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We're often asked to explain what nursing informatics is. While it's difficult to quickly summarize this complex field, at its core, it takes the clinical and the technical languages of health and translates them into one. It also promotes meaningful, user-friendly and patient-centric innovation while driving improved outcomes for patients and enhanced clinical workflows for healthcare staff.

What is Nursing Informatics Definition?

The definition provided by the American Nurses Association (ANA) and recommended by HIMSS has become widely referenced in response to the question, "What is nursing informatics?"

Nursing informatics "is the specialty that integrates nursing science with multiple information and analytical sciences to identify, define, manage and communicate data, information, knowledge and wisdom in nursing practice."

As a global advisor and thought leader in healthcare information and technology, HIMSS has focused on this professional field for decades. Understanding the integral role this specialty plays today in the healthcare workforce, we've worked to amplify awareness by convening the experts and conducting extensive research on the topic.

What Are Nursing Informatics Roles and Requirements?

If you're looking to venture into this field of informatics, there are a variety of different skills and qualifications that can help ensure your success:

A bachelor's degree in nursing (BSN), at minimum

A master's degree and certifications, particularly for executive roles (chief nursing informatics officer)

Experience and/or strong understanding of working in a clinical setting

Strong technical skills; ability to quickly adapt to emerging technologies and innovation

Strong project management skills

An affinity for obtaining, analyzing and strategizing about data

Understanding of medical economics

Strong interpersonal skills

Leadership experience

Here are a few of the many job titles in use today:

Nurse informaticist

Nursing informatics specialist

Nursing informatics clinician

Clinical nurse informatics specialist

Chief nursing informatics officer

Perioperative informatics nurse

The field of nursing informatics has helped drive healthcare's application of technologies such as EMRs and computerized provider order entry. Nursing informatics professionals work with a diverse group of stakeholders across the care continuum, ultimately helping to bridge the gap between clinical and technical perspectives. Their number one priority is maintaining focus on patient safety.

This role was included in the top 15 highest paying nursing professions in the U.S. The HIMSS Nursing Informatics Workforce Survey, led by the HIMSS Nursing Informatics Committee, unveiled a multitude of findings about the profession:

Over two-thirds (68%) of the 1,359 survey respondents work for a hospital or multifacility health system

Ambulatory nurse informaticists are on the rise, with 6% of respondents reporting the ambulatory environment as their primary work place

The percentage of respondents (66%) who have a master's degree in nursing (24%), nursing informatics (27%), or some other field (11%) has gone up

The role of chief nursing informatics officer/senior nursing informatics officer continues to be on the rise with 41% of respondents reporting that their organization had the formal role

Overall, the results of the survey indicated that most professionals are burning bright with potential. After all, these findings confirm that many make higher wages than the average nursing professional, they enjoy the work they do, and many of them plan to keep doing it in the future.

What is Nursing Informatics Value?

" Nursing informatics specialists are the translators that have evolved into health tech innovators who establish businesses, manage medical economics, create technology and amplify the voice of end-user clinicians," said Danielle Siarri, MSN, RN, a HIMSS member and social media ambassador, global nursing expert and the lead publisher at InnoNurse. "Healthcare and technology were separate entities that have now fused into one language which evolves daily."

Nursing informatics professionals are unique, hybrid heroes of healthcare. As advocates for impactful innovation, their work keeps patients safe and at the center. Through their contributions and guidance, workflows are improved for healthcare staff and best practices followed in the effective management of information structures, processes and technology.

Through consistent leadership and hard work, the dynamic language and energy of health information and technology continues to grow and evolve along with the nursing informatics profession.

Empowering Nursing Informatics Professionals
National Nurses Week
HIMSS joins the American Nurses Association and the Alliance for Nursing Informatics and numerous other partners in celebrating National Nurses Week each May. The purpose of this week-long celebration is to raise awareness of the value of nursing and help educate the public about the role nurses play in meeting the healthcare needs of Americans. Join us in celebrating the nurses of our nation, who are at the forefront of improving patient care and transforming healthcare.
Online Journal of Nursing Informatics (OJNI)
Powered by the HIMSS Foundation and the HIMSS Nursing Informatics Community, the OJNI is a free, international, peer-reviewed publication that is published three times a year and supports all functional areas of the field. The journal was launched in 1996, with readership spanning over 49 countries.
Alliance for Nursing Informatics (ANI)
ANI represents thousands of nurses and brings together nursing informatics groups that function separately at local, regional, national and international levels. ANI is a collaboration of organizations that represent a unified voice for nursing informatics and provides the synergy and structure needed to advance the efforts of nursing informatics professionals in improving the delivery of patient care.
Identifying for a Unique Nurse Identifier
While nurses are making a difference in patients' health outcomes, without a nurse identifier, which is a unique numeric identifier automatically generated for each RN at the time of their state board exam, health systems have no way of demonstrating the full value of nursing.

It is a free, unique identifier, publicly available, that is automatically generated for each RN and LPN at the time of their NCLEX exam. No additional action is needed. The workgroup recommends that the NCSBN ID should be used by key stakeholders as the unique nurse identifier to enable identification and demonstration of the value of nurses through documentation in the EHR and other health IT systems.
Change Management Infographic
Formed within the HIMSS CNO-CNIO Vendor Roundtable, the infographic was created with a purpose to realize the value of the health IT investment, achieve benefits and sustainable transformation required for an organizational change management approach, as well as ongoing organization/vendor relationships for continued innovation for leaders across the healthcare spectrum.
CNIO Job Description
As the Chief Nursing Informatics Officer (CNIO) role varies within healthcare organizations, it is essential to have a standardized job description that can be referenced for needed competencies regardless of specific job title. This document provides recommendations for a C-Suite level CNIO job description including qualifications and Experience, Key Responsibilities, and Reporting Structure.
The TIGER Initiative
TIGER (Technology Informatics Guiding Education Reform) is a grassroots initiative focused on education reform, fostering interprofessional community development and global workforce development. The spirit of TIGER is to maximize the integration of technology and informatics into seamless practice, education and research resource development.
Register now Originally published May 14, 2019, updated February 27, 2023

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You asked, "What is nursing informatics?" And we answered. Explore the profession and how it is a driving force behind improved outcomes for patients and enhanced workflows for healthcare staff.

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Quality and Safety Education in Nursing (QSEN) competencies are crucial for nurses practicing at all levels. These competencies arose after the Institute of Medicine (IOM) released a report in 2000 that highlighted the pressing need to redesign healthcare systems to improve patient care. Subsequently, regulatory bodies established national initiatives designed to effect positive change within the nursing field. The QSEN competencies were part of these national initiatives. ¹

Established in 2005, the QSEN initiative focuses on the integration of modern knowledge and skills related to safety and quality into nursing education. Specifically, the QSEN initiative establishes six competencies of knowledge, skills and attitudes (KSAs) for pre-licensure nursing degree students.

Patient-Centered Care

The first QSEN competency is patient-centered care. This area explores the necessity of providing inclusive care that keeps patients involved in making all decisions regarding their wellness. Of course, a precursor to this is providing excellent patient education to enable patients to make informed decisions. In addition, patient-centered care acknowledges the need for a compassionate approach that takes into consideration each patient's values and needs. Some of the KSA tasks for this competency may include:

Exploring the ethical and legal issues of patient-centered care

Understanding common barriers to patient involvement

Learning how to support the patient's preferences for family involvement

Teamwork and Collaboration

Teamwork and collaboration are the second QSEN competency. This competency acknowledges that healthcare is not delivered in a bubble. In other words, multiple healthcare providers work with a single patient and in order to provide the best possible care, these providers must share in the decision-making. This QSEN competency encourages nursing degree students to acknowledge their own strengths and limitations as team members and to welcome the contributions of others with diverse skillsets. It also underscores the necessity of acting with respect when another person's professional opinion differs. As they work to acquire this competency, students should strive to better understand their own communication style and its effect on others.

Evidence-Based Practice

The third QSEN competency is evidence-based practice. This QSEN competency builds upon the previous two. It involves the acknowledgment, interpretation and application of current medical evidence when delivering collaborative, patient-centered care. Pre-licensure nursing students will embrace this competency by learning to read and interpret clinical studies and other evidentiary findings. However, this competency acknowledges that in the nursing world, one's education is never truly finished. Professionals are expected to continually learn about the latest evidence-based findings and to apply them in their practice. Some of the KSA tasks for this competency may include:

Identifying reliable sources of clinical evidence and practice guidelines.

Understanding the difference between clinical opinion and research summaries.

Quality Improvement

The fourth QSEN competency is quality improvement. This involves the application of evidence-based information to evaluate patient outcomes and to design, test and implement changes to the healthcare delivery model. These changes strive to continually improve the quality of care. In order to closely study the mechanisms for quality improvement, pre-licensure students may be asked to participate in a root cause analysis that explores a sentinel event.

In a healthcare setting, a sentinel event is any unexpected event that results in a severe patient outcome, including death. A root cause analysis is a standard tool that hospitals use to evaluate sentinel events, learn from them and implement appropriate quality improvement initiatives.

Safety

The next QSEN competency is safety. Although this competency focuses on the importance of patient safety, it also acknowledges the need to explore provider safety issues. Students working to acquire this QSEN competency may be asked to do any of the following KSA tasks:

Understand safety design principles and learn how to recognize unsafe practice, including errors of omission and inappropriate shortcuts in the workplace.

Explore factors that support a safety-minded work culture, such as open communication and error reporting systems.

Understand the benefits and limitations of healthcare technologies intended to minimize patient harm, including automatic alert systems and medication pumps.

Consider the theoretical and practical impacts of national patient safety initiatives and regulations.

Informatics

The final QSEN competency is informatics. Healthcare informatics refers to the utilization of technology and information to manage patient care, prevent medical errors, enhance decision making and encourage collaborative communication. The importance of healthcare informatics is becoming increasingly clear as more care-oriented organizations implement advanced technologies.

This competency acknowledges that technology can play an impactful role in preventing medical errors. For example, medical healthcare records enable multiple providers to stay on top of changes to a patient's health history. In nursing education, KSA tasks for the informatics competency may include learning how to use information management tools, navigating the electronic health record (EHR) system and understanding the need for lifelong learning in information technology.
At Grand Canyon University, we are proud to be at the forefront of high-quality nursing education that prioritizes patient care and safety. Some of the degrees you may be interested in as an aspiring nursing student include the Bachelor of Science in Nursing (RN to BSN) degree. To learn more about earning your nursing degree at GCU, click on Request Info above.
¹Retrieved from QSEN Institute, QSEN Competencies, in February 2021.

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Understanding The Importance of QSEN Competencies

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Quality and Safety Education in Nursing (QSEN) competencies are crucial for nurses practicing at all levels. These competencies arose after the Institute of Medicine (IOM) released a report in 2000 that highlighted the pressing need to redesign healthcare systems to improve patient care.

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It's the reason why patients can send healthcare data from their Bluetooth-enabled blood pressure cuff to their provider's electronic health record (EHR). It's how an emergency room (ER) physician can access test results from a patient's cardiologist with the click of a button. Or why a primary care physician can directly send electronic care summaries to a gastroenterologist when referring patients. It's also the driving force behind a payer's or health system's governance, risk management, and compliance ( GRC) strategy.

We're talking about healthcare interoperability-the ability of different information systems, devices, and applications to access, exchange, integrate, and cooperatively use healthcare data in a coordinated way. The goal? To provide timely and seamless access to information that can optimize health outcomes and improve patient care. There are countless examples of interoperability in healthcare, all of which are completely behind the scenes, helping providers and payers render high-quality patient care every minute of every day.

The Office of the National Coordinator's (ONC) goal is to achieve nationwide healthcare interoperability by 2024. That means in just three short years, the U.S. is aiming to have a patient-centric system that can continuously improve care, public health, and science through real-time data access.

The most recent step toward healthcare interoperability is the passage of CMS' Interoperability and Patient Access Final Rule that promotes seamless healthcare data exchange, enables better patient access to their medical records, and improves interoperability. This rule is an important step toward achieving true healthcare interoperability nationwide.

What is healthcare interoperability?

Think of interoperability as a universal language that disparate systems (e.g., mobile apps, third-party systems, electronic health records, and more) use to communicate. They do this by using healthcare data exchange architectures, application program interfaces, and standards. Without healthcare interoperability, healthcare providers and others wouldn't have critical information at their fingertips and data would remain siloed. Just as two people who speak different languages couldn't communicate without the help of a translator, multiple systems could not engage in data sharing without a common language.

What data is exchanged via interoperable systems?

Health information technology systems that adhere to the United States Core Data for Interoperability (USCDI v1) standards are able to exchange a variety of information, including demographic information, vital signs, smoking status, medications, lab results, clinical notes, allergies and intolerances, and much more. The list is growing as standards for data sharing emerge.

What are the standards for hospital interoperability?

There are five types of standards associated with healthcare interoperability:

1. Vocabulary/terminology standards

2. Content standards

3. Transport standards

4. Privacy and security standards

5. Identifier standards

Standards provide a common language and a common set of expectations that support data exchange between systems and/or devices.

Why is interoperability important in healthcare?

Interoperability is important in healthcare because patients receive care from multiple providers working in multiple healthcare systems and may be on multiple payer panels. The need for seamless patient data flow is paramount. Consider a physician in the ER treating a patient for a heart attack. Without healthcare interoperability with the local pharmacy, the ER physician wouldn't be able to immediately access the patient's medication list. Instead, they would need to ask the patient to recall every medication and dosage. This may not even be possible if the patient isn't conscious. Even if the patient is conscious, he or she may not be able to provide accurate information. All of this impacts care delivery and the physician's ability to provide the most effective and efficient care.

Here's another example of why healthcare interoperability matters: Home-based care for patients with chronic diseases was crucial during the COVID-19 pandemic. Thanks to interoperable medical devices, many patients were able to capture certain physiological parameters (e.g., temperature, blood pressure, weight, and respiratory rate) and wirelessly transmit that healthcare data to their medical record where providers could access and monitor it. These are patients who might have otherwise fallen through the cracks during a time when stay-at-home orders were common. Many of these patients have continued to engage in remote patient monitoring throughout the pandemic because of its convenience. In addition, provider and payer organizations benefit when patients stay healthy.

What are the interoperability levels?

When it comes to healthcare interoperability, not all levels are created equally. Consider the following:

Foundational

This level establishes the basic standards necessary for one system or application to securely communicate with another. With foundational healthcare interoperability, data information technology solutions can't interpret the healthcare data they receive. To process the data and extract meaningful information, additional levels of interoperability are needed.

Structural

This level defines the format, syntax, and organization of data sharing. Health Level 7, for example, provides guidance on how messages should be structured. HL7's Fast Healthcare Interoperability Resources, which defines about 140 common healthcare concepts, is an emerging standard for communicating healthcare data. With structural healthcare interoperability, data information technology solutions can interpret the healthcare data they receive. However, the content of a structured message may not be standardized, which means higher levels of understanding between systems may not be possible.

Semantic

This level of healthcare interoperability includes medical terminologies, nomenclatures, and ontologies. It ensures that medical concepts can be shared across systems. With semantic interoperability, data information technology solutions can exchange, interpret, and use the healthcare data. For example, with more than 340,000 medical concepts, the terminology SNOMED is a general-purpose language for advancing semantic interoperability in medicine and healthcare. Domain-specific terminologies include Logical Observation Identifiers Names and Codes (LOINC) for laboratory observations, the Identification of Medicinal Products (IDMP) for medicines, the nomenclature of the HUGO Gene Nomenclature Committee (HGNC) for genes, or the Human Phenotype Ontology (HPO) for phenotypic abnormalities.

Organizational

This level includes governance, policy, social, legal, and organizational considerations for healthcare interoperability-all with the overarching goal of facilitating secure, seamless, and timely healthcare data exchange between organizations, entities, and individuals. This is the level of interoperability toward which all healthcare entities are ultimately moving. It requires common business processes and workflows that enable the seamless provision of healthcare across institutions.

What is health information exchange and data sharing?

As a verb, health information exchange (HIE) refers to the electronic transfer of clinical information between disparate healthcare information systems while maintaining the meaning of that information. The goal? Facilitate access to and retrieval of clinical data to provide safe, timely, efficient, effective, and equitable patient-centered care. Without healthcare interoperability, HIE and data sharing wouldn't be possible.

However, HIE is also a noun, referring to organizations within the U.S. that provide HIE technology and services at a state, regional, or national level. HIEs often work directly with communities to promote secure sharing of health data. For example, during Hurricane Harvey in 2017, Greater Houston Healthconnect, a regional HIE, assisted doctors treating evacuees in area shelters. Its staff used the HIE's portal to look up medication, diagnosis, allergy, and other critical healthcare data to treat current and emerging health issues. More recently, HIEs have supported public health agencies in their response to public health emergencies like COVID-19, serving as hubs for rich healthcare data from a multitude of sources.

What are benefits of healthcare interoperability?

Healthcare interoperability has many benefits . For example, information exchanged between providers helps inform the visit and prevents the duplication of tests. Think of an ER physician who can access a recent blood test result from a specialist so he or she can make a timely decision regarding the course of care without having to repeat the test. In this example, interoperability can actually reduce healthcare costs.

It also reduces the redundant collection of information from the patient. Think of a scenario where a hospital can pull insurance information from the patient's medical record at a physician's office. This prevents the patient from having to retrieve this information and provide it again. It also reduces the time it takes patients to brief their healthcare providers on their medical history, allowing more time for clinical discussions about health concerns. The outcome? Better patient care.

Healthcare interoperability is all about efficiency. For example, healthcare interoperability software enables automatic appointment reminders or follow-up instructions to be sent directly to patients. It allows physicians to send prescriptions directly to pharmacies. By saving time across the entire continuum of healthcare delivery, interoperability indirectly reduces costs and improves health outcomes throughout the healthcare industry.

What about preventing medication errors or other types of costly mistakes? Once again, healthcare interoperability can help. Think of a specialist prescribing a medication that interacts with the patient's blood pressure medication. Interoperability alerts the specialist of this interaction so they can prescribe a different, safer medication. It also enables a whole host of additional clinical decision support tools for more effective patient care and treatment.

Healthcare interoperability can also stimulate consumer education and patient involvement in their own healthcare. Think of the primary care physician who can push educational materials through the patient portal to a patient recently diagnosed with diabetes. Without interoperability between the educational system and the electronic health record, this task would be manual and time- and resource-consuming.

When it comes to research, healthcare interoperability is key. Think of large-scale observational studies in the healthcare industry. Using interoperable formats for real-world data (e.g., data collected in medical care or even via mobile apps) opens up countless opportunities for researchers.

Finally, it improves digital medicine by facilitating big data analysis. Without healthcare interoperability, artificial intelligence algorithms wouldn't have enough healthcare data to process. Processing information from different systems and across institutional boundaries is critical. In addition, these algorithms need accurate, standardized healthcare data. Running algorithms on unstructured, non-standardized healthcare data can introduce errors and compromise analysis results. The overarching goal is to create trust in digital technologies. Without interoperability, trust can be easily eroded.

How can healthcare interoperability enhance your GRC strategy?

Healthcare interoperability can greatly enhance a healthcare organization's GRC strategy because it enables a high-level, big-picture view of compliance. When healthcare data from disparate systems feeds into a single analytics platform, for example, healthcare organizations can spot billing errors and suspected fraud in real time. When using GRC software with integrated healthcare provider directories, organizations can enhance enterprise healthcare provider data management. Interoperability makes this type of integration possible. Healthcare interoperability also makes it possible for GRC software to enable quality monitoring and safety and incident reporting as well as vendor background checks, credentialing, training, and policy reviews. Interoperability is the foundation of all of these efforts.

As the healthcare industry forges ahead with interoperability and data sharing, the opportunities for healthcare organizations are endless. Healthcare interoperability enables lower costs, improved outcomes, and a more robust GRC strategy.

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Why Is Interoperability Important In Healthcare? | symplr

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It's the reason why patients can send healthcare data from their Bluetooth-enabled blood pressure cuff to their provider's electronic health record (EHR). It's how an emergency room (ER) physician can access test results from a patient's cardiologist with the click of a button.

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Data analytics has been the driving force of the digital revolution of multiple industries globally. It has altered the way we analyze, manage, and leverage data across various sectors. However, the most noticeable impact of the technology is being observed in the field of healthcare.

Data analytics solutions in healthcare can reduce treatment costs, outbreak prediction, prevention of avoidable diseases, and improve healthcare services as a whole. Nevertheless, with improved healthcare, the overall lifespan of humans is increasing, which is posing new challenges to care providers across the globe, especially when it comes to treatment delivery methods.

In times like today, where the condition of patients is worsening due to COVID-19 globally, the application of data analytics in the healthcare industry has become more crucial than ever before. Let's look at the areas where data analytics is helping the healthcare industry improve and provide better care to patients.

2. Enhanced Electronic Health Records (EHR)
Improvement of Electronic Health Records or EHRs is one of the most prominent applications where data analytics plays a significant role. Every patient has its digital record with the hospitals that includes medical history, demographics, allergy reports, and laboratory test results, etc. These records are shared with respective departments via secured information systems and can be reviewed by the care providers at any point in time. Moreover, the EHR is in modifiable files, which the doctor can edit as per the treatment.

With the help of big data analytics practices and solutions, healthcare providers can improve the data visuals in the EHRs and help the care providers to deliver better solutions to the patients. The technology helps the care providers to collect, store, and utilize the data to enhance the EHRs in hospitals and other healthcare centers.

3. Better Real-Time Alerting
Another field where data analytics is helping the healthcare industry to get better is real-time alerting. Looking at the current situations of COVID-19, patients require special attention as an emergency can strike at any time. Nursing staff or doctors are always busy attending to the patients; however, a patient who undergoes shock or trauma needs to be treated immediately.

In such scenarios, the predictive analysis of the data analytic solutions comes in handy. The ability to monitor the health status of the patient and comparing it with the health pattern of a healthy patient in the model allows triggers the alert to the doctors in case of an emergency. The analysis of anomaly detected in the patient's breathing pattern, or pulse rate triggers an alert to concerned doctors or nurses.

4. Improved Patient Engagement
Today many users are already showing interest in smart devices that records their health data with their every step. They can monitor their burnt calories, heart rate, sleeping habits, and various other parameters using their smart devices. The information collected by these devices can be coupled with traceable data that doctors and healthcare providers can use to identify potential health risks that can be lurking to happen shortly.

For instance, chronic insomnia and increased heart rate are considered the stepping stone of severe heart disease. With the stored and traceable data collected via smart devices, potential patients get more involved with the healthcare providers for consultation and get better treatment to stay healthy.

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4 Ways Data Analytics is Transforming Healthcare Sector - Cloud Data Analytics Company

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Data analytics has been the driving force of the digital revolution of multiple industries globally. It has altered the way we analyze, manage, and leverage data across various sectors. However, the most noticeable impact of the technology is being observed in the field of healthcare.

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Drug Dosing Database | Dose Range Database | FDB (First Databank)

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FDB's dose range checking helps clinicians monitor the appropriateness of drug dosing for adults, neonates and infants.

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Welcome to the Mass HIway

The Mass HIway, the Massachusetts Health Information Exchange (HIE), is a secure Health Information Services Provider (HISP). The HIway is available to all healthcare systems in the Commonwealth, and can be used to cost-effectively improve care coordination, care quality, patient satisfaction, and public health reporting via Direct Messaging. To learn more, click here.

HIway Account Management

The Mass HIway supports providers in connecting and using the Mass HIway. This support is provided by our HIway Account Management team. To learn more, click here.

Statewide ENS Framework

To enable utilization of Event Notification Services (ENS) across Massachusetts, EOHHS and the Mass HIway have developed the Statewide ENS Framework to create an interoperable ENS network that serves all care providers in the Commonwealth. To learn more about the framework, click here.

HIway Connection Requirement

Certain provider Organizations are subject to the HIway Connection Requirement. Currently, Acute Care Hospitals, Community Health Centers, and Medium/Large Medical Ambulatory Practices are subject to this requirement. Acute Care Hospitals must also participate in the Statewide ENS Framework.

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Massachusetts Health Information HIway - HOME | MASSHIWAY Target

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The Mass HIway, the Massachusetts Health Information Exchange (HIE), is a secure Health Information Services Provider (HISP). The HIway is available to all healthcare systems in the Commonwealth, and can be used to cost-effectively improve care coordination, care quality, patient satisfaction, and public health reporting via Direct Messaging.

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Telemedicine and Telehealth in 2 Minutes | What is Telemedicine? | Telemedicine | Telehealth

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Restricted Intelligence - Information Security Awareness Comedy

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Data visualization and analytic tools are now critical for every healthcare organization to succeed and become more competitive. The global healthcare data analytics market is estimated to grow 3.5 times in only six years. The increase in the use of data visualization is due to the COVID-19 pandemic bringing information and data into the spotlight to provide meaningful insights. Visualization of data helps healthcare organizations operate effectively by using charts, tables, or graphs to interpret data promptly and support the decision-making process.

What is Health Data Visualization?

Medical data comes from various sources such as Electronic Medical Records (EMR) Software systems, hospital management systems, laboratories, IoT devices, and billing and coding software solutions. Data visualization tools help this data to transform into visuals so healthcare professionals can recognize various trends and interpret analytics results faster.

Examples of Data Visualization is Healthcare

Visualization tools of today can be used by different stakeholders in the healthcare sector such as healthcare providers, government officials, and patients converting complex data into visuals that can be easily comprehended. Here are some examples of modern visualization tools used by healthcare organizations in the US.

1. Interactive Dashboards

Interactive dashboards are the most regularly used data visualization tools by healthcare organizations. They provide the functionality of interactive reports which can help to display real-time data or show trends over time.

2. Interactive Websites or Apps

Interactive apps, websites, and widgets can be used by users to focus on data according to relevance and importance. For Example, the BBC website displaying updated stats on COVID-19 cases.

3. Infographics and Motion Graphics

Infographics help to visualize complex data in a format that can be easily understood by the public. Infographics can be used to provide critical information related to disease and references can be offered for prevention methods. An example of an animated infographic is motion graphics which is used extensively in tutorials and educational videos to provide higher engagement levels.

Benefits of Data Visualization in Healthcare

Data visualization is a robust tool that can facilitate the improvement of patient care by helping medical staff members identify different dangers. Real-time visualization of patient health status can help doctors categorize patients according to treatment plans. Patient records in a single dashboard provide all critical information in a single place which improves treatment effectiveness.

Data from remote patient monitoring devices and fitness apps can be used to recognize trends and reveal any health risks to the surface. Healthcare data visualization also helps governments to enhance decision-making related to public health.

Data visualizations tools along with Artificial Intelligence (AI) and machine learning can be used to eliminate errors and detect any scam in medical billing and patient prescriptions to provide seamless patient services and keep them satisfied.

Moving Ahead

Implementing healthcare data visualization tools is not an option but a need for healthcare organizations to help with patient diagnosis and treatment which is the ultimate goal of healthcare. By understanding data better decision-making can enhance which leads to improved performance.

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3 Examples of Data Visualization in Healthcare

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Data visualization and analytic tools are now critical for every healthcare organization to succeed and become more competitive. The global healthcare data analytics market is estimated to grow 3.5 times in only six years. The increase in the use of data visualization is due to the COVID-19 pandemic bringing

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Consider These Risks Before You Take That DNA Test