When health system clinicians make care decisions based on their organization’s EHR data alone, they’re only using a small portion of patient health information. Additional data sources—such as health information exchanges (HIEs) and patient-generated and -reported data—round out the full picture of an individual’s health and healthcare needs. This comprehensive insight enables critical, and sometimes life-saving, treatment and health management choices.
To leverage the data from beyond the four walls of a health system and combine it with clinical, financial, and operational EHR data, organizations need an interoperable platform approach to health data. The Health Catalyst® Data Operating System (DOS™), for example, combines, manages, and leverages disparate forms of health data for a complete view of the patient and more accurate insights into the best care decisions.
Presentation for UP Health Informatics HI201 under Dr. Iris Tan and Dr. Mike Muin. The topic for discussion Interoperability & Standards, a healthcare scenario was given regarding two disparate information systems, one found in a clinic, another with a hospital information system. #MSHI #HI201
Healthcare Data Management: Three Principles of Using Data to Its Full PotentialHealth Catalyst
Author Douglas Laney is now tackling the topic of Infonomics: the practice of information economics. In his 2017 book, Infonomics: How to Monetize, Manage, and Measure Information as an asset for competitive advantage, Laney provides detailed rationale as well as a thoughtful framework for treating information as a modern-day organization’s most valuable asset.
This article walks through how healthcare organizations can leverage data to its full potential using this framework and the three principles of infonomics:
Measure - How much data does the organization have? What is it worth?
Manage - What data does the organization have? Where is it stored?
Monetize - How does the organization use data?
Data Mining in Healthcare: How Health Systems Can Improve Quality and Reduce...Health Catalyst
This is the complete 4-part series demonstrating real-world examples of the power of data mining in healthcare. Effective data mining requires a three-system approach: the analytics system (including an EDW), the content system (and systematically applying evidence-based best practices to care delivery), and the deployment system (driving change management throughout the organization and implementing a dedicated team structure). Here, we also show organizations with successful data-mining-application in critical areas such as: tracking fee-for-service and value-based payer contracts, population health management initiatives involving primary care reporting, and reducing hospital readmissions. Having the data and tools to use data mining and predict trends is giving these health systems a big advantage.
The document discusses healthcare information technology and its evolution. It defines common terms like EMR, EHR, HIS, HL7, DICOM and PACS. It states that computerized physician order entry (CPOE) can significantly reduce medication errors and preventable adverse drug events. The hospital information system (HIS) is described as an integrated system that manages administrative, financial and clinical data across different departments. Several standards organizations are working to develop standards for interoperability between different health IT tools and electronic medical records.
The document discusses the electronic medical record (EMR) and some of the challenges to its adoption. An EMR is an information system that captures a patient's health data from multiple providers and visits that can be accessed by authorized healthcare professionals. Some key challenges to EMR adoption include a lack of standard terminologies, privacy and security concerns, resistance from healthcare providers, and issues with interoperability between different systems. Addressing factors like developing common standards, strengthening data protection laws, providing training and technical support, and involving end-users in design can help overcome barriers to implementing EMRs.
Healthcare Interoperability: New Tactics and TechnologyHealth Catalyst
Every provider agrees on the need for healthcare interoperability to achieve clinical data insights at the point of care. The question is how to get there from the myriad technologies and the volumes of data that comprise electronic medical records. It’s been difficult to organize among participants that have had little incentive to cooperate. And standards for sending and receiving data have been slow to develop. This is changing, but the key components that are still vital to realizing insights are closed-loop analytics and its accompanying tools, an enterprise data warehouse and analytics applications. This article defines the problems and explores the solutions to optimizing clinical decision making where it’s needed most.
The document provides an overview of hospital information systems, describing how they use information and communication technologies to help clinicians provide high quality, safe, and efficient care by reducing errors and improving access to patient information, with examples including electronic health records, computerized physician order entry, clinical decision support systems, and other applications.
Presentation for UP Health Informatics HI201 under Dr. Iris Tan and Dr. Mike Muin. The topic for discussion Interoperability & Standards, a healthcare scenario was given regarding two disparate information systems, one found in a clinic, another with a hospital information system. #MSHI #HI201
Healthcare Data Management: Three Principles of Using Data to Its Full PotentialHealth Catalyst
Author Douglas Laney is now tackling the topic of Infonomics: the practice of information economics. In his 2017 book, Infonomics: How to Monetize, Manage, and Measure Information as an asset for competitive advantage, Laney provides detailed rationale as well as a thoughtful framework for treating information as a modern-day organization’s most valuable asset.
This article walks through how healthcare organizations can leverage data to its full potential using this framework and the three principles of infonomics:
Measure - How much data does the organization have? What is it worth?
Manage - What data does the organization have? Where is it stored?
Monetize - How does the organization use data?
Data Mining in Healthcare: How Health Systems Can Improve Quality and Reduce...Health Catalyst
This is the complete 4-part series demonstrating real-world examples of the power of data mining in healthcare. Effective data mining requires a three-system approach: the analytics system (including an EDW), the content system (and systematically applying evidence-based best practices to care delivery), and the deployment system (driving change management throughout the organization and implementing a dedicated team structure). Here, we also show organizations with successful data-mining-application in critical areas such as: tracking fee-for-service and value-based payer contracts, population health management initiatives involving primary care reporting, and reducing hospital readmissions. Having the data and tools to use data mining and predict trends is giving these health systems a big advantage.
The document discusses healthcare information technology and its evolution. It defines common terms like EMR, EHR, HIS, HL7, DICOM and PACS. It states that computerized physician order entry (CPOE) can significantly reduce medication errors and preventable adverse drug events. The hospital information system (HIS) is described as an integrated system that manages administrative, financial and clinical data across different departments. Several standards organizations are working to develop standards for interoperability between different health IT tools and electronic medical records.
The document discusses the electronic medical record (EMR) and some of the challenges to its adoption. An EMR is an information system that captures a patient's health data from multiple providers and visits that can be accessed by authorized healthcare professionals. Some key challenges to EMR adoption include a lack of standard terminologies, privacy and security concerns, resistance from healthcare providers, and issues with interoperability between different systems. Addressing factors like developing common standards, strengthening data protection laws, providing training and technical support, and involving end-users in design can help overcome barriers to implementing EMRs.
Healthcare Interoperability: New Tactics and TechnologyHealth Catalyst
Every provider agrees on the need for healthcare interoperability to achieve clinical data insights at the point of care. The question is how to get there from the myriad technologies and the volumes of data that comprise electronic medical records. It’s been difficult to organize among participants that have had little incentive to cooperate. And standards for sending and receiving data have been slow to develop. This is changing, but the key components that are still vital to realizing insights are closed-loop analytics and its accompanying tools, an enterprise data warehouse and analytics applications. This article defines the problems and explores the solutions to optimizing clinical decision making where it’s needed most.
The document provides an overview of hospital information systems, describing how they use information and communication technologies to help clinicians provide high quality, safe, and efficient care by reducing errors and improving access to patient information, with examples including electronic health records, computerized physician order entry, clinical decision support systems, and other applications.
This document defines clinical decision support systems (CDSS) and outlines their key components and challenges. It begins by defining CDSS as computer programs that help health professionals make clinical decisions. It then describes the main categories of CDSS, including diagnostic assistance, therapy planning, and image recognition. The document outlines the typical system architecture of CDSS including tools for information management, focusing attention, and patient-specific consultation. It also discusses the need for CDSS, potential applications, disadvantages, and challenges to implementation. Throughout, it provides examples to illustrate different types of CDSS.
A hospital management information system (HMIS) provides:
1) A secure environment for electronic access and sharing of patient records and transactions across hospital departments.
2) Quick response for administrators to improve operational control.
3) Evaluation of hospital performance, costs, and long-term forecasts.
6 Steps for Implementing Successful Performance Improvement Initiatives in He...Health Catalyst
This document outlines six steps for implementing successful performance improvement initiatives in healthcare. It discusses establishing an analytics system to identify opportunities, prioritizing programs, defining permanent improvement teams, using a content system to define outcomes and interventions, and estimating return on investment. The goal is to provide a framework for sustainable performance gains through integrating improvement into strategy, using data analytics, deploying changes, and establishing ongoing monitoring teams.
Interoperability is one of the most critical issues facing the health care industry today. A universal exchange language is needed to assist health care providers in sharing health information in order to coordinate diagnosis and treatment, while maintaining privacy and security of personal data. Health Information Exchanges (HIE) allow for the movement of clinical data between disparate systems; they enable providers to electronically share health records through a network. This presentation provides an overview of HIE and the Meaningful Use requirement related to the exchange of clinical information as well as information about standards of exchange and the recommended "next steps" for providers.
Powerpoint on electronic health record lab 1nephrology193
This presentation provides an overview of electronic health records (EHR). It defines EHR as a digital format for documenting a patient's medical history maintained by healthcare providers. EHR files contain sections for different types of health information. The presentation outlines benefits of EHR such as reducing medical errors, improving quality of care through better disease management and education, and decreasing healthcare costs. It also discusses how EHR protects patient privacy through security measures and restrictions on who can access records.
Healthcare analytics uses vast amounts of medical data to provide insights that can improve patient care. It has applications such as optimizing staffing, electronic health records, enhancing patient engagement through wearables, preventing opioid abuse by identifying risk factors, and predictive analytics to anticipate conditions and streamline care. Researchers are working to address barriers to healthcare analytics like ensuring high quality training data, eliminating bias, protecting patient privacy, and gaining provider trust.
This presentation addresses
*Why do we need access to Health Data and Information?
*What are the challenges we have?
*What are the possible interventions that can be made so that access becomes easy for patients and doctors?
Artificial Intelligence (AI) is shaping and reshaping every industry under the sun. The Healthcare industry is not any exception.
In this presentation, I have discussed the basics of AI as well as how it is being used in various branches of the healthcare industry. I presented this topic in my departmental seminar in October 2021 and received appreciation as well as positive feedback in this regard.
An electronic health record (EHR) is a digital version of a patient's paper medical chart. An EHR contains the patient's medical history, diagnoses, medications, allergies, immunizations, lab tests, exams, photos, and more. EHRs allow authorized healthcare providers to securely access a patient's information electronically. This improves care coordination and makes health information instantly available across different healthcare organizations. EHR adoption among US doctors has increased in recent years due to federal incentives that aim to improve patient care through "Meaningful Use" of certified EHR systems.
This document discusses healthcare analytics. It begins by defining healthcare analytics as focusing on technologies and processes that measure, manage, and analyze healthcare data to enable more effective and efficient operational and clinical decisions. It then outlines the objectives of healthcare analytics as making decisions data-driven, transparent, verifiable, and robust. The document describes the main types of analytics as descriptive, predictive, diagnostic, and prescriptive. It also lists some common sources of healthcare data and how healthcare companies use analytics to reduce costs, improve patient outcomes, and conduct randomized clinical trials. Emerging technologies discussed include big data, AI/ML, blockchain, and AR/VR. Finally, some existing healthcare analytics tools on the market are briefly described.
The document provides an overview of health informatics by:
1. Defining key terms like informatics, biomedical informatics, health informatics, and discussing the relationships between related fields.
2. Explaining the data-information-knowledge-wisdom hierarchy and providing examples.
3. Describing health informatics as the optimal use of information, aided by technology, to improve health, healthcare, research, and more.
The Biggest Barriers to Healthcare InteroperabilityHealth Catalyst
Improving healthcare interoperability is a top priority for health systems today. Fundamental problems around improving interoperability include standardization of terminology and normalization of data to those standards. And, the volume of data healthcare IT systems produce exacerbates these problems.
While interoperability regulations focus on trying to make it easy to find and exchange patient data across multiple organizations and HIEs, the legislation’s lack of fine print and aggressive implementation timelines nearly ensures the proliferation of existing interoperability problems. This article discusses the biggest barriers to interoperability, possible solutions to interoperability problems, and why it matters.
This presentation discusses pathology informatics and laboratory information systems. It begins by defining pathology informatics and the pathologist's role as an information officer. It then describes common health care information systems, focusing on the laboratory information system. The key features of an LIS including hardware, software, specialized functions for anatomical and clinical pathology, and interfaces between information systems are explained. Finally, communication standards and the future of informatics are briefly discussed.
Health information systems (HIS) allow for the optimization of healthcare information acquisition, storage, retrieval, and usage. Key advantages of HIS include centralized data access across locations, increased efficiency through easy access to patient records and test results, improved security and confidentiality of patient data, increased storage capabilities, and improved accuracy through automated flagging of abnormal test results. However, HIS implementation presents disadvantages as well, most notably very high upfront and ongoing costs. Learning new systems also presents a learning curve challenge for some. On balance, the advantages of data access, efficiency, and patient care improvements provided by HIS are worth the costs.
The document discusses clinical decision support systems (CDSS), which are software designed to aid clinical decision making by matching patient characteristics to a computerized knowledge base. It describes several types of CDSS including knowledge-based systems, alerts and reminders, diagnostic assistance, therapy critiquing and prescribing decision support. It also discusses different knowledge representations, functionally classified systems, benefits and limitations of CDSS, and their future directions.
Health informatics is the interdisciplinary study of how to design, develop, apply and use information technology in healthcare to improve health services. It involves optimizing the acquisition, storage, retrieval and use of health information. Key applications include translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics and public health informatics. Health informatics uses mathematics and statistics to understand health data and probabilistic methods to determine clinical probabilities and integrate new data.
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...Sunil Nair
Clinical decision support systems (CDSS) aim to enhance patient care by intelligently presenting clinical knowledge and patient information to clinicians. Early CDSS focused on diagnosis but now emphasize a variety of applications. Effective CDSS integrate easily into clinical workflows, are user-friendly, and adapt based on monitoring impact. While CDSS can improve outcomes, their success depends on overcoming integration challenges and ensuring the technology supports rather than replaces clinicians.
The document discusses weaknesses in current approaches to patient safety and how data-driven tools can help address these weaknesses. It describes how health systems currently take a fragmented approach to safety that focuses on specific metrics rather than reducing all-causes of harm. New tools using integrated data, machine learning, and predictive analytics allow a more proactive approach by identifying risks, recommending interventions, and enabling improvements across the care continuum. The document advocates for a sociotechnical approach combining improvements to safety culture, processes, and technology.
The document discusses the OECD Recommendation on Health Data Governance. It notes that better policy frameworks are needed to make more effective use of health data. The recommendation was developed over two years with input from governments, civil society, and industry. It aims to establish national health data governance frameworks, promote privacy and data security, and enable cross-country research and statistics. The recommendation includes provisions around transparency, consent, oversight, and monitoring progress on implementation.
CARESOFT an Information technology company offering Computer software, IT services and IT consulting to our clients worldwide.
Health Industry being our prime domain CARESOFT provides Intelligent Healthcare Solutions to healthcare Verticals such as Hospitals, Specialty Clinics, Nursing Homes , Diagnostic Centers and Research Care Institutes among others.
We have 8 + years of domain expertise in healthcare processes & software systems and a huge satisfied client base of 300 + Healthcare organizations who have benefited from our solutions.
Machine Learning Tools Unlock the Most Critical Insights from Unstructured He...Health Catalyst
Patient comments such as “I feel dizzy” or “my stomach hurts” can tell clinicians a lot about an individual’s health, as can additional background, including zip code, employment status, access to transportation, and more. This critical information, however, is captured as free text, or unstructured data, making it impossible for traditional analytics to leverage.
Machine learning tools (e.g., NLP and text mining) help health systems better understand the patient and their circumstances by unlocking valuable insights residing unstructured data:
NLP analyzes large amounts of natural language data for human users.
Text mining derives value through the analysis of mass amounts of text (e.g., word frequency, length of words, etc.).
Bridging the Data and Trust Gaps: Why Health Catalyst Entered the Life Scienc...Health Catalyst
Why would a healthcare data warehousing and analytics company partner with the life sciences industry? Because trust and collaboration across the industry—between life sciences, healthcare delivery systems, and insurance—is the only path to real healthcare transformation.
Health Catalyst recognizes an industrywide improvement opportunity in collaborating with life sciences to build mutual trust, integrate data, and leverage analytics insights for a common interest (i.e., patient outcomes). By aligning themselves around human health fulfillment, Health Catalyst, their provider partners, and life sciences will advance important healthcare goals:
Improving clinical trial design and execution.
Stimulating clinical innovation.
Supporting population health.
Reducing pharmaceutical costs.
Improving drug safety and pharmacovigilance.
This document defines clinical decision support systems (CDSS) and outlines their key components and challenges. It begins by defining CDSS as computer programs that help health professionals make clinical decisions. It then describes the main categories of CDSS, including diagnostic assistance, therapy planning, and image recognition. The document outlines the typical system architecture of CDSS including tools for information management, focusing attention, and patient-specific consultation. It also discusses the need for CDSS, potential applications, disadvantages, and challenges to implementation. Throughout, it provides examples to illustrate different types of CDSS.
A hospital management information system (HMIS) provides:
1) A secure environment for electronic access and sharing of patient records and transactions across hospital departments.
2) Quick response for administrators to improve operational control.
3) Evaluation of hospital performance, costs, and long-term forecasts.
6 Steps for Implementing Successful Performance Improvement Initiatives in He...Health Catalyst
This document outlines six steps for implementing successful performance improvement initiatives in healthcare. It discusses establishing an analytics system to identify opportunities, prioritizing programs, defining permanent improvement teams, using a content system to define outcomes and interventions, and estimating return on investment. The goal is to provide a framework for sustainable performance gains through integrating improvement into strategy, using data analytics, deploying changes, and establishing ongoing monitoring teams.
Interoperability is one of the most critical issues facing the health care industry today. A universal exchange language is needed to assist health care providers in sharing health information in order to coordinate diagnosis and treatment, while maintaining privacy and security of personal data. Health Information Exchanges (HIE) allow for the movement of clinical data between disparate systems; they enable providers to electronically share health records through a network. This presentation provides an overview of HIE and the Meaningful Use requirement related to the exchange of clinical information as well as information about standards of exchange and the recommended "next steps" for providers.
Powerpoint on electronic health record lab 1nephrology193
This presentation provides an overview of electronic health records (EHR). It defines EHR as a digital format for documenting a patient's medical history maintained by healthcare providers. EHR files contain sections for different types of health information. The presentation outlines benefits of EHR such as reducing medical errors, improving quality of care through better disease management and education, and decreasing healthcare costs. It also discusses how EHR protects patient privacy through security measures and restrictions on who can access records.
Healthcare analytics uses vast amounts of medical data to provide insights that can improve patient care. It has applications such as optimizing staffing, electronic health records, enhancing patient engagement through wearables, preventing opioid abuse by identifying risk factors, and predictive analytics to anticipate conditions and streamline care. Researchers are working to address barriers to healthcare analytics like ensuring high quality training data, eliminating bias, protecting patient privacy, and gaining provider trust.
This presentation addresses
*Why do we need access to Health Data and Information?
*What are the challenges we have?
*What are the possible interventions that can be made so that access becomes easy for patients and doctors?
Artificial Intelligence (AI) is shaping and reshaping every industry under the sun. The Healthcare industry is not any exception.
In this presentation, I have discussed the basics of AI as well as how it is being used in various branches of the healthcare industry. I presented this topic in my departmental seminar in October 2021 and received appreciation as well as positive feedback in this regard.
An electronic health record (EHR) is a digital version of a patient's paper medical chart. An EHR contains the patient's medical history, diagnoses, medications, allergies, immunizations, lab tests, exams, photos, and more. EHRs allow authorized healthcare providers to securely access a patient's information electronically. This improves care coordination and makes health information instantly available across different healthcare organizations. EHR adoption among US doctors has increased in recent years due to federal incentives that aim to improve patient care through "Meaningful Use" of certified EHR systems.
This document discusses healthcare analytics. It begins by defining healthcare analytics as focusing on technologies and processes that measure, manage, and analyze healthcare data to enable more effective and efficient operational and clinical decisions. It then outlines the objectives of healthcare analytics as making decisions data-driven, transparent, verifiable, and robust. The document describes the main types of analytics as descriptive, predictive, diagnostic, and prescriptive. It also lists some common sources of healthcare data and how healthcare companies use analytics to reduce costs, improve patient outcomes, and conduct randomized clinical trials. Emerging technologies discussed include big data, AI/ML, blockchain, and AR/VR. Finally, some existing healthcare analytics tools on the market are briefly described.
The document provides an overview of health informatics by:
1. Defining key terms like informatics, biomedical informatics, health informatics, and discussing the relationships between related fields.
2. Explaining the data-information-knowledge-wisdom hierarchy and providing examples.
3. Describing health informatics as the optimal use of information, aided by technology, to improve health, healthcare, research, and more.
The Biggest Barriers to Healthcare InteroperabilityHealth Catalyst
Improving healthcare interoperability is a top priority for health systems today. Fundamental problems around improving interoperability include standardization of terminology and normalization of data to those standards. And, the volume of data healthcare IT systems produce exacerbates these problems.
While interoperability regulations focus on trying to make it easy to find and exchange patient data across multiple organizations and HIEs, the legislation’s lack of fine print and aggressive implementation timelines nearly ensures the proliferation of existing interoperability problems. This article discusses the biggest barriers to interoperability, possible solutions to interoperability problems, and why it matters.
This presentation discusses pathology informatics and laboratory information systems. It begins by defining pathology informatics and the pathologist's role as an information officer. It then describes common health care information systems, focusing on the laboratory information system. The key features of an LIS including hardware, software, specialized functions for anatomical and clinical pathology, and interfaces between information systems are explained. Finally, communication standards and the future of informatics are briefly discussed.
Health information systems (HIS) allow for the optimization of healthcare information acquisition, storage, retrieval, and usage. Key advantages of HIS include centralized data access across locations, increased efficiency through easy access to patient records and test results, improved security and confidentiality of patient data, increased storage capabilities, and improved accuracy through automated flagging of abnormal test results. However, HIS implementation presents disadvantages as well, most notably very high upfront and ongoing costs. Learning new systems also presents a learning curve challenge for some. On balance, the advantages of data access, efficiency, and patient care improvements provided by HIS are worth the costs.
The document discusses clinical decision support systems (CDSS), which are software designed to aid clinical decision making by matching patient characteristics to a computerized knowledge base. It describes several types of CDSS including knowledge-based systems, alerts and reminders, diagnostic assistance, therapy critiquing and prescribing decision support. It also discusses different knowledge representations, functionally classified systems, benefits and limitations of CDSS, and their future directions.
Health informatics is the interdisciplinary study of how to design, develop, apply and use information technology in healthcare to improve health services. It involves optimizing the acquisition, storage, retrieval and use of health information. Key applications include translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics and public health informatics. Health informatics uses mathematics and statistics to understand health data and probabilistic methods to determine clinical probabilities and integrate new data.
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...Sunil Nair
Clinical decision support systems (CDSS) aim to enhance patient care by intelligently presenting clinical knowledge and patient information to clinicians. Early CDSS focused on diagnosis but now emphasize a variety of applications. Effective CDSS integrate easily into clinical workflows, are user-friendly, and adapt based on monitoring impact. While CDSS can improve outcomes, their success depends on overcoming integration challenges and ensuring the technology supports rather than replaces clinicians.
The document discusses weaknesses in current approaches to patient safety and how data-driven tools can help address these weaknesses. It describes how health systems currently take a fragmented approach to safety that focuses on specific metrics rather than reducing all-causes of harm. New tools using integrated data, machine learning, and predictive analytics allow a more proactive approach by identifying risks, recommending interventions, and enabling improvements across the care continuum. The document advocates for a sociotechnical approach combining improvements to safety culture, processes, and technology.
The document discusses the OECD Recommendation on Health Data Governance. It notes that better policy frameworks are needed to make more effective use of health data. The recommendation was developed over two years with input from governments, civil society, and industry. It aims to establish national health data governance frameworks, promote privacy and data security, and enable cross-country research and statistics. The recommendation includes provisions around transparency, consent, oversight, and monitoring progress on implementation.
CARESOFT an Information technology company offering Computer software, IT services and IT consulting to our clients worldwide.
Health Industry being our prime domain CARESOFT provides Intelligent Healthcare Solutions to healthcare Verticals such as Hospitals, Specialty Clinics, Nursing Homes , Diagnostic Centers and Research Care Institutes among others.
We have 8 + years of domain expertise in healthcare processes & software systems and a huge satisfied client base of 300 + Healthcare organizations who have benefited from our solutions.
Machine Learning Tools Unlock the Most Critical Insights from Unstructured He...Health Catalyst
Patient comments such as “I feel dizzy” or “my stomach hurts” can tell clinicians a lot about an individual’s health, as can additional background, including zip code, employment status, access to transportation, and more. This critical information, however, is captured as free text, or unstructured data, making it impossible for traditional analytics to leverage.
Machine learning tools (e.g., NLP and text mining) help health systems better understand the patient and their circumstances by unlocking valuable insights residing unstructured data:
NLP analyzes large amounts of natural language data for human users.
Text mining derives value through the analysis of mass amounts of text (e.g., word frequency, length of words, etc.).
Bridging the Data and Trust Gaps: Why Health Catalyst Entered the Life Scienc...Health Catalyst
Why would a healthcare data warehousing and analytics company partner with the life sciences industry? Because trust and collaboration across the industry—between life sciences, healthcare delivery systems, and insurance—is the only path to real healthcare transformation.
Health Catalyst recognizes an industrywide improvement opportunity in collaborating with life sciences to build mutual trust, integrate data, and leverage analytics insights for a common interest (i.e., patient outcomes). By aligning themselves around human health fulfillment, Health Catalyst, their provider partners, and life sciences will advance important healthcare goals:
Improving clinical trial design and execution.
Stimulating clinical innovation.
Supporting population health.
Reducing pharmaceutical costs.
Improving drug safety and pharmacovigilance.
Going Beyond Genomics in Precision Medicine: What's NextHealth Catalyst
Precision medicine processes, while involving genomics, are not confined to working with data about an individual’s genes, environment, and lifestyle. Precision medicine also means putting patients on the right path of care, taking into consideration other individual tolerances, such as participation and cost. Precision medicine processes incorporate data beyond the individual, pulling in socio-economic data, as well as relevant internal and external data, to create an entire patient data ecosystem. With reusable data modules, this information is processed within a closed-loop analytics framework to facilitate clinical decision making at the point of care. This optimizes clinical workflow, thus leading to more precise medicine.
2015 05 01 Pop Health - Laying the Foundation (00000002)Dana Alexander
This document discusses population health management and outlines four key aspects: data control and governance, population management and risk stratification, care management, and patient engagement. It summarizes the challenges of collecting and analyzing large amounts of patient data from electronic health records, developing risk profiles of patient subgroups, implementing targeted care models, and encouraging patient accountability through new technologies. The overall goal is for healthcare organizations to successfully address these areas and achieve true population health management.
Creating a Data-Driven Research Ecosystem with Patients at the CenterHealth Catalyst
As patient data because one of the healthcare industry’s most valuable assets, organizations are establishing new practices around accessing and handling data. In question is the practice of de-identifying patient data for widespread cross-organizational data collaboration without compromising patient privacy. But because deeper and richer data drives better clinical understanding and, ultimately, better outcomes, does separating patients from their health data and how it’s used give researchers and developers the best insights? Or do data users risk losing critical connection with the patients and insights into therapies their lives, disease, treatments, and deaths that contribute to new therapeutic approaches?
It’s time to consider a progressive approach to patient data that keeps the patients involved by informing them when and how their data is used to earn trust and engagement, making patients partners in data-driven healthcare transformation.
Six Proven Methods to Combat COVID-19 with Real-World AnalyticsHealth Catalyst
The document discusses six proven methods for health systems to leverage real-world analytics in combating COVID-19. It outlines that while health systems now have abundant data due to EHR adoption, they often fail to advance data use beyond aggregation. During the COVID-19 pandemic, real-world analytics that transform data into actionable insights are critical. The six methods discussed are: creating effective information displays, adding context to data, ensuring sustainable data processes, identifying high-quality data, providing systemwide access to data, and refining the approach to knowledge management.
Advancing Health Equity: A Data-Driven Approach Closes the Gap Between Intent...Health Catalyst
Improving health equity is gaining traction as a healthcare delivery imperative. Yet, while equity is indivisible from healthcare quality, many initiatives targeting disparities fall short. Organizations too often rely solely on leader and stakeholder passion and perseverance without sufficiently leveraging data and analytics to understand, measure, and support equity improvement efforts. It’s time for the industry to pursue equitable care with the same resources it uses in other key dimensions, such as safety and efficacy—by leveraging data. A data-driven approach to equity opens health system’s most advanced predictive resources to equity efforts, thereby driving massive, measurable, data-informed improvement that benefits all.
Pairing HIE Data with an Analytics Platform: Four Key Improvement CategoriesHealth Catalyst
Population health and value-based payment demand data from multiple sources and multiple organizations. Health systems must access information from across the continuum of care to accurately understand their patients’ healthcare needs beyond the acute-care setting (e.g., reports and results from primary care and specialists). While health system EHRs have a wealth of big-picture data about healthcare delivery (e.g., patient satisfaction, cost, and outcomes), HIEs add the clinical data (e.g., records and transactions) to round out the bigger picture of patient care, as well as the data sharing capabilities needed to disseminate the information.
By pairing HIE capability with an advanced analytics platform, a health system can leverage data to improve processes in four important outcomes improvement areas:
Workflow
Machine learning
Professional services
Data governance
This document provides an overview of open health data initiatives in the United States, United Kingdom, Austria, Belgium, and France. It highlights several projects in each country that utilize open government health data to create applications, tools, and services. These initiatives aim to improve transparency, spur innovation, and empower citizens and patients. The document also discusses some of the economic and social impacts and challenges of open health data.
This qualitative overview of the Open Health Data initiatives is meant to showcase the importance of open health data, social as well as economic impacts across US, UK and a select set of Western European countries. This overview is not meant to be a comprehensive report on all the global initiatives, funding models and tracking of open health data. There are tremendous efforts across the globe to change our global healthcare system and we believe that open health data is one of the keys to bridge the gap between digital citizens & governments. Also, please note that if your country, initiative or product was not mentioned, it is in no way meant to diminish the impact of the efforts. Please feel free to share, discuss and contribute to the list of ongoing efforts and initiatives on one of our global communities or on openhealthdata.org.
Why Patient-Reported Outcomes Are the Future of HealthcareHealth Catalyst
Ruth, an 80-year-old woman, moves into a retirement community equipped with sensors to monitor her health and daily activities. The sensors collect patient-reported outcome data which is transmitted to her healthcare providers. Artificial intelligence algorithms analyze the data for signs of clinical deterioration. This allows Ruth's care team to intervene early and help her live independently for longer.
Healthcare Data: Creating a Learning Healthcare EcosystemHealth Catalyst
The document discusses several topics related to healthcare data and creating a learning healthcare ecosystem. It notes that patients want more involvement in their health and data use, but this can be difficult with de-identified data. Next-generation models will focus on using data to improve outcomes rather than data licensing. Large data assets should be managed by neutral third parties focused on improving clinical outcomes, not companies owned by payers, providers, or manufacturers. The document advocates for combining diverse data sets to provide a full picture of patient journeys and help all types of organizations.
AI in Healthcare: Finding the Right Answers FasterHealth Catalyst
Health systems rely on data to make informed decisions—but only if that data leads to the right conclusion. Health systems often use common analytic methods to draw the wrong conclusions that lead to wasted resources and worse outcomes for patients. It is crucial for data leaders to lay the right data foundation before applying AI, select the best data visualization tool, and prepare to overcome five common roadblocks with AI in healthcare:
Predictive Analysis Before Diagnostic Analysis Leads to Correlation but Not Causation.
Change Management Isn’t Considered Part of the Process.
The Wrong Terms to Describe the Work.
Trying to Compensate for Low Data Literacy Resulting in Unclear Conclusions.
Lack of Agreement on Definitions Causes Confusion.
As AI provides more efficiency and power in healthcare, organizations still need a collaborative approach, deep understanding of data processes, and strong leadership to effect real change.
The document describes a consumer-centric health portal called S5Health that allows users to:
- Upload biometric data from devices to visualize trends and share with providers.
- Securely communicate with health plans, providers, and employers to optimize healthcare information flow.
- Participate in social media and behavioral reward programs within the platform to increase compliance.
- Represent the clinical, social, behavioral and financial needs of consumers.
WV transformation slide show may conference2Jack Shaffer
The document discusses West Virginia's vision for transforming its Medicaid program and healthcare system through the use of health information technology and electronic health records by 2020. It outlines strategies around collaboration, open solutions, and innovation to achieve an integrated system with interconnected EHRs, personal health records, telehealth, and mobile access to patient information. Key goals include widespread adoption of EHRs, health information exchange networks, and use of open-source software by 2020.
Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016Wernhard Berger
The document discusses the Connected Health Interoperability Platform (CHIP) being developed by UC San Francisco's Center for Digital Health Innovation and Cisco. The CHIP aims to break down barriers to digital health innovation by creating a platform that connects digital health applications to dispersed patient data through a secure, cloud-hosted system with API services. This will allow applications to access and share data across EHRs, devices, and apps to improve referral management, care collaboration and the patient experience. The platform will include a health applications marketplace, core data and security services, and tools for application development.
1) Wearable technologies can help create a more individualized and preventative approach to healthcare that significantly reduces costs by monitoring vital signs and activity levels in real-time.
2) Sharing health data from wearables with doctors and insurers allows for timely feedback and treatment while also incentivizing individuals to engage in preventative care through rewards programs.
3) However, using wearable data in healthcare raises privacy issues that must comply with regulations like HIPAA, and organizations collecting and sharing health data could face legal liabilities depending on how the data is used and interpreted.
Population Health Success: Three Ways to Leverage DataHealth Catalyst
As the healthcare industry continues to focus on value, rather than volume, health systems are faced with delivering quality care to large populations with limited resources. To implement population health initiatives and deliver results, it is critical that care teams build population health strategies on actionable, up-to-date data. Health systems can better leverage data within population health and drive long-lasting change by implementing three small changes:
Increase team members’ access to data.
Support widespread data utilization.
Implement one source of data truth.
Access to accurate, reliable data boosts population health efforts while maintaining cost and improving outcomes. With actionable analytics providing insight and guiding decisions, population health teams can drive real change within their patient populations.
Social Determinants of Health: Tools to Leverage Today's Data ImperativeHealth Catalyst
Social determinants of health (SDOH) data captures impacts on patient health beyond the healthcare delivery system. Traditional health data (e.g., from healthcare encounters) only tells a portion of the patient and population health story. To understand the full spectrum of health impacts (e.g., from environment to relationship and employment status), organizations need data from their patient’s daily lives. The urgency for SDOH data is particularly strong today, as value-based payment increasingly presses health systems to raise quality and lower cost. Without fuller insight into patient health (what happens beyond healthcare encounters) organizations can’t align with community services to help patients meet needs of daily living—prerequisites for maintaining good health.
Standardizing SDOH data into healthcare workflows, however, requires an informed strategy. Health systems will benefit by following a standardization protocol that includes relevant and comprehensive domains, engages patients, enables broader understanding of patient health, integrates with organizational EHRs, and is easy for clinicians to follow.
The document discusses improving health in communities by aligning incentives to make health profitable. It notes the US healthcare system is strained by chronic conditions exacerbated by an aging population. Experts discuss changing models and behaviors, and how to ensure healthcare reform improves overall community health rather than just preserving existing imbalances. Key ideas discussed include making health states profitable through business models, improving data sharing and transparency, and driving behavioral changes through community efforts.
Similar to Interoperability in Healthcare Data: A Life-Saving Advantage (20)
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
Unlock the Secrets to Optimizing Ambulatory Operations Efficiency and Change ...Health Catalyst
Today’s healthcare leaders are seeking technology solutions to optimize efficiencies and improve patient care. However, without effective change management and strategies in place, healthcare leaders struggle to strategically improve patient flow, space, to strategically improve patient flow, space, and schedule management, and implement daily huddles. The role of technology in supporting operational efficiency and change management initiatives is inevitable.
During this webinar, attendees will learn how to optimize Ambulatory Operational Efficiencies and Change Management. Attendees will also learn about the importance of visual management boards in enhancing clinic performance and insights into effective change management approaches.
Patient expectations are rising, and organizations are continuously being asked to do more with less.
Additionally, the convergence of several significant emerging market and policy trends, economic uncertainty, labor force shortages, and the end of the COVID-19 public health emergency has created a unique set of challenges for healthcare organizations.
Attend this timely webinar to learn about new trends and their impact on key healthcare issues, such as patient engagement, migration to value-based care, analytics adoption, the use of alternative care sites, and data governance and management challenges.
During this webinar, we will discuss the complexities of AI, trends, and platforms in the industry. Dive deep into understanding the true essence of AI, exploring its potential, real-world use cases, and common misconceptions. Gain valuable insights into the latest technology trends impacting healthcare and discover strategies for maximizing ROI in your technology investments.
Explore the profound impact of data literacy on healthcare organizations and how it shapes the utilization of data and technology for transformative outcomes. Understand the top technology priorities for healthcare organizations and learn how to navigate the digital landscape effectively. Furthermore, simplify industry jargon by defining common data elements, fostering clearer communication and collaboration across stakeholders.
Finally, uncover the transformative potentials of platforms in healthcare and how they can revolutionize scalability, interoperability, and innovation within your organization. Don't miss this opportunity to gain invaluable insights from industry experts and stay ahead in the ever-evolving healthcare landscape. Reserve your spot now for an enlightening journey into the future of healthcare technology!
Three Keys to a Successful Margin: Charges, Costs, and LaborHealth Catalyst
How can cost management and complete charge capture protect and enhance the margin?
In this webinar, we will look at 2024 margin pressures likely to impact your organization’s financial resiliency. This presentation will also share how organizations can move from Fee-for-Service to Value; bringing Cost to the forefront.
2024 CPT® Updates (Professional Services Focused) - Part 3Health Catalyst
Each year the CPT code set undergoes significant changes. Physicians and their office staff need to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This presentation will focus on the changes to the CPT dataset and the associated work RVU value changes that impact professional service reporting.
During this complimentary webinar, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. You will leave with an understanding of the financial implications of the changes on your practice.
2024 CPT® Code Updates (HIM Focused) - Part 2Health Catalyst
Each year the CPT code set and the HCPCS code set undergo significant changes, and your coding staff needs to be aware of the changes in order to ensure a smooth transition into 2024. Join us for a discussion of the new, deleted and revised CPT codes and associated guidelines for 2024. This is part two in a three-part series.
During these complimentary webinars, we will empower you to correctly apply the new and revised codes and discuss the rationale behind this year’s changes. This presentation will be geared towards hospital staff with a focus on the surgical section of the CPT book in addition to surgical Category III codes.
2024 CPT® Code Updates (CDM Focused) - Part 1Health Catalyst
The document provides an overview of changes to CPT codes that will take effect in 2024, with a focus on changes relevant to clinical documentation. Key points include:
- There are 145 total codes added, 34 deleted, and 55 revised across various sections.
- Changes are provided for the Radiology, Laboratory/Pathology, and Category III sections. New codes are added for things like non-invasive coronary FFR estimation using AI and various intraoperative ultrasound exams.
- Guidelines are established for new genomic sequencing procedures codes focusing on solid organ and hematolymphoid neoplasms. Definitions are also provided for various genomic analysis techniques.
- Several Tier I and Tier II molecular
What’s Next for Hospital Price Transparency in 2024 and BeyondHealth Catalyst
The Centers for Medicare & Medicaid Services (CMS) published updates to the hospital price transparency requirements in the CY 2024 Outpatient Prospective Payment System (OPPS) Final Rule. The updates will be phased in over the next 14 months and include several significant changes including the use of a CMS-mandated template, a requirement for an affirmation statement from the hospital, and several new data elements. Join us to discover what changes are scheduled for implementation in 2024 and 2025 and how they’ll impact your facility.
During this complimentary 60-minute webinar, we’ll analyze the key provisions of the Price Transparency regulations and provide insights to help you prepare for the upcoming changes.
Automated Patient Reported Outcomes (PROs) for Hip & Knee ReplacementHealth Catalyst
What was once voluntary reporting will soon be made mandatory with penalties.
On July 1, 2024, all health systems will be required to collect Patient Reported Outcome Measures (PROM) as part of the Centers for Medicare & Medicaid Services (CMS) regulation for the following measures:
Hospital-Level, Risk Standardized Patient-Reported Outcomes Performance Measure (PRO-PM) Following Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA)
Hospital-Level Risk-Standardized Complication Rate (RSCR) Following Elective Primary THA/TKA
Are you equipped to handle these new requirements?
Mandatory data collection begins April 1, 2024, and failure to submit timely data can result in a 25 percent reduction in payments by Medicare.
Attend this webinar to learn how mobile engagement can empower your organization to meet this requirement.
2024 Medicare Physician Fee Schedule (MPFS) Final Rule UpdatesHealth Catalyst
According to the Centers for Medicare & Medicaid Services (CMS), the calendar year (CY) 2024 MPFS final rule was created to advance health equity and improve access to affordable healthcare. This webinar will cover the major policy updates of the MPFS final rule including updates to the telehealth services policy and remote monitoring services and enrollment of MFTs and MHCs as Medicare providers. The conversation will also cover policy changes on split (or shared) evaluation and management (E/M) visits, and the Appropriate Use Criteria (AUC) for Advanced Diagnostic Imaging.
What's Next for OPPS: A Look at the 2024 Final RuleHealth Catalyst
During this webinar, we’ll analyze the key provisions of the OPPS final rule and identify the significant changes for the coming year to help prepare your staff for compliance with the 2024 Medicare outpatient billing guidelines.
Insight into the 2024 ICD-10 PCS Updates - Part 2Health Catalyst
Three new codes were added to describe procedures involving a short-term external heart assist system inserted into the descending thoracic aorta. Codes were also added for fluorescence guided procedures of the female reproductive system and trunk region using pafolacianine. Additionally, new technology codes were introduced for insertion of intraluminal devices such as venous valves, leadless pacemakers, and artery bypass procedures.
Vitalware Insight Into the 2024 ICD10 CM Updates.pdfHealth Catalyst
This document provides an overview of upcoming changes to ICD-10-CM codes for fiscal year 2024. It notes that there will be 395 new codes, 13 revisions, and 25 deletions. Specific changes include 18 new major complication or comorbidity (MCC) codes, 3 deleted MCC codes, 79 new CC codes, and 8 deleted CC codes. The presentation reviews code additions, deletions, and revisions for various body systems and disease chapters. It also outlines changes to the MCC and CC lists as well as Medicare Severity Diagnosis Related Groups (MS-DRG) updates.
Driving Value: Boosting Clinical Registry Value Using ARMUS SolutionsHealth Catalyst
Many hospitals today face a perfect storm of operational and financial challenges. With increasing competition from outpatient facilities and rising care costs negatively impacting budgets, now is the time to boost your clinical registry’s value. However, collecting and analyzing data can be time-consuming and costly without the right tools. During this webinar, we will share insights and best practices for increasing the value of registry participation and how it’s possible to reduce costs while improving outcomes using the ARMUS Product Suite.
Tech-Enabled Managed Services: Not Your Average OutsourcingHealth Catalyst
The document discusses tech-enabled managed services (TEMS) as an alternative to traditional outsourcing. TEMS aims to reduce costs for health systems while maintaining performance, employees, and culture. It achieves this through specialized partnering, alleviating financial pressures, and ensuring dependable performance using a combination of people, processes, technology, and data. TEMS rebadges existing employees and takes on open positions to prevent workforce reductions. It also maintains existing processes while implementing new technology. This model is said to create wins for Health Catalyst through new employees, the health system through reduced costs and governed performance, and employees through continued work and an improved experience.
This webinar will provide an in-depth review of the CPT/HCPCS code set changes that will be effective on July 1, 2023. The review will include additions and deletions to the CPT/HCPCS code set, revisions of code descriptors, payment changes, and rationale behind the changes.
How Managing Chronic Conditions Is Streamlined with Digital TechnologyHealth Catalyst
Chronic conditions across the United States are prevalent and continue to rise. Managing one or more chronic diseases can be very challenging for patients who may be overwhelmed or confused about their care plan and may not have access to the resources they need. At the same time, care teams are overburdened, making it difficult to provide the support these patients require to stay as healthy as possible. A new approach to chronic condition management leverages technology to enable organizations to scale high-quality care, identify gaps in care, provide personalized support, and monitor patients on an ongoing basis. Such streamlined management will result in better outcomes, reduced costs, and more satisfied patients.
COVID-19: After the Public Health Emergency EndsHealth Catalyst
In this fast-paced webinar, we will discuss the impact of the end of the public health emergency (PHE), including upcoming changes to the different flexibilities allowed during the PHE and the timeline for when these flexibilities will end. We’ll also cover coding changes and reimbursement updates.
Automated Medication Compliance Tools for the Provider and PatientHealth Catalyst
When it comes to sustaining patient health outcomes, compliance and adherence to medication regimens are critically important, especially as providers manage patients with complex care needs and multiple medications. But, with provider burnout and staffing shortages at an all-time high, an efficient solution is critical. The use of automated medication management workflows to decrease provider burnout, while improving both medication compliance and patient engagement, is the way forward.
Trauma Outpatient Center is a comprehensive facility dedicated to addressing mental health challenges and providing medication-assisted treatment. We offer a diverse range of services aimed at assisting individuals in overcoming addiction, mental health disorders, and related obstacles. Our team consists of seasoned professionals who are both experienced and compassionate, committed to delivering the highest standard of care to our clients. By utilizing evidence-based treatment methods, we strive to help our clients achieve their goals and lead healthier, more fulfilling lives.
Our mission is to provide a safe and supportive environment where our clients can receive the highest quality of care. We are dedicated to assisting our clients in reaching their objectives and improving their overall well-being. We prioritize our clients' needs and individualize treatment plans to ensure they receive tailored care. Our approach is rooted in evidence-based practices proven effective in treating addiction and mental health disorders.
Chandrima Spa Ajman is one of the leading Massage Center in Ajman, which is open 24 hours exclusively for men. Being one of the most affordable Spa in Ajman, we offer Body to Body massage, Kerala Massage, Malayali Massage, Indian Massage, Pakistani Massage Russian massage, Thai massage, Swedish massage, Hot Stone Massage, Deep Tissue Massage, and many more. Indulge in the ultimate massage experience and book your appointment today. We are confident that you will leave our Massage spa feeling refreshed, rejuvenated, and ready to take on the world.
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Healthy Eating Habits:
Understanding Nutrition Labels: Teaches how to read and interpret food labels, focusing on serving sizes, calorie intake, and nutrients to limit or include.
Tips for Healthy Eating: Offers practical advice such as incorporating a variety of foods, practicing moderation, staying hydrated, and eating mindfully.
Benefits of Regular Exercise:
Physical Benefits: Discusses how exercise aids in weight management, muscle and bone health, cardiovascular health, and flexibility.
Mental Benefits: Explains the psychological advantages, including stress reduction, improved mood, and better sleep.
Tips for Staying Active:
Encourages consistency, variety in exercises, setting realistic goals, and finding enjoyable activities to maintain motivation.
Maintaining a Balanced Lifestyle:
Integrating Nutrition and Exercise: Suggests meal planning and incorporating physical activity into daily routines.
Monitoring Progress: Recommends tracking food intake and exercise, regular health check-ups, and provides tips for achieving balance, such as getting sufficient sleep, managing stress, and staying socially active.
Deep Leg Vein Thrombosis (DVT): Meaning, Causes, Symptoms, Treatment, and Mor...The Lifesciences Magazine
Deep Leg Vein Thrombosis occurs when a blood clot forms in one or more of the deep veins in the legs. These clots can impede blood flow, leading to severe complications.
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardso...rightmanforbloodline
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardson, Verified Chapters 1 - 18, Complete Newest Version
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardson, Verified Chapters 1 - 18, Complete Newest Version
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardson, Verified Chapters 1 - 18, Complete Newest Version
Unlocking the Secrets to Safe Patient Handling.pdfLift Ability
Furthermore, the time constraints and workload in healthcare settings can make it challenging for caregivers to prioritise safe patient handling Australia practices, leading to shortcuts and increased risks.
LGBTQ+ Adults: Unique Opportunities and Inclusive Approaches to CareVITASAuthor
This webinar helps clinicians understand the unique healthcare needs of the LGBTQ+ community, primarily in relation to end-of-life care. Topics include social and cultural background and challenges, healthcare disparities, advanced care planning, and strategies for reaching the community and improving quality of care.
Feeding plate for a newborn with Cleft Palate.pptxSatvikaPrasad
A feeding plate is a prosthetic device used for newborns with a cleft palate to assist in feeding and improve nutrition intake. From a prosthodontic perspective, this plate acts as a barrier between the oral and nasal cavities, facilitating effective sucking and swallowing by providing a more normal anatomical structure. It helps to prevent milk from entering the nasal passage, thereby reducing the risk of aspiration and enhancing the infant's ability to feed efficiently. The feeding plate also aids in the development of the oral muscles and can contribute to better growth and weight gain. Its custom fabrication and proper fitting by a prosthodontist are crucial for ensuring comfort and functionality, as well as for minimizing potential complications. Early intervention with a feeding plate can significantly improve the quality of life for both the infant and the parents.
Dr. David Greene R3 stem cell Breakthroughs: Stem Cell Therapy in CardiologyR3 Stem Cell
Dr. David Greene, founder and CEO of R3 Stem Cell, is at the forefront of groundbreaking research in the field of cardiology, focusing on the transformative potential of stem cell therapy. His latest work emphasizes innovative approaches to treating heart disease, aiming to repair damaged heart tissue and improve heart function through the use of advanced stem cell techniques. This research promises not only to enhance the quality of life for patients with chronic heart conditions but also to pave the way for new, more effective treatments. Dr. Greene's work is notable for its focus on safety, efficacy, and the potential to significantly reduce the need for invasive surgeries and long-term medication, positioning stem cell therapy as a key player in the future of cardiac care.
INFECTION OF THE BRAIN -ENCEPHALITIS ( PPT)blessyjannu21
Neurological system includes brain and spinal cord. It plays an important role in functioning of our body. Encephalitis is the inflammation of the brain. Causes include viral infections, infections from insect bites or an autoimmune reaction that affects the brain. It can be life-threatening or cause long-term complications. Treatment varies, but most people require hospitalization so they can receive intensive treatment, including life support.
Under Pressure : Kenneth Kruk's StrategyKenneth Kruk
Kenneth Kruk's story of transforming challenges into opportunities by leading successful medical record transitions and bridging scientific knowledge gaps during COVID-19.
Gemma Wean- Nutritional solution for Artemiasmuskaan0008
GEMMA Wean is a high end larval co-feeding and weaning diet aimed at Artemia optimisation and is fortified with a high level of proteins and phospholipids. GEMMA Wean provides the early weaned juveniles with dedicated fish nutrition and is an ideal follow on from GEMMA Micro or Artemia.
GEMMA Wean has an optimised nutritional balance and physical quality so that it flows more freely and spreads readily on the water surface. The balance of phospholipid classes to- gether with the production technology based on a low temperature extrusion process improve the physical aspect of the pellets while still retaining the high phospholipid content.
GEMMA Wean is available in 0.1mm, 0.2mm and 0.3mm. There is also a 0.5mm micro-pellet, GEMMA Wean Diamond, which covers the early nursery stage from post-weaning to pre-growing.
Let's Talk About It: Breast Cancer (What is Mindset and Does it Really Matter?)bkling
Your mindset is the way you make sense of the world around you. This lens influences the way you think, the way you feel, and how you might behave in certain situations. Let's talk about mindset myths that can get us into trouble and ways to cultivate a mindset to support your cancer survivorship in authentic ways. Let’s Talk About It!
Stem Cell Solutions: Dr. David Greene's Path to Non-Surgical Cardiac CareDr. David Greene Arizona
Explore the groundbreaking work of Dr. David Greene, a pioneer in regenerative medicine, who is revolutionizing the field of cardiology through stem cell therapy in Arizona. This ppt delves into how Dr. Greene's innovative approach is providing non-surgical, effective treatments for heart disease, using the body's own cells to repair heart damage and improve patient outcomes. Learn about the science behind stem cell therapy, its benefits over traditional cardiac surgeries, and the promising future it holds for modern medicine. Join us as we uncover how Dr. Greene's commitment to stem cell research and therapy is setting new standards in healthcare and offering new hope to cardiac patients.
International Cancer Survivors Day is celebrated during June, placing the spotlight not only on cancer survivors, but also their caregivers.
CANSA has compiled a list of tips and guidelines of support:
https://cansa.org.za/who-cares-for-cancer-patients-caregivers/
This particular slides consist of- what is hypotension,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is the summary of hypotension:
Hypotension, or low blood pressure, is when the pressure of blood circulating in the body is lower than normal or expected. It's only a problem if it negatively impacts the body and causes symptoms. Normal blood pressure is usually between 90/60 mmHg and 120/80 mmHg, but pressures below 90/60 are generally considered hypotensive.