The document describes the development of a knowledge organization system (KOS) taxonomy to support consumer health care decision making based on Medicare data and user needs. It outlines the project background, goals, sources used, and development process. The taxonomy has 11 facets and defines concepts, hierarchical relationships, and semantic relationships to connect concepts across facets and map to Medicare datasets. The project found consumer health terminology differs from clinical terminology, and developing a comprehensive yet concise taxonomy required compiling terms from many sources.
KOS Design for Healthcare Decision-making-PaperSusanGolden
The document describes the development of a knowledge organization system (KOS) called the Consumer Health Care Taxonomy to help consumers make better health care decisions. It was designed based on user stories and input from experts. The taxonomy has 11 facets covering areas like conditions, treatments, and providers. It was mapped to existing CMS and HHS taxonomies and vocabularies to integrate Medicare data and help translate consumer searches. Stakeholder interviews and a literature review informed the design. The goal is to support applications like a prototype health care website to improve access to relevant health information.
An Industry Collaboration's Perspectives on the Value of Patient Support Prog...TransCelerate
The Value of Safety Information Data Sources Initiative will seek to identify sources of safety information for a single high value valid cases and develop a proposed method for aggregate reporting of lower value cases.
Data Sharing -- NOT Hoarding -- is the New Normal, November 2020Vince Kuraitis
Looking in the rear view mirror, many healthcare providers have viewed patient data as “their asset”, something to be controlled–not shared.
In a previous article, we described 7 reasons why hoarding is a poor business strategy:
1) Data Hoarding Doesn’t Work — It Doesn’t Lock-In Patients or Build Affinity
2) Convenience is King in Patient Selection of Providers
3) Loyalty is Declining, Shopping is Increasing
4) Providers Have a Decreasingly Small “Share” of Patient Data
5) Providers Don’t Want to Become a Lightning Rod in the “Techlash” Backlash
6) Hoarding Works Against Public Policy and the Law
7) Providers, Don’t Fly Blind with Value-Based Care
In this presentation, we will recap, update, and extend our rationale. We’ll also take a view out the windshield, explaining why generous data sharing is a highly leveraged clinical and business strategy.
This presentation includes speaker notes.
This document provides an overview of open health data resources available from the Department of Health and Human Services (HHS) to help entrepreneurs, researchers, and policymakers develop innovative products and services. It lists various data sets covering topics like healthcare provider quality, clinical trials, disease incidence, food nutrition, and more. The document aims to help users understand which data sets may be useful for different types of applications and provide consumers, healthcare providers, or communities. It also provides examples of how open data has already been used.
The document discusses how analytics are being used to drive effectiveness in Medicaid programs and health plans. It notes that Medicaid spending has grown 450% in the past two decades and will cover nearly 100 million Americans by 2020. Without advanced analytics, Medicaid agencies and health plans will be unable to effectively identify, stratify, and manage the high-cost, high-risk patients in the Medicaid population. The document outlines how the most effective organizations are using predictive analytics to measure performance, identify areas for improvement, manage risks, and influence health outcomes and costs.
This case study examines SSA's collaboration with MedVirginia and ONC to exchange claimant health information across the NHIN for disability determinations. Key findings include:
1. Technical challenges involved achieving interoperability between MedVirginia's systems and the NHIN gateway, and identifying a standard for SSA's authorization form.
2. Organizational challenges included differing value propositions and increased communication needs across multiple stakeholders.
3. Governance challenges surrounded formalizing structures for privacy, security and participation as the NHIN grows.
The collaboration resulted in faster exchange of information to aid disability decisions, demonstrating the potential for health IT to improve processes while protecting privacy.
Impact on Health Reform on Device Development and FundingUBMCanon
The document discusses the impact of US healthcare reform on medical device development and funding. It summarizes that healthcare reform through the Affordable Care Act and other policies is driving major changes in health insurance purchasing and moving payments from fee-for-service to bundled payments and accountable care organizations. This shift to alternative payment models will require device manufacturers to understand how provider reimbursement is changing to ensure their devices provide value within the new systems.
KOS Design for Healthcare Decision-making-PaperSusanGolden
The document describes the development of a knowledge organization system (KOS) called the Consumer Health Care Taxonomy to help consumers make better health care decisions. It was designed based on user stories and input from experts. The taxonomy has 11 facets covering areas like conditions, treatments, and providers. It was mapped to existing CMS and HHS taxonomies and vocabularies to integrate Medicare data and help translate consumer searches. Stakeholder interviews and a literature review informed the design. The goal is to support applications like a prototype health care website to improve access to relevant health information.
An Industry Collaboration's Perspectives on the Value of Patient Support Prog...TransCelerate
The Value of Safety Information Data Sources Initiative will seek to identify sources of safety information for a single high value valid cases and develop a proposed method for aggregate reporting of lower value cases.
Data Sharing -- NOT Hoarding -- is the New Normal, November 2020Vince Kuraitis
Looking in the rear view mirror, many healthcare providers have viewed patient data as “their asset”, something to be controlled–not shared.
In a previous article, we described 7 reasons why hoarding is a poor business strategy:
1) Data Hoarding Doesn’t Work — It Doesn’t Lock-In Patients or Build Affinity
2) Convenience is King in Patient Selection of Providers
3) Loyalty is Declining, Shopping is Increasing
4) Providers Have a Decreasingly Small “Share” of Patient Data
5) Providers Don’t Want to Become a Lightning Rod in the “Techlash” Backlash
6) Hoarding Works Against Public Policy and the Law
7) Providers, Don’t Fly Blind with Value-Based Care
In this presentation, we will recap, update, and extend our rationale. We’ll also take a view out the windshield, explaining why generous data sharing is a highly leveraged clinical and business strategy.
This presentation includes speaker notes.
This document provides an overview of open health data resources available from the Department of Health and Human Services (HHS) to help entrepreneurs, researchers, and policymakers develop innovative products and services. It lists various data sets covering topics like healthcare provider quality, clinical trials, disease incidence, food nutrition, and more. The document aims to help users understand which data sets may be useful for different types of applications and provide consumers, healthcare providers, or communities. It also provides examples of how open data has already been used.
The document discusses how analytics are being used to drive effectiveness in Medicaid programs and health plans. It notes that Medicaid spending has grown 450% in the past two decades and will cover nearly 100 million Americans by 2020. Without advanced analytics, Medicaid agencies and health plans will be unable to effectively identify, stratify, and manage the high-cost, high-risk patients in the Medicaid population. The document outlines how the most effective organizations are using predictive analytics to measure performance, identify areas for improvement, manage risks, and influence health outcomes and costs.
This case study examines SSA's collaboration with MedVirginia and ONC to exchange claimant health information across the NHIN for disability determinations. Key findings include:
1. Technical challenges involved achieving interoperability between MedVirginia's systems and the NHIN gateway, and identifying a standard for SSA's authorization form.
2. Organizational challenges included differing value propositions and increased communication needs across multiple stakeholders.
3. Governance challenges surrounded formalizing structures for privacy, security and participation as the NHIN grows.
The collaboration resulted in faster exchange of information to aid disability decisions, demonstrating the potential for health IT to improve processes while protecting privacy.
Impact on Health Reform on Device Development and FundingUBMCanon
The document discusses the impact of US healthcare reform on medical device development and funding. It summarizes that healthcare reform through the Affordable Care Act and other policies is driving major changes in health insurance purchasing and moving payments from fee-for-service to bundled payments and accountable care organizations. This shift to alternative payment models will require device manufacturers to understand how provider reimbursement is changing to ensure their devices provide value within the new systems.
This document advertises and summarizes a Healthcare Entrepreneur's BootCamp event that will be held at Health Datapalooza. The BootCamp will use a game-based approach to help entrepreneurs connect public health data to business models and value propositions. Experts from various organizations will be available to provide guidance to help ideas progress from initial concepts to market viability. The goal is to foster innovation that can help advance the transition to paying healthcare providers based on value and outcomes rather than fee-for-service. The event is open to anyone interested in leveraging open health data resources.
Direct Boot Camp 2.0 - Tennesse DirectoriesBrian Ahier
The document outlines Tennessee's strategy to promote the adoption of Direct secure messaging starting with state agencies and then expanding to private healthcare providers. It involves establishing a statewide health information service provider (HISP) to connect state agencies. It also describes a financial incentive program for private providers to adopt Direct, listing in an online provider directory, and future enhancements to the directory including improved search and integration features. Considerations for the strategy include that it is low-cost and supports referrals but requires ongoing maintenance and is limited to participants in the program.
This document discusses applications of big data and data analytics in healthcare. It provides two case studies: 1) a rural clinically integrated network in Kansas that uses data analytics to identify at-risk patients and reduce costs, and 2) an analysis of billing data for a Department of Justice investigation. The document also outlines other healthcare data analytics projects and discusses growing demand for data analytics expertise and the potential for analytics to improve healthcare outcomes and reduce costs.
Value-Based Care and Healthcare Consumerism: Opportunities for Health IT and ...Cognizant
Health IT and technology solutions are central in the shift to value-based care and to meeting the demands of patient consumerism. Hurdles remain, but all primary players in the healthcare ecosystem, patients, providers and payers, are seeking more and better data, platform interoperability, real-time and actionable analytical insights, and more effective engagement.
Session at Health Datapalooza in the Payer and Risk-Owner Track entitled, "Creating a virtuous cycle: designing networks to mitigate no-value care from fee for service and create value-based wins for both payers and providers using CMS benchmark data." Value Proposition: Designing and Curating a Pay-for-Value Ready Network
Moderator: Joshua Rosenthal, Co-Founder and Chief Scientific Officer at RowdMap, Inc.
Panelists: Jonathan Blum, EVP at CareFirst Blue Cross BlueShield and Former Principle Deputy Administrator at Centers for Medicare and Medicaid Services; Sachin Jain, Chief Medical Officer & Chief Operating Officer at CareMore; Steve Ondra, Chief Medical Officer at Health Care Service Corporation
Health Datapalooza is an AcademyHealth event sponsored by The Department of Health and Human Services (HHS), the Robert Wood Johnson Foundation (RWJ) and RowdMap, Inc.
The Chilmark Advisory Service is an annual subscription that provides ongoing research and analysis of trends in the health IT market. It includes annual and quarterly reports on various sectors, monthly updates, alerts, and direct access to analysts. The research focuses on four domains: health information exchange, analytics, consumer engagement, and connected care. The service is aimed at helping stakeholders in the health IT sector stay informed of latest developments. Pricing options include three-seat or five-seat annual subscriptions.
Big Data: Implications of Data Mining for Employed Physician Compliance Manag...PYA, P.C.
PYA Principal Denise Hall, along with King & Spalding’s Michael Paulhus, co-presented “Big Data: Implications of Data Mining for Employed Physician Compliance Management” at the Health Care Compliance Association’s (HCCA) 19th Annual Compliance Institute.
This document discusses population health management (PHM) and identifies some key challenges. It notes that PHM involves the proactive management of patient health by a network of providers working with community partners. PHM is being driven by a shift to value-based payment models that financially link providers and hold them accountable for total cost of care. This will require significant changes to move from fee-for-service to models rewarding quality and efficiency. The document also discusses the importance of continuity of information, management, and relationships between providers in achieving the goals of PHM. It identifies establishing integrated networks, agreeing on important metrics, developing strong analytics capabilities, and engaging all stakeholders as top challenges for PHM.
Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practitioner reflection.
Data mining paper survey for Health Care Support System鴻鈞 王
- The document discusses how data mining of electronic health records can help fill knowledge gaps and assist clinical decision making. It provides examples of how different types of health data like administrative data, clinical text, and genetic data can be analyzed. This includes analyzing comorbidities, using machine learning for classification, patient clustering, and cohort querying. Integrating these different data sources and using natural language processing and systems biology approaches can help with genotype-phenotype association studies.
Catasys provides an integrated behavioral health program called OnTrak that identifies high-cost individuals with behavioral health issues and engages them in a 52-week treatment program. Catasys uses predictive analytics to identify eligible members from claims data provided by health plans. OnTrak reduces medical costs by about 50% and provides a 3-to-1 return on investment for health plans. Catasys expects $20 million in billings in 2018 based solely on its existing pool of eligible members.
Track of Data Science and Infrastructure sessions at the 2015 Health Datapalooza Organized by Niall Brennan, Chief Data Officer, Centers for Medicare & Medicaid Services and Joshua Rosenthal, PhD, RowdMap Inc. and NCHVS Data Group
The document discusses population health and value-based care. It provides information on how providers are approaching population health management, including tackling the transition in-house, engaging third-party managed services, or using third-party consulting. Data shows most provider mindshare is focused on managed services. A poll found most providers believe population health management will surpass fee-for-service in 3-5 years. The document also discusses the current state of population health solutions and key capabilities needed around data aggregation.
Integrating Analytics for Value-Based HealthcareEdgewater
Edgewater Healthcare Consulting presented at the Boston Society for Information Management (SIM) with client Southcoast Health on Integrating Analytics for Value-Based Healthcare
North Shore-LIJ Health System, one of the largest health systems in the US, enlisted the help of J2 Interactive to design and implement an enterprise-wide interoperability architecture using InterSystems HealthShare. The initial phase integrated data from disparate sources, provided clinical data to providers, and established the foundation for risk-based care and population health management. J2 and North Shore-LIJ completed the first phase, including connecting two HealthShare deployments, within six months. J2 continues working with North Shore-LIJ to expand HealthShare integrations and leverage analytics to track quality measures and support new payment models.
This document contains the course materials for HCA 305, including discussion questions, assignments, and readings for each week. The materials cover topics like cost, quality and access in healthcare; stakeholders in the healthcare system; improving quality in hospitals; choosing healthcare providers; the Patient Protection and Affordable Care Act; diversity in the healthcare workforce; and supply and demand of healthcare professionals. The document provides resources for students to analyze issues, complete assignments, and discuss topics related to the U.S. healthcare system.
The document discusses Accountable Care Organizations (ACOs) which were created by the Affordable Care Act to improve quality and lower costs. It provides frequently asked questions about ACOs, including whether they are viable, how providers can save money through ACOs, examples of successful ACO programs like Marshfield Clinic, and the healthcare IT components needed to support ACOs. Providers are encouraged to invest in quality, innovation, and data/analytics to prepare for value-based payment models like ACOs.
Achieve Data-Informed Healthcare in Eight StepsHealth Catalyst
Becoming a data-informed healthcare system starts with raw data and ends with meaningful change, driven by raw data. Health systems can follow an eight-step analytics ascension model to transform data into intelligence:
Population Identification and Stratification
Measurement
Data
Information
Knowledge
Insight
Wisdom
Action
Following the analytics ascension model allows improvement teams to avoid feeling overwhelmed, focus on each step, and see how each step fits into the overall objective, allowing health systems to maximize data.
A 360° view of value-based healthcare: how to position your facility for successSourceMed
The shift from volume to value-based healthcare is underway and many outpatient providers are already participating. How are you preparing for this transition?
This presentation will explore the move to value-based care, and share ways for your facility to adapt what it is doing today to thrive under collaborative service delivery models, including: revenue cycle management, data analytics, patient engagement and system interoperability.
Running head HEALTH PROMOTION IN MINORITY POPULATIONS .docxhealdkathaleen
Running head: HEALTH PROMOTION IN MINORITY POPULATIONS 2
HEALTH PROMOTION IN MINORITY POPULATIONS 2
Health Promotion in Minority Populations
Name
Grand Canyon University, NRS – 429
October ##, 2019
Health Promotion in Minority Populations
This is the introductory paragraph. Remember that the first sentence needs to grab the audience attention. Select an ethnic minority group that is represented in the United States (Some examples are American Indian/Alaskan Native, Asian American, Black/African American, Hispanic/Latino, Native Hawaiian, or Pacific Islander). Using health information available from Healthy People, the CDC, and other relevant government websites, analyze the health status for this group. There will be sources or references used to obtain this information so make certain to do the in-text citations. There will be little content from you. The last sentence is the Thesis Statement. The purpose of this paper is to explain….
Identification and Description of Selected Minority Group
Describe the ethnic minority group selected. Describe the current health status of this group. How do race and ethnicity influence health for this group? This section will be a detailed description of the ethnic minority group is partially presented. Health status for this group is thoroughly discussed. Explanation of how race and ethnicity influence health for this group is clearly presented. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Health Disparities and Nutritional Challenges for Minority Group
What are the health disparities that exist for this group? What are the nutritional challenges for this group? A thorough discussion of the health disparities and nutritional challenges for this group is clearly presented. All relevant findings related to the ethnic minority group have been included. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Barriers to Health for Minority Group
Discuss the barriers to health for this group resulting from culture, socioeconomics, education, and sociopolitical factors. Barriers to health for this ethnic minority group resulting from culture, socioeconomics, education, and sociopolitical factors are thoroughly discussed. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence is provided to support statements.
Health Promotion Activities Practiced by Minority Group
What health promotion activities are often practiced by this group? Health promotion activities practiced by minority groups are accurately identified and described in detail. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence ...
e-Patients are increasing the supply and demand for health content. More electronic health data is being created but often behind paywalls. IT is transforming how health content is produced and consumed, reducing costs over time. The document discusses trends in health content including a shift from standalone content to integrated clinical tools, emerging sources of patient-generated data, and new opportunities in analyzing and delivering health information to e-patients.
This document advertises and summarizes a Healthcare Entrepreneur's BootCamp event that will be held at Health Datapalooza. The BootCamp will use a game-based approach to help entrepreneurs connect public health data to business models and value propositions. Experts from various organizations will be available to provide guidance to help ideas progress from initial concepts to market viability. The goal is to foster innovation that can help advance the transition to paying healthcare providers based on value and outcomes rather than fee-for-service. The event is open to anyone interested in leveraging open health data resources.
Direct Boot Camp 2.0 - Tennesse DirectoriesBrian Ahier
The document outlines Tennessee's strategy to promote the adoption of Direct secure messaging starting with state agencies and then expanding to private healthcare providers. It involves establishing a statewide health information service provider (HISP) to connect state agencies. It also describes a financial incentive program for private providers to adopt Direct, listing in an online provider directory, and future enhancements to the directory including improved search and integration features. Considerations for the strategy include that it is low-cost and supports referrals but requires ongoing maintenance and is limited to participants in the program.
This document discusses applications of big data and data analytics in healthcare. It provides two case studies: 1) a rural clinically integrated network in Kansas that uses data analytics to identify at-risk patients and reduce costs, and 2) an analysis of billing data for a Department of Justice investigation. The document also outlines other healthcare data analytics projects and discusses growing demand for data analytics expertise and the potential for analytics to improve healthcare outcomes and reduce costs.
Value-Based Care and Healthcare Consumerism: Opportunities for Health IT and ...Cognizant
Health IT and technology solutions are central in the shift to value-based care and to meeting the demands of patient consumerism. Hurdles remain, but all primary players in the healthcare ecosystem, patients, providers and payers, are seeking more and better data, platform interoperability, real-time and actionable analytical insights, and more effective engagement.
Session at Health Datapalooza in the Payer and Risk-Owner Track entitled, "Creating a virtuous cycle: designing networks to mitigate no-value care from fee for service and create value-based wins for both payers and providers using CMS benchmark data." Value Proposition: Designing and Curating a Pay-for-Value Ready Network
Moderator: Joshua Rosenthal, Co-Founder and Chief Scientific Officer at RowdMap, Inc.
Panelists: Jonathan Blum, EVP at CareFirst Blue Cross BlueShield and Former Principle Deputy Administrator at Centers for Medicare and Medicaid Services; Sachin Jain, Chief Medical Officer & Chief Operating Officer at CareMore; Steve Ondra, Chief Medical Officer at Health Care Service Corporation
Health Datapalooza is an AcademyHealth event sponsored by The Department of Health and Human Services (HHS), the Robert Wood Johnson Foundation (RWJ) and RowdMap, Inc.
The Chilmark Advisory Service is an annual subscription that provides ongoing research and analysis of trends in the health IT market. It includes annual and quarterly reports on various sectors, monthly updates, alerts, and direct access to analysts. The research focuses on four domains: health information exchange, analytics, consumer engagement, and connected care. The service is aimed at helping stakeholders in the health IT sector stay informed of latest developments. Pricing options include three-seat or five-seat annual subscriptions.
Big Data: Implications of Data Mining for Employed Physician Compliance Manag...PYA, P.C.
PYA Principal Denise Hall, along with King & Spalding’s Michael Paulhus, co-presented “Big Data: Implications of Data Mining for Employed Physician Compliance Management” at the Health Care Compliance Association’s (HCCA) 19th Annual Compliance Institute.
This document discusses population health management (PHM) and identifies some key challenges. It notes that PHM involves the proactive management of patient health by a network of providers working with community partners. PHM is being driven by a shift to value-based payment models that financially link providers and hold them accountable for total cost of care. This will require significant changes to move from fee-for-service to models rewarding quality and efficiency. The document also discusses the importance of continuity of information, management, and relationships between providers in achieving the goals of PHM. It identifies establishing integrated networks, agreeing on important metrics, developing strong analytics capabilities, and engaging all stakeholders as top challenges for PHM.
Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practitioner reflection.
Data mining paper survey for Health Care Support System鴻鈞 王
- The document discusses how data mining of electronic health records can help fill knowledge gaps and assist clinical decision making. It provides examples of how different types of health data like administrative data, clinical text, and genetic data can be analyzed. This includes analyzing comorbidities, using machine learning for classification, patient clustering, and cohort querying. Integrating these different data sources and using natural language processing and systems biology approaches can help with genotype-phenotype association studies.
Catasys provides an integrated behavioral health program called OnTrak that identifies high-cost individuals with behavioral health issues and engages them in a 52-week treatment program. Catasys uses predictive analytics to identify eligible members from claims data provided by health plans. OnTrak reduces medical costs by about 50% and provides a 3-to-1 return on investment for health plans. Catasys expects $20 million in billings in 2018 based solely on its existing pool of eligible members.
Track of Data Science and Infrastructure sessions at the 2015 Health Datapalooza Organized by Niall Brennan, Chief Data Officer, Centers for Medicare & Medicaid Services and Joshua Rosenthal, PhD, RowdMap Inc. and NCHVS Data Group
The document discusses population health and value-based care. It provides information on how providers are approaching population health management, including tackling the transition in-house, engaging third-party managed services, or using third-party consulting. Data shows most provider mindshare is focused on managed services. A poll found most providers believe population health management will surpass fee-for-service in 3-5 years. The document also discusses the current state of population health solutions and key capabilities needed around data aggregation.
Integrating Analytics for Value-Based HealthcareEdgewater
Edgewater Healthcare Consulting presented at the Boston Society for Information Management (SIM) with client Southcoast Health on Integrating Analytics for Value-Based Healthcare
North Shore-LIJ Health System, one of the largest health systems in the US, enlisted the help of J2 Interactive to design and implement an enterprise-wide interoperability architecture using InterSystems HealthShare. The initial phase integrated data from disparate sources, provided clinical data to providers, and established the foundation for risk-based care and population health management. J2 and North Shore-LIJ completed the first phase, including connecting two HealthShare deployments, within six months. J2 continues working with North Shore-LIJ to expand HealthShare integrations and leverage analytics to track quality measures and support new payment models.
This document contains the course materials for HCA 305, including discussion questions, assignments, and readings for each week. The materials cover topics like cost, quality and access in healthcare; stakeholders in the healthcare system; improving quality in hospitals; choosing healthcare providers; the Patient Protection and Affordable Care Act; diversity in the healthcare workforce; and supply and demand of healthcare professionals. The document provides resources for students to analyze issues, complete assignments, and discuss topics related to the U.S. healthcare system.
The document discusses Accountable Care Organizations (ACOs) which were created by the Affordable Care Act to improve quality and lower costs. It provides frequently asked questions about ACOs, including whether they are viable, how providers can save money through ACOs, examples of successful ACO programs like Marshfield Clinic, and the healthcare IT components needed to support ACOs. Providers are encouraged to invest in quality, innovation, and data/analytics to prepare for value-based payment models like ACOs.
Achieve Data-Informed Healthcare in Eight StepsHealth Catalyst
Becoming a data-informed healthcare system starts with raw data and ends with meaningful change, driven by raw data. Health systems can follow an eight-step analytics ascension model to transform data into intelligence:
Population Identification and Stratification
Measurement
Data
Information
Knowledge
Insight
Wisdom
Action
Following the analytics ascension model allows improvement teams to avoid feeling overwhelmed, focus on each step, and see how each step fits into the overall objective, allowing health systems to maximize data.
A 360° view of value-based healthcare: how to position your facility for successSourceMed
The shift from volume to value-based healthcare is underway and many outpatient providers are already participating. How are you preparing for this transition?
This presentation will explore the move to value-based care, and share ways for your facility to adapt what it is doing today to thrive under collaborative service delivery models, including: revenue cycle management, data analytics, patient engagement and system interoperability.
Running head HEALTH PROMOTION IN MINORITY POPULATIONS .docxhealdkathaleen
Running head: HEALTH PROMOTION IN MINORITY POPULATIONS 2
HEALTH PROMOTION IN MINORITY POPULATIONS 2
Health Promotion in Minority Populations
Name
Grand Canyon University, NRS – 429
October ##, 2019
Health Promotion in Minority Populations
This is the introductory paragraph. Remember that the first sentence needs to grab the audience attention. Select an ethnic minority group that is represented in the United States (Some examples are American Indian/Alaskan Native, Asian American, Black/African American, Hispanic/Latino, Native Hawaiian, or Pacific Islander). Using health information available from Healthy People, the CDC, and other relevant government websites, analyze the health status for this group. There will be sources or references used to obtain this information so make certain to do the in-text citations. There will be little content from you. The last sentence is the Thesis Statement. The purpose of this paper is to explain….
Identification and Description of Selected Minority Group
Describe the ethnic minority group selected. Describe the current health status of this group. How do race and ethnicity influence health for this group? This section will be a detailed description of the ethnic minority group is partially presented. Health status for this group is thoroughly discussed. Explanation of how race and ethnicity influence health for this group is clearly presented. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Health Disparities and Nutritional Challenges for Minority Group
What are the health disparities that exist for this group? What are the nutritional challenges for this group? A thorough discussion of the health disparities and nutritional challenges for this group is clearly presented. All relevant findings related to the ethnic minority group have been included. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Barriers to Health for Minority Group
Discuss the barriers to health for this group resulting from culture, socioeconomics, education, and sociopolitical factors. Barriers to health for this ethnic minority group resulting from culture, socioeconomics, education, and sociopolitical factors are thoroughly discussed. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence is provided to support statements.
Health Promotion Activities Practiced by Minority Group
What health promotion activities are often practiced by this group? Health promotion activities practiced by minority groups are accurately identified and described in detail. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence ...
e-Patients are increasing the supply and demand for health content. More electronic health data is being created but often behind paywalls. IT is transforming how health content is produced and consumed, reducing costs over time. The document discusses trends in health content including a shift from standalone content to integrated clinical tools, emerging sources of patient-generated data, and new opportunities in analyzing and delivering health information to e-patients.
Suggested ResourcesThe resources provided here are optional. You.docxdeanmtaylor1545
Suggested Resources
The resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid. The MHA-FP5064 Health Care Information Systems Analysis and Design for Administrators Library Guide can help direct your research, and the Supplemental Resources and Research Resources, both linked from the left navigation menu in your courseroom, provide additional resources to help support you.
The Role of Informatics in Health Care
The following articles address the increasingly important role of informatics, which may provide useful insight when examining the data needs of an organization.
· Centers for Medicare & Medicaid Services. (2017). Data and program reports. Retrieved from https://www.cms.gov/regulations-and-guidance/legislation/ehrincentiveprograms/dataandreports.html
. The Web page provides access to Medicare and Medicaid Electronic Health Records Incentive Program payment and registration data contained in various reports.
· Chen, M., Lukyanenko, R., & Tremblay, M. C. (2017). Information quality challenges in shared healthcare decision making. Journal of Data and Information Quality (JDIQ), 9(1), 1–3.
. Discusses the challenges for patients in making sense of the enormous volume of health information made available through current information and communications technologies and how the quality of that information affects shared decision-making between patients and providers.
· Crawford, M. (2014). Making data smart. Journal of AHIMA, 85(2), 24–27, 28.
. Discusses applied informatics and how it can be used to derive useful information from big data, as health care becomes a data-driven industry.
· Dinov, I. D. (2016). Methodological challenges and analytic opportunities for modeling and interpreting big healthcare data. GigaScience, 5(1), 1–15.
. Discusses the challenges of big data analysis and addresses the need for technology and education in creating valuable knowledge assets from big data.
· Hegwer, L. R. (2014). Digging deeper into data. Healthcare Financial Management, 68(2), 80–84.
. Discusses the role of data analysts in improving the financial and clinical performance of health care organizations.
2
Running Head: Organizational Data needs
2
Organizational Data needs
Organization Data Needs Capella UniversityAssignment 2
Internal data sources can include data systems, for example, a radiology data system, medical library data, or the patient finance and billing system. Internal data sources also include EHR data systems such as the demographics, medical history of patients and disease records, medication and allergies records, laboratory test results, personal patient statistics such as gender age, weight and billing information (Porter et al, 2018).
External data sources include data from Centres for Medicare and Medicaid Services (CMS), benchmarking data from other hospitals are ex.
The Future of Personalizing Care Management & the Patient ExperienceRaphael Louis Vitón
Actionable segmentation model findings - by Raphael Louis Vitón & Dream team of industry experts, physicians and leaders from Blue Cross, GEHealthCare, RingLeaderVentures, Maddock Douglas, Dr.Daniel Friedland, etc working on improving health outcomes by Personalizing the Care Management business model for Better Outcomes & Better Economics (through patient empowerment)
Hit 120 full course latest 2016 december [ all discussion , quizes, course pr...lenasour
This document provides information about purchasing an online course on healthcare information technology (HIT 120) from the website ACEHOMEWORK.NET. It includes all course materials such as discussions, quizzes, projects, and exams. The full course appears to cover topics related to the U.S. healthcare system, healthcare professions such as medical coding and billing, healthcare delivery settings, health records, and healthcare information systems. Purchasing information is provided at the top along with the course contact email and website.
A 58-year-old man needs to have his blood tested on a regular basis .docxjosephinepaterson7611
A 58-year-old man needs to have his blood tested on a regular basis so his physician can monitor the effects of the anticoagulant (blood thinner) medication he is currently taking. He usually has his blood drawn at his local lab in San Francisco, California. While traveling on business in Portland, Oregon, he is able to have his blood drawn on the specified day at another LabCorp location. LabCorp operates an extensive network of 1,700 laboratories across the United States, so lab results can be communicated to the patient’s physician from any location.
Geisinger Health System serves an area with 2.6 million people in northeastern and central Pennsylvania. As an integrated health system, it provides coordinated care to meet the wide-ranging needs of patients. The advanced use of information technology has been critical for facilitating communication, reducing duplication of services, and improving the patient experience along the care continuum. Consisting of numerous clinical facilities and a health insurance company, Geisinger Health System offers an innovative approach to care delivery that it hopes will become a national model.
Integration is an organizing principle for care delivery intended to promote better health outcomes and greater clinical and financial accountability. LabCorp’s horizontal integration is a growth strategy that reduces competition from other companies. Geisinger’s vertical integration is a diversification strategy that links a continuum of services to increase the comprehensiveness of care.
In Week 3, you examined the varied services patients may need and researched healthcare organizations that provide those services in your geographic area. In this Discussion, you will examine how integration may affect the delivery of care in your community.
To prepare
for this Discussion:
Review the information related to horizontal and vertical integration in the Resources, including the Shi and Singh (2015) course text, journal articles, and websites.
Research integrated health systems in your geographic area. If you find that one or more of the settings you identified for your Week 3 Assignment are part of an integrated system, you may further research the setting(s) for this Discussion. If you cannot identify integrated systems close to where you live, expand your search to include other areas in your state. If you are an international student, you may examine a specific geographic area in the United States or research two integrated health systems identified in the Resources.
Select
one vertically integrated health system
and
one horizontally integrated health system
on which to focus for this Discussion.
Continue researching these two health systems, noting important information about each health system, including its size, settings/locations, and the services it provides. Investigate how the integration of each system has affected, or is expected to affect, issues related to cost, quality, and access to healthcare se.
NHSFPX 4000 Capella University Eliminating Medical Errors Bibliography.docxwrite5
This document provides instructions for an assessment requiring students to research a current healthcare problem or issue, select four relevant peer-reviewed journal articles, and create an annotated bibliography summarizing the key points of each article. The assessment aims to demonstrate students' ability to apply research skills, think critically to solve healthcare problems, and communicate effectively in writing. Students are asked to identify a topic from a provided list of issues, search academic databases to find sources, evaluate the credibility and relevance of sources, and analyze the sources in an annotated bibliography following APA style guidelines.
This document discusses the HITECH legislation and its requirements for meaningful use of electronic health records (EHRs) in order to receive incentive payments. It outlines the criteria an organization must meet, including improving quality of care, engaging patients, coordinating care, improving population health, and ensuring privacy and security of health information. To qualify for incentives, organizations must demonstrate that their technology is used in meaningful ways consistent with these criteria. The document also provides learning resources on the topic, including articles that discuss strategies for HITECH readiness and the challenges of meeting meaningful use standards.
The HITECH legislation provides incentives to healthcare organizations to adopt electronic health records (EHRs) and demonstrate meaningful use of health information technology. To qualify for EHR incentives, organizations must show that the technology improves quality, safety, efficiency and reduces health disparities. It must also engage patients, improve care coordination and population health. The legislation aims to increase adoption of EHRs while protecting patient privacy. However, meeting meaningful use criteria can be challenging for some organizations. The incentives have increased EHR adoption but ensuring meaningful use that improves care quality remains a work in progress.
Communiqué features articles focusing on the latest hot topics for anesthesiologists, nurse anesthetists, pain management specialists and anesthesia practice administrators.
Communique is created by Anesthesia Business Consultants (ABC), the largest physician billing and practice management company specializing exclusively in the practice of anesthesia and pain management.
ABC serves several thousand anesthesiologists and CRNAs nationwide with anesthesia billing software solutions.
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NURS 6050 GCU Nursing in Florida Presentation.docxstirlingvwriters
This document discusses a presentation for NURS 6050 on nursing regulation in Florida. It provides an overview of boards of nursing and professional nursing associations. The presentation assignment requires describing differences between these groups, the board that regulates nursing in Florida, and how federal and state regulations influence nursing practice and healthcare delivery, costs, and access. Key sources on nursing organizations are also provided.
This document discusses data mining applications in healthcare. It describes how data mining can be used by payers to detect fraud, by physicians to identify effective treatments, and by hospitals to predict patient readmissions. It outlines the standard CRISP-DM process for data mining and discusses challenges like data accuracy and interoperability. Examples of data mining techniques discussed include classification, regression, clustering, and association rule mining. The document recommends using SAS software for its advanced analytics capabilities and applicability to use cases like fraud detection and predicting patient risks and treatment effectiveness.
Running head: REPORT 1
REPORT 5
Consumption Behavior; Electronics
Student’s Name
Institutional Affiliation
Topic description
Consumption behavior is the manner in which an audience responds to product marketing. Consumption behavior is also referred to as buying behavior, and it revolves around the buying intentions and attitudes of individuals. It is important for producers to understand the consumption behavior of existing and prospective customers; this way, they can make goods and services that align to customer tastes and preferences (Friedman, 2018). In addition to that, understanding consumption behavior helps producers to manufacture or process goods that match the aggregate demand of customers. It is not advisable for a business to engage in mass production without considering rough estimates for demand as such may lead to excess inventory that never manages to get off the shelves. This project will give invaluable insights with respect to the behavior of buyers towards electrical appliances.
Significance of the Project
The project is significant because it will answer a multiplicity of pertinent questions regarding market equilibrium of electronic appliances, the influence of Adam Smith's invisible hand in the electronics market, determinants of aggregate demand, and drivers of supply among others. As such, consumers, suppliers, producers, and investors will find the study insightful with respect to answering market questions they may have (Roos & Hahn, 2017). The significance of the research questions offered by the study is that it will make audiences more rational in the choices they make. First, after reading the study, buyers may decide to commit to buying high-quality products as opposed to those of less quality which require replacement every six months. What's more, a majority of the producers that read the study may be influenced to produce high-quality products that make their brand unique in the eyes of customers; with a promise of high quality and longevity of the products involved to customers. Third, the research may influence suppliers to be more committed to excellence.
Historical Data for Key Parameters
The steady sale of electronics in The US does seemed to have followed a clear pattern over time. The frequency with which consumers buy electronics seems quite high. Most producers are looking strike a balance between quality and price get the most customers. Where some are just trying to cash in with cheap and flashy items. The graph below depicts the time line for The US computer/software store sales from 1992 to 2015. Currently, the US Electronics Store Sales is in excess of $25 Billion USD annually.
Source: https://www.statista.com/statistics/197603/annual-computer-and-software-store-sales-in-the-us-since-1992/
The necessity of electronics to us becomes evident when you look at how many US homes have them. The percentage of US house hold owning home computers has incr.
Due in 5 hours strictly-300 wordsVertical and Horizontal Integra.docxhasselldelisa
Due in 5 hours strictly-300 words
Vertical and Horizontal Integration of Health Systems in Various Regions
Post your responses to the Discussion based on the course requirements.
Your Discussion postings should be written in standard edited English and follow APA guidelines as closely as possible given the constraints of the online platform. Be sure to support your work with specific citations from this week’s Learning Resources and additional scholarly sources as appropriate. Initial postings must be 250–350 words (not including references).
A 58-year-old man needs to have his blood tested on a regular basis so his physician can monitor the effects of the anticoagulant (blood thinner) medication he is currently taking. He usually has his blood drawn at his local lab in San Francisco, California. While traveling on business in Portland, Oregon, he is able to have his blood drawn on the specified day at another Labcorp location. Labcorp operates an extensive network of 1,700 laboratories across the United States, so lab results can be communicated to the patient’s physician from any location.
Geisinger Health System serves an area with 2.6 million people in northeastern and central Pennsylvania. As an integrated health system, it provides coordinated care to meet the wide-ranging needs of patients. The advanced use of information technology has been critical for facilitating communication, reducing duplication of services, and improving the patient experience along the care continuum. Consisting of numerous clinical facilities and a health insurance company, Geisinger Health System offers an innovative approach to care delivery that it hopes will become a national model.
Integration is an organizing principle for care delivery intended to promote better health outcomes and greater clinical and financial accountability. Labcorp’s horizontal integration is a growth strategy that reduces competition from other companies. Geisinger’s vertical integration is a diversification strategy that links a continuum of services to increase the comprehensiveness of care.
In Module 3, you examined the varied services a patient may need and researched health care organizations that provide those services in your geographic area. In this Discussion, you will examine how integration affects the delivery of care in your community.
To prepare for this Discussion, review the information related to horizontal and vertical integration in the Learning Resources, including the information in the Shi and Singh (2015) textbook and the journal articles.
Next, research integrated health systems in your geographic area. If you find that one or more of the settings you identified for your Module 3 Assignment are part of an integrated system, you may further research the setting(s) for this Discussion.
Select
one vertically integrated health system
and
one horizontally integrated health system
in your geographic area on which to focus for this Discussion.
Continue resea.
Integration of Health SystemsNote Before completing this Assign.docxJeniceStuckeyoo
Integration of Health Systems
Note:
Before completing this Assignment, please familiarize yourself with the Week 4 Assignment Rubric, located in the
Course Information
area of the course navigation menu.
Intermountain Healthcare is a high-performing integrated health system with facilities in Utah and Idaho. The health system has a long-standing clinical integration structure that encourages professional collaboration. Despite this, in 1999, many physicians at Intermountain Healthcare found it difficult to fulfill the needs of patients with co-occurring physical and mental health conditions. To efficiently and effectively address this issue, Intermountain Healthcare adopted a mental health integration model in many of its primary care facilities, as well as some of its specialty clinics and partner clinics. The team-based approach has improved the coordination of services, resulting in higher quality care at a savings of cost
.
Consider the example above. What advantages does integration afford Intermountain Healthcare? Do other integrated health systems experience similar benefits? Are there disadvantages to integration? If so, what are they?
To prepare for this Assignment,
review the information related to vertical and horizontal integration presented in the Learning Resources.
Select
one
of the following
horizontally integrated
health systems:
National Surgical Hospitals
Select Medical Healthcare
Sunrise Senior Living
Labcorp
Quest Diagnostics
Pfizer Pharmaceuticals
Also select
one
of the following
vertically integrated
health systems:
Kaiser Permanente
Mayo Clinic
Cleveland Clinic
MedStar Health
Memorial Hermann Healthcare System Houston
As an alternative, you may use Becker’s Hospital Review resource to identify a vertically integrated health system.
Using the Walden Library and credible sources on the Internet, research your selected health systems. Investigate the rationale for pursuing integration and the strategies each health system has used to achieve integration. Note information related to the size of each health system, settings/locations, and types of services it provides.
Based on your research, consider the ways in which the
two
health systems are similar to and/or different from one another.
Assess the business and health care-related implications of horizontal and vertical integration of your selected health systems. How does integration impact the management of your selected organizations and the patients/consumers they serve, especially in terms of cost, quality, and access?
Consider any applicable insights you have gained through the Discussion for this week.
The Assignment
Write a paper in which you:
Compare the horizontally integrated health system and the vertically integrated health system you have selected (e.g., size, settings/locations, and types of services).
Explain each health system’s rationale for pursuing integration and the strategies it has used to achieve integration.
Assess the business and.
The document discusses the Query Health initiative, which aims to establish standards and services for distributed population queries of clinical records to enable a national "learning health system." It describes some pilots that are launching this summer and fall to test querying data from various sources like public health departments and the FDA to understand population health metrics and drug safety. The document advocates that implementing distributed population queries following common standards can improve using health IT to benefit patients and populations by aggregating and analyzing vast health data in real-time.
Medical TourismMedical tourism is a much more common practice toAbramMartino96
Medical Tourism
Medical tourism is a much more common practice today for receiving affordable health care services. As the cost of health care continues to rise in the United States, increased numbers of potential patients are flocking to other countries to receive affordable health care services. While medical tourism might affect the financial posterity of your health care organization, it too might be a reflection of an industry's commitment to fostering increased access to affordable health care services. From your perspective as a current or future health care administration leader, is medical tourism a social good?
For this Discussion, reflect on the media pieces in this week's resources, which highlight medical tourism. Consider the potential benefits and consequences of medical tourism from both a consumer and a health care administration leader's perspective.
With these thoughts in mind:
Post an explanation of how the role of medical tourism might relate to social change. Be specific, and provide examples for both the consumer and the health care administration leader.
Discussion
Continue the Discussion and respond to your colleagues' posts (250 words or more), suggesting one challenge your colleague should consider in addressing medical tourism for his or her health care organization.
Colleague
As a healthcare administrator, I will have to consider the potential physical and mental risks first of medical tourism for consumers. I have looked for enough evidence-based research to help me to decide that this would be a choice that I would recommend. However, I did not find what I was looking for to say that I would without reservation and good judgment recommend a client to fly to India or Costa Rica for major surgery. I understand that the cost is so much less for various surgeries and companies and clients can save tons of money (ABC News (Producer), 2013).
I understand that this country’s expensive healthcare prices are driving patients and companies to participate in traveling outside of the country for medical procedures. “Organization for Economic Co-operation and Development (OECD) put the price of a knee replacement in the U.S. at $48,000. Travel to India and the same operation will cost $8500, more than 80% cheaper. A heart bypass that costs $113,000 in the U.S. can be bought for just $3250 in Mexico, while operations in Malaysia are typically 65-80% cheaper” (Lunt, Smith, Exworthy, Green, Horsfall, & Mannion, 2011). So, I see that the cost of healthcare is causing many Americans to file bankruptcy and America pays too much for a healthcare system that is not working. Also, companies who are not at the Fortune 500 status would like to find a way to save money on employee benefits.
Therefore, I would say my thoughts on getting on board with this would be when another country has a life-saving procedure that cannot be performed in this country for various reasonings like a personal moral view of a political party in charge ...
Healthcare analytics 101 - Proverbs to PredictionPromotable
Healthcare is one of the areas with the most opportunity to improve access and outcomes with Big Data.
In her talk, Pamela Taylor, Director of Analytics at Wellcare Health Plans discusses the challenges and opportunities presented by Big Data and how she leverages Data to improve healthcare accessibility and outcomes.
By the end of the event, you'll understand:
What data is available in the healthcare space?
How to ask the right kinds of questions to the right answers from your data?
How to translate insights into actionable initiatives
About your Instructor:
Pamela Taylor is the Director of Quality and Affordability Initiatives at Wellcare-Meridian Health Plans. Her team uses healthcare analytics to develop programs that positively affect the care, cost, and quality for Medicaid and Medicare populations across the country. Via senior roles at Oracle and Slalom Consulting, as well as client leadership for the Centers for Medicare and Medicaid Services (CMS), she transforms data into insights that positively affect members' health. She is a Certified Analytics Professional (CAP), holds an MBA from the Darden School at the University of Virginia and a BS Engineering, and completed graduate coursework in Biostatistics & Epidemiology
Healthcare analytics 101 - Proverbs to Prediction JamesKeller20
Healthcare is one of the areas with the most opportunity to improve access and outcomes with Big Data.
In her talk, Pamela Taylor, Director of Analytics at Wellcare Health Plans discusses the challenges and opportunities presented by Big Data and how she leverages Data to improve healthcare accessibility and outcomes.
By the end of the event, you'll understand:
What data is available in the healthcare space?
How to ask the right kinds of questions to the right answers from your data?
How to translate insights into actionable initiatives
About your Instructor:
Pamela Taylor is the Director of Quality and Affordability Initiatives at Wellcare-Meridian Health Plans. Her team uses healthcare analytics to develop programs that positively affect the care, cost, and quality for Medicaid and Medicare populations across the country. Via senior roles at Oracle and Slalom Consulting, as well as client leadership for the Centers for Medicare and Medicaid Services (CMS), she transforms data into insights that positively affect members' health. She is a Certified Analytics Professional (CAP), holds an MBA from the Darden School at the University of Virginia and a BS Engineering, and completed graduate coursework in Biostatistics & Epidemiology
Similar to KOS Design for Healthcare Decision-making (20)
1. StrategiesTaxonomy
October 13, 2016 Copyright 2015 Taxonomy Strategies LLC. All rights reserved.
KOS Design for Healthcare Decision-making Based
on Consumer Criteria and User Stories
Joseph A. Busch, Principal Researcher, Taxonomy
Strategies, Washington, D.C.
Vivian Bliss, Independent Contractor, Kirkland, WA
2. 2Taxonomy Strategies The business of organized information
Consumer Health Care Taxonomy background
Designed to support types of queries a consumer health care information service
such as a website might get from a wide variety of consumers in a wide variety of
care conditions.
Project sponsor:
U.S. Centers for Medicare and Medicaid Services (CMS)
Users:
Medicare/Medicaid beneficiary*
Caregiver
* Medicare is the U.S. government single payer health insurance for seniors over 65 years old. Medicaid is the
U.S. jointly funded federal and State health insurance program for low-income people.
3. 3Taxonomy Strategies The business of organized information
Related research: Information seeking
Critique of social science qualitative methods (Davenport). Scientificity – consumer decision
making is very different from studies of students, engineers and scientists.
Most consumers search for health information on the Internet, usually starting with an organic
search engine. The most commonly researched topics are diseases or conditions, treatments
or procedures, and doctors or other health professionals. Half of online health information
research is on behalf of someone else. (Pew)
4. 4Taxonomy Strategies The business of organized information
Related research: Quality of care
Evidence-based decision-making by clinicians vs. factors that patients identify as most
important such as cost, qualifications and accessibility of care. (Hibbard & Sofaer)
Patient narratives are of more interest to consumers, and easier for them to understand.
(Schlesinger)
5. 5Taxonomy Strategies The business of organized information
Related research: KOS development
Most health care KOS were originally designed to support researchers, clinicians and health
insurers. But they can be useful sources to build consumer-oriented health care KOS, rather
than starting from scratch. (Hyvönen)
Consumer terminology used in health care related activities can be useful to improving
existing health care KOS. (Doing-Harris)
6. 6Taxonomy Strategies The business of organized information
Sources: CMS health care website prototype
CareFinder prototype envisions leveraging Medicare’s massive datasets to support consumers in
making better health care decisions.
7. 7Taxonomy Strategies The business of organized information
Sources: Medicare “Compare” websites and datasets
Compare websites and datasets provide directory information about CMS-registered service
providers and suppliers, and reported quality measures.
8. 8Taxonomy Strategies The business of organized information
Sources: Inventory of data.medicare.gov datasets
Each Medicare dataset has a different structure and number of tables.
9. 9Taxonomy Strategies The business of organized information
Sources: Inventory of quality measures
Existing quality measures were categorized by type, usefulness, availability and source.
10. 10Taxonomy Strategies The business of organized information
Sources: Existing CMS and HHS taxonomies
The methods and learnings from earlier projects helped inform the Consumer Health Care
Taxonomy approach.
Substance Abuse and Mental Health Services
Administration (SAMHSA)
Healthcare.gov
11. 11Taxonomy Strategies The business of organized information
Sources: Authoritative sources, websites and query logs
More than 100 vocabulary sources for Consumer Health Care concepts including:
National Library of Medicine’s Medical Subject Headings (MeSH).
International Classification of Diseases (ICD) used by CMS and other health insurance providers to
classify diseases and conditions.
Unified Medical Language System (UMLS), a mapping of more than 100 vocabularies and
classification systems including MeSH and ICD.
Query logs from Physician Compare and MedLine Plus to help identify unique facets, relevant
terms, and synonyms for the Taxonomy.
Semantic relationships between Consumer Health Care Taxonomy concepts were made
based on trusted sources such as:
Online symptom checkers from the Mayo Clinic, Cleveland Clinic, NHS UK, and HealthDirect
Australia.
Physician Compare mappings of conditions and symptoms to medical specialties.
Google medical search.
12. 12Taxonomy Strategies The business of organized information
Sources: Interviews with SMEs and key stakeholders
More than 30 CMS staff working on the various Compare websites.
CMS Compare website data contractors.
IDEO team that built the CareFinder prototype.
CMS user research staff.
External health care professionals.
Friends and family who have health care stories.
13. 13Taxonomy Strategies The business of organized information
What do consumers want or need to make choices
about where to get care?
14. 14Taxonomy Strategies The business of organized information
Sources: User stories
Sharon is a 52 year old with ESRD who
received a kidney transplant 4 years ago. The
kidney has recently begun to fail and she
needs hemodialysis again 3 times a week. She
also recently broke her leg and needs physical
therapy 2 times a week. She works as a
waitress but is currently unemployed due to
her accident, and does not have insurance
besides Medicaid. Sharon needs to find a
dialysis center close to home since a family
member will need to drive her due to her leg
injury. She also needs to coordinate her
dialysis (3x week) with her physical therapy (2x
week).
Paula is an 85 year-old woman. She was out
driving in her neighborhood when all of a
sudden she lost her way and she couldn’t find
her way back home. This episode scared her
and her family. She began to worry about her
mental capacity, and wondered what kind of
specialist she could see who could assess her
mental acuity. Paula needs to figure out what
type of specialist can help assess her mental
acuity, and find a trustworthy specialist who is
close to her apartment and covered by her
health plan.
15. 15Taxonomy Strategies The business of organized information
Consumer Health Care Taxonomy: Purpose
Needs to function as middleware that translates consumer queries into the language necessary
for retrieval of data from Medicare.gov datasets and Good to Know (GTK) content.
Compare
Data
Good to
Know
Consumer Health
Care Taxonomy
TechnicalLanguage
ConsumerQueries
Comprehensive &
accurate results
Highly relevant
& timely content
Search Engine
Results
16. 16Taxonomy Strategies The business of organized information
Consumer Health Care Taxonomy: Functional requirements
Provide enough information for any user, tool, or program to find and use content in any
Medicare.gov dataset or GTK content.
Define what vocabularies are needed to support consumer health care decision making.
Identify authoritative vocabulary sources for each taxonomy facet.
Provide vocabularies for each taxonomy facet that are sufficiently defined to be used to build
a functional application (i.e., a CareFinder-like application).
Be readily extensible to support new application requirements.
Be flexible enough to accommodate additions of missing categories and changes to existing
categories as needed.
Define relationships between the vocabularies useful for searching Medicare.gov datasets
and GTK content.
17. 17Taxonomy Strategies The business of organized information
Consumer Health Care Taxonomy: Concept scheme
Eleven facets in the Consumer Health Care Taxonomy displayed in the PoolParty Linked Data
frontend.
18. 18Taxonomy Strategies The business of organized information
Consumer Health Care Taxonomy: Entry terms (skos:prefLabel)
Entry terms have been identified by analyzing search logs for similar sites, related and
curated content, popular news sources, and user research including uses cases.
We capture both the technical version of a term and the consumer-friendly or colloquial
version(s) of a term.
Sometimes the best entry term is the technical version, and sometimes it is the consumer-
friendly version.
Results of Spinal tap v. Lumbar
puncture in Google Fight.
19. 19Taxonomy Strategies The business of organized information
Practical consideration: Post-coordination vs. pre-coordination
As middleware assisting consumers by reflecting their language, many multiple word concepts
need to be kept together (that is, pre-coordinated) in this taxonomy.
For example, “Hip fracture” is included in the Taxonomy as a pre-coordinated phrase in the
Conditions facet.
20. 20Taxonomy Strategies The business of organized information
Synonyms and Quasi-synonyms (skos:altLabel)
Variants of “End-stage renal disease”. Quasi-synonyms of “Canes”.
21. 21Taxonomy Strategies The business of organized information
Part of “Hips, legs and feet”. Type of “Fracture”.
Hierarchical relationships (skos:broader, skos:narrower)
22. 22Taxonomy Strategies The business of organized information
Relationships to entry terms in other facets are a custom schema
Semantic Relation Inverse Semantic Relation
Facet Class Facet Class Facet Class Facet Class
Body Locations
and Systems
is affected by Conditions Conditions affects body
location
Body Locations
and Systems
Kidneys is affected by End-stage renal
disease
End-stage renal
disease
affects body location Kidneys
Conditions has treatment of Tests & Treatments Tests & Treatments is treatment for Conditions
End-stage renal
disease
has treatment of Dialysis Dialysis is treatment for End-stage renal
disease
Conditions is concern of Specialty areas Specialty areas is concerned about Conditions
End-stage renal
disease
is concern of Nephrology Nephrology is concerned about End-stage renal
disease
Conditions needs medical
supply
Medical Equipment
& Supplies
Medical Equipment
& Supplies
is needed for
condition
Conditions
End-stage renal
disease
needs medical
supply
Dialysis Equip. &
Supplies
Dialysis Equip. &
Supplies
is needed for
condition
End-stage renal
disease
Care Setting is location for
treatment
Tests & Treatments Tests & Treatments is treatment
provided in
Care Setting
Dialysis Facilities Is location for
treatment
Dialysis Dialysis Is treatment
provided in
Dialysis Facilities
23. 23Taxonomy Strategies The business of organized information
Relationships to entry terms in other facets are a custom schema (2)
Semantic Relation Inverse Semantic Relation
Facet Class Facet Class Facet Class Facet Class
Care Settings specializes in Specialty Areas Specialty Areas is specialty of Care Settings
Dialysis Facilities specializes in Dialysis Services Dialysis Services is specialty of Dialysis Facilities
Medical Supplies &
Equipment
is used in
treatment
Tests & Treatments Tests & Treatments uses medical
supply
Medical Supplies &
Equipment
Dialysis Equipment
& Supplies
is used in treatment Dialysis Dialysis uses medical supply Dialysis Equipment
& Supplies
Specialty Areas includes treatment
of
Tests & Treatments Tests & Treatments is part of practice
area
Specialty Areas
Nephrology includes treatment of Dialysis Dialysis is part of practice
area
Nephrology
Care Settings has focus of
condition
Conditions Conditions is focused on in
setting
Care Settings
Dialysis Facilities has focus of
condition
End-stage renal
disease
End-stage renal
disease
is focused on in
setting
Dialysis Facilities
Body Locations &
Systems
location is treated
by
Tests & Treatments Tests & Treatments treats body
location
Body Locations &
Systems
Kidneys location is treated by Dialysis Dialysis treats body location Kidneys
24. 24Taxonomy Strategies The business of organized information
Semantic relationships diagram
All relationships ESRD relationships
25. 25Taxonomy Strategies The business of organized information
Mapping to Medicare.gov dataset values (skos:relatedMatch)
Example of mapping a Specialty Area to
Medicare.gov data set. (Initial mappings are
narrow in scope).
26. 26Taxonomy Strategies The business of organized information
Project observations
Consumer healthcare related decision-making behavior is different from clinicians.
Focus on the problem to be solved: Translate consumer queries into the language necessary for
retrieval of data from Medicare.gov datasets and Good to Know web content.
Exhaustivity is not a requirement.
While there are many healthcare-related technical KOS available, consumer-friendly
terminology is generally not available from authoritative sources.
A lot of work is required to compile a useful KOS from many sources.
Documentation of editorial guidelines supports this activity and helps to make it scalable.
27. 27Taxonomy Strategies The business of organized information
Project observations (2)
A small set of extensible taxonomies and custom semantic relationships are sufficient to
develop the domain model.
A concise set of subject predicate object relationships, e.g., Condition is_concern_of Specialty
Area.
SKOS is not intended for encoding more complex ontologies beyond thesaurus relationships
(hierarchy, equivalent and generic associative), so a custom schema was developed for specific
associative relationships.
A strategy to setup separate concept schemes for the Consumer Health Care Taxonomy and
the Medicare.gov datasets controlled vocabularies provided flexibility and extensibility.
SKOS relatedMatch was used to map across the concept schemes.
KOS management tools are immature in their capacity to accurately and efficiently batch
import and export KOS, interim taxonomies and semantic relationships.
28. 28Taxonomy Strategies The business of organized information
Resources: Background research
E. Davenport. “Confessional Methods and Everyday Life Information Seeking.” 44 Annual
Review of Information Science & Technology (2010) pp.533-562.
Pew Research Center. “Health Fact Sheet.” (December 16, 2013).
http://www.pewinternet.org/fact-sheets/health-fact-sheet/. Last checked October 3, 2016.
J. Hibbard, S. Sofaer. “Best Practices in Public Reporting No. 1: How to Effectively Present
Health Care Performance Data to Consumers.” AHRQ Publication No. 10-0082-EF. June
2010. http://archive.ahrq.gov/professionals/quality-patient-safety/quality-
resources/tools/pubrptguide1/pubrptguide1.pdf. Last checked October 3, 2016.
M. Schlesinger, R. Grob, D. Shaller, S. C. Martino, A. M. Parker, M. L. Finucane, J. L. Cerully,
L. Rybowski “Taking Patients’ Narratives about Clinicians from Anecdote to Science.” 373
New England Journal of Medicine (August 13, 2015) pp. 675-679.
http://www.nejm.org/doi/full/10.1056/NEJMsb1502361. Last checked: September 7, 20016.
29. 29Taxonomy Strategies The business of organized information
Resources: Background research (2)
K. M. Doing-Harris, Q. Zeng-Treitler. “Computer-Assisted Update of a Consumer Health
Vocabulary through Mining of Social Network Data.” 13(2) J Med Internet Res (2011) p. e37.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221384/. Last checked: September 7, 20016.
http://www.PatientsLikeMe.com/ is a free website where people can share their health data to
track their progress.
Pew Research Center. “Tracking for Health.” (January 28, 2013).
http://www.pewinternet.org/2013/01/28/tracking-for-health/. Last checked October 3, 2016.
30. 30Taxonomy Strategies The business of organized information
Resources: Center for Medicare and Medicaid Services (CMS) websites
Hospital Compare. http://www.medicare.gov/hospitalcompare/.
Nursing Home Compare. http://www.medicare.gov/nursinghomecompare/.
Physician Compare. http://www.medicare.gov/physiciancompare/.
Home Health Compare. http://www.medicare.gov/homehealthcompare/.
Dialysis Facility Compare. http://www.medicare.gov/dialysisfacilitycompare/.
Supplier Directory. http://www.medicare.gov/supplierdirectory/.
Data.Medicare.gov. https://data.medicare.gov/.
31. 31Taxonomy Strategies The business of organized information
Resources: Symptom checkers
Mayo Clinic Symptom Checker. http://www.mayoclinic.org/symptom-checker/select-
symptom/itt-20009075.
Cleveland Clinic Symptom Checker.
http://my.clevelandclinic.org/health/mysymptomchecker.aspx.
HealthDirect Symptom Checker. https://www.healthdirect.gov.au/symptom-checker.
32. 32Taxonomy Strategies The business of organized information
Questions?
Joseph Busch (Washington, DC, USA)
jbusch@taxonomystrategies.com
skype: jbusch94110
mobile: 1-415-377-7912