Health Technology, Digital Healthcare
Article | September 8, 2023
Contents
1. Alexa, Are You There?
2. Digital Assistants-Cum-Doctor-Assistants
3. Toward An AI-Friendly Life!
1. Alexa, Are You There?
If Siri, Alexa, Google Now, or Cortana are your friends, you do not need any special introduction for today’s topic! This is because these digital assistants have become part and parcel of our lives; from completing our minimal tasks to helping us solve our problems, they make our day-to-day life simpler and more manageable. Popularly called AI, Artificial Intelligence is the simulation of human intelligence processes by machines. Similarly, Machine Learning, also called ML, is the capability of a machine to imitate intelligent human behavior.
2. Digital Assistants-cum-Doctor Assistants
The unpredictable pandemic years, which took thousands of lives, depict the rise of complexities in the healthcare industry. To deal with such cases in the future tactfully, the healthcare segment needs to be proactive and implement advanced technologies to detect, resolve, and prevent untimely death. Modern technologies such as Artificial Intelligence and Machine Learning help the medical fraternity perform tasks usually done by humans quickly and accurately, saving much time that can be utilized elsewhere.
Let’s take a quick tour of how AI and ML can boost the healthcare industry:
Artificial Intelligence can broadly scan patient databases or consult patients via a chatbot or online support system to understand their symptoms, send data to doctors, and get real-time diagnoses and prescribed medicines.
Machine Learning, a subset of AI, can replace traditional processes with a supervised one, as in, a patient can be treated based on similar symptoms and treatment of other patients. The process requires a quick scanning of the database, which can be time-consuming if done by human effort.
Taking technology by storm, patients suffering from neurological disorders can be treated via Brain-Computer Interfaces (BCI) backed by AI. With the help of this technology, normal bodily functions, such as the ability to move, speak or react, can be restored. It can also assist doctors in treating patients with strokes, locked-in syndrome, etc.The healthcare segment is revolutionizing, as sensitive operations such as heart surgery are being performed with robotic precision and control with AI-based algorithms. For this purpose, precision machine learning processes are being used to train robots and improve accuracy.
AI can also help in digital pathology. Instead of placing separate slides or tissue blocks and observing them manually, pathologists can do it via AI, which can help analyze digital slides using image analysis and machine learning.
3. Toward an AI-friendly Life!
If you never forget to wear a smartwatch, track daily steps, get water intake notifications, eat mindfully, and consistently monitor pulse rates, then you are already AI-friendly! You have successfully incorporated AI into your life and taken the first step towarda healthy life!
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Digital Healthcare
Article | November 29, 2023
Explore latest hospital industry trends driving digital transformation, data analytics, and patient-centric care for improved outcomes and personalized experiences in a dynamic healthcare landscape.
Contents
1. Understanding Dynamic Hospital Industry Trends
2. Significance of Keeping Up with Hospital Industry Trends
3. Quick Glance at Latest Hospital Industry Trends
3.1 Cybersecurit
3.2 Virtualization and ML capabilities
3.3 Telehealth and Telemedicine
3.4 Robotics
3.5 Wearables
4. Future Scope
1. Understanding Dynamic Hospital Industry Trends
The hospital industry is undergoing dynamic changes driven by digital transformation, data analytics, and patient-centric care. Hospitals are adopting technologies like electronic health records (EHRs) and telemedicine while leveraging data analytics and artificial intelligence for better insights. Patient engagement and personalized healthcare experiences are prioritized. The shift towards value-based care and proactive population health management is evident. Collaboration, interoperability, and preventive care initiatives are also gaining importance. These emerging trends in healthcare technology reflect the industry’s commitment to improving patient outcomes in an evolving landscape.
2. Significance of Keeping Up with Hospital Industry Trends
Staying up-to-date with the latest trends in healthcare industry is of utmost importance for professionals and organizations. It enables them to deliver improved patient care by implementing cutting-edge technologies and treatment methodologies. Hospitals can streamline processes, reduce costs, and allocate resources effectively by adopting industry trends focused on operational efficiency. Keeping pace with industry trends also provides a competitive advantage, helping hospitals attract and retain patients, maintain their reputation as innovative institutions, and outperform competitors. Furthermore, staying informed about evolving regulations and compliance standards ensures hospitals remain compliant, avoiding penalties and legal issues. Industry trends also reflect the changing demographics of patient populations, allowing hospitals to adapt their services and offerings accordingly. This knowledge aids in strategic decision-making, enabling administrators to align their strategies with the evolving healthcare landscape. Additionally, staying updated on industry trends facilitates collaboration and partnerships, promoting innovation and improved healthcare delivery.
3. Glance at Latest Hospital Industry Trends
The hospital industry is experiencing a wave of the latest trends reshaping the healthcare delivery landscape. From technological advancements to shifting patient needs and evolving care models, these trends drive significant changes in how hospitals operate and provide care.
3.1 Cybersecurity
Taking the lead in hospital industry trends is cybersecurity, which plays a vital role in safeguarding the industry against cyber threats and protecting patient information, sensitive data, and critical infrastructure. By implementing a robust hospital cybersecurity policy, patient data confidentiality, integrity, and availability can be ensured, along with mitigating the financial and reputational damages that can arise from cyberattacks. Furthermore, cybersecurity measures enable the continuity of healthcare services and foster patient trust. Prioritizing cybersecurity helps hospitals maintain compliance with data protection laws like HIPAA and strengthen relationships with patients and other stakeholders.
3.2 Virtualization and ML Capabilities
Next in line with hospital industry trends is the adoption of virtualization and machine learning (ML) capabilities that are revolutionizing healthcare operations and patient care. Virtualization allows hospitals to optimize infrastructure, reduce costs, and enhance resource utilization by creating virtual instances of hardware and software. Concurrently, ML algorithms analyze vast amounts of healthcare data, such as electronic health records and medical images, enabling accurate diagnoses, personalized treatments, and predictive insights. The integration of virtualization and ML facilitates remote healthcare services, ensures data security and privacy, and drives operational efficiency, ultimately leading to improved patient outcomes and streamlined healthcare delivery.
3.3 Telehealth and Telemedicine
The rapid adoption of telehealth and telemedicine, which will transform healthcare delivery, is on the horizon for the hospital industry. These technologies enable convenient access to healthcare services, especially for individuals in remote areas, reducing travel time and costs. Telehealth and telemedicine improve healthcare efficiency by reducing wait times, allowing timely medical advice, prescription refills, and follow-up care. They also facilitate collaboration among healthcare providers and specialists, ensuring access to specialized care. In emergencies, telehealth and telemedicine in the hospital industry enable real-time triage and remote monitoring. Despite challenges related to regulatory compliance and data security, telehealth and telemedicine have transformed healthcare delivery, offering convenience, efficiency, and expanded access to care.
3.4 Robotics
The integration of hospital robotics is reshaping the industry, revolutionizing surgical procedures by enabling exceptional precision and significantly reducing recovery times. Surgical robots assist in complex surgeries, improving accuracy and patient outcomes. Additionally, robots streamline tasks like medication dispensing and inventory management, reducing errors and freeing up healthcare professionals. Rehabilitation robots aid patients in regaining mobility, while robotic telepresence enables remote consultations and monitoring. Despite challenges such as implementation costs and regulatory considerations, robotics continues to transform healthcare delivery, enhancing patient care and operational efficiency.
3.5 Wearables
The widespread adoption of wearables, emerging prominently in the hospital industry, redefines patient care and monitoring practices. Wearable devices, such as smartwatches, fitness trackers, and remote patient monitoring devices, offer real-time health data and enable continuous monitoring of vital signs, activity levels, and sleep patterns. These devices provide valuable insights into a patient's health and allow for early detection of potential health issues. Wearables promote patient engagement and empowerment by encouraging individuals to manage their health actively. Healthcare professionals can remotely monitor patients' health status, track medication adherence, and intervene promptly if abnormalities are detected. Additionally, wearables offer opportunities for remote patient monitoring, telemedicine consultations, and personalized health interventions.
4. Future Scope
The potential of hospital industry trends in the coming years also encompasses genomics and personalized medicine advancements. With an increasing understanding of genetic factors in health and disease, hospitals can offer tailored treatments based on an individual's unique genetic makeup, leading to a revolution in disease prevention, diagnosis, and treatment. Furthermore, integrating blockchain technology in healthcare is expected to enhance data security, interoperability, and patient privacy, enabling seamless sharing of medical records across healthcare providers. Overall, the horizon of the hospital industry holds immense promise for innovative technologies, data-driven insights, and patient-centric care models, all contributing to the development of a more efficient, accessible, and personalized healthcare ecosystem.
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Health Technology, Digital Healthcare
Article | September 7, 2023
Artificial Intelligence or AI has attained continuous evolution over the years and witnessed widespread adoption across major industries of the globe. The Forbes report of December 2021mentions that the number of AI startups since 2000 has increased 14 times, and investments in AI startups have grown six times. It underlines the fact that the AI industry, powered by its path-breaking developments and innovations, has always been an attractive and trending option in the market.
Within a very few years, AI has taken over different segments of healthcare like wellness, early detection, diagnosis, decision making, treatment, research, training, public health functions (surveillance and outbreak response), virtual care etc. A study by Accenture claims that AI-enabled devices and gadgets meet 20% of the clinical demands, and this has reduced the unnecessary visits to hospitals by a great number.
Applications of AI in healthcare is broadly categorised into 3 segments, namely, Patient-oriented AI; Clinician-oriented AI; and Administrative-oriented AI. The transformative role of AI in healthcare is undeniable, as it scripts new journey for patients and practitioners, alike.
According to Healthcare IT News, 63% of the research subjects agree to the observation that the devices and machinery enabled by AI have provided excellent value to the specialty healthcare divisions like radiology, generic pharmacy, pathology, etc.
The rapid growth of AI in highly delicate domains like healthcare calls for great promise to accelerate diagnosis and treatment. At the same time, it also puts ethics, patient safety and privacy concerns at the heart of it; thereby calling for a framework of governance. Gartner report of July 2019 predicted the application of AI in more than 75% of the healthcare delivery organizations (HDOs) around the globe.
Since most of these HDOs are new to adopting and applying AI-enabled machinery and services, AI governance is crucial to prevent the actions that may lead to errors, misjudgements and further chaos. Moreover, the degree of variance in the application of AI is high, and therefore it is not advised to implement the AI mechanisms without proper guidance or governance.
From AI-enabled smart bands to pacemakers, the range of devices and gadgets offered by the AI industry is simply remarkable. The implementation of AI in the healthcare sector has proven to be highly effective in drastically reducing the scope of slipups. Moreover, AI has also facilitated early detection of illness with the help of daily use gadgets and devices in a smart way.
At this juncture, it is equally important to create data governance framework that ensure ethical principles are applied to patient, providers and payers’ data. Further, AI initiatives by healthcare providers should be created using transparent protocols, auditable methodologies and metadata. These technologies should do no harm, reduce biases and help patients make informed decisions about their care.
A significant part of AI governance also lies in change management. To build trust towards AI’s adoption across the healthcare ecosystem, there should be a dialogue between clinicians, scientists, technologist and end-users. Such discussions will address the opportunities, value and investment, including concerns across the stakeholders.
In fact, prominent think tanks suggest healthcare providers to establish an AI Governance Council to monitor the value, investment and use of strategic AI capabilities. Some of the crucial roles and responsibilities for the Council include addressing legal and regulatory compliance; clinical evaluations; ethical usage guidelines and organisational deployment of AI across the system.
AI is indeed a revolutionary technology that has huge surprises up its sleeves for the future. But exploring new frontiers comes with its fair share of challenges. Establishing appropriate governance over AI implementation and initiating a conversation around the ethical implications and regulations as well, will play a fundamental role in the introduction and scale-up of AI in healthcare.
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Health Technology
Article | June 22, 2022
Technology in the 21st century is the fuel that drives innovation and ease in almost every industry today. The healthcare sector isn’t far behind. In fact, the medical industry has taken the concept of the Internet of Things and took it to a new level altogether to reimagine the use of medical technology.
Imagine multiple devices like phones, cameras, GPS sensors, and computers interacting with each other through a seamless transfer of data. Now consider wearable medical devices. The exchange of critical medical information through a web of real-time data networks activates near instantaneous responses from doctors, nurses, and medical services. The aim is to anticipate the need for medical attention long before it is needed and remedy the concerns before they reach a critical stage.
That is exactly how the future of the Internet of Medical Things (IoMT) is shaping out to be.
How IoMT is Redefining Everyday Health?
IoMT is a next-generation solution that embeds cutting-edge monitoring and analysis of individual healthcare journeys through medical devices. The smart watch is the most recognizable wearable medical device that is used by millions of people daily to keep tabs on their vitals.
For instance, the Apple Watch series 6 maps blood oxygen levels, sleep patterns, ECG levels, and also reminds the user to wash their hands after returning home.
The market for healthcare IoT products is vast and is constantly expanding. The Tango Belt is a leading example of smart wearable technology that is revolutionizing elderly and disability care. The belt is designed to sense falls and deploy airbags to soften the impact. In addition, it alerts caregivers in the event of a fall. The belt also uses data analytics by collecting mobility data that is then synced to a smartphone app for displaying metrics.
Technologies that Empower IoMT
With the diverse tasks that medical devices must perform, applications exist across a wide spectrum, from artificial intelligence to 5G networks to the cloud.
Consider a pacemaker, for instance. Modern pacemakers are embedded with a multitude of technologies that communicate with each other to send critical patient data to physicians. A pacemaker is a bioelectronic implant that is placed in the chest to control the heartbeat. But a smart pacemaker goes a step further. It is equipped with wireless bluetooth technology that communicates with the patient’s wearable medical device. The smart device or phone will then transfer this data to physicians for check-ups and even alert doctors in the case of anomalies.
To Round It Off
IoMT will subsequently power all medical devices and usher in a future where technology forms the backbone of healthcare service delivery. Although wearable medical technology has been around for decades, the development of a streamlined communication channel between them has redefined their use. Smart medical devices are no longer just an aid but a source of vital individual medical data as well as a way to anticipate care and medical attention.
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