Healthtech Security
Article | August 31, 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!
Read More
Health Technology, Digital Healthcare
Article | August 21, 2023
Combating stress and anxiety can be a major challenge these days, but there are certain behaviors that contribute to those feelings, and you can take action right now to stop them and focus on your wellbeing. By taking a look at the way you react to others, how you practice self-care, and what kind of attitude you approach new tasks with, you can make some positive changes to your lifestyle that affect both your personal and professional lives.
Stop stressing over your current job
Almost everyone experiences job-related stress at some point in their lives, but when those feelings become overwhelming, it may be time to consider your options, according to Zenbusiness.com. Those in corporate positions and high-level management often cope with the most stress or anxiety due to the number of people they have working under them. If you find yourself bringing home feelings of irritability, or if you suffer from insomnia or a lack of focus during the day, take a look at open positions elsewhere and think about how much moving on could help you maintain a higher level of mental health. It can be scary to think about making such a major life change, but you’ll never know what possibilities lie out there if you don’t take a leap.
Stop competing with others
While some competition in the business world is a healthy motivator, other types can leave you feeling terrible about yourself. Rather than comparing your lifestyle or achievements to someone else’s, try to practice gratitude each day by using mindfulness techniques that allow you to focus on your own actions. Focus on your strengths and remind yourself that you’re doing the absolute best you can each day. Make it a point to congratulate others on their achievements, especially your coworkers, and do what you can to build others up. When it comes to social media, remember that the things we share only give a glimpse into the whole story, and that comparing your life to another’s can be detrimental to your mental wellbeing.
Stop ignoring your physical needs
While your mental wellbeing is obviously an important focus, it’s also crucial to think about how you can make sure your body is getting everything it needs. Working a corporate job often means sitting stationary at a desk for long hours, working through lunch hours, or working at home even after you’ve clocked out for the day. Allow yourself to rest by setting boundaries once you’re home, and give yourself the tools to get better sleep by creating an end-of-day routine that will help you relax and prepare to let the workday go. Eat plenty of lean protein and leafy greens to keep your energy up, and make it a point to get up and move around at work. You might also invest in a standing desk, as those come with multiple health advantages for individuals who spend much of the day sitting.
Stop dreading the new week
It can be helpful to set some boundaries where work is concerned, but it’s also important to get organized in order to banish that dread you feel on Monday morning. Facing a busy week can bring on stress and anxiety that leaves you feeling unprepared, but if you take the time to write out a to-do list on Friday, you can jump right in at the beginning of the week without feeling frazzled. It can also help to have something to look forward to, such as promising yourself a little treat once you get a certain amount of work done. Staying productive can be a big help, so if you have time left toward the end of the day and there’s a small task still to be done, don’t let your desire to leave early on a Friday afternoon take over. Finishing up can give you a sense of satisfaction and will keep you from feeling overwhelmed once the new week starts.
Stop saying yes to everything
Another behavior that leads to feeling overwhelmed is saying “yes” to anyone who asks for your time or energy. You may feel that doing so contributes to a helpful, team-oriented atmosphere at work, but it becomes a problem when you take on too much without focusing on your own needs at least part of the time. Learning how to diplomatically say no when you can’t take on any more responsibilities is a form of self-care that can banish stress and allow you to focus on your own needs without feeling guilty.
Letting go of stress, anxiety, and poor health habits can take some time, but by creating some new routines you can learn new habits that help you tackle anything life throws your way. Write down a strategy that encompasses your daily schedule, and get organized both at work and at home for maximum mental health benefits.
Read More
Health Technology, Digital Healthcare
Article | July 14, 2023
Unlock EHR interoperability solutions with this article. Discover how healthcare overcomes EHR interoperability challenges to facilitate seamless information sharing for better clinical decisions.
1. Exploring Hurdles in EHR Interoperability
2. Addressing EHR Interoperability Challenges: Mapping Effective Paths
2.1 Upgrading from Outdated Legacy Systems
2.2 Managing Inconsistent Information Across Multiple Sources
2.3 Overcoming Organizational Resistance to Sharing Data
2.4 Balancing Security and Consent
2.5 Harmonizing Data Standards Across Diverse Software Systems
2.6 Optimizing Training Resources for EHR Interoperability
2.7 Strategizing Costs for Specialist-driven Interoperability Management
2.8 Navigating Budget Constraints in EHR Interoperability
2.9 Unifying Patient Identification Standards Across HIEs
2.10 Advancing Allergy Management to Enhance Patient Care
3. Embracing Interoperability for a Connected Healthcare Future
1.Exploring Hurdles in EHR Interoperability
Despite significant efforts and investments in health information systems and technology, coupled with many years of widespread availability, the full benefits of electronic health records (EHRs) still need to be realized. The reality is that most physicians continue to rely on faxing and mailing patient records, just as they did a decade ago. Numerous government-certified EHR products are being used, each utilizing distinct clinical terminologies, technical specifications, and functional capabilities. These differences make it challenging to establish a unified standard interoperability format for data sharing. Interestingly, even EHR systems built on the same platform might not be interoperable, as they are frequently highly customized to an organization’s specific workflow and preferences. Given these circumstances, the article examines ten challenges and their corresponding EHR interoperability solutions to enhance patient care.
2.Addressing EHR Interoperability Challenges: Mapping Effective Paths
The primary goal of healthcare interoperability is to enable seamless sharing of health-related information between healthcare providers and patients, aiding in clinical decision-making. Here are several challenges to accomplishing this aim, along with their corresponding interoperability solutions:
2. 1 Upgrading from Outdated Legacy Systems
One of the significant challenges in achieving EHR interoperability is the need to transition from outdated legacy systems. Many healthcare facilities still rely on older, proprietary EHR systems that need more compatibility and standards to communicate seamlessly with modern, interconnected healthcare networks. These legacy systems often need more data exchange capabilities, leading to inefficiencies, data inconsistencies, and barriers to collaborative patient care. The intricate process of upgrading or replacing these systems while ensuring data integrity and continuity of care poses a considerable obstacle to achieving comprehensive EHR interoperability.
Healthcare institutions need to implement a strategic and phased approach to address this challenge. This involves assessing the existing EHR, identifying interoperability gaps, and selecting modern healthcare interoperability solutions that adhere to industry standards, such as Fast Healthcare Interoperability Resources (HL7 FHIR) and open APIs. A well-defined migration plan should be developed, including data migration, new system integration, and staff training. Collaboration with EHR vendors, IT experts, and clinical stakeholders is crucial to ensuring a smooth transition.
2.2 Managing Inconsistent Information Across Multiple Sources
As patients move through different healthcare settings and encounter various medical professionals, their health information becomes distributed across multiple sources, leading to discrepancies, duplications, and variations in data. This inconsistency can compromise patient safety, treatment accuracy, and healthcare quality. Furthermore, different institutions' varying data formats, coding systems, and documentation practices exacerbate the challenge of creating a unified and accurate patient record.
A potential solution to this challenge involves developing and adopting standardized data exchange protocols. By implementing common data standards and practices, healthcare providers can ensure that patient information is accurately represented and uniformly understood across different systems. In addition, robust data validation processes and reconciliation algorithms can help identify and rectify inconsistencies during data integration. Moreover, creating a centralized patient identity management system that links various patient records to a single, accurate identity can significantly mitigate the issue of duplicated or mismatched information.
2.3 Overcoming Organizational Resistance to Sharing Data
This EHR interoperability challenge pertains to the reluctance of healthcare institutions, clinics, and providers to readily exchange patient information and medical records due to concerns over data privacy, competitive advantage, and operational complexities. This resistance often leads to fragmented patient care, hindered medical research, and compromised clinical decision-making.
Addressing this challenge necessitates the establishment of clear data-sharing protocols, robust privacy safeguards, and incentivized collaboration. By fostering a culture of trust, emphasizing the collective benefits of data exchange, and implementing interoperability standards, the healthcare ecosystem can encourage reluctant organizations to actively share essential patient data, ultimately leading to improved patient outcomes and more efficient healthcare delivery.
2.4 Balancing Security and Consent
This challenge in EHR interoperability revolves around the delicate equilibrium between ensuring patient data security and privacy while enabling the seamless sharing of EHRs across different healthcare systems. Striking the right balance involves addressing concerns about unauthorized access, data breaches, and patient consent preferences. While robust security measures are necessary to safeguard sensitive health information, overly stringent restrictions can hinder the efficient exchange of vital medical data, potentially impeding timely and informed patient care, medical research, and healthcare system efficiency.
Potential EHR interoperability solutions to this challenge include implementing a layered security and consent management approach. This involves combining strong encryption, authentication protocols, and access controls to ensure the integrity and confidentiality of EHRs. Moreover, the adoption of standardized and granular consent mechanisms empowers patients to regulate both access to their data and the purposes for which it can be accessed. An integrated framework that employs advanced technologies like blockchain for secure audit trails and data-sharing logs can enhance transparency and accountability. Furthermore, patient education and awareness campaigns can empower individuals to make informed data-sharing decisions, fostering a collaborative environment where security, consent, and interoperability coexist harmoniously.
2.5 Harmonizing Data Standards Across Diverse Software Systems
This challenge encompasses integrating and exchanging medical data across various software platforms and applications used within the healthcare industry. To tackle this challenge, a comprehensive solution includes the widespread adoption and adherence to standardized data formats, coding conventions, and communication protocols by developers, healthcare organizations, and EHR integration software.
To address this challenge, a comprehensive solution involves the establishment of standardized data formats, coding conventions, and communication protocols widely adopted and adhered to by EHR software developers and healthcare organizations. This could be achieved through industry collaboration, government regulations, and incentives for adopting interoperability standards. Additionally, implementing APIs that translate and map data between different formats can help bridge the gap between diverse software systems.
2.6 Optimizing Training Resources for EHR Interoperability
This hurdle involves preparing healthcare professionals, IT staff, and other stakeholders to effectively navigate and implement interoperable EHR systems. Ensuring that healthcare personnel possess the necessary skills and knowledge to seamlessly integrate, maintain, and utilize interconnected EHR systems amidst rapidly evolving technology and standards poses a significant hurdle. This challenge involves understanding the intricacies of interoperability protocols and grasping the broader context of data security, patient privacy, and efficient data exchange among diverse healthcare entities.
To address this challenge, developing comprehensive and up-to-date training programs that cover both technical aspects (interoperability standards, APIs, and data formats) and practical considerations (security protocols, data governance) is crucial. Collaborations with vendors, industry experts, and academia can ensure the training content remains aligned and updated with current EHR trends. Integrating EHR interoperability education into medical and IT curricula can also lay a foundation for future professionals. Continuous learning opportunities, including EHR analytics courses, certifications, and knowledge-sharing platforms, can further bolster the continual development of skills and knowledge exchange. This process cultivates a skilled workforce capable of fully leveraging EHR interoperability while upholding the integrity and privacy of patient data.
2.7 Strategizing Costs for Specialist-driven Interoperability Management
This challenge pertains to the complex and costly task of ensuring seamless data exchange among diverse EHR systems, mainly when managed by specialists with domain-specific knowledge. These specialists play a crucial role in tailoring EHR interoperability solutions to the unique needs of their medical domains. Still, the financial implications of such endeavors can be substantial, involving customization, integration, and maintenance expenses.
Finding an effective solution requires a multi-faceted approach involving standardized interoperability frameworks, modular system design, strategic resource allocation, and collaborative partnerships among EHR vendors, healthcare institutions, and specialists. By optimizing the balance between customization and standardization and leveraging technological advances like APIs and cloud computing, healthcare ecosystems can mitigate costs while achieving efficient and secure data exchange that benefits patients and healthcare providers.
2.8 Navigating Budget Constraints in EHR Interoperability
This issue relates to healthcare organizations' significant financial limitations when striving to establish seamless EHR data exchange across disparate systems. As healthcare entities aim to enhance patient care coordination and data accessibility, the cost of implementing and maintaining interoperable EHR systems becomes a substantial hurdle. This challenge necessitates a delicate balance between allocating resources for EHR integration, customization, and ongoing maintenance while ensuring that patient data remains secure and accessible to authorized stakeholders.
A possible avenue to deal with the budget constraints in EHR interoperability is the strategic adoption of open-source frameworks. By leveraging open-source solutions, healthcare organizations can reduce licensing fees and development costs associated with proprietary systems, allowing them to allocate resources more efficiently. Additionally, collaborating with industry consortia and governmental initiatives that promote standardized data exchange protocols can foster economies of scale, streamlining the implementation process. Moreover, investing in cloud-based technologies can offer scalable and cost-effective data storage and sharing infrastructure.
2.9 Unifying Patient Identification Standards Across HIEs
The crux of this issue involves the need for consistent patient identification methods across different healthcare systems and data-sharing networks. This inconsistency results in errors, data duplication, and compromised patient safety as information is exchanged between entities. Without a standardized patient identification system, accurate matching of patient records becomes a complex endeavor, hindering the seamless exchange of EHRs and undermining the potential benefits of interoperability.
To address this challenge, a comprehensive solution involves establishing and adopting a universally recognized patient identification standard that spans all participating HIEs. This standard could include using unique patient identifiers or a combination of demographic, biometric, and cryptographic identifiers to ensure accurate and secure patient matching. Additionally, implementing advanced data governance practices, strong privacy protections, and robust data validation algorithms would enhance the accuracy and security of patient identification. Collaboration between healthcare organizations, government agencies, and technology experts is crucial to developing and implementing this standardized approach, fostering a more interconnected and effective healthcare ecosystem while safeguarding patient privacy and data integrity.
2.10 Advancing Allergy Management to Enhance Patient Care
Healthcare providers need help seamlessly sharing allergy-related patient data across different EHR platforms, hindering comprehensive patient care. This lack of interoperability leads to fragmented information, potential medication errors, and compromised treatment decisions, ultimately impacting patient safety and outcomes.
One viable solution for addressing this challenge is to establish standardized data exchange protocols alongside a unified health information exchange framework. Implementing FHIR standards can enable the consistent and secure sharing of allergy information among EHR systems. Additionally, incentivizing healthcare organizations to adopt these interoperability EHR standards and invest in compatible technologies will promote a cohesive ecosystem where allergy data can be accurately and swiftly exchanged. Collaborative efforts among EHR vendors, healthcare providers, and regulatory bodies are essential to ensure the seamless flow of allergy-related information, resulting in enhanced patient care, reduced medical errors, and improved healthcare efficiency.
3.Embracing Interoperability for a Connected Healthcare Future
With the goal of a cohesive healthcare future in mind, the value of embracing interoperability is immeasurable. This article highlights the essential role of interoperability in overcoming the challenges posed by fragmented data and improving patient outcomes. As healthcare systems continue to develop, the smooth exchange of EHRs becomes crucial, fostering collaboration among diverse stakeholders and facilitating well-informed decision-making. By creating an environment in which EHRs can seamlessly communicate, healthcare providers have the potential to offer more comprehensive, patient-centered care, minimize duplication, and expedite both diagnoses and treatments. Although achieving an interoperable healthcare ecosystem may involve complexity, the benefits of efficiency, precision, and overall quality of care underscore its necessity as a transformative journey.
Read More
Healthcare Analytics
Article | May 11, 2022
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.
Read More