Healthtech Security
Article | August 31, 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
Article | September 12, 2023
As consumers, we crave convenience and simplicity, and across an array of industries, technology has made it increasingly easy to search for and purchase products and services. From getting a pizza delivered to buying a car online, the process often involves entering a few pieces of information, hitting send, and waiting for a confirmation email.
A Changing Landscape
Unsurprisingly, people want this same level of convenience and simplicitywhen they're seeking care. This change in consumer demand for convenience is further compounded by fundamental shifts in the healthcare ecosystem. Among these shifts are cost-sharing models that have increased patient out-of-pocket expenses, healthcare systems that are increasingly shifting toward delivering value-based care, and innovations in digital health solutions.
While patients want to play an active role in managing their well-being, that is often easier said than done in a system that uses a combination of manual processes and non-integrated point solutions to try and meet consumer demand. Disparate and burdensome methods of managing patient engagement often lead to inefficiencies within provider organizations, resulting in missed appointments, increased registration and eligibility-based denials, incomplete payments, higher collections and write-offs, and low patient satisfaction.
Consumer Dissatisfaction
Healthcare consumers today feel like they're fighting an uphill battle. According to Change Healthcare's 2020 Harris Poll Consumer Experience Index, 67% of respondents agreed that it “feels like every step of the healthcare process is a chore.” A similar percentage, 62%, agreed that “the healthcare system feels like it is set up to be confusing.”
Furthermore, if consumers don’t receive the level of convenience and digitization they want from their current provider, they’re more than willing to seek it out elsewhere. In a recent Black Book survey, 80% of respondents indicated they would be willing to change providers for more convenience even if they were receiving good care from their current provider. An even higher percentage of patients,90%, do not think they have to continue seeing a provider if that provider does not “deliver an overall satisfactory digital experience.”
A Patient-Centric Approach
Improving the patient experiencestarts with humanizing revenue cycle management(RCM) —the administrative process that takes the patient from registration and appointment scheduling to the final payment of a balance. Simply making administrative touchpoints self-service and easy to understand throughout the patient’s financial journey can help humanize revenue cycle management for providers.
How is that possible? By thinking about the patients’ side of the administrative process and leveraging innovative technologies like artificial intelligence, robotic process automation (RPA), natural language processing (NLP), and machine learning. The more that providers’ staffs are able to automate repetitive tasks, the more time they're able to spend helping provide a seamless patient engagement journey that is focused on a patient’s specific needs. In other words, reducing human intervention throughout our technologies allows providers to infuse more human interaction with each patient as they navigate their healthcare journey.
According to Change Healthcare’s 2020 Harris Poll Consumer Experience Index, what patients really want is a retail-like shopping experience with modern, streamlined communication, as thevast majority (81%) agreed that “shopping for healthcare should be as easy as shopping for other common services” via a streamlined access point online. A clear majority (71%) also said they want their health insurance and healthcare providers (68%) to communicate with them using more-modern platforms.
Simplified Scheduling and Payment
The entire clinical-care journey is focused on the specific needs of the patient rather than the provider, so why shouldn’t the patient’s financial journey be handled the exact same way? From a patient-satisfaction perspective, patients are not separating their clinical journey from their financial journey, so providers should start viewing it the same way.
It should be easy to schedule an appointment and modify that appointment if needed. Patients should have to (securely) provide their personal and insurance information only once (digitally and in advance), then be squared away when they show up for their appointment with their provider. In addition, because of COVID-19 and the heightened awareness surrounding personal interaction, it’s important to provide patients with no-contact check-in and waiting room options.
By humanizing RCM, providers can achieve a cohesive end-to-end journey that allows patients to quickly and easily get the care they need complete with clear communication, price transparency , and a provider who truly takes the time to understand their unique situations. By putting the patient back at the center of their care journey, providers can improve care outcomes while also driving maximized business outcomes for their organizations.
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Health Technology, AI
Article | July 18, 2023
Stay at the forefront of the digital healthcare revolution by mastering EHR analytics. Discover the top EHR certifications that provide comprehensive training and industry-recognized credentials.
As healthcare organizations increasingly embrace digital solutions, the demand for skilled professionals well-versed in EHR analytics continues to soar. Numerous certifications and courses have emerged to meet this demand, offering comprehensive training and industry-recognized credentials.
This article delves into the top EHR certifications and courses, exploring their unique features, advantages, and opportunities for professional growth and advancement.
1. Certified Electronic Health Records Specialist
By pursuing this course, participants will gain knowledge and practical skills in EHR, medical billing & coding, anatomy & physiology, medical terminology, medical law and ethics, and health insurance in the United States. This electronic health record specialist certification includes hands-on exercises using specialized software to create patient records, generate lab reports, and take notes & codes. Furthermore, it emphasizes the legal aspects of patient confidentiality and the responsible disclosure of medical records, ensuring a solid understanding of privacy regulations and ethical obligations within the healthcare industry.
2. Deep learning in Electronic Health Records - CDSS 2
The course provides a comprehensive overview of the fundamental principles of electronic health records (EHR) while also addressing the challenges of applying time-series classification methods to EHR data, such as missing values and variable heterogeneity. Professionals will learn various imputation techniques and encoding strategies to handle these challenges effectively. Upon completion of the course, University of Glasgow awards a certificate. Additionally, this electronic health records certification explores the role of clinical decision support systems (CDSS) in analyzing data to aid healthcare providers in making informed decisions and improving patient care.
3. Introduction to Electronic Health Records
The course aims to provide an introduction to the field of digital health, covering essential concepts and definitions in this emerging area. It encompasses various vital topics, including Learning Health Systems, EHR, and a wide range of digital health technologies such as mobile applications, wearable devices, health information systems, telehealth, telemedicine, ML, AI, and big data. The EHR analytics course evaluates these technologies by examining the opportunities and challenges they present and the evidence of their effectiveness in the context of digital health, both globally and within public health and healthcare domains. This electronic health record certification includes a case study on using digital health technologies to address various aspects of the global response to COVID-19.
4. Interprofessional Healthcare Informatics
This course is offered jointly by the University of Minnesota and its National Center for Interprofessional Practice and Education. It provides a hands-on and interactive exploration of fundamental informatics tools and techniques, incorporating technology-enabled educational innovations to enhance the learning experience. The ten modules in the course will help participants create an online learning community and a functioning healthcare informatics network. The EHR analytics course covers multiple topics, such as emerging technologies, telehealth, gaming, simulations, and eScience. It aims to collectively imagine and shape the future of healthcare informatics within the rapidly evolving landscape. The course welcomes healthcare professionals and IT enthusiasts, encouraging a diverse and interdisciplinary approach to learning.
5. Certified Electronic Health Records Specialist
The Certified Electronic Health Records Specialist (CEHRS) course is a fully-online program designed to train individuals to become certified specialists in electronic health records. It equips participants with the necessary skills to navigate EHR systems and pass the CEHR certification exam. In this EHR certification program, professionals will learn essential tasks such as auditing patient records for compliance, extracting clinical information, coding for reimbursement claims, processing medical record requests, reviewing documents for accuracy, collecting patient data, and facilitating communication with healthcare professionals and insurance providers. The course focuses on hands-on experience with actual EHR software, provides an overview of EHR systems, emphasizes compliance with HIPAA regulations, explores various medical record components, and trains students to track vital patient information and report public health data effectively.
6. Electronic Healthcare Records Basics, Plain & Simple
This EHR analytics course emphasizes the critical role EHRs play in improving healthcare services. The course holds immense importance as it delves into topics such as the comparison between digital and paper patient records, definitions of EMR, EHR, and PHR, the necessity for a unified view of records, the critical components of EHR systems, perspectives from both patients and clinicians, technology-related challenges, the concept of meaningful use, and the impact of the 21st Century Cures Act in facilitating advancements in healthcare. By undertaking this course, participants will acquire comprehensive knowledge as well as an understanding of EHR systems and their potential for revolutionizing healthcare delivery.
7. Records and Health Information Management
This comprehensive EHR training certification program has been designed for professionals looking to advance their careers or seeking to stay up-to-date in the medical field and prepare for industry-standard certification exams. The course covers essential skills such as processing patient admission and discharge documents, accurately recording and maintaining information in the electronic medical record (EMR), understanding third-party reimbursement terminology and concepts, and utilizing computer hardware as well as software to enter and process data using medical record software. Learners can get an excellent opportunity to gain comprehensive insights into electronic health records and enhance career prospects in the healthcare industry.
Closing Lines
The EHR analytics certifications discussed in this article offer healthcare professionals invaluable opportunities for long-term success and growth in the evolving realm of healthcare informatics. By acquiring the necessary skills and knowledge through these programs, professionals can enhance their proficiency in managing and utilizing EHR systems, positioning themselves as highly sought-after assets within the healthcare industry.
The comprehensive EHR certification training provided by these certifications and courses not only equips individuals with the technical know-how but also grants them industry-recognized credentials that validate their expertise. This recognition opens doors to diverse career pathways, including positions in healthcare organizations, consulting firms, research institutions, and governmental agencies. Moreover, staying abreast of the latest developments in EHR systems through continuous education ensures professionals remain at the forefront of technological advancements, enabling them to adapt and thrive in a fast-paced digital healthcare landscape.
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Article | August 27, 2021
Everybody deals with stress and anxiety, however the key is to know what to do when you’re stressed out. It is not always easy to keep your feelings from getting the best of you.
With this in mind, here are seven tips that a person can use to help manage their daily stresses and anxieties before they get out of control.
1. Get all of the facts of the situation: Gathering the facts of a certain event can prevent us from relying on exaggerated and fearful assumptions. By focusing on the facts, a person can rely on what is reality and what is not. Most importantly, do not focus on your fearful thoughts when you’re stressed out.
2. Take a break: Sometimes, we get stressed out when everything happens all at once. When this happens, a person should take a deep breath and try to find something to do for a few minutes to get their mind off of the problem. A person could take a walk, listen to some music, read the newspaper, or do an activity that will give them a fresh perspective on things.
3. Carry a small notebook of positive statements with you: Another technique that is very helpful in managing fear is to have a small notebook of positive statements that makes you feel good. Whenever you come across an affirmation that relaxes you, write it down in a small notebook that you can carry around with you in your pocket. Whenever you feel depressed, open up your small notebook and read those statements.
4. You can’t predict the future: While the consequences of a particular fear may seem real, there are usually other factors that cannot be anticipated and can affect the results of any situation. We may be ninety-nine percent correct in predicting the future, but all it takes is for that one percent to make a world of difference.
5. Challenge your negative thinking with positive statements and realistic thinking: When encountering thoughts that make you fearful or depressed, challenge those thoughts by asking yourself questions that will maintain objectivity and common sense. Focus on the reality of your situation and not on your thoughts. Your fearful thoughts can make things worse so try to focus on something positive when you get anxious.
6. Divide your activities into separate steps: When facing a current or upcoming task that overwhelms you with a lot of anxiety, divide the task into a series of smaller steps and then complete each of the smaller tasks one step at a time. Completing these smaller activities will make the stress more manageable and increases your chances of success.
7. Take advantage of the help that is available around you: There are many individuals who have been expertly trained in the field of psychology to help you find ways to manage fear and anxiety. Seek out someone whom you trust to provide sound advice and guidance. This same professional can also help you create an action plan for dealing with your fears and anxieties in the future.
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