Health Technology, Digital Healthcare
Article | August 21, 2023
NIS2 Cybersecurity Rules Approaching: Is Your Organization Prepared? The EU NIS cybersecurity regulations are evolving for 2024, and if you’re not currently aware of how they’ll apply to your organization, now is the time to get up to speed with the desired requirements. Not only is the directive being tightened, but an extended range of healthcare and related organizations will be added to the list of ‘critical entities’ that must comply. These include certain medical device manufacturers, pharmaceutical companies, and organizations that carry out R&D. The Network and Information Systems (NIS) standards were set up in 2016 to protect essential services – such as water, energy, healthcare, transport, and digital infrastructure – from online cyberattacks. The updated legislation, NIS2, will have stricter rules,reporting requirements, and higher penalties for non-compliance. They will apply to medium-sized and large businesses that operate within one or more EU countries. Those based only in the UK can’t sit back; however, the original NIS regulations will still apply as part of British law. What’s more, a UK version of the rules is coming very soon, and it’s likely that the framework will closely resemble the EU’s. What will the requirements cover? There are a number of cyber risk management measures that all organizations that come under the scope of NIS2 will be required to put in place. For instance, they will need to conduct regular security assessments and risk analyses, adopt incident response and handling plans, and appoint a chief information security officer (CISO), among other obligations. The new directive will streamline and strengthen incident reporting requirements. Entities must notify regulators of any incident that has compromised data or had a significant impact on the provision of their services, such as causing severe operational disruption or financial loss. Applying information system security policies and business continuity plans will form part of the obligations, as will conducting cybersecurity testing and training for all staff. The use of multi-factor authentication (MFA) and encryption, wherever appropriate, will also be mandated. There is plenty of focus within the directive on the cornerstones of cybersecurity best practices particularly, the proper control of administrator-level account credentials, privileged access, and endpoints, all of which are prime targets for attackers. Under NIS2, organizations are being separated into ‘critical’ and ‘important’ entities. It’s important to determine which category yours’ will fall under, as each has different requirements. The third-party threat will also be addressed in NIS2 by pulling in managed service providers (MSPs) to the list of ‘critical entities’, with the aim of keeping digital supply chains secure. MSPs are often granted privileged access to clients’ corporate systems and networks, which creates security risks. What are the consequences of non-compliance? Organizations that come under the regulations’ purview will be subject to random checks, regular security audits, on-site inspections, and off-site supervision. For those found to be in breach, sanctions could include warnings, temporary suspension of certain activities, and temporary prohibition to exercise certain managerial functions. Financial penalties could be as high as 10 million Euros or 2% of an organization’s global turnover, whichever is higher. What steps should healthcare organizations take now? Organizations should take action to establish whether the EU or UK NIS2 regulations will apply to them and what their responsibilities will be. Having identified any gaps in existing cybersecurity processes, policies, and practices, they must determine what changes need to be made to address them. As a priority, they must review their incident response plans and incident management and reporting procedures. It’s also a good idea to begin assessing the security posture of partners and third parties in the supply chain and incorporating relevant security requirements into contracts. Given the framework’s focus on protecting privileged admin accounts, organizations should implement controls limiting the number of staff members with these robust credentials. Implementing privileged access management (PAM) will allow IT to control who is granted access to which systems, applications, and services, for how long, and what they can do while using them. Preparing for the introduction of the EU NIS2 regulations should be considered more than just a compliance exercise. By meeting the strengthened requirements, healthcare organizations will be building a foundation of resilience that protects them, their customers, and the essential services they provide.
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Health Technology, Digital Healthcare
Article | August 16, 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 | September 7, 2023
Government bodies have organized vaccination drives from the days of paper, pen and file folders. Nations across the globe have successfully run vaccination programs on a large scale.
In countries such as India, with the second-largest population, a vaccination campaign to eradicate polio was delivered at specified centers and going door-to-door. India was declared officially polio-free in March 2014. All without technology!
Routine vaccination administration has always been either by a scheduled or walk-in appointment. Vaccinating populations for polio, smallpox or similar diseases has always been a part of a multi-year plan for governments.
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Health Technology
Article | July 6, 2022
In 2021, the introduction of Amazon Care marked the first time a prominent technology firm stepped into the healthcare services industry. The fact that Amazon filed paperwork to offer care in multiple states without much fanfare is intriguing. In March 2021, the company confirmed the details of its new services, announcing that it would be delivering the services through an independent private medical practice called Care Medical.
The move may signify another diversification for Amazon, but what does it mean for the healthcare services landscape?
The Highlights of Amazon Care’s Services
Home healthcare
Amazon announced that it would be participating in an advocacy group for home healthcare. The Moving Health at Home initiative aims to transform how policymakers view the home as a site to deliver clinical services. Amazon Care may be riding on the trend for home care that has been evolving in the form of remote patient monitoring for post-acute care management and chronic care.
Employer-oriented offering
Amazon Care aims to become a workplace benefit partner for employers. One of the pain points it is directly addressing is the challenge of runaway inflation that increases healthcare costs.
Virtual care simplified
The most significant offering that Amazon Care plans to lead with is virtual care that promises to reduce wait times for quality patient care to under 60 seconds. It also includes the option to access 24-hour care services through messaging and video calling. In addition, it eliminates unnecessary traveling and long wait times by delivering care in the comfort of the patient’s home.
The Path Ahead
Amazon is known for introducing a slew of initiatives in the health and fitness sector, like the Halo wearables, a data management product called Amazon Health Lake, and a healthcare delivery system called Haven, which doubled over in 2021 after a three-year run. However, the tech juggernaut is not about to stop attempting to disrupt healthcare services. Only time will tell whether Amazon Care finally proves to be a feather in Amazon’s healthcare cap or another ambitious project that bites the dust.
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