Courses

Explore the vulnerabilities of IoT medical devices and their potential impact on health record security in this Derbycon 2018 conference talk. Delve into connected healthcare devices, medical device classifications, and data flow architectures. Examine real-world horror stories like MEDJACK and MEDJACK2, and follow the speakers' journey as they investigate a purchased PDA. Learn about wireless setting manipulation, telnet observations, and traffic analysis. Discover fuzzing techniques, privilege escalation methods, and how to access encrypted patient data and prescriptions. Gain insights into the importance of built-in security measures for IoT medical devices and understand the potential consequences of inadequate protection for sensitive health information.

Know all about Healthcare IT What you'll learn: This course ensures IT professionals have the knowledge and skills needed to succeed in installing, managing and troubleshooting IT systems in medical and clinical settings.Healthcare IT technicians are essential in maintaining a high quality of care to patients in hospitals. As an IT professional working at a hospital, it’s easy to get overwhelmed with unfamiliar medical terminology and patient confidentiality requirements. CompTIA’s Healthcare IT Technician course dives into the hospital-based IT systems and focuses on the medical jargon you’ll be working with. CompTIA Healthcare IT Technician puts you in a high-growth job market. Employment of health IT professionals is expected to increase by 20 percent through 2018, according to the Bureau of Labor Statistics. The U.S. government estimates that we will need more than 50,000 health IT workers to help medical providers with electronic medical records. Help desk technicians in healthcare environments earn $40,000 per year on average. The average annual salary for an implementation support specialist, an IT professional able to implement, deploy and support healthcare IT systems, is $71,000. **This course is only for knowledge, not attached to any certification exam.**

The Medical Administrative Assistants and Office Procedures course is a beginner-level course focusing on critical administrative functions – including compliance, patient intake, and medical records management – in three lessons. In the HIPAA and HITECH lesson, students gain an understanding of the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health (HITECH) Act. The lesson covers essential regulations regarding patient privacy, confidentiality, and the secure handling of health information. The Patient Intake and Processing lesson focuses on compiling demographic, insurance, and medical history information. Students will learn the procedures for creating patient records, verifying insurance coverage, and navigating electronic health records (EHR) systems. The Managing Medical Records lesson teaches the critical aspects of medical record keeping, including filing, retrieving, and maintaining both paper and electronic records. The lesson covers legal requirements, patient confidentiality, and best practices for ensuring that medical records are accurate, up-to-date, and easily accessible to authorized personnel. By the end of the course, students will be well-equipped with the knowledge and practical skills to manage the day-to-day office operations of a medical practice, with a special focus on patient processing, record management and regulatory compliance.

Health Information Technology HIT What you'll learn: Electronic Health RecordsMedical Billing & Coding for the EHRAnatomy & PhysiologyMedical TerminologyMedical Law and EthicsHealth Insurance in the United States The Electronic Health Records Program is designed to provide students with the skills necessary for entry-level positions in a medical office, hospital, insurance office, or any type of medical facility utilizing EHR. Students will be exposed to real-world exercises using software to create patient records, lab reports, notes, and code setting. Additionally, students will gain a solid understanding of the legal aspects of patient confidentiality and disclosure of medical records.The completion of a certificate-level program does not typically qualify a student for employment. Completion of this program may assist students who have no previous medical experience or work-related experience improve their chances for entry-level employment.

Welcome to the Data and EHRs in Ambulatory Healthcare Management course! In this course, you will explore the crucial role of data and electronic health records (EHRs) in the realm of ambulatory healthcare management. This course provides you with a comprehensive understanding of healthcare data basics, data integrity and management, HIPAA regulations, and the utilization of EHRs in various aspects of healthcare operations. This course is designed for those with little to no background in healthcare, and is perfect for beginners and those interested in learning more about this field. By the end of this course, you will have a comprehensive understanding of healthcare data fundamentals, data integrity and management principles, HIPAA regulations, and the utilization of EHRs in ambulatory healthcare management. Start your journey to enhancing your knowledge and skills in leveraging data and EHRs to drive improved patient care, operational efficiency, and data-driven decision-making in ambulatory healthcare settings.

Use this helpful online test preparation course to get ready for the MLT (ASCP) Medical Laboratory Technician exam. Inside, you'll find short lessons and practice quizzes that go over all of the concepts you'll need to know for this certification test.

Health 103: Medical Terminology has been evaluated and recommended for up to 3 semester hours and may be transferred to over 2,000 colleges and universities. The course's expert instruction, engaging lessons, short quizzes and exams can help you comprehend medical terminology and set you on a degree path.

Explore the critical role of blockchain technology in safeguarding healthcare data and privacy in this 52-minute talk from The Aspen Institute. Discover why medical records are highly valuable targets for cybercriminals, with stolen health information worth over $1,000 per record compared to mere cents for financial data. Learn about the various ways hackers exploit medical records for identity theft, insurance fraud, and drug procurement. Examine the growing cybersecurity threats facing the healthcare industry and understand how blockchain technology is emerging as a leading solution to protect patient privacy, identity, and financial security. Gain insights from speaker Shada Alsalamah on the potential of blockchain to revolutionize data protection in healthcare and discuss strategies for individuals and organizations to better secure sensitive medical information in the face of evolving cyber risks.

In the era of Electronic Health Records, it’s possible to examine the decision outcomes made by doctors and identify patterns of care by generating evidence from the collective experience of patients. In this webinar, Stanford Assistant Professor Nigam Shah will show you methods that transform unstructured patient notes into a de-identified, temporally ordered, patient-feature matrix. Four use-cases will be examined, which use the resulting de-identified data matrix to illustrate the learning of practice-based evidence from unstructured data in electronic medical records. This webinar will teach you the practical value of: Monitoring for adverse drug events Identifying drug-drug interactions Profiling the safety of off-label drug usage Generating practice-based evidence for difficult-to-test clinical hypotheses.

Explore the potential of foundation models for Electronic Health Records in this informative conference talk from the Computational Genomics Summer Institute. Delve into Jeffrey Chiang's insights on the challenges and opportunities in applying large language models to healthcare data. Examine the limitations of current approaches, as discussed in related research papers, and learn about innovative solutions such as using clinical pseudo-notes for emergency department decision support. Gain a deeper understanding of the complexities involved in developing robust AI models for electronic health records and their potential impact on improving patient care and clinical decision-making.

Clinicians and healthcare professionals are increasingly burdened by Electronic Health Records (EHRs)—navigating complex interfaces, documenting care manually, and missing key insights in siloed data. Generative AI offers a practical path forward. This course shows you how to integrate GenAI tools into your EHR workflows to reduce documentation time, streamline operations, and improve patient care—without waiting on your EHR vendor. In just 4 hours, you'll move from foundational concepts to hands-on application using tools like Glass Health, DoraScribe, and Keragon. You’ll explore voice-to-text SOAP notes, AI-generated patient education, no-code automation, and strategies for safe, scalable AI governance in clinical settings. Ideal for physicians, nurses, administrators, and clinical coders, this course equips you to deploy AI responsibly—boosting efficiency, enhancing communication, and laying the groundwork for long-term digital transformation in healthcare.

Elevate your health record management skills with Taipei Medical University. Dive into a six-week adventure with Taipei Medical University, where you’ll explore the fascinating world of health record management. This course will guide you through the intricate landscape of electronic health record (EHR) integration, spotlighting ways to boost efficiency and safeguard data security. Discover the future of health record management You’ll pick up practical insights that empower you to elevate patient information systems and cement data integrity. By the course’s end, you’ll walk away with a toolkit of strategies to refine healthcare information systems and bolster patient care like a pro. Unpack AI and data science in healthcare Kick off your learning with the essentials of artificial intelligence (AI) and data science, tailored for the healthcare realm. Through engaging examples and compelling case studies, you’ll see these technologies in action and consider their ethical implications. Join the conversation on how AI and data science are reshaping healthcare, uncovering their advanced applications and the hurdles they face. Master effective data management in hospitals Peek into the pivotal role of data management in hospitals, navigating the nuances of collecting, storing, and accessing healthcare data. Your learning will focus on maintaining data integrity and accessibility, while also tackling challenges like scalability, interoperability, and security. You’ll get the download on data governance and staying compliant with regulations. Explore Taiwan’s medical database management systems Wrap up your learning by exploring Medical database management systems within Taiwan’s healthcare framework. Gain insight into Taiwan’s system’s unique challenges and groundbreaking innovations. This course is designed for healthcare professionals, IT specialists, and anyone keen on enhancing their expertise in electronic health records, AI applications, and data management within the healthcare industry. It’s ideal for those looking to drive tech innovation in healthcare.

In this course you will receive an overview of the health IT ecosystem with a specific focus on the role of electronic health records (EHRs). You’ll be introduced to the factors that contributed to the move from paper records to digitized records and who the most common vendors are. We’ll go over features of EHRs such as computerized provider order entry, clinical decision support, documentation capabilities, and medication reconciliation. Like a physician’s stethoscope, the EHR has become an important tool in healthcare delivery and plays a part throughout the patient’s journey. You’ll go through each of the steps from patient scheduling, to front desk registration, outpatient visits, emergency room encounters, and inpatient admissions. During the course, we’ll also cover examples of how technical issues related to the EHR can be as simple as problems with logging or password resets. But how they can also be more complex related to alerts that are firing and the display of information. Although some of those challenges are beyond the scope of the IT support staff, having familiarity with the scope of potential problems and the broader EHR landscape is important. This course also includes an introduction to database architecture, servers, and interfaces. We wrap up by discussing the importance of training end-users on healthcare technology and the way in which effective change management strategies are crucial.

This study guide and practice course offers a flexible learning format for those preparing to take the Construction Health and Safety Technician (CHST) Exam. Short video lessons, practice quizzes and exams can help you achieve a high test score.

Join this informative Grand Rounds session with Dr. Saptarshi Purkayastha that explores the transformative integration of Electronic Health Records (EHRs) with analytics tools in health informatics education and clinical practice. Discover how to analyze patient data patterns to identify population health trends and treatment outcomes, execute secure queries across EHR databases while maintaining privacy and data security, and design automated reporting workflows that integrate EHR data with analytics dashboards to support evidence-based decision-making. This one-hour presentation from Johns Hopkins Medicine is particularly valuable for clinicians, researchers, and educators seeking to enhance their use of health data for improved patient care and more informed clinical decisions.

AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional. AWS SimuLearn: Electronic Health Records in the Cloud In this AWS SimuLearn assignment, you will review a real-world scenario helping a fictional customer design a solution on AWS. After the design is complete, you will build the proposed solution in a guided lab within a live AWS Console environment. You will gain hands-on experience working with AWS services, using the same tools technology professionals use to construct AWS solutions. How does it work? AWS SimuLearn is powered by generative AI that enables you to have life-like conversations with AI customers. Your responses to the AI are evaluated to help develop your soft skills like communication. and problem solving. As you provide the correct responses, a quiz agent with test you and you can also get help from Dr. Newton, the helper agent when you get stuck. Once you provide all of the correct responses for the solution you will move to building it and validating in a live AWS Console environment. AWS SimuLearn: Electronic Health Records in the Cloud - Services Used Electronic Health Records in the Cloud Amazon Aurora, Amazon EC2, Amazon EC2 Auto Scaling, Elastic Load Balancing (ELB)

Learn how to perform large-scale analytics queries on FHIR data through this 12-minute technical video from Google. Explore the FHIR Analytics component of the Open Health Stack, designed specifically for developers building digital healthcare solutions. Understand the challenges of querying FHIR data and discover efficient solutions for data retrieval and analysis. Starting with a comprehensive problem statement and context, dive into performance concepts and technologies before exploring practical queries and views. Master the fundamentals of health records analytics through detailed explanations by speaker Bashir Sadjad, covering everything from basic concepts to advanced implementation strategies.

Get the full information needed to be able to become a Wireless Technician What you'll learn: Understand the foundation theory of the Wireless LANBe able to configure and install a Wireless access pointGet prepared to the CWNP Certified Wireless Technician exam (CWT)Know which WLAN should you configure and how DISCLAIMER:This course is not officially sponsored by CWNP and not an authorized course by CWNP. We are neither affiliated with nor endorsed by CWNP. We respect the Trademarks of the mentioned company and institution. Hello,You are looking to this page because you are interested to become a Wireless Technician. Being a wireless technician nowadays is very required specially that all the networks need to have wireless enabled. However, if the wireless is deployed by unexperienced engineers, then this can cause a lot of issue as for the security, installation, frequency interference, and so on. For this, it is always required that the person who is installing the Wireless LAN to be an experienced one and to know what he is doing.In this course, Iwill prepare you to become ready to be a wireless technician. You will have to understand a lot of theory in wireless so when you will get a project to do a wireless installation then you know what you are doing.Also, I will be showing in this course many practical work. For instance, we are going to configure an Wireless Access Point Router from scratch so we have the wireless up and running, then to test if it is going to work.If you have taken previsouly the course Wireless Specialist, then you may see that some of the lectures are the same and that's because the 2 courses have a lot of matched topics.Finally, if you want to be read to be a Wireless Technician, all you need to do is to join this course and I will help you with your path.

Overview of the main principles of Deep Learning along with common architectures. Formulate the problem for time-series classification and apply it to vital signals such as ECG. Applying this methods in Electronic Health Records is challenging due to the missing values and the heterogeneity in EHR, which include both continuous, ordinal and categorical variables. Subsequently, explore imputation techniques and different encoding strategies to address these issues. Apply these approaches to formulate clinical prediction benchmarks derived from information available in MIMIC-III database.

AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional. AWS SimuLearn: Container Services for Electronic Health Records In this AWS SimuLearn assignment, you will review a real-world scenario helping a fictional customer design a solution on AWS. After the design is complete, you will build the proposed solution in a guided lab within a live AWS Console environment. You will gain hands-on experience working with AWS services, using the same tools technology professionals use to construct AWS solutions. How does it work? AWS SimuLearn is powered by generative AI that enables you to have life-like conversations with AI customers. Your responses to the AI are evaluated to help develop your soft skills like communication. and problem solving. As you provide the correct responses, a quiz agent with test you and you can also get help from Dr. Newton, the helper agent when you get stuck. Once you provide all of the correct responses for the solution you will move to building it and validating in a live AWS Console environment. AWS SimuLearn: Container Services for Electronic Health Records - Services Used Container Services for Electronic Health Records Amazon Aurora, Amazon Elastic Container Registry, Amazon Elastic Container Service, Elastic Load Balancing (ELB)