The Top Wellness Programs Most Employees Prefer: Weight Management, Smoking Cessation, and Mental Health

Health Technology

Article | September 12, 2023

There are times that we encounter negative thoughts that can be overwhelming. For some people, the more they try to get rid of their thoughts, the stronger they become. As a result, here is a brief list of techniques that a person can use to help manage their negative thinking. 1. Do not focus on your fearful thinking: The first thing a person must do is not to dwell on the fear provoking thought when it comes. The more a person tries to reason out on the fear behind the thought, the stronger it becomes. The next time you encounter a negative situation, get into the practice of not dwelling on it. 2. Think of a red stop sign: At times, a person might encounter a fearful thought that may be difficult to manage. When this happens, visualize a red stop sign which can serve as a reminder to think about something else. Regardless of how scary your negative thinking may be, do not dwell on it. This technique is great in dealing with your negative situations and depression. 3. Its only fear: The difference between an obsessive thought and a regular one is that an obsessive thought is based on fear. With this in mind, try to find the source of the fear behind your negative thinking and then find ways to get rid of your worries. 4. Your thoughts are exaggerated: Sometimes, a person may encounter a lot of scary thoughts coming at them all at once. Instead of getting upset, remember that your negative thinking is exaggerated with worry. Ignore the fear behind these obsessive thoughts, regardless how the strong the fear may be. 5. Challenge your negative thinking with positive statements and realistic thinking: When encountering thoughts that make you fearful or depressed, challenge them by asking yourself questions that will maintain objectivity and common sense. Focus on the reality of your situation and not on your negative thinking. 6. Carry a small notebook of positive statements with you: A person should keep a small notebook of positive statements that makes them feel good. Whenever they come across a positive and uplifting verse that makes them happy, write it down in a small notebook. A person can then carry this notebook around in their pocket and whenever they feel anxious, they can read their notebook. 7. Take it one day at a time: Instead of worrying about how you will get through the rest of the week or month, try to focus on today. Each day can provide us with different opportunities to learn new things and that includes learning how to deal with your situation. In addition, you will not feel overwhelmed with everything if you focus on one thing at a time. 8. Get help: Take advantage of the help that is available around you. If possible, talk to a professional who can help you manage your fears and anxieties. They will be able to provide you with additional advice and insights on how to deal with your current problem. By talking to a professional, a person will be helping themselves in the long run because they will become better able to deal with their problems in the future.

Health Technology, Digital Healthcare

Article | September 7, 2023

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.

Health Technology, Digital Healthcare

Article | July 14, 2023

Embark on a journey into the frontier of healthcare innovation in this article. Discover how EHR telemedicine and remote patient monitoring serve as catalysts, driving forward a new era in healthcare. Contents 1. Integration of EHRs in Telemedicine and Remote Patient Monitoring 2. Technical Challenges and Solutions in EHR Integration 3. Financial Analysis: Cost-Benefit Assessment of Integration 4. Data Privacy and Consent in Integrated EHR-Telemedicine Systems 5. Forging Stronger Patient-Clinician Relationships 1. Integration of EHRs in Telemedicine and Remote Patient Monitoring EHR telemedicine and remote patient monitoring have reshaped healthcare delivery by seamlessly integrating electronic health records, allowing healthcare providers and patients to exchange information effortlessly, regardless of geographical barriers. This synergy empowers healthcare professionals to access patients' comprehensive medical histories in real time, facilitating more informed decision-making during virtual consultations. During the spring of 2020, when pandemic restrictions kept most people in the US at home, the use of telehealth rose to about 51%. [Source: Elation Health] Moreover, it enhances the accuracy of remote patient monitoring by providing up-to-date data, enabling timely interventions and improving overall healthcare outcomes. Integrating EHR telemedicine systems enhances efficiency and ensures that patient care remains at the forefront of modern healthcare, transcending traditional physical boundaries. 2. Technical Challenges and Solutions in EHR Integration Navigating telehealth EHR integration and remote patient monitoring solutions uncovers a range of technical challenges, each with its own set of potential remedies. These include interoperability issues, which can be mitigated by adopting standardized data formats like HL7 FHIR. EHR interoperability solutions may involve using data exchange protocols such as HL7's Consolidated Clinical Document Architecture (C-CDA) or developing custom APIs to facilitate seamless data exchange between EHRs and telemedicine platforms. Additionally, the imperative need for data security and privacy is achieved through robust encryption and adherence to regulations like HIPAA or GDPR. Data integration challenges arising from varying EHR data storage methods can be resolved using middleware or integration platforms. Investing in telecom infrastructure and developing offline-capable telemedicine apps can address limited connectivity in remote areas. Ensuring real-time data access involves optimizing EHR databases and creating low-latency systems. Other challenges encompass integrating data from medical devices, ensuring data accuracy, scalability, user-friendly interfaces, regulatory compliance, and cost management strategies. 3. Financial Analysis: Cost-Benefit Assessment of Integration When contemplating the integration of EHR telemedicine and remote patient monitoring systems, conducting a comprehensive cost-benefit analysis is crucial. This assessment covers financial aspects, including initial implementation costs (software development, hardware upgrades, training, and data migration), ongoing operational expenses (maintenance and data storage), and potential efficiency gains (streamlined workflows and improved data accessibility). It also evaluates the impact on patient outcomes, satisfaction, and financial benefits of enhanced healthcare quality, reduced readmissions, and increased patient engagement. Healthcare organizations can estimate cost savings in remote patient monitoring and explore expanding telemedicine services to underserved populations to make informed financial decisions. Additionally, this analysis considers long-term financial viability and alignment with organizational goals, including regulatory compliance costs, risk assessment, scalability considerations, and the competitive advantages of integrated telemedicine services. By calculating ROI and assessing potential risks, healthcare entities can develop risk mitigation strategies, ensuring that EHR integration in telemedicine and remote patient monitoring enhances healthcare delivery and aligns with the organization's financial sustainability and long-term success. 4. Data Privacy and Consent in Integrated EHR-Telemedicine Systems Data privacy and obtaining informed consent are paramount in integrated EHR and telemedicine systems. Patients should provide explicit consent, understanding the data collected and its intended use, with strict encryption protocols safeguarding data during transmission. Access controls and data minimization practices restrict unauthorized access, while patient portals enable individuals to manage their data-sharing preferences and revoke consent if needed. Compliance with regulations such as HIPAA or GDPR is crucial, as is maintaining comprehensive audit trails to track data access. Training, awareness, and robust incident response plans fortify data privacy efforts, fostering trust and transparency in these integrated systems where healthcare organizations and patients share responsibility for secure data handling. 5. Forging Stronger Patient-Clinician Relationships Integrating EHR telemedicine and remote monitoring systems goes beyond mere efficiency and accessibility objectives. It serves as a catalyst for nurturing more substantial and meaningful patient-clinician relationships. This fusion of technology and healthcare has the capacity to bridge physical distances, allowing clinicians to truly understand and engage with their patients on a deeper level. Patients, armed with increased access to their health data, become more active participants in their healthcare, while clinicians, with their comprehensive information, can offer more personalized and informed guidance. The potential of EHR telemedicine reaches far beyond the digital screen; it empowers both patients and clinicians to collaborate in pursuit of improved health outcomes, ushering in a new era of patient-centric care grounded in trust, communication, and shared knowledge.

Article | December 15, 2020

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.