Overview of the popHealth® open source population health and CQM Reporting system. Discussion about CCDs and QRDAs. Background and history of popHealth® open source software. Includes data flows and screen shots. Presented to Quinnipiac Medical School students.
– Implementation of a Population Health and Quality Reporting System for FQHC...SMC Partners, LLC
The CT Regional Extension Center, in conjunction with the FQHCs in CT, is implementing popHealth®. popHealth® is open source software that will be used for population health improvement and Quality reporting. This presentation is an overview of the project. This was presented at Connecting Health for Michigan Conference June 2014 by Jackie Mulhall, eHCT.
Overview of the popHealth® open source population health and CQM Reporting system. Includes information on eHealthConnecticut FQHC implementation of popHealth®. Description of CCDs and QRDAs as well as pros and cons of using each. Includes popHealth® screen shots. Presented by Jackie Mulhall, eHCT, at Connecting Michigan for Health Conference June 2014.
Wah data analysis_utilization_december52012Alison Perez
1. This document discusses upcoming technical updates for electronic data presentation at various levels, including the individual patient level, health facility level, and municipal/provincial levels.
2. It will present data through graphs generated from the FHSIS database either directly through online query tools or by exporting data to Excel. Standardized templates will be used to present key health indicators in consistent formats.
3. An indicator matrix is introduced to map out how selected FHSIS indicators will be presented electronically through different graph types based on their purpose as trends, distributions, or comparisons across spatial and time periods.
The latest changes from CMS regarding Meaningful Use Stage 3 , CCDA and reporting measures. We discuss the effort required, estimates in terms of cost and timelines.
– Implementation of a Population Health and Quality Reporting System for FQHC...SMC Partners, LLC
The CT Regional Extension Center, in conjunction with the FQHCs in CT, is implementing popHealth®. popHealth® is open source software that will be used for population health improvement and Quality reporting. This presentation is an overview of the project. This was presented at Connecting Health for Michigan Conference June 2014 by Jackie Mulhall, eHCT.
Overview of the popHealth® open source population health and CQM Reporting system. Includes information on eHealthConnecticut FQHC implementation of popHealth®. Description of CCDs and QRDAs as well as pros and cons of using each. Includes popHealth® screen shots. Presented by Jackie Mulhall, eHCT, at Connecting Michigan for Health Conference June 2014.
Wah data analysis_utilization_december52012Alison Perez
1. This document discusses upcoming technical updates for electronic data presentation at various levels, including the individual patient level, health facility level, and municipal/provincial levels.
2. It will present data through graphs generated from the FHSIS database either directly through online query tools or by exporting data to Excel. Standardized templates will be used to present key health indicators in consistent formats.
3. An indicator matrix is introduced to map out how selected FHSIS indicators will be presented electronically through different graph types based on their purpose as trends, distributions, or comparisons across spatial and time periods.
The latest changes from CMS regarding Meaningful Use Stage 3 , CCDA and reporting measures. We discuss the effort required, estimates in terms of cost and timelines.
Clinical Data Collection & Clinical Data Management Naveen BalajiNaveen Balaji
The document discusses clinical trial data collection and management. It covers 11 major sections including introduction, data collection vs management, communication tools used, pure paper-based systems, electronic-based systems, hybrid systems, acquiring software from vendors, and processes before, during, and after data collection. Communication tools discussed include meetings, telephone, fax, email, websites, and file transfer protocol. Pure paper-based systems do not require computers but have large data editing overhead at the central location.
This document discusses the core elements of a typical electronic health record (EHR) system, including hardware and software components. It describes the server elements like application, database, and terminal servers that securely store patient data. It outlines the client devices like desktops, laptops, and mobile devices that healthcare staff use to access EHR systems. It also explains the network infrastructure of local and wide area networks needed to allow access to stored health information.
Strengthening the Health Management Information System: Pilot Assessment of D...HFG Project
The Government of India’s Ministry of Health and Family Welfare (MoHFW) places rigorous emphasis on evidence-based planning, monitoring, and supervision of public health services. Generation and use of reliable, quality health data is crucial for improving the quality of health services, especially to achieve the maternal and child health goals aimed for under the strategic reproductive, maternal, newborn, child, and adolescent health (RMNCH+A) initiative. The Health Management Information System (HMIS), envisioned as the “single window” for all public health data in the country, is thus a critical resource for the government. The MoHFW was supported by the USAID-funded Health Finance and Governance (HFG) project for third party assessment (TPA) of HMIS data quality to strengthen HMIS performance.
Partners In Health Rwanda (IMB) @ OpenMRS Maputo2015lnball
This document summarizes the management and use of an electronic medical record (EMR) system across multiple health districts in Rwanda. It describes the teams responsible for system management, implementation, and maintenance. It also provides an overview of how clinical data from the EMR is currently used for direct patient care, program monitoring, and influencing health policy. Finally, it outlines ongoing efforts between the Ministry of Health and partners to harmonize EMR implementations and terminology to improve data sharing and sustainability.
Pharmacoinformatics is an interdisciplinary field that uses information technology to support the discovery, development, and use of medications. It includes developing technologies to improve drug delivery and analyzing data generated from healthcare systems related to medication use. Pharmacoinformatics draws from many areas including neuroinformatics, genome informatics, toxicoinformatics, and healthcare informatics. It has applications in research and development, patient profiling, decision support, medication information systems, and telepharmacy.
VistA, the Veterans Affairs electronic health record system, has potential for use in research by allowing researchers to reuse existing clinical data, collect additional data within the system, and store all research data in a centralized integrated system. Methods for extracting data from VistA include the Mumps Data Extractor and Cache Shadowing utilities, which can export data to SQL for analysis in other programs. Examples of studies that have utilized VistA data include those examining demographics, medical diagnoses, interventions, and health outcomes.
The document discusses the Indian Health Service (IHS), which provides healthcare to over 1.6 million American Indians and Alaska Natives. IHS operates nearly 600 facilities, including hospitals, health centers, and urban programs. It uses the Resource and Patient Management System (RPMS) as its electronic health record system to support clinical care, public health, research, and performance assessment. RPMS integrates various clinical and administrative applications to support care across IHS facilities.
Bahmni is an open source hospital information system and electronic medical record designed for resource-constrained environments. It is built on OpenMRS and allows for zero-code implementations through configuration. Bahmni has been implemented in over 25 locations across 16 countries, ranging from 20-200 bed hospitals. It provides functionality for registration, observations, orders, reports and integrates with other systems for laboratory, billing and inventory.
Benefits of Using an EDC System
Contact info@trialjoin.com for more information about patient recruitment help, obtaining new studies or help with site management.
The document discusses data quality reviews (DQR) which have two components: data verification and system assessment. Data verification examines reporting accuracy by reviewing source documents and comparing recounted data to reported data. System assessment reviews the adequacy of data collection, reporting, analysis and use. Facilities and districts are surveyed. Data verification calculates a verification factor to indicate over or under-reporting. System assessment identifies areas of weakness like lack of guidelines, training or supervision. Findings are analyzed by facility type, ownership, location to identify areas for improvement.
Here is our corporate profile, you will find information about all our solutions for vaccines clinical trials and also patient's programs. We have a variety of mobile and web apps that have been developed to enhance and improve your results in any clinical trial or patient care system.
Trapollo is a managed service company that focuses on building and maintaining large-scale remote health monitoring programs across the United States. It partners with payers, providers, manufacturers and other organizations to design and implement remote patient monitoring programs. Trapollo's services include program design, device management, clinical monitoring, data analytics and technical support. It utilizes its proprietary Trapollo Management Console software to integrate technologies, manage patient data and run all aspects of remote monitoring programs. Trapollo aims to help healthcare organizations improve outcomes and lower costs through remote patient monitoring.
This document discusses electronic clinical quality measures (eCQMs) which are designed to leverage health information technology (HIT) to improve quality measurement. eCQMs use standardized data elements and terminology to measure care quality based on information in electronic health records. Effective eCQM reporting requires structured, coded data and use of standards for measure specification, calculation, and reporting. Widespread use of eCQMs could revolutionize quality measurement by facilitating automated reporting and improving data quality.
EHR certification requirements, and the capabilities an EHR should build to be eligible for QPP. Interoperability, data access and security are some of the core of QPP.
The 3 main types of reports are:
1) Summary reports that summarize the data
2) Listings reports that list the entire data as is
3) Figures and graphs that provide graphical representations of the data
A programming plan outlines the algorithms, data presentations, and programming standards to generate derived datasets. Test plans are created for quality control to validate the derived datasets and reports meet specifications. SDTM is the clinical trial data standard used for regulatory submissions. Annual reports summarizing trial progress are submitted annually to the US FDA.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
A data management plan (DMP) ensures consistent and effective clinical data management practices throughout a clinical trial. The DMP describes all data management activities, roles, and responsibilities to promote standardized data handling. It provides an agreement between parties on data management deliverables. The DMP covers components like data flow, capture, setup, entry, transfer, processing, coding, safety handling, external data, and database locking. It serves to plan, communicate, and reference data management tasks. Developing a thorough DMP helps ensure quality and regulatory compliance in data collection and analysis.
The document describes the development of metadata and data standards for the health domain in India by the Health MDDS Domain Committee. The committee was formed to promote interoperability across health IT systems. It identified over 1000 common data elements across 39 health entities. It defined the data elements and established 111 code directories derived from global clinical coding standards. The standards are intended to enable integration and information exchange between existing fragmented health IT systems in India.
Study setup_Clinical Data Management_Katalyst HLSKatalyst HLS
Introduction to Study Setup in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
ICD Revision: Quality Safety Meeting 2013 September 9-10Bedirhan Ustun
The document provides an overview and status update on the ICD-11 revision process. It discusses the current status of the ICD-2013 beta version, issues with timelines, and plans for field trials, review processes, and implementation. Key points include: the beta is ready for review by technical advisory groups; scientific peer review of chapters will begin in September; remaining issues include finalizing the mortality linearization and ensuring sufficient time for translation and country implementation preparation.
Clinical Data Collection & Clinical Data Management Naveen BalajiNaveen Balaji
The document discusses clinical trial data collection and management. It covers 11 major sections including introduction, data collection vs management, communication tools used, pure paper-based systems, electronic-based systems, hybrid systems, acquiring software from vendors, and processes before, during, and after data collection. Communication tools discussed include meetings, telephone, fax, email, websites, and file transfer protocol. Pure paper-based systems do not require computers but have large data editing overhead at the central location.
This document discusses the core elements of a typical electronic health record (EHR) system, including hardware and software components. It describes the server elements like application, database, and terminal servers that securely store patient data. It outlines the client devices like desktops, laptops, and mobile devices that healthcare staff use to access EHR systems. It also explains the network infrastructure of local and wide area networks needed to allow access to stored health information.
Strengthening the Health Management Information System: Pilot Assessment of D...HFG Project
The Government of India’s Ministry of Health and Family Welfare (MoHFW) places rigorous emphasis on evidence-based planning, monitoring, and supervision of public health services. Generation and use of reliable, quality health data is crucial for improving the quality of health services, especially to achieve the maternal and child health goals aimed for under the strategic reproductive, maternal, newborn, child, and adolescent health (RMNCH+A) initiative. The Health Management Information System (HMIS), envisioned as the “single window” for all public health data in the country, is thus a critical resource for the government. The MoHFW was supported by the USAID-funded Health Finance and Governance (HFG) project for third party assessment (TPA) of HMIS data quality to strengthen HMIS performance.
Partners In Health Rwanda (IMB) @ OpenMRS Maputo2015lnball
This document summarizes the management and use of an electronic medical record (EMR) system across multiple health districts in Rwanda. It describes the teams responsible for system management, implementation, and maintenance. It also provides an overview of how clinical data from the EMR is currently used for direct patient care, program monitoring, and influencing health policy. Finally, it outlines ongoing efforts between the Ministry of Health and partners to harmonize EMR implementations and terminology to improve data sharing and sustainability.
Pharmacoinformatics is an interdisciplinary field that uses information technology to support the discovery, development, and use of medications. It includes developing technologies to improve drug delivery and analyzing data generated from healthcare systems related to medication use. Pharmacoinformatics draws from many areas including neuroinformatics, genome informatics, toxicoinformatics, and healthcare informatics. It has applications in research and development, patient profiling, decision support, medication information systems, and telepharmacy.
VistA, the Veterans Affairs electronic health record system, has potential for use in research by allowing researchers to reuse existing clinical data, collect additional data within the system, and store all research data in a centralized integrated system. Methods for extracting data from VistA include the Mumps Data Extractor and Cache Shadowing utilities, which can export data to SQL for analysis in other programs. Examples of studies that have utilized VistA data include those examining demographics, medical diagnoses, interventions, and health outcomes.
The document discusses the Indian Health Service (IHS), which provides healthcare to over 1.6 million American Indians and Alaska Natives. IHS operates nearly 600 facilities, including hospitals, health centers, and urban programs. It uses the Resource and Patient Management System (RPMS) as its electronic health record system to support clinical care, public health, research, and performance assessment. RPMS integrates various clinical and administrative applications to support care across IHS facilities.
Bahmni is an open source hospital information system and electronic medical record designed for resource-constrained environments. It is built on OpenMRS and allows for zero-code implementations through configuration. Bahmni has been implemented in over 25 locations across 16 countries, ranging from 20-200 bed hospitals. It provides functionality for registration, observations, orders, reports and integrates with other systems for laboratory, billing and inventory.
Benefits of Using an EDC System
Contact info@trialjoin.com for more information about patient recruitment help, obtaining new studies or help with site management.
The document discusses data quality reviews (DQR) which have two components: data verification and system assessment. Data verification examines reporting accuracy by reviewing source documents and comparing recounted data to reported data. System assessment reviews the adequacy of data collection, reporting, analysis and use. Facilities and districts are surveyed. Data verification calculates a verification factor to indicate over or under-reporting. System assessment identifies areas of weakness like lack of guidelines, training or supervision. Findings are analyzed by facility type, ownership, location to identify areas for improvement.
Here is our corporate profile, you will find information about all our solutions for vaccines clinical trials and also patient's programs. We have a variety of mobile and web apps that have been developed to enhance and improve your results in any clinical trial or patient care system.
Trapollo is a managed service company that focuses on building and maintaining large-scale remote health monitoring programs across the United States. It partners with payers, providers, manufacturers and other organizations to design and implement remote patient monitoring programs. Trapollo's services include program design, device management, clinical monitoring, data analytics and technical support. It utilizes its proprietary Trapollo Management Console software to integrate technologies, manage patient data and run all aspects of remote monitoring programs. Trapollo aims to help healthcare organizations improve outcomes and lower costs through remote patient monitoring.
This document discusses electronic clinical quality measures (eCQMs) which are designed to leverage health information technology (HIT) to improve quality measurement. eCQMs use standardized data elements and terminology to measure care quality based on information in electronic health records. Effective eCQM reporting requires structured, coded data and use of standards for measure specification, calculation, and reporting. Widespread use of eCQMs could revolutionize quality measurement by facilitating automated reporting and improving data quality.
EHR certification requirements, and the capabilities an EHR should build to be eligible for QPP. Interoperability, data access and security are some of the core of QPP.
The 3 main types of reports are:
1) Summary reports that summarize the data
2) Listings reports that list the entire data as is
3) Figures and graphs that provide graphical representations of the data
A programming plan outlines the algorithms, data presentations, and programming standards to generate derived datasets. Test plans are created for quality control to validate the derived datasets and reports meet specifications. SDTM is the clinical trial data standard used for regulatory submissions. Annual reports summarizing trial progress are submitted annually to the US FDA.
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
A data management plan (DMP) ensures consistent and effective clinical data management practices throughout a clinical trial. The DMP describes all data management activities, roles, and responsibilities to promote standardized data handling. It provides an agreement between parties on data management deliverables. The DMP covers components like data flow, capture, setup, entry, transfer, processing, coding, safety handling, external data, and database locking. It serves to plan, communicate, and reference data management tasks. Developing a thorough DMP helps ensure quality and regulatory compliance in data collection and analysis.
The document describes the development of metadata and data standards for the health domain in India by the Health MDDS Domain Committee. The committee was formed to promote interoperability across health IT systems. It identified over 1000 common data elements across 39 health entities. It defined the data elements and established 111 code directories derived from global clinical coding standards. The standards are intended to enable integration and information exchange between existing fragmented health IT systems in India.
Study setup_Clinical Data Management_Katalyst HLSKatalyst HLS
Introduction to Study Setup in Clinical Data Management in Clinical Trials of Pharmaceuticals, Bio-Pharmaceuticals, Medical Devices, Cosmeceuticals and Foods.
ICD Revision: Quality Safety Meeting 2013 September 9-10Bedirhan Ustun
The document provides an overview and status update on the ICD-11 revision process. It discusses the current status of the ICD-2013 beta version, issues with timelines, and plans for field trials, review processes, and implementation. Key points include: the beta is ready for review by technical advisory groups; scientific peer review of chapters will begin in September; remaining issues include finalizing the mortality linearization and ensuring sufficient time for translation and country implementation preparation.
The document outlines the principles and objectives of the Metadata and Data Standards (MDDS) initiative in India, which aims to promote e-governance by making IT systems interoperable. It discusses the formation of the MDDS Health Domain Committee to develop standards for the health sector. The committee's tasks include identifying common data elements, studying global standards, and developing standards and code directories. The document also describes the MDDS health domain report, which defines data elements, code directories and metadata to establish interoperability standards for health IT systems in India.
This webinar covers Health Information Technology (HIT) topics that are very much on everyone's mind today. From ICD-10 and SNOMED coding to MU and PQRS regs, this webinar will fill you in on the background and details you need to know. And if you're currently using an older version of NextGen/KBM, you'll find the upgrade info on those systems especially useful. Take advantage of this free information from Quirk Healthcare Solutions.
1) The document discusses integrating OpenClinica, an open-source clinical data management system, with a patient monitoring tool (PMT) to improve efficiency in clinical data management for studies conducted by DNDi and PHPT.
2) Key objectives of the integration are to reduce the time to obtain clean study data sets and decrease error rates by facilitating real-time monitoring of patient data entered into OpenClinica.
3) The methodology developed uses a community data mart to transfer study data from OpenClinica to the PMT database, allowing monitors to access collated subject data through a single interface and improving monitoring.
NZ Primary Healthcare IT Integration: May 2014Peter Jordan
This document summarizes several healthcare IT integration projects and initiatives in New Zealand. It discusses Patients First, which enables integration and measures that matter through the National Health IT Plan. It also summarizes the GP2GP program, NZ ePrescribing Service, and a Health Information Exchange test platform. Challenges with clinical document architecture implementations are reviewed. Finally, it discusses principles for an electronic patient enrolment system and a proposed integration platform.
Big Data Analytics for Treatment Pathways John CaiJohn Cai
This document discusses using real-world big data analytics to understand treatment pathways. It begins by explaining the need for real-world evidence from real-world data to assess effectiveness and outcomes beyond randomized clinical trials. It then describes the volume, variety, and velocity characteristics of real-world big data from sources like claims, EMRs, surveys, and devices. Technical challenges of reconstructing complex patient journeys are discussed. Hadoop and MapReduce are presented as a potential solution by breaking the work into mappers that extract patient data and reducers that organize it into timelines. Examples are given of how this could enable cost, pathway, and outcomes analyses to better inform decision making.
EDC clinical trial software is an excellent solution that is typically used by the majority of medical device companies. These tools allow researchers and healthcare professionals to collect, store and manage their patient’s data while dealing with clinical investigations. With the help of EDC, you can now collect data that is complete and accurate.
HMIS, the flagship of the Tamil Nadu Health System Project was implemented in a phased manner, started as Pilot (during the year 2008), followed by Phase- I (during the year 2009), Phase-II (during the year 2010) and finally Phase III (2011).
Health Management Information System “HMIS” is a judicious combination of Information
Technology (IT) and Management Systems, to deliver improved evidence based health care to the public at large. Health Management Information System also provides information based support for the implementation of cutting-edge reforms by the Tami Nadu Health Systems Project. Apart from Primary Health Centers and Secondary Care Hospitals, this project is envisaged to include all the Tertiary Care Hospitals including the Medical Colleges.
The document discusses the transition from ICD-9 to ICD-10 coding standards which will be required by October 1, 2013 according to new US federal regulations. It outlines the key dates and requirements including the transition to ICD-10-CM for diagnoses and ICD-10-PCS for inpatient procedures. The summary also notes that the transition will impact providers, payers, software vendors and other organizations and will require assessing readiness, inventorying and modifying systems, developing training plans, and budgets.
Clinical data management (CDM) ensures the collection, integration, and availability of high-quality data from clinical trials. It supports clinical research and analysis across different study types. CDM tools like CDMS help manage large amounts of multicenter trial data. Regulations like 21 CFR Part 11 require electronic records and validated systems to ensure accurate, reliable data. Guidelines from SCDM and CDISC provide standards for good CDM practices and data collection. CDM processes clinical research data from source documents through database entry, quality checking, analysis, and archiving to support regulatory approval and conclusions about clinical results.
Clinical data management systems (CDMS) are important for managing large volumes of data from multinational clinical trials efficiently and accurately. India is becoming a major hub for CDMS due to its large skilled workforce, lower costs, and concentration of clinical trial resources. CDMS provide electronic tools for remote data capture, monitoring compliance and workflows, processing data, and generating reports. Standards are crucial for harmonizing data across regions and facilitating regulatory review. India offers many advantages for hosting CDMS and their associated databases and pharmacovigilance activities.
Similar to ® Population Health and Clinical Quality Measure Reporting System 9-11-14 (20)
The best massage spa Ajman is Chandrima Spa Ajman, which was founded in 2023 and is exclusively for men 24 hours a day. As of right now, our parent firm has been providing massage services to over 50,000+ clients in Ajman for the past 10 years. It has about 8+ branches. This demonstrates that Chandrima Spa Ajman is among the most reasonably priced spas in Ajman and the ideal place to unwind and rejuvenate. We provide a wide range of Spa massage treatments, including Indian, Pakistani, Kerala, Malayali, and body-to-body massages. Numerous massage techniques are available, including deep tissue, Swedish, Thai, Russian, and hot stone massages. Our massage therapists produce genuinely unique treatments that generate a revitalized sense of inner serenely by fusing modern techniques, the cleanest natural substances, and traditional holistic therapists.
At Apollo Hospital, Lucknow, U.P., we provide specialized care for children experiencing dehydration and other symptoms. We also offer NICU & PICU Ambulance Facility Services. Consult our expert today for the best pediatric emergency care.
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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.
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.
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
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.
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.
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.
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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Can coffee help me lose weight? Yes, 25,422 users in the USA use it for that ...nirahealhty
The South Beach Coffee Java Diet is a variation of the popular South Beach Diet, which was developed by cardiologist Dr. Arthur Agatston. The original South Beach Diet focuses on consuming lean proteins, healthy fats, and low-glycemic index carbohydrates. The South Beach Coffee Java Diet adds the element of coffee, specifically caffeine, to enhance weight loss and improve energy levels.
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.
PET CT beginners Guide covers some of the underrepresented topics in PET CTMiadAlsulami
This lecture briefly covers some of the underrepresented topics in Molecular imaging with cases , such as:
- Primary pleural tumors and pleural metastases.
- Distinguishing between MPM and Talc Pleurodesis.
- Urological tumors.
- The role of FDG PET in NET.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - ...rightmanforbloodline
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
TEST BANK FOR Health Assessment in Nursing 7th Edition by Weber Chapters 1 - 34.
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.
Rate Controlled Drug Delivery Systems, Activation Modulated Drug Delivery Systems, Mechanically activated, pH activated, Enzyme activated, Osmotic activated Drug Delivery Systems, Feedback regulated Drug Delivery Systems systems are discussed here.
2. Acronyms
■HL7 - Health Level Seven International
■CDA – Clinical Document Architecture (An architecture
with templates for clinical documents e.g. CCDs)
■CCDA – Consolidated Clinical Document Architecture
(Similar to CDA)
■CCD – Continuity of Care Document (A summary
document for a single patient)
■QRDA – Quality Reporting Document Architecture
■HQMF - Health Quality Measure Format (eMeasure)
■eCQM – Electronic Clinical Quality Measure
■CIPCI – Connecticut Institute for Primary Care
Innovation
3. popHealth Overview
■ popHealth is an Open-Source Clinical Quality Measure database
and reporting engine presented through a web-based interface
■ Centralized repository of clinical data
■ Data is sent from EHRs via nationally recognized standards
– Consolidated Clinical Data Architecture (C-CDA) Architecture Continuity of
Care (CCD)Document
– QRDA (Quality Reporting Data Architecture) Cat 1 or 3 Document
■ Clinical Quality Measures (CQMs) are calculated for providers
and presented through a web-based interface
– Drill down ability to the provider and patient-level data
■ Track trends in quality and health over time
■ Capture CQMs for Meaningful Use Reporting
4. ■ September 2009 - popHealth started as a prototype, proof-of-
concept for a Clinical Quality Measure (CQM) reporting module:
popHealth v0.1
■ September 2010 - popHealth formally supported by ONC as a
MU Stage 1 reference implementation
■ 2011 – popHealth certified
■ January 2012 – v1.4 support for multi-provider with enhanced
functionality released
■ December 2012 - v2.0 support for MU Stage 2 CQMs for EPs
released
■ February 2013 – v2.1.2 with enhanced functionality released
■ June 2014 - v3.0 with upgraded UI, enhanced technical
architecture, support for QRDA import released
■ Spring 2014 v3 certified
■ Fall 2014 – transition to Open Source Community from ONC
History of popHealth
5. ■Entities are using popHealth in a variety of ways
■Active User Community
– Monthly user group meetings
– Includes active users and interested users
■Currently Managed by ONC, Moving to Open Source
Community
– OSEHRA selected to manage Open Source Community
– Process of moving to OSEHRA has begun, will take place
over the next few months
■ EHR Upgrades to 2014 CEHRT impacting popHealth
– QRDA Documents becoming available but issues due to being a
new standard
– CCD v1.1 not always working, additional testing required
Current Status
6. ■popHealth Server
– Ruby (version 2.1.1) on Rails (version 4.1.2 or higher)
■Database
– MongoDB (version 2.0.1) *depends on the host server
■CQM Calculation
– Leverages MapReduce framework in MongoDB
■popHealth Internal Measure Representation
– Uses JSON and JavaScript
Technology Stack
7. ■ popHealth is Open Source prototype software that was
developed by MITRE through a grant from ONC
■ Pros
– No cost to purchase
– Active Open Source Community
– All users benefit from enhancements/contributions back to the Open
Source Community
■ Cons
– “Free like a puppy”
– Documentation is lacking and support is voluntary through Open
Source Community
– Requires skill set that is unusual:
HL7, QRDA standards Mongo DB Ruby on Rails JSON
Implementation Challenges
8. CQM Reporting for Meaningful Use
■ Northwestern University Medical System
– Feed data from various EHRs (through their data warehouse) to
popHealth for CQM reporting for all entities in health system
■ VA
– MITRE working to connect popHealth to VA’s Corporate Data
Warehouse (CDW) forCQM reporting
■ Wyoming Medicaid
– Database for QRDA Cat 3 data (CQM data) that is entered by
providers
– Ability to rank providers into tiers for payment based on CQM rates
– Future plans for eCQM submission by accepting QRDA Cat 3
documents
Current popHealth Use Cases
9. Current popHealth Use Cases
CQM Reporting for Other Purposes
■ eHealthConnecticut (CT Regional Extension Center)
– FQHCs (CHCs) send CCD data to popHealth database
– Centralized clinical database data from FHQCs
– Use for CQMs and other clinical data reporting needs
– Unexpected outcome is workflow improvement to resolve data
issues
– Used for CQM measurement for CT DPH SHAPE grant
■ IL DPH
– FQHCs (CHCs) send CCD data to popHealth database
– Used for CQMs and popHealth dashboards to drive clinic
improvements in hypertension management
10. Consolidated CDA
■ Output of the effort to create one guide that could be used for
implementation and analysis of documents within the CDA standard
■ The Consolidated CDA solution is a library of reusable CDA
templates
■ Templates can be utilized at multiple levels within a CDA document:
– Level 1: Document Level Templates, such as CCD or Discharge
Summary, can be utilized to define a template for the document as a
whole.
– Level 2: Section Level Templates, such as Allergies or Medications, can
be utilized to define what specific information will be included in each
section.
– Level 3: Entry Level Templates, such as specific Observations or
Procedures, can be utilized to define how the information is encoded
within each section.
■ Consolidated CDA has a document level template for CCD
■ QRDA uses parts of C-CDA framework but is not a template
11. ■ Part of C-CDA Architecture
■ Extensive clinical data
– Allergies: RxNorm*, SNOMED-CT*
– Care Goals, Social History, Medical Equipment: SNOMED-CT*
– Conditions: SNOMED-CT*, ICD-9-CM, ICD-10-CM
– Encounters: CPT
– Immunizations, Medications: RxNorm*, CVX*
– Procedures: CPT, ICD-9-CM, ICD-10-CM, SNOMED-CT*
– Vitals, Results, Assessments: LOINC*, SNOMED-CT*
– Communications: SNOMED-CT
■ * preferred
■ All continuity of care entries are time-stamped
■ Results and vitals must be provided structured with units and
values
Continuity of Care Document
12. QRDA Architecture
■ HL7 QRDA is a standard document format for the exchange of
electronic clinical quality measure (eCQM) data.
■ QRDA reports contain data extracted from electronic health
records (EHRs) and other information technology systems.
QRDA reports are used for the exchange of eCQM data
between systems for a variety of quality measurement and
reporting initiatives.
■ QRDA makes use of CDA templates, which are business rules
for representing clinical data consistently. Many QRDA
templates are reused from the HL7 Consolidated CDA (C-CDA)
standard.
■ Templates defined in the QRDA Category I and III enable
consistent representations of quality reporting data to streamline
implementations and promote interoperability.
13. QRDA Documents
■ A QRDA Category I report is an individual patient quality report.
Each report contains quality data for one patient for one or more
eCQMs, where the data elements in the report are defined by
the particular measure(s) being reported. A QRDA Category I
report contains raw applicable patient data (e.g., the specific
dates of an encounter, the clinical condition) using standardized
coded data (e.g., ICD-9-CM, SNOMED CT®). When pooled and
analyzed, each report contributes the quality data.
■ A QRDA Category III report is a standard structure to use in
reporting aggregate quality measure data. Each report contains
aggregate quality data for one provider for one or more eCQMs.
a necessary to calculate population measure metrics.
14. CCD vs. QRDA Cat I
CCD/CCD 1.1
■ Clinical summary document
for patient history of
procedures, encounters,
allergies, medications, etc.
■ Main body of data contains
different sections for
different clinical data
components e.g. medical
history, procedures,
medications, etc.
■ The data sections are larger
and have more general
templates for procedures,
encounters, etc.
QRDA Cat 1
■ QRDA reports are
generated based on a CQM
request. The data contained
in the QRDA file is specific
to certain CQMs.
■ Main body of data is divided
into three segments: -
reporting measure(s) -
reporting parameters (rep
period) - patient data
■ Templates are more specific
and thorough, with smaller
general sub groups.
■ Newer standard – less
tested
15. CCD and QRDA Comparison
Header (template IDs)
Author, Custodian,
Informant, etc
Patient Information
Provider Information
Structured sections
- Procedures
- Medications
- Problems/Allergies
- Encounters
- Results
Etc.
Header (template IDs)
Author, Custodian,
Legal Authenticator, etc.
Patient Information
Provider Information
Structured sections:
- Procedures
- Medications
- Problems
- Allergies
- Encounters
- Results
Etc.
CCD (CDA) CCD 1.1 (CCDA)
Header (template IDs)
Author, Custodian,
Legal Authenticator, etc
Patient Information
Provider Information
Three 'components'
- Measures
- Reporting parameters
- Patient Data
(aggregate of entries
for various sections)
QRDA Cat 1
16. Data Flow for Population Health
Management
Population Health
Reporting Tool
Providers
Collaborate on
Patient Health
Electronic Medical
Records Database for
Practice
Clinicians
Enter Patient
Data into EMR
Secure Transfer of
Patient Data
17. popHealth Today for FQHCs in CT
CCD Data
Aggregate Data
popHealth Database
FQHC 1 Data
FQHC 2 Data
FQHC 3 Data
FQHC 4 Data
popHealth
Reporting Tool
Role-based web access
MU Stage 1 and 2
Reports
Overall measures with
ability to drill down
HIPAA compliant
Aggregated population
health reports
FQHC 1
EHR
CCD DataFQHC 2
EHR
CCD DataFQHC 3
EHR
CCD DataFQHC 4
EHR
18. CCD via Batch
Aggregate Data
popHealth Database
Provider Data
Hospital Data
FQHC Data
Other Data
popHealth
Reporting Tool
Provider CQMs
DPH Reporting
DSS/Medicaid
Cat 3 Docs
Comparison to cohort
Grant CQMs
PCMH
ACO
EHR 1
CCD via DirectEHR 2
QRDA Cat 1EHR 3
QRDA via DirectEHR 4
popHealth Next Generation in CT