International conference on Telemedicine and Digitalhealth July 04-05, 2022 Rome, Italy

Sustaining engagement strategies and maximizing their benefits to both patients and the health care organization involves a shift in organizational culture. Fostering culture change requires consistent attention from leadership and active outreach to staff to stress the importance of engagement at all levels of the organization. Ask patients and family members involved in engagement strategies to present to staff during meetings and provide feedback on major decisions such as investments in facility improvements, changes to policies, and senior level staffing searches.        

Analytics have proven very important for any business decisions, providing decision makers with important and relevant facts, making decisions clearer and more confident. The healthcare industry is no different, where analytics have been proven very effective in improving clinical, financial, and operational performance. It was also reported that clinical areas have the highest overall success rate, with 78 percent. The use of analytics drives down readmission rates, improves patient outcome improvements, and aids in infection control and reduction.

Artificial intelligence plays a critical role in the fight against COVID-19, including areas like pandemic detection, vaccine development, thermal screening, facial recognition with masks, and analyzing CT scans.Non-Contact infrared thermometers and other kinds of thermal screening systems use a variety of methods to determine the temperature of objects like humans. AI can quickly parse through many people at once to identify people with high temperatures. This can help to identify symptomatic individuals.Deep learning systems in facial recognition technology have improved enough that they can identify individuals with masks with accuracy of up to 95%. Even though large numbers of people are wearing masks, facial recognition is not concerned with whether or not they are wearing masks.

Human error is a problem in CT scan analysis. Artificial intelligence can detect pneumonia caused by COVID-19 in chest CT scans via multinational training data for machine learning.

Consider your most recent healthcare interaction. It likely involved some sort of medical device or equipment — a blood pressure monitor, a continuous glucose monitor, maybe evens an MRI scanner.Today’s internet-connected devices are being designed to improve efficiencies, lower care costs and drive better outcomes in healthcare. As computing power and wireless capabilities improve, organizations are leveraging the potential of Internet of Medical Things technologies.With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they’re poised to evolve the future of care.

Augmented reality is one of the most promising digital health technologies at present. Augmented reality is the use of displays, cameras, and sensors to overlay digital information onto the real world. In contrast to Virtual reality (VR),which creates an entirely new world, AR allows us to bring the most useful information from the digital realm into our perception of the environment around us. AR is not a new concept, but over the last few years, advances in camera and sensor technology and AR-focused software research have made it practical — we’re still in the early stages of the AR revolution, but this year and into the future, we can expect to see an explosion of AR devices and applications enter the market.

There’s a lot to be optimistic about in the future of telemedicine. With rapid advances in technology, it’s likely that telemedicine will only become easier and more widely accepted in the coming years. Already, smart glasses (like Google Glass) and smart watches (like the Apple Watch) can monitor patients’ health data and transmit them in real time to health professionals. Programs like clmtrackr can analyze a person’s emotional state based on their facial expressions and could be used to monitor mental wellness. Digital health startups like Augmedix, are experimenting with automatically transcribing documentation during a patient visit. Advances in robotic surgeries allow surgeons to operate on patients from afar.To keep up with the rate that technology is progressing, the telemedicine will of course need to overcome other administrative barriers, such as restrictions placed on telemedicine practice by state legislation, state-specific licensing requirements by medical boards, and the reimbursement policies that affect whether doctors are reimbursed by payers and patients are not out-of-pocket.

As the new innovations continued to emerge, we can only expect advanced health care trends in the near future. With this, we’re bound to come across new advancements in the digital health industry that will reshape its landscape.

Virtual health gives health stakeholders and patients the ability to share data and content and perform personalized interactions remotely. This can allow for convenient, high-quality access to care that can enhance provider-patient interactions. In addition, virtual health-facilitated robotics and automation can help relieve clinicians of mundane, administrative, or routine tasks, giving them more opportunities to practice at the top of their license. For example, virtual assistants can handle appointment scheduling, prescription orders, and transcribing clinician notes automatically into the electronic medical record so that clinicians can spend more time treating and engaging in face-to-face interactions with their patients.

As with any change management, Digital Transformation has its own set of challenges. I would categorize these into three areas, Technology, Operations, and Cost. Integrating with multiple IT systems, finding a qualified implementation partner, legacy issues, very few single platform solutions in the market. Cultural change, especially with senior doctors, ground staff, and as an irony the IT department who have to drive this initiative, have a tough time in subscribing to this concept. Digital Transformation is cost intensive and has to be considered as an expense towards digital infrastructure, both to develop, maintain and upgrade.

As the healthcare industry struggles to find the trade-off between the risk and reward of going digital, potential application of blockchain technology provides a timely solution to mitigate some of its pressing needs. Despite the enormous potential of blockchain in disrupting healthcare digital workflows, it may not be the panacea for all healthcare industry challenges. It therefore is critical for healthcare industry’s senior executives to first understand and decode the hype cycle of blockchain technology, and its realistic healthcare applications. By doing so, we believe that among several hundred use cases, the blockchain-based healthcare use cases mentioned below demonstrate more convincing opportunities, albeit at varying degrees of adoption across countries and health systems.

It is the form of technologies deals with health, healthcare, society to frame the productivity of healthcare delivery and generate medicines more personalized and uniquely. The wide scopes of digital health consist of healthcare information technology (IT), devices that are wearable, mobile health (mHealth), telehealth and telemedicine, and personalized medicine. Patients and customers can use digital health to improve and manage the tracking of health and wellness and similar activities.

Digital fitness technology encompass both hardware and software answers and services, including telemedicine, wearable devices, augmented reality, and digital reality. Generally, virtual fitness interconnects fitness structures to enhance using computational technology, clever devices, computational evaluation techniques, and verbal exchange media to aid healthcare professionals and their sufferers manipulate ailments and fitness risks, in addition to sell fitness and wellbeing. 

• Telemedicine
• Wearable technology
• Augmented and virtual reality
• Innovation cycle
• International Standards

Digital imaging/morphology makes use of digital images and software algorithms to classify hematological cells, such as leukocytes and red blood cells. For a subset of leukocytes, digital system classification correlates well with the manual microscope method, the gold standard. Digital imaging thereby leads to a faster, more efficient, and more standardized way of performing a morphological analysis of a peripheral blood smear. Future possible applications include the morphological analysis of other cell categories such as red blood cells and thrombocytes and digital analysis of other materials such as bone marrow samples

Morphological analysis of the peripheral blood smear (PBS) is an essential element of hematological diagnostics.1 Traditionally, the analysis of a PBS has been performed by using the manual microscope method. This method, however, is labor-intensive, requires continuous training of personnel, and is subject to relatively large inter-observer variability.2-4 The development of digital microscope systems, capable of using digital images of leukocytes, erythrocytes, and thrombocytes for classification, has been ongoing for more than a decade.

• The digital workflow in detail
• Lymphocyte pathology
• Blast cells
• Thrombocytes
• Red blood cell morphology
• Integration in daily practice
• Quality survey issues in digital imaging
• Integration of digital imaging with routine cell counter results