Health Technology
Article | September 12, 2023
Government bodies have organized vaccination drives from the days of paper, pen and file folders. Nations across the globe have successfully run vaccination programs on a large scale.
In countries such as India, with the second-largest population, a vaccination campaign to eradicate polio was delivered at specified centers and going door-to-door. India was declared officially polio-free in March 2014. All without technology!
Routine vaccination administration has always been either by a scheduled or walk-in appointment. Vaccinating populations for polio, smallpox or similar diseases has always been a part of a multi-year plan for governments.
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Health Technology, Digital Healthcare
Article | September 7, 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2.1 Upgrading from Outdated Legacy Systems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.
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Health Technology, Digital Healthcare
Article | August 16, 2023
Artificial Intelligence or AI has attained continuous evolution over the years and witnessed widespread adoption across major industries of the globe. The Forbes report of December 2021mentions that the number of AI startups since 2000 has increased 14 times, and investments in AI startups have grown six times. It underlines the fact that the AI industry, powered by its path-breaking developments and innovations, has always been an attractive and trending option in the market.
Within a very few years, AI has taken over different segments of healthcare like wellness, early detection, diagnosis, decision making, treatment, research, training, public health functions (surveillance and outbreak response), virtual care etc. A study by Accenture claims that AI-enabled devices and gadgets meet 20% of the clinical demands, and this has reduced the unnecessary visits to hospitals by a great number.
Applications of AI in healthcare is broadly categorised into 3 segments, namely, Patient-oriented AI; Clinician-oriented AI; and Administrative-oriented AI. The transformative role of AI in healthcare is undeniable, as it scripts new journey for patients and practitioners, alike.
According to Healthcare IT News, 63% of the research subjects agree to the observation that the devices and machinery enabled by AI have provided excellent value to the specialty healthcare divisions like radiology, generic pharmacy, pathology, etc.
The rapid growth of AI in highly delicate domains like healthcare calls for great promise to accelerate diagnosis and treatment. At the same time, it also puts ethics, patient safety and privacy concerns at the heart of it; thereby calling for a framework of governance. Gartner report of July 2019 predicted the application of AI in more than 75% of the healthcare delivery organizations (HDOs) around the globe.
Since most of these HDOs are new to adopting and applying AI-enabled machinery and services, AI governance is crucial to prevent the actions that may lead to errors, misjudgements and further chaos. Moreover, the degree of variance in the application of AI is high, and therefore it is not advised to implement the AI mechanisms without proper guidance or governance.
From AI-enabled smart bands to pacemakers, the range of devices and gadgets offered by the AI industry is simply remarkable. The implementation of AI in the healthcare sector has proven to be highly effective in drastically reducing the scope of slipups. Moreover, AI has also facilitated early detection of illness with the help of daily use gadgets and devices in a smart way.
At this juncture, it is equally important to create data governance framework that ensure ethical principles are applied to patient, providers and payers’ data. Further, AI initiatives by healthcare providers should be created using transparent protocols, auditable methodologies and metadata. These technologies should do no harm, reduce biases and help patients make informed decisions about their care.
A significant part of AI governance also lies in change management. To build trust towards AI’s adoption across the healthcare ecosystem, there should be a dialogue between clinicians, scientists, technologist and end-users. Such discussions will address the opportunities, value and investment, including concerns across the stakeholders.
In fact, prominent think tanks suggest healthcare providers to establish an AI Governance Council to monitor the value, investment and use of strategic AI capabilities. Some of the crucial roles and responsibilities for the Council include addressing legal and regulatory compliance; clinical evaluations; ethical usage guidelines and organisational deployment of AI across the system.
AI is indeed a revolutionary technology that has huge surprises up its sleeves for the future. But exploring new frontiers comes with its fair share of challenges. Establishing appropriate governance over AI implementation and initiating a conversation around the ethical implications and regulations as well, will play a fundamental role in the introduction and scale-up of AI in healthcare.
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Digital Healthcare
Article | July 7, 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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