Healthtech Security
Article | August 31, 2023
Healthcare is top of mind as the coronavirus hits hard everywhere. The inefficiencies of the system itself are on full display during the pandemic — where testing is hard to come by, diagnoses and treatments are reactive rather than proactive, and many people do not get the care they need, when they need it. Adrian Aoun, CEO and founder of Forward, a tech-driven healthcare startup, told Karen Webster that it’s possible to build a completely new healthcare ecosystem, beginning with primary care — and the overhaul needs to leverage data and artificial intelligence (AI).
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Healthtech Security
Article | November 29, 2023
As medical science has improved rapidly, life expectancy around the world also has risen. Still, as longevity increases, healthcare systems are facing a growing demand for advanced services, increased costs, and a struggling workforce to meet various requirements of patients. Demand is driven by many unstoppable forces: a shift in lifestyle choices, shifting patient expectations, population aging, and the never-ending cycle of innovation are a few among others.
Challenges Faced by the Healthcare Industry
According to Mckinsey, one in four people in North America and Europe will be over the age of 65 by 2050. This shows that, soon, the healthcare industry will have to deal with a larger number of patients with more complex requirements. Catering to these patients is expensive and requires health systems for providing long-term focused and proactive care. To remain sustainable, healthcare systems need major transformational and structural changes.
The industry also needs a larger workforce because according to the World Health Organization (WHO), globally there is a shortfall of approximately 9.9 million nurses, physicians, and midwives. Apart from attracting, training, and retaining these healthcare professionals, you also have to ensure that their time and effort add value to patient care. Utilizing the solutions powered by modern technologies, such as Artificial Intelligence (AI) in the healthcare industry, will add perfection and more value to human efforts.
AI in the healthcare industry has the potential required to transform and revolutionize healthcare by addressing the challenges in the industry mentioned earlier. AI can better the outcomes, improve efficiency, and augment productivity in healthcare delivery. This article takes an in-depth look at the impact of AI in healthcare.
Impact of AI in the Healthcare Industry
In the coming years, AI in the healthcare industry will improve the day-to-day life of healthcare practitioners, augment the patient experience, improve care delivery, and can even facilitate life-saving treatments and revolutionize the industry. Additionally, AI will improve population-health management, operations, and strengthen innovations.
According to Statista, the global AI healthcare market will increase to more than US$28 billion by 2025. Here is a detailed look into the areas where and how AI in the healthcare industry will be impactful.
Chronic Care Management
Chronic diseases, such as cancer, diabetes, kidney diseases, are the leading cause of disability and death in the US and the main drivers of the country’s annual health cost. Effectively managing various chronic diseases is an overarching and long-term process. But with the help of the right tool, healthcare providers can meet the needs of these patients without delay.
Artificial intelligence tools in the healthcare industry can help healthcare providers overcome the complexities of chronic disease management and make it more effective and provide quality treatment. AI in the healthcare industry is increasingly being leveraged by organizations to improve chronic disease management, enhance patient health, and drive down costs, which will also eventually result in data-driven and personalized care. AI in the healthcare industry is expected to move the industry toward proactive care delivery from a reactive one and lead the industry to provide more individualized treatments. This is just one of the ways AI in the medical industry is going to revolutionize chronic care management in hospitals.
Care Delivery
Artificial intelligence in the healthcare industry is changing the way care is delivered; it is expected to make healthcare more efficient, accurate, and accessible. Reducing costs and improving health outcomes are the values health systems and hospitals are trying to deliver to patients every day. Hospitals are increasingly incorporating technologies, which are powered by the use of AI in healthcare to meet the challenge.
According to the American Hospital Association (AHA), AI in the healthcare industry has unlimited potential to solve most of the vexing challenges in the industry. They identify AI use cases in the healthcare industry in four broad areas, which are administrative, operational, financial, and clinical areas.
Administrative Use Cases for AI in the Healthcare Industry
• Admission procedures
• Appointment scheduling
• Customer service responses
• Discharge instructions
• Hiring and orientation protocols
• Licensure verification
• Patient check-in procedure
• Prior authorizations
• Quality measure reporting
Operational Use Cases of AI in the Healthcare Industry
• Inventory management
• Materials management
• Supply chain management
• Facilities management
Financial Use Cases for AI in the Healthcare Industry
• Billing and collections
• Claims management
• Insurance eligibility verification
• Revenue cycle management
Clinical Use Cases of AI in the Healthcare Industry
• Predictive technologies
• Interventional technologies
By incorporating and utilizing these scopes with AI in the healthcare industry, the industry can be transformed into a next-gen level in no time. It also allows healthcare practitioners to focus more on patients, which would eventually help in raising staff morale and improving retention.
Clinical Decision Support
Recent advancements in AI in the health industry are capable of enhancing the currently used clinical decision support (CDS) tools to have value-based imaging and to improve patient safety. According to the National Institute of Health (NIH), the synergy between CDS systems and AI in the healthcare industry will be able to:
• Reduce friction in radiology workflows
• Identify relevant imaging features easily
• Generate structured data to develop machine learning algorithms
• Enable an evolution toward decision support for a holistic patient perspective
• Suggest imaging examinations in complex clinical scenarios
• Assist in identifying appropriate imaging opportunities
• Suggest appropriate individualized screening
• Aid health practitioners to ensure continuity of care
AI in the healthcare industry is competent in making CDS a next-gen one, enhancing the experiences of radiologists and providers, and improving patient care.
Diagnostics
Slowly but surely, AI is improving almost every aspect of human life with innovations and advancements. The latest is that AI in the healthcare industry is impending a revolution in medical diagnostics by providing accurate risk assessments, accelerating disease detection, and boosting hospital productivity. By automatically prioritizing urgent cases and accelerating reading time, image recognition AI enhances the workflow of radiologists. It even helps in the prevention of diseases by the early detection of diseases.
In medical images such as x-rays, MRIs, and CT scans, AI-driven software can efficiently be used to accurately spot signs of many diseases, especially in detecting many chronic diseases such as cancer. According to the NIH, AI will be widely applied in the healthcare industry especially for various tasks such as patient engagement and adherence, diagnosis, and treatment recommendations. So, there is no doubt that AI in healthcare will revolutionize the diagnostic process in the approaching years by detecting diseases, classifying diseases, and improving the decision-making process. The application of AI in the healthcare industry will make people live longer.
Triage and Diagnosis
AI can be effectively used to automatically triage cases. AI algorithms will analyze the cases and forward cases to pathologists after determining the priority based on the probability of cases according to the criteria set by labs. This makes the workflow of pathologists easier and efficient. Through the process the algorithm will be able to:
• Verify the digital images attached to the case belong to that case
• Validate the tests ordered and match the specimen type
• Identify cases marked as stat
• Determine the cases, which can be positive or are most likely to be negative
Moreover, AI technologies in the healthcare industry also can be effectively used to provide more accurate and faster diagnoses. This speeds up the entire process of triage and diagnosis and is expected to revolutionize the healthcare industry soon.
The Future Outlook for AI in the Healthcare Industry
Over the next few years, AI in the healthcare industry has the best opportunities in hybrid models to support clinicians in diagnosis, identifying risk factors, and in treatment planning. This scope will result in faster adoption of AI technology in healthcare, which will show measurable improvements in operational efficiency and patient outcomes.
With a plethora of issues to overcome, which are driven by documented factors such as growing rates of chronic diseases and the aging population, it is obvious that the healthcare industry needs new innovative solutions. AI-powered solutions in the healthcare industry will achieve a clear impact on the global healthcare industry in a short time.
Frequently Asked Questions
Which is the best application of AI in the healthcare sector?
Cognitive surgical robotics is the best application of AI in the healthcare sector as it helps practitioners collect data from real surgical processes, which would help in improving existing surgical approaches.
Why is artificial intelligence important in healthcare?
Artificial intelligence in healthcare is vital as it can help make decisions, analyze and manage data, and have conversations. So, AI will drastically change the everyday practices and roles of clinicians.
When was AI-first used in healthcare?
The term, Artificial intelligence (AI) was first described in 1950, but the limitations of the term prevented its acceptance. In the 2000s, these limitations were overcome and people started to accept the term.
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Health Technology, Digital Healthcare
Article | August 16, 2023
Mental illness is a fatal illness. Surprisingly, mental health is grossly underfunded all over the world. Despite countries' economic strength, there are still no long-term and solution-driven results for addressing mental health. According to WHO reports, only one in every fifty people receives medical treatment for severe mental illnesses.
The Sustainable Development Goals (SDGs) are a global initiative to create a more equitable and sustainable world. According to the World Health Organization, "there can be no health or sustainable development without proper mental health." As a result, mental health is one of the most critical pillars in creating a sustainable world in the future. In short, if mental health is good, sustainability will follow naturally.
Positive Mental Health = Thriving Sustainability
According to the WHO’s decision-making body, ‘The World Health Assembly (WHA),’ mental health deserves to be at the top of the sustainability agenda because it affects people of all ages.
It means anybody can be diagnosed with a mental illness, which is directly proportionate to sustainable development. So, a similar amount of treatments, diagnoses, and awareness should help people overcome mental illness.
However, on the other hand, according to the WHO's 2020 Mental Health Atlas, only 23% of patients with mental illnesses have been integrated into healthcare systems in developing countries. This highlights the undeniable fact that the world's 280 million people suffering from depression have been kept away from receiving a proper diagnosis, treatment, and care. Moreover, up to 85% of people with mental illnesses are untreated. The numbers are shocking!
Such statistics are enough evidence to create a supportive culture free of the stigma that mental illness is incurable and encourage patients to seek help when they need it. It includes geography-specific mental health resources, proper diagnosis, care, medication, availability, accessibility, other requirements, and adequate support systems.
Global Action is Key to Both
Providers of mental health services cannot do it alone. Instead, it requires a strong global response. In this case, leading companies and legislative bodies should exert influence to promote cost-effective, widely accessible, and evidence-based treatments for mental health disorders.
Some low-cost solutions to this global problem will eradicate it and bring about long-term development to support this point. As a result, the solutions are as follows
Improving social and economic environments as part of sustainable development
Integrating mental health into general primary health care
Providing appropriate care and treatment through trained and supervised community members
Using technology to introduce the most up-to-date solutions for mental health disorders
Wrapping Up
Transformation is essential today, both technically and in terms of humanizing. Otherwise, sustainable development will be impossible to achieve unless the enormous challenge of mental health is addressed. Therefore, healthcare leaders will need to develop transitional plans to increase coverage in real-time to accomplish this. This should include proper diagnosis and progressive tracking of mental health treatments.
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Health Technology
Article | May 18, 2022
Do you know you can now wear technology?
With the help of wearable technology, it's now easier to keep track of useful information in one go! This go-to technology has made people’s lives easier and smoother health-wise.
In the last five years, more people have started using wearable technology to monitor health data and live healthier lifestyles.
According to the Deloitte Global Survey, today, more than 80% of people are interested in using wearable technology. Statista also studied that the ear-worn wearable technology market will be worth more than 44.16 billion US dollars by 2023. These data show that customers are gravitating toward wearable technology due to its simplicity and convenience.
The Tech is Getting Smarter
Wearable technology has enabled the concept of self-checking, evaluation and monitoring of certain health conditions.
The Internet of Things (IoT) technology is transforming and improving the entire lifestyles of millions of people. So it's no surprise that the technology is spreading. Thanks to IoT and AI, which have pushed these technologies into individuals’ hands in the form of smartwatches, fitness bands, and other devices. In this case, app development has also been a critical success factor.
Consumers of all age groups actively use wearable technology for multiple physical benefits, such as monitoring daily activities (running, walking), water intake, heartbeat, sleep cycles, blood pressure, oxygen level, and mobility levels. In fact, the tech helps them to stay motivated by maintaining and extending their good habits.
Wearables can measure these characteristics through an effective data model that is instantly responsive. The readings can be saved, displayed, or forwarded to a doctor for medical study. This interface of wearable technology saves money and time traveling to clinics, hospitals, GPs, and other medical facilities.
The next feature that only wearable technology provides is reminders and inspiring information! Due to the addition of automatic functionalities, users have invested considerably in wearables and sparked the usage at the current time.
Furthermore, wearable technology is also seen in other medical devices such as ECG monitors, which is again a cutting-edge consumer electronic device that users can use to measure electrocardiograms at home. A Deloitte study found that due to the rising demand and supply together, nearly 200 million wearable gadgets will be marketed globally by 2023.
Transforming Healthcare Towards Intelligence
The pandemic accentuated the importance of wearable technology the most, particularly for health monitoring. As a result, the technology was available in every second home.
Wearable innovation is exceptional with the advancements in sensors, artificial intelligence, machine learning, and algorithms. Sensor data provides insights regarding an individual's activity levels, cardiac pattern discrepancies, and other aspects. For example, many companies and manufacturers employ PPG, Raman spectroscopy and infrared spectrophotometers to enable blood pressure monitoring features in smartwatches and portable medical devices.
The combination of technology with intelligence is creating a whole new world of healthcare where individuals can track, record, and improve their health issues in a lesser timeframe.
A Committed Future of Healthcare
So, will technology for health improvement thrive?
The answer is yes. Wearable technology delivers real-time health data and allows consumers to improve their health without incurring high costs. Consumers' willingness to share their data with healthcare professionals indicates a surge in future demand for wearable technology gadgets.
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