement. Recommendations Include a Concise Digital Twin Vision Within the HDO Digital Transformation Strategy Digital twins are one of the foundational constructs supporting digital transformation efforts by HDO CIOs. They are digital representations of the real-world entities targeted by organizations that benefit from the advances and efficiencies technologies bring to healthcare delivery. Those technology advances and efficiencies will only be delivered successfully if the underlying data and associated digital twins have the appropriate level of precision to sustain the transformation initiatives. To ensure this attention to digital twin worthiness, it is imperative that HDO CIOs include a digital twin vision as part of their organization’s digital transformation strategy. Binding the two within the strategy will reinforce the important role digital twins play in achieving the desired outcomes with all participating stakeholders. Building new capabilities — APIs, artificial intelligence (AI) and other new technologies enable the connections and automation that the platform provides. Leveraging existing systems — Legacy systems that an HDO already owns can be adapted and connected to form part of its digital platform. Applying the platform to the industry — Digital platforms must support specific use cases, and those use cases will reflect the needs of patients, employees and other consumers. Create a Digital Twin Pilot Program Like other advanced technology ideas, a digital twin program is best started as a simple project that can act as a starting point for maturity over time. Begin this by selecting a simple model of a patient, a department or other entity tied to a specific desired business or clinical outcome. The goal is to understand the challenges your organization will face when implementing digital twins. The target for the digital twin should be discrete and easily managed. For example, a digital twin of a blood bank storage facility is a contained entity with a limited number of measurement points, such as temperature, humidity and door activity. The digital twin could be used to simulate the impact of door open time on temperature and humidity within the storage facility. The idea is to pick a project that allows your team to concentrate on data collection and twin creation processes rather than get tied up in specific details of the modeled object. Begin by analyzing the underlying source data required to compose the digital twin, with the understanding that the usability of the twins is directly correlated to its data’s quality. Understand the full data pathway from the IoT devices through to where that data is stored. Think through the data collection type needed for the twin, is discrete data or real-time data required? How much data is needed to form the twin accurately? How accurate is the data generated by the IoT devices? Create a simulation environment to exercise the digital twin through its paces against known operational variables. The twin’s value is tied to how the underlying data represents the response of the modeled entity against external input. Keep this simple to start with — concentrate on the IT mechanisms that create and execute the twin and the simulation environment. Monitor and measure the performance of the digital twin. Use the virtuous cycle to create a constant improvement process for the sample twin. Experience gained through this simple project will create many lessons learned and best practices to follow for complex digital twins that will follow.

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IMMERSIVE ENVIRONMENTS COULD BE THE NUDGE WE"RE ALL LOOKING FOR WHEN IT COMES TO FRAMING BEHAVIORAL FRAMEWORKS...

Article | December 21, 2020

Yes, empathy has become a fad. Connecting to another human is actually something cool kids do now. If a brand doesn’t have an impact model that includes a practical social issue, consumers tend to not take that brand seriously. In this case, empathy needs to be revisited beyond the trend itself for these strategies to have real, lasting impact. Practical strategies around compassion meanwhile have similarly become an intrinsic part of social impact organisations. They have become so commonplace that prosocial behaviour has strayed into a kind of tokenism. It is common for instance for consumers to donate their hard-earned money to companies who focus their energies on trying to alleviate real-world issues. The question then is whether this proxy for compassion isn’t in fact watering down human connections, as well as our positive impact on the issues business and organisations seek to solve with our help. Postmodern behavioral science If it is, then we must understand why and how to change that. This is where postmodern behavioral science provides a possible better alternative to social impact strategies. Postmodern behavioral science suggests that the current approach to understanding human behaviour lacks even a rudimentary understanding of empathy, defined in the area of social impact as a discursive strategy that allows us to feel what the group we are trying to help is feeling. Of course, compassion has very close ties with empathy. Empathy is an innate ability we all have, one that we can learn to develop and fine-tune over time. It is our emotional connection to another human, though one that lies beyond our own ego. It takes the perspective of the person who is struggling and seeks to understand their life, their struggle, and their worldview. It also resolves to value and validate their perspective and experience — something that donating money to a social impact cause does not. In its broader definition, empathy is a shared interpersonal experience which is implicated in many aspects of social cognition, notably prosocial behavior, morality, and the regulation of aggression. Empathy has a host of positive after-effects when applied as an interpersonal experience. If a social impact organisation is preoccupied with raising capital, then it is likely to disregard the practical worth of empathy for those who truly want to achieve its mission. Immersive empathy One way that behavioral science can contribute is to utilise tools that can help augment the experience of those in need for those needing to understand those needs. Both AR and VR can help people visualise and follow the stories of those who require compassion. These create virtual environments for partners, governments, and consumers to experience with the people they seek to help. But of course, much of human behaviour is geared toward seeking pleasant experiences and avoiding unnecessary pain. Our in-built hedonic valuation systems guide decisions towards and away from experiences according to our survival instincts. This is precisely why business owners who want to encourage empathy in their customers go the easy route, but should seek a more participatory frameworks to inspire and provide experiences for those on board with a social mission. Then there are issues like financial literacy in underserved populations, access to clean water, education for women and girls, and environmental conservation, to name a few of the problems that social impact companies are attempting to tackle. If a company is trying to tackle an issue such as access to clean water, then rather than start there, it should first ask exactly how this issue arose and developed. It should question the beliefs that underpin this chronic social inequality, those that inform policies, practices, cultural taboos, and beliefs about water and people’s access to it. To simply respond to an issue in its developed form is to leave it unfixed. We must be willing to reverse engineer the origins of that issue that got us to where we are. In other words, human behaviour is not the only component to consider in this. The main behavioral framework public servants should take with them is to develop a nudge unit solely based on the relationship between behavioural science and technology. This is mainly because technology is an inevitable part of how we now relate to one another. Immersive Compassion meanwhile should embrace tools like AR/VR that seek to create empathetic environments and valuable impact longevity. To fully embrace empathy as an organisation is to create relevant and rigorous responses that go as far as to alter the infrastructure of its target goals. Optimising social impact comes down to optimising human experience.

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Technology Trends that will Revolutionize the Medical Industry in 2021

Article | December 28, 2020

The recent COVID-19 pandemic in 2020 has changed the way the healthcare industry has been processing. It has transformed the healthcare sector digitally. Healthcare providers have changed services with the latest healthcare technology trends in digital and virtual platforms. Every healthcare provider is updating services by adopting digital advancements in their practices to increase their capacity to engage the maximum number of patients. Still more advancements and updates are needed to address many challenges in the industry such as cybersecurity, effective payment model, telehealth, patient experience, invoicing and payment processing, and big data. Last year, wearable devices in the healthcare industry were quite popular with the patients. These devices have helped patients be aware of various healthcare metrics. Due to the introduction of the 5G internet, the wearable devices market is expected to have huge scope in 2021. Healthcare technology trends, such as the use of a digital dashboard scheduler or chatbots as a digital assistant, help hospitals and other healthcare organizations to better track appointments, contacts, demography, and make changes more efficiently as these are practical measures for modifying and monitoring patient activities. Telemedicine, using video conferencing, digital monitoring, etc. have also been very helpful in containing the spread of the pandemic. It has made healthcare accessible for everyone, especially in rural areas. For remote patient care systems, telehealth and teleradiology reporting are very important technological upgrades. Healthcare technology trends of 2020, including patient portals, mobile health applications, remote care via telehealth, and wearable devices, played a major role in tackling the global pandemic situation. Artificial intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) also played a vital part in handling the situation. All the above-mentioned are COVID-19 fueled healthcare technology trends in 2020, which are expected to continue in coming years too. Here is a detailed look into the healthcare technology trends, which are expected to address the new challenges and revolutionize the healthcare industry in 2021. Technology Trends that will Revolutionize the Medical Industry in 2021 The digital transformation of the healthcare industry has been fast-forwarded by COVID-19 in 2020. Recognizing the healthcare technology trends, many healthcare providers have readily shifted their operations to the latest trending technologies. Others are also looking forward to setting their operations according to the upcoming trends. It seems like almost all the healthcare providers genuinely wanted to transform their operating system to engage the maximum number of patients, due to the healthcare technology trends set after the hardest crisis in the healthcare industry virtual reality healthcare. So, before planning your healthcare strategy for 2021, don’t miss to include these healthcare technology trends of 2021 to achieve better healthcare outcomes and stand one step ahead of your competitors. Patient Engagement Technology One of the most competitive healthcare technology trends in 2021 will be patient engagement technology. There are countless technologies available in the market for patient engagement, evaluation, and campaigning. Due to high competition in the market, these tools are priced competitively. Many healthcare organizations have started empowering themselves by achieving consistency in patient engagement with the help of available tools in the market. This also helps them achieve increased ROI. The healthcare technology trends, including remote care via telehealth, patient portals, wearable devices, mobile health applications, and many more, empower patients and increase patient engagement. Hospitals and other healthcare organizations need to improve patient experience along with engagement. The entire road to patient satisfaction and experience can be changed with these healthcare technology trends in 2021. Telemedicine As telemedicine revolutionized the entire healthcare technology in 2020 by playing a vital role in containing the COVID-19 pandemic, it is expected to be one of the healthcare technology trends in 2021 too. Using the advancement, it possible for healthcare professionals to diagnose and treat any number of patients remotely through phone calls, mobile apps, emails, and even through video calls. Telemedicine can provide patients with better access to all healthcare services, drive up efficiency and revenue, and lower healthcare costs. Augmented Reality (AR) and Virtual Reality (VR) The arrival of both AR and VR solutions has made way to witness meaningful advancements in the healthcare industry and technology. Advancements that could only be dreamt of a decade back, have become realities and been implemented. These two healthcare technology trends offer some serious promise to the world of healthcare, including educating patients before a treatment procedure. AR offers one of the latest and most spontaneous options in the healthcare industry. AR allows doctors and surgeons to experience 3D effects on real-world scenes. This healthcare technology trend permits the professionals to stay grounded on actual procedures with access to all the data through various other emerging technologies. This makes doctors compare data, in the virtual world, to understand what the patient is experiencing and make a flawless diagnosis and suggest healthcare procedures. Chatbots It is either impossible or expensive for patients to get answers from specialists for their routine queries. But, chatbots make it easier and comfortable for healthcare service providers to answer questions of patients cost-effectively. Though chatbots are currently in the experimental phase to be used in healthcare solutions, they are most likely to have the necessary access to clinical scenarios by the beginning of 2021. It is expected to be one of the progressive healthcare technology trends in 2021. As a digital assistant, chatbots allow healthcare providers to keep a track of contacts and appointments and make changes, when necessary. Chatbots are going to revolutionize the clinical processes and business, providing practical as well as clear measures for modifying and monitoring patient activities. Big Data and 5G 5G is about to sweep the world in the coming months. With the extraordinary intensification in transmission bandwidth of 5G, users will construct a huge amount of data. With 5G, the Internet of Things (IoT) will be used largely to send and receive data. In the next three years, the global wearables market is expected to reach an annual turnover of US$52 billion. This can be attributed to the introduction of 5G wireless technology, one of the healthcare technology trends. Healthcare providers will have the access to a huge amount of accurate data when data from wearable devices and other initiatives are added together. This is going to change the way providers collect data and the way doctors and patients communicate. Thus, while you plan to upgrade your healthcare technology for 2021, don’t forget that you will be receiving a huge amount of data from patients, which can be attributed to one of the important healthcare technology trends of 2021, big data and 5G. Artificial Intelligence Artificial Intelligence (AI), one of the prominent healthcare technology trends of 2021, is developed to mimic human thought processes. GNS Healthcare AI system and IBM Watson are some of the most popular examples for the active use of AI in the healthcare process. This trend is going to rule healthcare processes and revolutionize medical care in 2021. To improve healthcare professionals’ and hospitals’ care delivery to patients, Google’s DeepMind has built mobile apps and AI. The AI healthcare market is expected to reach US$7988.8 million in 2022 from US$667.1 million in 2016. This healthcare technology trend is expected to take the healthcare industry to a new realm by increasing patient engagement and experience in 2021. Cloud Computing Cloud computing is one of the major healthcare technology trends in 2021 that is going to change the industry. Attributed to the recent development of various healthcare technology trends, the cloud computing market is expected to reach US$35 billion in 2022 from US$20.2 billion in 2017. This tremendous growth is attributed to the need of storing a high volume of data for healthcare organizations at a lower cost. In the healthcare domain, the main use of big data is in Electronic Health Record systems (EHR). It allows secure storage of various digital documentation such as demographics, medical history, diagnoses, and laboratory results. Cloud computing, an important healthcare technology trend, is expected to make the healthcare process smooth and flawless in 2021. The biggest trend of 2021 in the healthcare industry is the holistic technological transformation of healthcare firms. Whether AI, ML, RPA, telemedicine, big data, chatbots, or cloud computing, almost everything related to data management and monitoring will peak in 2021. These healthcare technology trends will rule healthcare in 2021. Moreover, targeted and personalized care for critical diseases is expected to be another trend in the coming years. Frequently Asked Questions What are the technology trends in healthcare? Trending healthcare technologies are AI, ML, RPA, cloud computing, big data, chatbots, telemedicine, etc. AI, the life-changing technology is going to completely transform the healthcare industry in the coming years starting from 2021. What are the most important trends in healthcare technology? Augmented and virtual reality, Artificial Intelligence, the Internet of Medical Things, Machine Learning, chatbots, cloud computing, telemedicine, etc. are the most important technology trends in the healthcare industry. What are the current technological trends in healthcare? Artificial Intelligence (AI) and Machine Learning (ML), Internet of Medical Things (IoMT), Augmented Reality (AR) and Virtual Reality (VR), Electronic Health Records (EHR), Blockchain and data security, health-tracking apps, therapeutic apps, and telehealth are the major current technological trends in the healthcare industry.

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Spotlight

CMS Imaging Inc

CMS Imaging, Inc. is the premier healthcare solutions provider specializing in the sales and service of diagnostic medical imaging equipment. Founded in 1987 in Charleston, SC as an independent service organization, CMS Imaging has expanded its product line to include MRI, CT, Digital X-Ray, and Advanced Fluoroscopic systems. Software solutions including Avreo, Authpal by Availity, PACS Harmony, MedCurrent's Clinical Decision Support (CDS), and Bayer's Radimetrics are also available to enable customers to display, manage, and store imaging data.

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