Gen-AI and 5G Edge add significant value to the Healthcare Ecosystem

Generative AI with 5G Edge Networking will add significant value across the Healthcare Ecosystem, from medicine research to doctor office practices, to disease preventive measures, for hospital, clinics, urgent care centers, patient-care and patient-journey solutions.  Many companies have begun to use ChatGTP, Large Language Model (LLMs) advanced chat technology to accelerate their activities. Some security/privacy issues exist and both Amazon and Walmart have warned employees not to us it for work. Still, we can anticipate that LLMs like ChatGTP will reinvent standards of human excellence in multi-channel, multi-generational patient care.

Using Open-AI (ChatGPT) to rethink work, transform patient care and reinvent HC operations.

•        Use of Open-AI (ChatGPT) technology to radically rethink work, will transform patient care and reinvent healthcare operations.

•        Radical thinking via Accelerated Gen-AI Lean Six Sigma Continuous Improvement methods will use “Large Language Model Gen-AI (Open-AI ChatGTP3/4/5) to improve patient care and enable high revenue growth, cost-reductions and balance-sheet improvements for healthcare enterprises of all sizes.

•        All aspects of healthcare activities will be transformed, from existing methods in scientific research delivering life-changing medicines, to improving patient care in hospitals, doctor’s offices and urgent clinic activities. It will also create more rewarding work and massive improvements in human productivity.

•        Leader healthcare enterprises will build a strong Digital Core technology develop Gen-AI Lean-Centers-Of-Excellenceand train people to responsibly gain full value of Gen-AI

•        Healthcare leaders recognize the need for secured 5G Edge infrastructure. They will build, buy or rent it, to receive 99.999% telecom voice/video communication and enable Gen-AI telemedicine delivery to remote locations, including higher-quality radiology technology, for improved disease detection, and delivery of remote surgery, in life saving critical moments.

Healthcare Digital Core, a key success factor

Today, healthcare-enterprise digital transformation in 2023 and beyond is founded on using Digital Core Technologies along with SAI6’s best practices in Agile, Gen-AI-Lean Six Sigma methods (GAI-LCoE). This is the foundation enabling practice of Continuous Improvement

Use of a Healthcare Digital Core and GAI-LCoE continuous improvement best practices enables the leading healthcare organizations to continually evolve digital excellence in patient-care, patient-journey, improving employee morale and meeting the needs of the digital community.

Digital core next-generation technologies include Gen AI Advanced Analytics, IoT/IoMT, 5G Secured Network Slicing with URLL remote telemedicine enabling services, and Gen-AI Chatgtp4/5 public-private Large Language Model (LLMs) developments. Agile Program/Project Management, LLM DevSecOps and GAI-LCoE(Lean Six Sigma Continuous Improvement Methodologies. Six Sigma Methodology defines five data-driven stages Define, Measure, Analyze, Improve and Control (DMAIC). When fully implemented, DMAIC standardizes an organization's problem-solving approach and shapes how it ideates new process solutions. This is a driving force.

Digital Core GAI-LCoE technology integration is best enabled when integrated into and running on flexible, scalable 5G Edge cloud platforms. Digital Core GAI-LCoE is key to organizations evolving their digital transformation initiatives. that automate-improve existing healthcare processes and develop new operational models. An example is a “Patient-Journey Centric Experience Management” system that has access to a patient’s entire history, e.g., the multiple patient-journeys of his or her life. This provides the patient’s current doctor with better insights into the patient’s health history. It enables current-event-driven patient-care decision-making.

5G Edge, Blockchain, and Gen-AI LLM solutions

5G Edge Network Computing, Blockchain and Gen-AI are already powerful healthcare industry transformation forces. An important benefit of 5G edge computing is reduced latency. In 5G, latency can be reduced by a factor of 2 to 10 depending on edge computing assumptions.

5G and AI have reshaped end-to-end workflow in the Medication-R&D industrial segment. Innovation in medical devices (IoT/IoMT), and IoMT healthy therapeutic applications for cellphone are abounding. Humanity is on the way to potentially living more healthy lifestyles. 

And HC organizations of all disciplines and sizes will be likewise transformed. Remote robot surgery will become banal as the 5G Edge clouds that provide more secure, reliable, end-to-end network slices (e.g., from surgeon-workstation to robot IoMT). This is also leading the way to more personalized patient-centric care, and the use of more intelligent chatbots to be used in HC administrative management. It is an exciting time for the HC industry, where new products and services are arriving regularly, giving early adopters opportunity of advantages.

Revolutionizing Medical Research with 5G Networks

5G networks are behind the scene heroes in the realm of medical research, ushering in a new wave of advancements and possibilities. They are the silent enablers of groundbreaking innovations, making the seemingly impossible, possible.

Facilitating Advanced Technologies

We’re arriving in an era where the vastness of data doesn’t overwhelm but enlightens. Private 5G networks are the portals to this world, making Artificial Intelligence and Machine Learning not just edge accessible but exceptionally functional for researchers. It sifts through tons of data in fraction of a second, spotlighting and unlocking the previously unknown. This new era exploration creates potential pathways to new scientific revelations, enabling the development of revolutionary treatments and therapies that will enrich the medicines and treatments of the future. 

5G Edge Speed Enables Deeper Predictive Health Insights

5G Edge’s speed gives a greater potential for distributed cloud computing than ever before. With worldwide data doubling of every 18 months, the potential for previously unthinkable insights will become quotidian. This will help drive the evolution of personal care. With mature AI and ML SaaS in public cloud offerings and ever maturing LLMs arriving, we now have the cognitive computing power to inspect data in ways that weren’t possible before, to be able to predict diseases.

With all this data, 5G is an enabler of evolving research. In this enriched environment, data becomes a foundation for new insights. Every piece of information analyzed is a step closer to new discoveries, pushing the boundaries of what medical science can achieve. 

Remote Robotics, Autonomous Vehicles, a Mosaic of Research, 5G URLLC

Examples of 5G technology enabling remote robotic surgery

Expanded use of 5G technology (2019-2021) enabled European and Chinese hospitals to perform remote surgical procedures, telemedicine and real‐time interactive procedures on animals, and humans. In Germany and China in 2019, doctors remotely controlled implants for deep brain stimulation (DBS) through 5G to treat Parkinson's disease and brain ailments. Three patients (two Parkinson's disease, one essential tremor) were recruited and operated on‐site to install the headframe, craniotomy, and microelectrode puncture in Beijing. One can easily admit, remote surgery on humans is possible today, in 2023, with all the 5G infrastructure now installed across the USA.

The remote‐control group observed the microelectrode recording and imaging to confirm the implantation of the electrode.  5G’s reliable low latency Quality of Service clearly offers today, a solution to previous latency and reliability barriers on remote surgeries attempted 15-20 years ago. Today, 5G‐powered remote and telemedicine procedures enable new services to improve patient care that might require remote robotic surgery, and prostate cancer patients are one possible example.

5G URLLC service class ensures, ultra reliable, low latency communication. It has almost zero latency, but loss of any transmitted data when a robot surgeon is in use, could cause fatal movements and a tragedy. The robot interface must be able to transmit data over URLLC  5G, and prevents any medical problems. It’s like loss of transmitted data when a driverless car or ambulance is in use, could result in a serious even fatal accident. For this reason, it is important remote robots and vehicles are able to transmit data ultra reliably over 5G URLLC.

Fertilizing an Evolving Garden of Diverse Research Ideas

5G networks enable varied types of research, providing powerful bridges between varied research specialties, fostering real innovation, a catalyst for brilliance, where every new insight finds its place in this-evolving new mosaic of medical science discovery, fostering a rich, multi-dimensional research ecosystem. Between these interconnecting domains, innovation will flow, and fertilize the varied garden of medical knowledge. By integrating 5G networks into the medical field, innovations can include the use of augmented and virtual reality in surgical procedures that interact with ultra-high-definition radiology images, even in real-time. These innovations will enable enhanced precision surgery and shorter recovery times, significantly improving patient outcomes. 

 

A Plethora of service creation with more efficient healthcare

Generating more complete processes of patient-centric records:

Generative AI is being used at MIT to generate patient records from scratch, to fill in gaps in existing records. MIT’s Clinical ML MedKnowts, a “Smart EHR “system that employs ML learning to reduce clinician’s workflow by how it interfaces with an EHR. Medknowts can: Autocomplete and automatically structure medical terms. It also proactively surfs the internet for any or all relevant information (e.g., historical lab tests, pertinent notes). It auto populates sections of the classic EMR note. 

Creating personalized treatment plans:

Gen-AI is used in uMETHOD to create personalized treatment plans for Alzheimer’s disease. With many so different factors, like genetics, lifestyle and environment, influencing a person’s risk of developing Alzheimer’s, uMETHOD’s created an AI solution RestorU to allow doctors to develop individualized treatment plans. It uses AI to help physicians create personalized care plans for patients with Alzheimer’s and other types of dementia. It’s based on an individual’s medical history and data, to ensure patients receive the best possible care.

Delivering new life changing medicines and therapies:

At AstraZeneca AI/ML and data are used to transform the speed and quality of the discovery and delivery of new drugs and therapies by analyzing large datasets of medical data with AWS’ ML services. This helps their pharmaceutical researchers to identify new patterns and trends that become new AstraZeneca medicines and treatments for diseases. At AWS re:Invent 2021 Ana Berg Ashberg, and Dr. Ian Dix each presented the high-level workflow and the different AWS ML services that are being used on a daily basis at AstraZeneca.

Gen-AI for improving efficiency of healthcare systems:

DeepScribe in an AI-powered scribe that captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking. Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time, and proved it decreases the amount of time providers spend on administrative tasks by three hours each day. Abridge’s ambient AI scribing products are now in use at more than 140 provider locations in the University of Kansas Health System. Thus, Generative AI is being used to improve the efficiency of healthcare systems by automating administrative tasks and by providing clinicians with more accurate and timely information. This can help to reduce costs and improve the quality of care.

 

Benefits of the GAI-LCoE Digital Core methods

One of the main stay benefits of the GAI-LCoE and Digital Core is its discipline of continuous improvement. This enables organizations to integrate new process and transactional data from its back office, or from any secured data base system with massive amounts of structured and unstructured data. Avoiding garbage-in-garbage-out, these various sources must be controlled and secure. Advanced analytics functionality then processes the data, enabling the organization to derive new insights, such as predicting outcomes or proposing new actions. Many of these processes or actions can configured operate automatically and continuously

Lean Center of Excellence (LCoE) and PMO Program Management

LCoE is the foundation of strategic PMO Program Management for patient-care initiatives. Projects to improve the quality, safety, and efficiency of patient-centric health services, they range from integrating new Gen-AI technologies, and workflows, to enhancing patient engagement, education, and increasing employee satisfaction. These PMO led initiatives require time, money, and staff, and probably affect the financial performance of a healthcare organization. Healthcare management needs to be in agreement with the overall strategic plan and roadmap of these initiatives. The LCoE process of evaluating return on investment (ROI) of patient care initiatives is important, because it measures the benefits and costs of an initiative relative to its objectives and alternatives.

Lean Center of Excellence and Healthcare (HC) ROI

HC ROI calculating is a process that can help healthcare leaders and managers assess the value and impact of patient care initiatives, and prioritize the strategic roadmap and allocate resources among competing initiatives. It helps communicate the results and justifies the decisions to stakeholders, patients, and providers.

Patient Engagement and Hackathon Ideation

Somebody asked “How can we improve patient engagement?” There were three days of collaboration, team building, problem-solving, and prototyping, on Feb 24-26, 2023 at Yale’s tenth annual Healthcare Hackathon. “Emma’s Story” team won first prize as it developed a platform to help children better cope with oncology diagnoses through storytelling. They received a $5,000 grand prize. Diverse, multidisciplinary teams came together on a weekend, and turned their ideations into realities.

LCoE culture suggests you don’t need wait for company milestones to recognize healthcare employees for creative contributions. Communicating recognition frequently makes it a part of the organization’s everyday culture. A public award ensures that those who continuously sacrifice behind the scenes are given center stage, to be celebrated by everyone.

 

A LCoE awards program should be designed to align with your organization’s values, and the employee experiences you want to create. This can literally shift your company into a culture of continuous improvement. SAI6-Acceerate tailor’s Green Belt Six Sigma training with n emphasis on using Gen-AI tools to accelerate Six-Sigma processes. This instills an attitude of continuous improvement, recognizing Undesirable Events (UEs) as outdated processes and communicating suggestions how to mitigate them

 

The importance of HC ROI for patient care initiatives

We don’t define here any LCoE ideation best practices, but suggest it is necessary to have a rigorous process for calculating ROI for all patient care initiatives. Firstly, define the scope and the initiative’s objectives: What is the problem/opportunity? What are the expected outcomes and benefits, and how long will this last? And who are the target stakeholders? Secondly, identify implementation costs for the operation of the initiative, e.g., capital, labor, materials, training, maintenance, and overhead costs. Thirdly, identify and measure anticipated benefits that will result from this initiative.While ROI analysis can provide useful insights and guidance for healthcare managers, there are challenges that need to be taken into account. These include data availability, quality of information, perspective and value, as well as time. For example, reliable and accurate data on the costs and benefits of the initiative may not be available, especially if they are intangible or long-term. Additionally, you may need to consider “net present value,” the time value of money, to discount and adjust the future costs and benefits to their present value.

Apply ITIL4 principles to improve ROI communication on patient care initiatives

To improve and communicate the ROI for patient care initiatives, the PMO should examine where the project is relative to key ITIL4 principles

·        Collaborate and promote visibility, because people are naturally resistant to change, so when working differently with ITIL 4, explain the benefits to team members.

·        Keep it simple and practical, assess how to simplify processes can handle 80% of variation. Avoid adding decisions and actions to support non-mainstream demands.

·        Create more value, when you collaborate as a matter of everyday practice, because everyone benefits. Promote using Slack™ to collaborate more often and easily with your teammates, doctors, nurses, assistants, IT team, and partners.

 

PMO/PMP Principles and strategic roadmap

We use PMO/PMP principles to align program management with healthcare initiatives with the strategic roadmap, it’s goals and priorities, and use a framework and tool, also involve stakeholders, use multiple measures, and share and disseminate the results. Make sure that the initiative supports the mission, vision. Use a standardized and consistent framework, example ITIL4™ and tools.Use different sources of data to validate results before sharing them with relevant stakeholders.

Seize and Capitalize on the accelerating evolution of Gen-AI capabilities

Healthcare organizations will have countless ways of apply generative AI and foundation models to maximize efficiency and improve patient care. Still, there needs to be a GAI-LCoE strategic plan, and roadmap, guided by a PMO with CXO support using Lean Healthcare principles. reinventing work in a path that equates business value to patient care improvements. CXO healthcare leaders determine a strategic roadmap, through Ideation prioritization, and lead the change, directing job redesign, task redesign and reskilling people.

Jumpstart expanding use of Gen-AI to improve-patient-care:

Ideation-experimentation takes on a multifaceted approach. First, Lean Center of Excellence LCoE and PMO leaders craft a strategic PMO Program Management focused plan recognizing "low-hanging patient-care fruit" opportunities in the “approved Ideation backlog.” This is accomplished with LLM models that can identify backlog applications that best fit the organizations documented strategy, and that will realize quick returns. The other, focused on reinvention of patient care models that are customized with the organization's data. A patient-first driven mindset is key to define, and successfully deliver on, approved-ideation use-cases.

Patients first approach.

Focus as much on patients-care improvements as on technology. Ramping up talent investments to address both creating goal-oriented AI-models and then using them to improve the speed and quality of discovery, development and delivery of new medications to patients, via AI. For R&D IT at AstraZeneca this meant developing technical competencies like AI engineering, and training people across the organization to work effectively with AI-infused processes.

Get organized to have your proprietary data ready.

With ChatGTP in mind as a foundation LLM model, it means vast amounts of data must be curated. Organizations learn that it takes real sweat in solving the data challenge. Take a strategic and disciplined approach to acquiring, refining, safeguarding and deploying data. Ensure the organization has a modern enterprise data platform built on cloud with a trusted, reusable set of data products.

Revolutionize Healthcare and Medical Research with 5G Edge

Facilitating Advanced Technologies

We’ve come into an era where the vastness of data doesn’t overwhelm but will enlighten. Private 5G networks are the portals to this world, making Artificial Intelligence and Machine Learning not just edge accessible but exceptionally functional for researchers, unlocking the previously unknown. This new era exploration creates potential pathways to new scientific revelations, enabling the development of revolutionary treatments and therapies that will enrich the medicines and treatments of the future. 5G networks are ushering in a new wave of advancements and possibilities. They are the silent enablers of groundbreaking innovations, making the seemingly impossible, possible.

5G Edge Speed Enables Deeper Predictive Health Insights

5G Edge’s speed gives a greater potential for distributed cloud computing like never before. With available data doubling of every 18 months, the potential for previously unthinkable insights will become quotidian. This will help drive the evolution of personal care. With mature AI and ML SaaS in public cloud offerings and ever maturing LLMs arriving, we now have the cognitive computing power to inspect data in ways that weren’t possible before, to be able to predict diseases.

With all this data, 5G is an enabler of evolving research. In this enriched environment, data becomes a foundation for new insights. Every piece of information analyzed is a step closer to new discoveries, pushing the boundaries of what medical science can achieve.

5G Edge Speed Enables Deeper Predictive Health Insights

5G Edge’s speed gives a greater potential for distributed cloud computing like never before. With available data doubling of every 18 months, the potential for previously unthinkable insights will become quotidian. This will help drive the evolution of personal care. With mature AI and ML SaaS in public cloud offerings and ever maturing LLMs arriving, we now have the cognitive computing power to inspect data in ways that weren’t possible before, to be able to predict diseases.

With all this data, 5G is an enabler of evolving research. In this enriched environment, data becomes a foundation for new insights. Every piece of information analyzed is a step closer to new discoveries, pushing the boundaries of what medical science can achieve. 

5G ensures ultra reliability of data transmission, almost zero latency, but loss of any transmitted data when a robot surgeon is in use, could cause fatal movements and a tragedy. The robot interface must be able to transmit data over URLLC (ultra reliable, low latency communication). In 5G, it is critical remote robots transmit data ultra reliably over 5G URLLC.

5G networks also enable varied types of research, providing powerful bridges between varied research specialties, fostering real innovation, a catalyst for brilliance, where every new insight finds its place in this-evolving new mosaic of medical science discovery, fostering a rich, multi-dimensional research ecosystem mosaic. Between these interconnecting domains, innovation will flow, and fertilize the varied garden of medical knowledge. 

By integrating 5G networks into the medical field, innovations can include the use of augmented and virtual reality in surgical procedures that interact with ultra-high-definition radiology images, even in real-time. These innovations will enable enhanced precision surgery and shorter recovery times, significantly improving patient outcomes. 

5G Edge and Secure Blockchain Integration

The synergy between 5G and blockchain offers transformative opportunities across industries. 5G enhances connectivity, providing high-speed, low-latency, and massive IoT connectivity. Blockchain establishes trust, transparency, and security within industries.

A major challenge across the healthcare sector, is ensuring the authenticity of medical goods. Blockchain-based systems track items from the manufacturing point and at each stage through the supply chain to give customers full visibility and transparency of the goods they are buying.

Healthcare systems in everywhere are struggling with the problem of data siloes, meaning that patients and their healthcare providers have an incomplete view of medical histories. A potential solution is creating a blockchain-based system for medical records that can be linked into existing electronic medical record software and act as an overarching, single view of a patient’s record. Blockchain-enabled EMRs can become a single source of truth of a patient’s medical records, creating a better experience for patients and healthcare providers

 

5G IoT security is a huge issue, in terms of ensuring that patient data is private and secure and that it is not tampered with. In some cases, a connected device may be critical in emergency situations. It is also crucial that these systems are resilient to DDoS or Fraud attacks disrupting service. Blockchain systems could help secure remote monitoring IoT/IoMT devices:

Blockchain cryptography ensures that only permitted parties gain access to personal data, which is stored on the blockchain

 

The combination of 5G and blockchain revolutionizes healthcare, logistics, finance, and other industries, enabling real-time data sharing, enhanced security, and efficient processes. Key benefits include improved patient care, supply chain traceability and efficiency, and streamlined financial transactions. As 5G continues to be deployed globally and blockchain gains wider acceptance, the fusion of these technologies will undoubtedly unlock even more innovative solutions, creating a future of unparalleled potential healthcare security and new healthcare services.

 

LCoE PMO Navigates 5G Implementation Roadmap Challenges

The journey of integrating 5G in healthcare is a critical component in healthcare’s strategic roadmap, and comes with anticipated training and integration challenges. It is essential that the overall project implementation team and eventual users of these advanced technologies be enriched with an attitude of continuous improvement.

 Technological innovation in Gen-AI LLM models for example will be evolving at a more rapid pace as time moves forward. The need for fostering effective collaboration on the organization’s Digital Transformation team is another key ingredient for success. We at SAI6-Accelerate understand from experience that Dojo training and Gen-AI Lean Centers of Excellence, GAI-LCoE are essential to maintaining a leading edge in the healthcare industry. And using SMEs with 5G and Gen-AI experience are essential

Roll Your Own HealthGTP Private LLM?

Early adopters of ChatGTP admitted struggling to get employees to keep their secrets out of ChatGTP. Walmart and Amazon have warned employees not to. So, build your own HealthGTP from GTP-4 or some other opensource. That is a subject for another white paper, it is not so easy.

Quo Vadis: 5G Edge, Public or Private and LLM Digital Transformation

There is a highly competitive aspect to the healthcare landscape of new medicine research-development and delivery. Specialty hospitals need to make use of the latest technologies many of which are now including Gen-AI components. In terms of risk and time-to-market, a number of healthcare giants have opted to use major cloud providers AWS, Microsoft Azure, Google, IBM, Oracle, etc.

Some of the most rewarding new Gen-AI capabilities can be integrated into your existing IT systems without altering its architecture. Urgent care clinics, and specialty doctors or all kinds. VCs continue to pour money into promising Gen-AI startups and market leaders. Considering the substantial investment in training, technology and infrastructure for a healthcare organization to remain highly competitive, a CXO backed, PMO led 5G, Gen-AI, LCoE is essential to managing integration and compatibility issues between existing and new 5G and Gen-AI systems. And organizing and keeping a staff is well-versed with the new technologies, will leads to exciting challenging times.

Addressing these challenges demands a harmonious collaboration between tech providers, healthcare institutions, and policymakers. Standardized protocols, APIs, ease of blockchain integration, LLM-based DevSecOps platforms and clear guidelines are crucial for the seamless integration and operation of 5G Edge Gen-AI enabled healthcare services. 

SAI6-Accelerate’s mission is targeted at continuous improvement for healthcare enterprises of all sized. We believe that Private 5G Edge services and secure Gen-AI functionality will become the backbone of next-generation healthcare services. Digital transformation at a new level, across the enterprise, heralding a future where accessibility, efficiency, and quality of healthcare will reach new heights. Embracing these technologies is vital for a future where healthcare will be more personalized patient focused, and about prevention and quick intervention, and ensuring healthier and happier lives for all.