Healthtech Security
Article | August 31, 2023
Over the last couple of years, the healthcare industry has witnessed significant technological advancements transforming numerous procedures and treatments, ranging from magnetic resonance imaging scanners and radiotherapy to antibiotics and anesthetics.
In addition, the introduction of novel technologies (new pharmaceuticals and treatments, new equipment, new social media support for healthcare, etc.) has further provided air to the fire for innovation in the sector, encouraging healthcare providers to upgrade their technological infrastructure.
Medical Computers Paving the Way in Healthcare
Use of modern technology, such as medical computers, is becoming more and more crucial in healthcare institutions, including hospitals, clinics, and specialized treatment centers. These computers are used in hospitals for a variety of purposes, from better laparoscopic, minimally invasive surgical techniques used by surgeons to patient tracking and health monitoring gadgets.
Medical computers are becoming more prevalent as they help medical professionals make faster, more reliable, and more accurate decisions. Additionally, they enable the emergence of new data, integrate advanced technologies such as artificial intelligence, and enhance decision-making processes, which are particularly crucial when it comes to medical diagnostics and treatment. New computer and technology solutions in the healthcare sector are enabling a wide range of outcomes that were previously unimaginable. They assist medical practitioners in both data collection and data interpretation, enabling them to make decisions that are thoroughly informed by insight. Here are some of the applications that have experienced immense transformation in recent years
Hospital Information Systems
Medical Personnel and Staff Management
Data Analysis in Medicine
Medical Imaging
Computer-assisted Therapy
Laboratory Computing
Critical Patient Care
Computer Assisted Decision-making (CMD)
Patient Check-In and Status
Growing Adoption Encouraging Product Launches
With technologies like medical computers becoming essential for processing numerous day-to-day operations in the healthcare industry, the need for these computers is growing at a rapid pace. Hence, a number of medical equipment providers are emphasizing on offering cutting-edge solutions to modern healthcare facilities.
For instance, in 2021, American Portwell Technology, Inc., a world-leading innovator of the Industrial PC, unveiled two certification-ready all-in-one medical computers - MEDS-P2410-P200 (23.8″) and MEDS-P2210-P200 (21.5″) with features such as true-flat capacitive touchscreen and optional hot-swappable batteries.
Read More
Health Technology, Digital Healthcare
Article | July 14, 2023
Introduction
Over the past couple of years, there has been a substantial rise in the burden of chronic conditions and treatment costs, along with the growing elderly population, which is transforming the healthcare sector at a rapid pace. As per a study, healthcare spending across the globe is anticipated to reach an unprecedented value to total US$ 18.3 trillion by 2030. In response to these trends, volume-based payment models are being replaced by outcome- or value-based models.
Predictive analytics helps health organizations to get in line with these new models and improve patient care and outcomes. From predicting critical conditions such as heart failure and septic shock to preventing readmissions, the recent advancements in big data analytics are boosting the adoption of new predictive analytics solutions that aid clinicians improve outcomes and cut costs.
Predictive analytics in healthcare is most helpful with clinical care, administrative tasks, and managing operations. More importantly, the technology is already making a difference in a wide range of healthcare settings, from small private doctor's offices and large academic hospitals to healthcare insurance companies.
How is Growing Healthcare Data Favoring the Penetration of Predictive Analytics?
The growing inclination toward digitalization in the healthcare industry has led to the creation of huge new data sets. These include radiology images, electronic medical record (EMR) systems, lab results, and health claims data. The amount of data is expected to reach new avenues with increasing genomics and cytogenesis research data in the near future.
New data is being generated and collected by the novel medical devices at the edge, such as monitors and patient wearables. In addition, outside the healthcare setting, patients are generating quasi-health data through the use of health monitoring applications, fitness trackers, and personal wearable devices.
By using data from these sources, health care providers can find new ways to use predictive modeling for health risks, predictive analytics for medical diagnosis, and prescriptive analytics for personalized medicine.
Predictive analytics has become a crucial component of any strategy for health analytics. Today, it's an essential tool for measuring, combining, and making sense of biometric, psychosocial, and behavioral data that wasn't available or was very hard to get a hold of until recently. Here are some of the applications of predictive analytics for healthcare
Identifying Patients at Risk
Clinical Predictions
Disease Progression and Comorbidities
Predicting Length of Stay
Speeding Treatment of Critical Conditions
Reducing Readmissions
The Future Story
With the growing prominence of innovative technologies across the healthcare industry, a number of health IT providers are focusing on developing their own analytics software and engines to assist healthcare spaces deliver optimal patient care.
For instance, in 2020, Eversana, a U.S.-based provider of innovative solutions to the life sciences industry, announced the introduction of its ACTICS predictive analytics solution, which enables clinical spaces to combine multiple data sources into a single comprehensive system.
Also, some U.S. companies are partnering with healthcare institutions to develop proprietary algorithms designed to enhance organizational performance, improve clinical care, and increase operational efficiency. Such developments are projected to increase the popularity of predictive analytics solutions in the healthcare sector in the coming years.
Read More
Health Technology, Digital Healthcare
Article | August 21, 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.
Read More
Healthtech Security
Article | August 31, 2023
A wealth of evidence supports the health benefits of keeping pets: increased life span, exercise, improved mental health, and a sense of purpose. But for older adults and those with disabilities, the responsibilities and expense of owning an animal can be overwhelming, and caregivers are often forced to take on those burdens themselves. To make matters worse, dementia patients can pose a physical threat to live animals.
What alternate solutions exist for those who cannot safely or practically keep a live pet? Fortunately, information technology and robotics have advanced to the point that realistic, robotic emotional support pets are becoming a legitimate option. As research in this area advances, experts have found that robotic emotional support animals can offer a myriad of benefits similar to those associated with live pets. Robotic companions can also help caregivers.
Robotic Emotional Support Animals in Practice
Imagine the following scenario: An elderly woman with dementia suffering from Sundowner’s Syndrome relies on a strict daily regimen established by her caregiver. This routine is a delicate dance, balancing the patient’s meals, medication, and personal care, all designed to keep her as relaxed as possible.
One afternoon, as the caregiver prepares dinner, the caregiver realizes that the patient’s beloved dog is nowhere to be found. She runs outside to look for the dog, leaving the patient to fend for herself. The patient is agitated over her missing dog and suddenly alone in a kitchen with pots and pans boiling.
Fortunately, the caregiver finds the dog outside, but the patient is now too overwhelmed to eat or take her medication. Despite the caregiver’s best efforts at redirection, it’s a rough evening for everyone.
How a Robotic Emotional Support Animal Can Ease the Role as Caregiver
As any experienced caregiver knows, consistent emotional support for patients is critical. A robotic emotional support animal can significantly ease a caregiver’s role in this respect. Robotic companions replicate many benefits traditional pets provide – affection, responsiveness, and companionship – without the associated caregiving demands, such as feeding walking, or veterinarian visits.
The Benefits of Robotic Emotional Support Animals
The owners of pets are known to enjoy
Reduced impact of depression
Lower blood pressure
Reduced triglycerides and cholesterol
Longer survival rates after a heart attack
30% fewer doctor visits after age 65
Longer life spans
Robotic companion animals provide genuine comfort, mirroring the emotional connection that living pets provide while lightening the caregiver load. Uplifting conversations about the robot companion elevate the moods of both patient and caregiver, potentially reducing feelings of burnout. In embracing such technology, senior care and assisted living facilities can foster an environment that makes staff and residents all smile a little more.
Read More