Health Technology, Digital Healthcare
Article | September 7, 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.
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Digital Healthcare
Article | November 29, 2023
A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is a model that mirrors a unique physical object, process, organization, person or other abstraction. For healthcare providers, digital twins provide an abstraction of the healthcare ecosystem’s component characteristics and behaviors. These are used in combination with other real-time health system (RTHS) capabilities to provide real-time monitoring, process simulation for efficiency improvements, population health and long-term, cross-functional statistical analyses.
Digital twins have the potential to transform and accelerate decision making, reduce clinical risk, improve operational efficiencies and lower cost of care, resulting in better competitive advantage for HDOs. However, digital twins will only be as valuable as the quality of the data utilized to create them. The digital twin of a real-world entity is a method to create relevance for descriptive data about its modeled entity. How that digital twin is built and used can lead to better-informed care pathways and organizational decisions, but it can also lead clinicians and executives down a path of frustration if they get the source data wrong. The underlying systems that gather and process data are key to the success for digital twin creation. Get those systems right and digital twins can accelerate care delivery and operational efficiencies.
Twins in Healthcare Delivery
The fact is that HDOs have been using digital twins for years. Although rudimentary in function, digital representations of patients, workflow processes and hospital operations have already been applied by caregivers and administrators across the HDO. For example, a physician uses a digital medical record to develop a treatment plan for a patient. The information in the medical record (a rudimentary digital twin) along with the physician’s experience, training and education combine to provide a diagnostic or treatment plan. Any gaps in information must be compensated through additional data gathering, trial-and-error treatments, intuitive leaps informed through experience or simply guessing. The CIO’s task now is to remove as many of those gaps as possible using available technology to give the physician the greatest opportunity to return their patients to wellness in the most efficient possible manner.
Today, one way to close those gaps is to create the technology-based mechanisms to collect accurate data for the various decision contexts within the HDO. These contexts are numerous and include decisioning perspectives for every functional unit within the enterprise. The more accurate the data collected on a specific topic, the higher the value of the downstream digital twin to each decision maker (see Figure 1).
Figure 1: Digital Twins Are Only as Good as Their Data Source
HDO CIOs and other leaders that base decisions on poor-quality digital twins increase organizational risk and potential patient care risk. Alternatively, high-quality digital twins will accelerate digital business and patient care effectiveness by providing decision makers the best information in the correct context, in the right moment and at the right place — hallmarks of the RTHS.
Benefits and Uses
Digital Twin Types in Healthcare Delivery
Current practices for digital twins take two basic forms: discrete digital twins and composite digital twins. Discrete digital twins are the type that most people think about when approaching the topic. These digital twins are one-dimensional, created from a single set or source of data. An MRI study of a lung, for example, is used to create a digital representation of a patient that can be used by trained analytics processes to detect the subtle image variations that indicate a cancerous tumor. The model of the patient’s lung is a discrete digital twin. There are numerous other examples of discrete digital twins across healthcare delivery, each example tied to data collection technologies for specific clinical diagnostic purposes. Some of these data sources include vitals monitors, imaging technologies for specific conditions, sensors for electroencephalography (EEG) and electrocardiogram (ECG). All these technologies deliver discrete data describing one (or very few) aspects of a patient’s condition.
Situational awareness is at the heart of HDO digital twins. They are the culmination of information gathered from IoT and other sources to create an informed, accurate digital model of the real-world healthcare organization. Situational awareness is the engine behind various “hospital of the future,” “digital hospital” and “smart patient room” initiatives. It is at the core of the RTHS.
Digital twins, when applied through the RTHS, positively impact these organizational areas (with associated technology examples — the technologies all use one or more types of digital twins to fulfill their capability):
Care delivery:
Clinical communication and collaboration
Next-generation nurse call
Alarms and notifications
Crisis/emergency management
Patient engagement:
Experiential wayfinding
Integrated patient room
Risks
Digital Twin Usability
Digital twin risk is tied directly to usability. Digital twin usability is another way of looking at the issue created by poor data quality or low data point counts used to create the twins. Decision making is a process that is reliant on inputs from relevant information sources combined with education, experience, risk assessment, defined requirements, criteria and opportunities to reach a plausible conclusion. There is a boundary or threshold that must be reached for each of these inputs before a person or system can derive a decision. When digital twins are used for one or many of these sources, the ability to cross these decision thresholds to create reasonable and actionable conclusions is tied to the accuracy of the twins (see Figure 2).
Figure 2: Digital Twin Usability Thresholds
For example, the amount of information about a patient room required to decide if the space is too hot or cold is low (due to a single temperature reading from a wall-mounted thermostat). In addition, the accuracy or quality of that data can be low (that is, a few degrees off) and still be effective for deciding to raise or lower the room temperature. To decide if the chiller on the roof of that patient wing needs to be replaced, the decision maker needs much more information. That data may represent all thermostat readings in the wing over a long period of time with some level of verification on temperature accuracy. The data may also include energy load information over the same period consumed by the associated chiller.
If viewed in terms of a digital twin, the complexity level and accuracy level of the source data must pass an accuracy threshold that allows users to form accurate decisions. There are multiple thresholds for each digital twin — based on twin quality — whether that twin is a patient, a revenue cycle workflow or hospital wing. These thresholds create a limit of decision impact; the lower the twin quality the less important the available decision for the real-world entity the twin represents.
Trusting Digital Twins for HDOs
The concept of a limit of detail required to make certain decisions raises certain questions. First, “how does a decision maker know they have enough detail in their digital twin to take action based on what the model is describing about its real-world counterpart?” The answer lies in measurement and monitoring of specific aspects of a digital twin, whether it be a discrete twin, composite twin or organization twin.
Users must understand the inputs required for decisions and where twins will provide one or more of the components of that input. They need to examine the required decision criteria in order to reach the appropriate level of expected outcome from the decision itself. These feed into the measurements that users will have to monitor for each twin. These criteria will be unique to each twin. Composite twins will have unique measurements that may be independent from the underlying discrete twin measurement.
The monitoring of these key twin characteristics must be as current as the target twin’s data flow or update process. Digital twins that are updated once can have a single measurement to gauge its appropriateness for decisioning. A twin that is updated every second based on event stream data must be measured continuously.
This trap is the same for all digital twins regardless of context. The difference is in the potential impact. A facilities decision that leads to cooler-than-desired temperatures in the hallways pales in comparison to a faulty clinical diagnosis that leads to unnecessary testing or negative patient outcomes.
All it takes is a single instance of a digital twin used beyond its means with negative results for trust to disappear — erasing the significant investments in time and effort it took to create the twin. That is why it is imperative that twins be considered a technology product that requires constant process improvement. From the IoT edge where data is collected to the data ingestion and analytics processes that consume and mold the data to the digital twin creation routines, all must be under continuous pressure for improvement.
Recommendations
Include a Concise Digital Twin Vision Within the HDO Digital Transformation Strategy
Digital twins are one of the foundational constructs supporting digital transformation efforts by HDO CIOs. They are digital representations of the real-world entities targeted by organizations that benefit from the advances and efficiencies technologies bring to healthcare delivery. Those technology advances and efficiencies will only be delivered successfully if the underlying data and associated digital twins have the appropriate level of precision to sustain the transformation initiatives.
To ensure this attention to digital twin worthiness, it is imperative that HDO CIOs include a digital twin vision as part of their organization’s digital transformation strategy. Binding the two within the strategy will reinforce the important role digital twins play in achieving the desired outcomes with all participating stakeholders.
Building new capabilities — APIs, artificial intelligence (AI) and other new technologies enable the connections and automation that the platform provides.
Leveraging existing systems — Legacy systems that an HDO already owns can be adapted and connected to form part of its digital platform.
Applying the platform to the industry — Digital platforms must support specific use cases, and those use cases will reflect the needs of patients, employees and other consumers.
Create a Digital Twin Pilot Program
Like other advanced technology ideas, a digital twin program is best started as a simple project that can act as a starting point for maturity over time. Begin this by selecting a simple model of a patient, a department or other entity tied to a specific desired business or clinical outcome. The goal is to understand the challenges your organization will face when implementing digital twins.
The target for the digital twin should be discrete and easily managed. For example, a digital twin of a blood bank storage facility is a contained entity with a limited number of measurement points, such as temperature, humidity and door activity. The digital twin could be used to simulate the impact of door open time on temperature and humidity within the storage facility. The idea is to pick a project that allows your team to concentrate on data collection and twin creation processes rather than get tied up in specific details of the modeled object.
Begin by analyzing the underlying source data required to compose the digital twin, with the understanding that the usability of the twins is directly correlated to its data’s quality. Understand the full data pathway from the IoT devices through to where that data is stored. Think through the data collection type needed for the twin, is discrete data or real-time data required? How much data is needed to form the twin accurately? How accurate is the data generated by the IoT devices?
Create a simulation environment to exercise the digital twin through its paces against known operational variables. The twin’s value is tied to how the underlying data represents the response of the modeled entity against external input. Keep this simple to start with — concentrate on the IT mechanisms that create and execute the twin and the simulation environment.
Monitor and measure the performance of the digital twin. Use the virtuous cycle to create a constant improvement process for the sample twin. Experience gained through this simple project will create many lessons learned and best practices to follow for complex digital twins that will follow.
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Health Technology, Digital Healthcare
Article | August 16, 2023
Explore the evolution of healthcare by diving deep into these EHR trends, as they pave the way for the future of EHR. Embrace cutting-edge solutions to enhance patient care and optimize operations.
1. Introduction
2. Significance of EHR Trends
3. Top 10 EHR Trends Shaping the Healthcare Industry
3.1 EHR Interoperability
3.2 Patient-reported Outcome
3.3 Patient Portals
3.4 Generative AI
3.5 Cloud-based EHR
3.6 Voice-enabled EHRs
3.7 Predictive Analytics
3.8 Robotic Process Automation
3.9 Telehealth-EHR Integration
3.10 Blockchain for EHR Data Integrity
4. Future Scope
1. Introduction
Electronic health records (EHRs) have transformed the medical industry by revolutionizing how medical information is recorded, accessed, and utilized. This article focuses on the EHR trends and innovations that have reshaped the healthcare field, paving the way for a more efficient and patient-centric future.From enhanced interoperability to cutting-edge technologies, professionals can unravel the key trends propelling future of EHR toward a new era of healthcare delivery.
2. Significance of EHR Trends
The importance of EHR software technology trends is highlighted by their transformative influence on the healthcare sector. This transformation was further expedited by the impact of the COVID-19 pandemic, which played a critical role in the increased adoption of telehealth services. As the pandemic necessitated alternatives to in-person visits, the demand for efficient and remote medical services surged, propelling telehealth to the forefront. Yet, looking beyond pandemic responses, the ongoing adoption of EHR trends in healthcare can significantly reshape how healthcare functions. Embracing these EHR trends enhances efficiency, facilitates personalized care, improves data exchange, drives data-driven insights, and empowers patient engagement. Irrespective of global events, it remains essential for healthcare facilities to stay abreast of these trends to remain adaptable and deliver optimized care, ultimately benefiting both providers and patients.
3. Top 10 EHR Trends Shaping the Healthcare Industry
Recognizing significant industry trends becomes crucial in a field that is constantly subject to technological advancement and global change. From adopting advanced technologies to prioritizing sustainability and customer-centric approaches, these EHR trends hold the power to bring about significant transformations across the healthcare sector.
3.1 EHR Interoperability
EMRs face a notable limitation in their ability to integrate with other systems, whereas EHRs offer robust interoperability, enabling seamless data exchange among healthcare facilities. As the demand for interoperability grows, the distinction between EMRs and EHRs becomes increasingly blurred, with vendors referring to products as EMRs that closely resemble what was initially known as EHRs. In response to this trend, developers and IT specialists continually update EHR systems to comply with interoperability policies, making EHRs more appealing for organizations seeking comprehensive and connected healthcare records.
3.2 Patient-reported Outcome
Patient-reported outcome or PRO EHR integration involves incorporating patient-reported outcome measures into electronic health record systems. PROs gather information directly from patient records about their health status, symptoms, and quality of life. These insights provide valuable subjective data for healthcare providers. For orthopedic patients at the clinic, completing surveys on their smartphones via a mobile link is easy. Clinicians can access patient responses during or after appointments to offer tailored care recommendations based on survey readings. Access to patient-reported outcome data empowers clinicians to deliver patient-centered care, fostering greater patient involvement in their treatment journey.
3.3 Patient Portals
Patient portals in EHRs are pivotal in modern healthcare practices as the industry embraces digital transformation. Patient portals within EHR systems are crucial to empowering individuals and facilitating communication between patients and healthcare professionals. These portals enable patients to access their personal health information securely. Patients can schedule appointments, ask questions, and even have virtual consultations, making healthcare more accessible and patient-centered. With improved communication and engagement, patient portals bridge the gap between individuals and healthcare professionals.
3.4 Generative AI
Integrating generative AI tools with Electronic Health Record systems holds immense promise for advancing healthcare industry. Generative AI can significantly enhance EHR software precision and overall technology, resulting in streamlined daily workflows and enabling healthcare providers to prioritize patient care. By utilizing patterns and structures from existing data to create new content resembling the training data, generative AI brings valuable improvements to EHR systems. These benefits include efficiently filling in missing data, enhancing clinical decision support, automating documentation and coding processes, and ensuring billing accuracy, thereby alleviating the burden on healthcare providers.
3.5 Cloud-based EHR
Cloud computing is gaining traction as medical organizations explore the benefits of outsourcing administrative and clinical services, including medical billing, reporting, lab integration, and more. With the increasing adoption of EHR systems, the advantages of easy access to patient data have become crucial. As the patient population continues to grow, the complexity of data rises, demanding solutions that ensure secure storage and accessibility. Embracing cloud-based infrastructure becomes imperative in this scenario, granting healthcare professionals the flexibility to access data using tablets or smartphones safely. This integration empowers clinicians to enhance their productivity in the clinical environment, laying the groundwork for long-term success by offering mobility solutions that cater to evolving healthcare demands.
3.6 Voice-enabled EHRs
Integrating voice recognition technology with EHR systems is a significant advancement for clinicians. By allowing hands-free input of information and patient data, voice recognition technology reduces inaccuracies and speeds up information recording. Additionally, with the support of AI, EHRs equipped with voice recognition can assist doctors in recognizing historical patient trends and making accurate diagnoses. As companies strive to incorporate AI into EHRs through voice-enabled technology, physicians can effortlessly access patient data and inquire about specific health parameters, such as the last recorded iron levels from a blood test. This streamlined approach improves efficiency and enhances the overall healthcare experience and decision-making process.
3.7 Predictive Analytics
Predictive analytics applications have become a significant driving force within the healthcare industry, yielding profound impacts on diverse areas, including cancer treatments and emergency staffing optimization. As the field continues to evolve, the adoption of predictive analytics technology is expected to expand further. Specialized healthcare app development services utilize AI-powered analytic methods, such as statistics, data mining, and modeling, in conjunction with AI capabilities to offer clinical outcome predictions based on real-time device data and electronic health records. This integration aims to elevate the patient experience and improve care delivery, equipping healthcare professionals with valuable insights to make more informed and proactive care decisions.
3.8 Robotic Process Automation
Robotic Process Automation (RPA) is driving the expansion of the automated data capture market for electronic health records worldwide, owing to its ability to enhance workflows and ensure increased accuracy. By automating data capture through robot-based processes, RPA eliminates the need for manual data entry, leading to improved precision. In the healthcare industry, RPA serves as an effective technique to address EHR flaws without requiring a complete system redesign, permitting the utilization of digital labor to preserve efficient processes while resolving underlying issues. By employing system algorithms and programs, RPAs efficiently automate tasks typically carried out by human resources, accelerating the digitization of medical facilities and promptly addressing imperfections.
3.9 Telehealth-EHR Integration
Integrating EHR systems with telehealth platforms revolutionizes healthcare by facilitating remote care and streamlining clinical workflows. This alliance will enable medical organizations to deliver high-quality patient care from a distance while ensuring the swift and secure transfer of patient information between systems and interfaces. The combined power of telehealth and EMR systems enhances virtual care activities, automates data entries, and synchronizes insurance information in a single window, thus optimizing efficiency and productivity for healthcare providers and their staff. Moreover, this integration strengthens patient-physician engagement and fosters seamless collaboration among healthcare teams.
3.10 Blockchain for EHR Data Integrity
While blockchain technology gained prominence through its association with cryptocurrency, its application in healthcare is steadily gaining momentum. By utilizing cryptography, blockchain ensures the utmost security and integrity of EHR data, limiting access to authorized individuals only. In healthcare, blockchain brings value, from validating clinical trials and verifying claim results to monitoring medicine distribution, authenticating prescriptions, and combating insurance fraud. Additionally, smart contracts leverage blockchain to automate actions based on predetermined outcomes, reducing the need for extensive human involvement. Although the adoption of blockchain in healthcare technology is still in its early stages, several EHR systems have already incorporated it to enhance security, scalability, and confidentiality measures.
4. Future Scope
The convergence of IoT devices and big data technology is set to revolutionize the healthcare experience, offering unprecedented digitization and patient engagement. The disruptions brought on by the COVID-19 pandemic have underscored the need for healthcare institutions to adapt and embrace technological advancements. Careful selection of the right EHR system is crucial for healthcare organizations, and a structured approach that involves key stakeholders, requirements definition, vendor evaluation, and implementation planning is essential for successful EHR implementations. The ultimate goal remains to enhance patient care, streamline workflows, and achieve operational efficiencies. While EHRs have already made significant strides in the industry, the future of electronic health records holds even more excellent benefits and technological impact, with healthcare mobile app developers playing a vital role in the value-based healthcare model and preparing for EHR optimization.
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Digital Healthcare, Medical Devices
Article | May 17, 2023
Electronic medical records (EMR) conferences are vital for professionals who wish to stay updated on latest healthcare innovations. Join industry experts to tackle challenges and seize opportunities.
Electronic medical records (EMR) are digital versions of patients’ medical information. These can be managed, accessed, and shared by authorized healthcare providers within a single healthcare organization. Staying informed with the latest updates on EMR conferences is crucial for healthcare providers, administrators, and IT professionals responsible for implementing and maintaining these systems. Attending these conferences offers the opportunity to keep up with the latest trends and technologies, network with experts, earn continuing education credits, and enhance professional development in the rapidly-evolving healthcare landscape.
Explore the EMR conference schedule and highlights for the healthcare industry, featuring the best EMR conferences for medical professionals with a focus on digital health, electronic patient records, and other notable advancements. Attend these top events to stay informed and connect with industry experts:
1.MedInfo 2023
July 8 to 12 | Sydney
MedInfo, a health informatics event with the theme ‘The Future is Accessible’, will take place at the International Convention Centre (ICC). The conference aims to explore digital healthcare beyond borders and will feature 700 keynote speakers addressing over 3,000 delegates from more than 50 countries. The event will cover a diverse range of topics, with particular emphasis on nursing and digital health.
2.e-Health 2023 Conference and Tradeshow
May 28 to 30 | Toronto
e-Health, a premier event for Canadian digital health professionals, will be held at Beanfield Centre. Committed to making a difference in health and healthcare delivery, this annual conference & tradeshow has remained a vital epicenter of digital health discussion and debate since 2000, attracting a diverse line-up of in-demand speakers, expert panelists, presenters, and leading-edge exhibitors. Attendees can expect a wonderful platform to learn, connect, and engage with peers both nationally and globally, along with networking and knowledge-sharing opportunities.
3. Digital Healthcare World Congress 2023
May 23-24 | London
Digital Health World Congress 2023, slated to take place at Kensington Conference & Event Centre, will feature discussions on various medical and mobile technologies such as e-health, m-health, telehealth, telemedicine, genomics, biotech, life sciences, healthtech, genetics, pharma, and healthcare IT. This event will be crucial for healthcare professionals looking to gain insights into the latest developments in electronic medical records.
4. 11th International Conference on Internal Medicine & Patient Care
July 20-21 | Florida
The conference aims to explore the latest developments and advancements in the field of internal medicine through the theme of ‘Current Research and Advances in Internal Medicine’. It will cover topics such as dermatology, cosmeceuticals, and laser treatments, with a significant scientific session on ‘Electronic Medical Record and Disease Management’. Attendees can take advantage of opportunities to present their research, learn about career development, and gain insights into the latest tools & technologies. The conference promotes collaboration among young researchers and offers a chance to interact with peers and established leaders globally.
5. openEHR Conference
June 6 | Barcelona
openEHR aims to bring together healthcare professionals, medical informatics experts, care providers, researchers, authorities, regulators, and service providers. The event's theme 'No time to waste: building the lifelong, patient-centric EHR,' emphasizes raising awareness about the current state of semantic interoperability in healthcare. The objective is to enable different healthcare systems and applications to share and utilize patient data seamlessly and accurately, irrespective of the technology used, to create patient-centric electronic records that can be accessed and used throughout a patient's lifetime.
6. Oracle Health Conference
September 18-20 | Las Vegas
Attend the Oracle Health Conference to discover how Oracle Health is revolutionizing healthcare technology. Formerly known as the Oracle Cerner Health Conference, this event features innovative product demos, education sessions on industry challenges, and networking opportunities with like-minded peers. Gain insights into how technology can improve patient outcomes, enhance clinical efficiency, and drive innovation in healthcare organizations.
7. Electronic Medical Records Boot Camp
August 21-22 | Virtual
The upcoming Electronic Medical Records Boot Camp invites attendees to gain valuable insights into biostatistical methods for analyzing EMR data. This intensive two-day program features seminars and hands-on analytical sessions, providing attendees with an overview of electronic health data opportunities, statistical challenges, and the latest techniques related to electronic medical records. The program aims to help attendees leverage electronic medical records for better healthcare outcomes.
8. The Healthcare Innovation Congress
June 20 – 22, 2023 | Washington, DC
The Healthcare Innovation Congress (thINc360), formerly known as The World Health Congress, aims to bring together executives from a wide range of healthcare sectors. Over the course of three days, the conference will offer tailored educational experiences specifically designed for executives representing healthcare professionals, health plans, and hospitals.
9. Digital Health Transformation Summit 2023
May 22-24 | Chicago
This event aims to highlight how innovation is driving change across the healthcare industry, leading to gains in quality, affordability, accessibility, and sustainability. The panel of Modern Healthcare's Top 25 Innovators will discuss the latest innovative projects, products, and developments in healthcare, including the use of AI to leverage the abundance of patient data from EHRs and digital tools for improved diagnoses, treatments, and disease prevention.
10. World Medical Innovation Forum
June 12-14 | Boston
World Medical Innovation Forum (WMIF) is a global event that brings together leaders in healthcare investment, technology, manufacturing, and regulation at Westin Boston Seaport District. The forum, presented by Mass General Brigham and Bank of America, aims to advance patient-benefitting technologies by exploring the promise of new patient care and addressing the challenges to their development and investment. The ultimate goal is to find solutions to medical, operational, and economic challenges to benefit patients, providers, and healthcare organizations at the earliest feasible time.
11. Bits & Pretzels Healthtech
June 20-21 |Munich
Conference will focus on technology-driven healthcare innovation and its potential to enhance patient outcomes. The conference will explore the patient journey from prevention to aftercare, with a focus on technology's role in driving innovation. Attendees will examine how new technologies such as AI, bio 2.0, and IoT ingestible can improve healthcare delivery.
12. IHI Patient Safety Congress
May 22-24 | Maryland
Organized by the Institute for Healthcare Improvement (IHI), the event, which will take place at National Harbor, aims to bring individuals together who are passionate about ensuring safe and equitable care for patients in all settings, including hospitals, outpatient facilities, and homes. It will feature engaging speakers who will share their vision for smarter, safer care, and attendees will have access to practical workshops, which will provide real-world insights that can be implemented within their organizations. This event is a must-attend for anyone interested in shaping the future of patient safety.
13. Intelligent Health Conference 2023
June 14 | Pilestredet
The Intelligent Health Conference 2023 is an event organized by Intelligent Health Initiative at OsloMet – Oslo Metropolitan University to provide an update on the latest developments & research in the field of digital health. The event will bring together experts & researchers in the field to discuss the use of digital technologies such as AI and wearable devices for improved health services. The conference will focus on various technologies that are becoming an integrated part of daily life, including mobile health and applications, electronic medical records, and telehealth as well as telemedicine.
14. HealthTech Innovation Days
October 24-25 | Paris October 27 | Virtual
The fifth edition of HealthTech Innovation Days (HTID) event, organized by the non-profit organization HealthTech Care and initiated by France Biotech, aims to facilitate faster delivery of innovative products to patients by providing a platform for European life sciences stakeholders. The HTID event provides various activities to facilitate the progress of innovation, such as the chance to engage with knowledgeable professionals, participate in panel discussions led by experts from around the world, and obtain valuable insights into critical subjects.
15. Digital Health Innovation Summit
June 6-7, 2023 | California
The 23rd rebranded edition of Digital Health Innovation Summit, organized by World BI, will take place at Hyatt Regency San Francisco Embarcadero Waterfront Hotel. The event aims to provide a unique opportunity for professionals in the pharma, healthcare, and medtech industries to connect with thought leaders, explore the latest trends in digital health technologies & advancements in electronic medical records, and gain valuable insights to enhance patient care. With the participation of clinicians, scientists, entrepreneurs, biomedical engineers, patient advocates, and top technology providers, this summit will serve as a crucial gathering for professionals driving innovation in healthcare.
Wrapping Up
Participating in electronic medical records conferences can facilitate professional development, accrue continuing education credits, and help individuals stay abreast of the rapidly-evolving healthcare landscape. EMR conferences frequently offer focused conference tracks or sessions dedicated to various EMR-related topics such as implementation, data analytics, interoperability, privacy and security, and patient engagement. Participating in these specialized tracks can provide attendees with a more targeted and comprehensive learning experience, and can contribute significantly to improving the quality of healthcare delivery, enhancing patient outcomes, and driving innovation in the healthcare industry.
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