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In my first term in HuCo I was assigned to present the concept of Visualization in class. I made a survey looking for definition, usage and examples. I put all to gather in this keynotes. Now it is ...

In my first term in HuCo I was assigned to present the concept of Visualization in class. I made a survey looking for definition, usage and examples. I put all to gather in this keynotes. Now it is available here. Enjoy.

See more here: http://luciano.fluxo.art.br/?p=87

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  • Pictures taken in New york\nRED - Tourists\nBLUE - Residents\n\nUser can have their own conclusion\n
  • Cross-reference in bible\n
  • Survey of text visualization techniques\nAndrey A. Puretskiy, Gregory L. Shutt and Michael W. Berry\n\nWordle\nhttp://www.wordle.net/\n
  • Survey of text visualization techniques\nAndrey A. Puretskiy, Gregory L. Shutt and Michael W. Berry\n\nWordle\nhttp://www.wordle.net/\n
  • The software creates a series of color-coded bars (by author), each corresponding to a single version or revision of the document. Same-color segments on adjacent bars are connected, creating a three-dimensional visual effect that provides the user with information on the way the document was altered over time by multiple authors\n\nDarwin\nhttp://benfry.com/traces/\n
  • The visualization provided by TextArc consists of two levels. First, the original text is available around the periphery of the visualization area. Second, an interconnected graph of terms is provided in the middle of the visualization area. The two areas are interconnected, meaning that the user is able to select any particular term in the middle area and quickly see its context in the full text that is displayed along the periphery.\n\nTextArc\nhttp://www.textarc.org/\n
  • Has been used to support the extraction and tracking of scenarios and plots from news articles defining the VAST 2007 Contest (Scholtz et al. 2007).\n\nIn providing news stories, blog entries, background information, and limited multimedia materials (small maps and data tables), the contest organizers challenged the participants to investigate a major law enforcement/counter-terrorism scenario, form a hypothesis, and collect supporting evidence.\n\nText mining could greatly benefit from the design of more intuitive visualizations that expose or verify potential scenarios of human activity.\n\nFeatureLens allows the user to explore frequently occurring terms or patterns in a collection of documents.\nConnections between these frequent terms and the dates at which they appear in the set of documents can quickly be visualized and investigated.\n
  • Narrative Visualization: Telling Stories with Data\nEdward Segel and Jeffrey Heer\n
  • Narrative Visualization: Telling Stories with Data\nEdward Segel and Jeffrey Heer\n
  • Narrative Visualization: Telling Stories with Data\nEdward Segel and Jeffrey Heer\n
  • Narrative Visualization: Telling Stories with Data\nEdward Segel and Jeffrey Heer\n
  • Visual structuring refers to mechanisms that communicate the overall structure of the narrative to the viewer and allow him to identify his position within the larger organization of the visualization.\nThese design strategies help orient the viewer early on (establishing shot, checklist, consistent visual platform) and allow the\nviewer to track his progress through the visualization (progress bar, timeline slider).\n\nHighlighting refers to visual mechanisms that help direct the viewer’s attention to particular elements in the display.\nThis can be achieved through the use of color, motion, framing, size, audio, and more, which augment the salience of an element relative to its surroundings. Many of these strategies are also used in film, art, and comics.\n\nTransition guidance concerns techniques for moving withinor between visual scenes without disorienting the viewer.\nA common technique from film is continuity editing, though other strategies (e.g., animated transitions, object continuity, camera motion) also exist.\n
  • Visual structuring refers to mechanisms that communicate the overall structure of the narrative to the viewer and allow him to identify his position within the larger organization of the visualization.\nThese design strategies help orient the viewer early on (establishing shot, checklist, consistent visual platform) and allow the\nviewer to track his progress through the visualization (progress bar, timeline slider).\n\nHighlighting refers to visual mechanisms that help direct the viewer’s attention to particular elements in the display.\nThis can be achieved through the use of color, motion, framing, size, audio, and more, which augment the salience of an element relative to its surroundings. Many of these strategies are also used in film, art, and comics.\n\nTransition guidance concerns techniques for moving withinor between visual scenes without disorienting the viewer.\nA common technique from film is continuity editing, though other strategies (e.g., animated transitions, object continuity, camera motion) also exist.\n
  • Visual structuring refers to mechanisms that communicate the overall structure of the narrative to the viewer and allow him to identify his position within the larger organization of the visualization.\nThese design strategies help orient the viewer early on (establishing shot, checklist, consistent visual platform) and allow the\nviewer to track his progress through the visualization (progress bar, timeline slider).\n\nHighlighting refers to visual mechanisms that help direct the viewer’s attention to particular elements in the display.\nThis can be achieved through the use of color, motion, framing, size, audio, and more, which augment the salience of an element relative to its surroundings. Many of these strategies are also used in film, art, and comics.\n\nTransition guidance concerns techniques for moving withinor between visual scenes without disorienting the viewer.\nA common technique from film is continuity editing, though other strategies (e.g., animated transitions, object continuity, camera motion) also exist.\n
  • Visual structuring refers to mechanisms that communicate the overall structure of the narrative to the viewer and allow him to identify his position within the larger organization of the visualization.\nThese design strategies help orient the viewer early on (establishing shot, checklist, consistent visual platform) and allow the\nviewer to track his progress through the visualization (progress bar, timeline slider).\n\nHighlighting refers to visual mechanisms that help direct the viewer’s attention to particular elements in the display.\nThis can be achieved through the use of color, motion, framing, size, audio, and more, which augment the salience of an element relative to its surroundings. Many of these strategies are also used in film, art, and comics.\n\nTransition guidance concerns techniques for moving withinor between visual scenes without disorienting the viewer.\nA common technique from film is continuity editing, though other strategies (e.g., animated transitions, object continuity, camera motion) also exist.\n
  • Ordering refers to the ways of arranging the path viewers take through the visualization.\nSometimes this path is prescribed by the author (linear), sometimes there is no path suggested at all (random access), and other times the user must select a path among multiple alternatives (user-directed).\n\nInteractivity refers to the different ways a user can manipulate the visualization (filtering, selecting, searching, navigating),\nand also how the user learns those methods (explicit instruction, tacit tutorial, initial configuration).\n\nMessaging refers to the ways a visualization communicates observations and commentary to the viewer.\nThis might be achieved through short text fields (labels, captions, headlines, annotations) or more substantial descriptions (articles, introductions, summaries).\n\n
  • Ordering refers to the ways of arranging the path viewers take through the visualization.\nSometimes this path is prescribed by the author (linear), sometimes there is no path suggested at all (random access), and other times the user must select a path among multiple alternatives (user-directed).\n\nInteractivity refers to the different ways a user can manipulate the visualization (filtering, selecting, searching, navigating),\nand also how the user learns those methods (explicit instruction, tacit tutorial, initial configuration).\n\nMessaging refers to the ways a visualization communicates observations and commentary to the viewer.\nThis might be achieved through short text fields (labels, captions, headlines, annotations) or more substantial descriptions (articles, introductions, summaries).\n\n
  • Ordering refers to the ways of arranging the path viewers take through the visualization.\nSometimes this path is prescribed by the author (linear), sometimes there is no path suggested at all (random access), and other times the user must select a path among multiple alternatives (user-directed).\n\nInteractivity refers to the different ways a user can manipulate the visualization (filtering, selecting, searching, navigating),\nand also how the user learns those methods (explicit instruction, tacit tutorial, initial configuration).\n\nMessaging refers to the ways a visualization communicates observations and commentary to the viewer.\nThis might be achieved through short text fields (labels, captions, headlines, annotations) or more substantial descriptions (articles, introductions, summaries).\n\n
  • Ordering refers to the ways of arranging the path viewers take through the visualization.\nSometimes this path is prescribed by the author (linear), sometimes there is no path suggested at all (random access), and other times the user must select a path among multiple alternatives (user-directed).\n\nInteractivity refers to the different ways a user can manipulate the visualization (filtering, selecting, searching, navigating),\nand also how the user learns those methods (explicit instruction, tacit tutorial, initial configuration).\n\nMessaging refers to the ways a visualization communicates observations and commentary to the viewer.\nThis might be achieved through short text fields (labels, captions, headlines, annotations) or more substantial descriptions (articles, introductions, summaries).\n\n
  • which prioritize the author-driven approach\nPrice of weedhttp://www.priceofweed.com/\n
  • which prioritize the author-driven approach\nPrice of weedhttp://www.priceofweed.com/\n
  • which prioritize the author-driven approach\nPrice of weedhttp://www.priceofweed.com/\n
  • Reader-driven is prioritized\n\nFive Major North Korean Prison Camps\nhttp://www.washingtonpost.com/wp-srv/special/world/north-korean-prison-camps-2009/?ad=inw\n
  • Reader-driven is prioritized\n\nFive Major North Korean Prison Camps\nhttp://www.washingtonpost.com/wp-srv/special/world/north-korean-prison-camps-2009/?ad=inw\n
  • that promotes a dialogue between the two approaches\n\nBudget Forecasts\nhttp://www.nytimes.com/interactive/2010/02/02/us/politics/20100201-budget-porcupine-graphic.html\n\nGapMindhttp://www.gapminder.org\n
  • that promotes a dialogue between the two approaches\n\nBudget Forecasts\nhttp://www.nytimes.com/interactive/2010/02/02/us/politics/20100201-budget-porcupine-graphic.html\n\nGapMindhttp://www.gapminder.org\n
  • that promotes a dialogue between the two approaches\n\nBudget Forecasts\nhttp://www.nytimes.com/interactive/2010/02/02/us/politics/20100201-budget-porcupine-graphic.html\n\nGapMindhttp://www.gapminder.org\n
  • that promotes a dialogue between the two approaches\n\nBudget Forecasts\nhttp://www.nytimes.com/interactive/2010/02/02/us/politics/20100201-budget-porcupine-graphic.html\n\nGapMindhttp://www.gapminder.org\n
  • that promotes a dialogue between the two approaches\n\nBudget Forecasts\nhttp://www.nytimes.com/interactive/2010/02/02/us/politics/20100201-budget-porcupine-graphic.html\n\nGapMindhttp://www.gapminder.org\n
  • Guide - Visualization can be too complicate or too big... so users need some tutorial or guide\n
  • NYT - Pushing Visualization in journalism\n
  • Dark = Facebook\nYellow = non facebok\n
  • Dark = Facebook\nYellow = non facebok\n
  • Many eye - Democratize visualization\n
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A Survey of Visualizations A Survey of Visualizations Presentation Transcript

  • VISUALIZATION
  • VISUALIZATIONBY LUCIANO FRIZZERA
  • ? WHAT IS VISUALIZATION ? 100 96 75 70 50 58 55 53 43 25 26 17 0 2007 2008 2009 2010
  • ? WHAT IS VISUALIZATION ?• VISUALIZATION IS THE VISUAL REPRESENTATION OF DATA. 100 96 75 70 50 58 55 53 43 25 26 17 0 2007 2008 2009 2010
  • ? WHAT IS VISUALIZATION ?• CAN BE ANY KIND OF DATA: WORDS IN A TEXT, DEMOGRAPHICS OF SOME COUNTRY, ECONOMICS, FOOD, TIME, SOUND.... WHATEVER YOU WANT.
  • ? WHAT IS VISUALIZATION ?• CAN BE ANY KIND OF DATA: WORDS IN A TEXT, DEMOGRAPHICS OF SOME COUNTRY, ECONOMICS, FOOD, TIME, SOUND.... WHATEVER YOU WANT. • IT IS USED IN A VARY WIDE FIELD: ECONOMY, STATISTIC, BUSINESS, CARTOGRAPHY, ENGINEERING, BIOLOGY, JOURNALISM, ETC.
  • VISUALIZATION OF YESTERDAY• FOR A LONG TIME WE USE FINANÇAS Tabela 37 - Evolução do ICMS, FPM, ISS e IPTU em Valores constantes VISUALIZATION TO ICMS 2004 2005 2006 2007 2008 2009 28.089.692,67 32.521.843,47 37.225.189,04 40.735.983,77 44.789.853,51 44.762.831,13 51.207.919,18 2010 SUPPORT FPM 27.533.785,28 33.858.948,82 35.392.219,67 38.029.637,46 43.883.960,59 39.621.209,66 36.145.758,26 pação dos Municípios (IPM) de Cariacica devido às novas empresas ISS 14.033.032,15 18.877.408,85 23.363.805,43 29.491.960,56 34.867.702,20 34.695.445,21 38.446.424,15 geradoras de ICMS que se instalaram no município nos últimos anos. IPTU 3.103.499,59 3.073.168,72 3.554.633,54 4.160.290,63 4.107.445,86 4.545.419,78 6.848.492,49 STORYTELLING. Em 2009 Cariacica se configura como o município do ES com menor receita per capita, conforme pode ser observado na tabela 38. Porém, com os dados sobre população divulgados pelo Censo 2010 e consi- Fonte: Balanços Municipais - Resumo Geral da Receita - Anexo 2. Gráfico 18 - Evolução do ICMS, FPM, ISS e IPTU em Valores constantes derando a receita total do município prevista para 2011, a receita per capita de Cariacica passa a se configurar em torno de R$ 1.000,00. Mesmo com a menor capacidade de atendimento à população dentre• BASICALLY IT WAS todos os municípios do Espírito Santo, visto que a receita per capita é a menor do Estado, Cariacica entre 2005 e 2009 foi o quarto mu- nicípio do Espírito Santo que mais investiu no período, na ordem de STATIC CHARTS TO aproximadamente R$ 213 milhões. Além disso, o município ainda consegue figurar entre os cem que mais investem no Brasil, de acordo com dados da Revista Multicidades. Na REPRESENT edição de 2010, Cariacica aparece como 71º munícipio do Brasil em total de investimentos. Esse crescimento significa um salto pisitivo em direção à consolidação de uma cidade com mais equipamentos so- FINANCIAL AND cials e com mais infraestrutura, tais como ruas pavimentadas, escolas, unidades de saúde, entre outros. Os recursos destinados aos investimentos cresceram de 2004 a 2010 STATISTIC DATA quase que de forma sucessiva, já que nos anos de 2009 e 2010, devido principalmente à crise econômica mundial, os investimentos em geral diminuíram, não sendo diferente em Cariacica. No entanto, apesar do ON REPORTS. decréscimo dos últimos dois anos, o investimento em 2010 ainda foi 265% maior do que o de 2004. Fonte: Balanços Municipais - Resumo Geral da Receita - Anexo 2. Obs: Valores constantes com base em 2010, corrigidos pelo IPCA. Elaboração: SEMGE/PMC 100 C a r i a c i c a e m d a d o s | 2 0 1 1
  • VISUALIZATION OF YESTERDAY• NEWSPAPERS USE AS AN INFOGRAPHIC.• STARTING TO MERGE IMAGE AND DATA TOGETHER
  • VISUALIZATION OF TODAY • NOW, WE ARE USING TEXT MINING AND CRUNCHING HUGE DATABASE TO CREATE VISUALIZATION.
  • VISUALIZATION OF TODAY • NOW, WE ARE USING TEXT MINING AND CRUNCHING HUGE DATABASE TO CREATE VISUALIZATION.
  • VISUALIZATION OF TODAY • NOW, WE ARE USING TEXT MINING AND CRUNCHING HUGE DATABASE TO CREATE VISUALIZATION.
  • VISUALIZATION OF TODAY • NOW, WE ARE USING TEXT MINING AND CRUNCHING HUGE DATABASE TO CREATE VISUALIZATION. • COMBINE COMPUTER SCIENCE, STATISTIC, ARTS DESIGN AND STORYTELLING.
  • VISUALIZATION OF TODAY • NOW, WE ARE USING TEXT MINING AND CRUNCHING HUGE DATABASE TO CREATE VISUALIZATION. • COMBINE COMPUTER SCIENCE, STATISTIC, ARTS DESIGN AND STORYTELLING. • CREATING DIFFERENT CONTEXTS.
  • VISUALIZATION OF TODAY • NOW, WE ARE USING TEXT MINING AND CRUNCHING HUGE DATABASE TO CREATE VISUALIZATION. • COMBINE COMPUTER SCIENCE, STATISTIC, ARTS DESIGN AND STORYTELLING. • CREATING DIFFERENT CONTEXTS. • USING INTERACTIVITY TO ENGAGE THE AUDIENCE.
  • VISUALIZATION OF TODAY • IT IS VERY COMMON TO SEE THINGS THAT WE NEVER SAW BEFORE.
  • VISUALIZATION OF TODAY
  • VISUALIZATION OF TODAY
  • TEXT MINING + VISUALIZATION• COMBINING TEXT MINING WITH VISUALIZATION CAN PROVIDE A BIG PICTURE OF LARGE AMOUNT OF TEXT DATA.
  • TEXT MINING + VISUALIZATION• COMBINING TEXT MINING WITH VISUALIZATION CAN PROVIDE A BIG PICTURE OF LARGE AMOUNT OF TEXT DATA.• TAG CLOUD • WORDLE • TEXTCROWD
  • TEXT MINING + VISUALIZATION• COMBINING TEXT MINING WITH VISUALIZATION CAN PROVIDE A BIG PICTURE OF LARGE AMOUNT OF TEXT DATA.• TAG CLOUD • WORDLE • TEXTCROWD
  • TEXT MINING + VISUALIZATION• AUTHORSHIP AND CHANGE TRACKING
  • TEXT MINING + VISUALIZATION• DATA EXPLORATION AND THE SEARCH FOR NOVEL PATTERNS
  • TEXT MINING + VISUALIZATION• VISUAL ANALYTICS
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER IDENTIFIED FEATURES AND TECHNIQUES ON VISUALIZATION TO UNDERSTAND HOW IT CAN BE A NEW WAY OF STORY TELLING.
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER IDENTIFIED FEATURES AND TECHNIQUES ON VISUALIZATION TO UNDERSTAND HOW IT CAN BE A NEW WAY OF STORY TELLING.• THEY ANALYZED THE STRUCTURED OF 58 VISUALIZATION LOOKING FOR:
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER IDENTIFIED FEATURES AND TECHNIQUES ON VISUALIZATION TO UNDERSTAND HOW IT CAN BE A NEW WAY OF STORY TELLING.• THEY ANALYZED THE STRUCTURED OF 58 VISUALIZATION LOOKING FOR: • GENRE
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER IDENTIFIED FEATURES AND TECHNIQUES ON VISUALIZATION TO UNDERSTAND HOW IT CAN BE A NEW WAY OF STORY TELLING.• THEY ANALYZED THE STRUCTURED OF 58 VISUALIZATION LOOKING FOR: • GENRE • VISUAL NARRATIVE
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER IDENTIFIED FEATURES AND TECHNIQUES ON VISUALIZATION TO UNDERSTAND HOW IT CAN BE A NEW WAY OF STORY TELLING.• THEY ANALYZED THE STRUCTURED OF 58 VISUALIZATION LOOKING FOR: • GENRE • VISUAL NARRATIVE • NARRATIVE STRUCTURE
  • VISUALIZATION AS STORYTELLING• GENRES
  • VISUALIZATION AS STORYTELLING • GENRES• VISUAL NARRATIVE IS VISUAL DEVICES THAT ASSIST AND FACILITATE THE NARRATIVE. THEY DIVIDED IN THREE SECTIONS:
  • VISUALIZATION AS STORYTELLING • GENRES• VISUAL NARRATIVE IS VISUAL DEVICES THAT ASSIST AND FACILITATE THE NARRATIVE. THEY DIVIDED IN THREE SECTIONS: • VISUAL STRUCTURING
  • VISUALIZATION AS STORYTELLING • GENRES• VISUAL NARRATIVE IS VISUAL DEVICES THAT ASSIST AND FACILITATE THE NARRATIVE. THEY DIVIDED IN THREE SECTIONS: • VISUAL STRUCTURING • HIGHLIGHTING
  • VISUALIZATION AS STORYTELLING • GENRES• VISUAL NARRATIVE IS VISUAL DEVICES THAT ASSIST AND FACILITATE THE NARRATIVE. THEY DIVIDED IN THREE SECTIONS: • VISUAL STRUCTURING • HIGHLIGHTING • TRANSITION GUIDANCE.
  • VISUALIZATION AS STORYTELLING
  • VISUALIZATION AS STORYTELLING• NARRATIVE STRUCTURE IS A NON-VISUAL MECHANISMS THAT ASSIST AND FACILITATE THE NARRATIVE. DIVIDED INTO THREE SECTIONS:
  • VISUALIZATION AS STORYTELLING• NARRATIVE STRUCTURE IS A NON-VISUAL MECHANISMS THAT ASSIST AND FACILITATE THE NARRATIVE. DIVIDED INTO THREE SECTIONS: • ORDERING
  • VISUALIZATION AS STORYTELLING• NARRATIVE STRUCTURE IS A NON-VISUAL MECHANISMS THAT ASSIST AND FACILITATE THE NARRATIVE. DIVIDED INTO THREE SECTIONS: • ORDERING • INTERACTIVITY
  • VISUALIZATION AS STORYTELLING• NARRATIVE STRUCTURE IS A NON-VISUAL MECHANISMS THAT ASSIST AND FACILITATE THE NARRATIVE. DIVIDED INTO THREE SECTIONS: • ORDERING • INTERACTIVITY • MESSAGING
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER NAMED 3 MODELS OF STORYTELLING USING VISUALIZATIONS:
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER NAMED 3 MODELS OF STORYTELLING USING VISUALIZATIONS:• MARTINI GLASS STRUCTURE.
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER NAMED 3 MODELS OF STORYTELLING USING VISUALIZATIONS:• MARTINI GLASS STRUCTURE.
  • VISUALIZATION AS STORYTELLING• SEGEL AND HEER NAMED 3 MODELS OF STORYTELLING USING VISUALIZATIONS:• MARTINI GLASS STRUCTURE.
  • VISUALIZATION AS STORYTELLING • DRILL-DOWN STORY
  • VISUALIZATION AS STORYTELLING • DRILL-DOWN STORY
  • VISUALIZATION AS STORYTELLING • DRILL-DOWN STORY
  • VISUALIZATION AS STORYTELLING • INTERACTIVE SLIDESHOW
  • VISUALIZATION AS STORYTELLING • INTERACTIVE SLIDESHOW
  • VISUALIZATION AS STORYTELLING • INTERACTIVE SLIDESHOW
  • VISUALIZATION AS STORYTELLING • INTERACTIVE SLIDESHOW
  • VISUALIZATION AS STORYTELLING • INTERACTIVE SLIDESHOW
  • VISUALIZATION AS STORYTELLING • INTERACTIVE SLIDESHOW
  • VISUALIZATION - BE CAREFUL• BIG DATASETS CAN RESULT IN VISUALIZATIONS THAT IS TOO COMPLICATE TO UNDERSTAND. WE HAVE TO THINK OF OUR AUDIENCE.• EXAMPLE OF BAD, BAD, BAD VISUALIZATION
  • VISUALIZATION - BE CAREFUL• BIG DATASETS CAN RESULT IN VISUALIZATIONS THAT IS TOO COMPLICATE TO UNDERSTAND. WE HAVE TO THINK OF OUR AUDIENCE. §§1501, 10106; HCERA §§1002, 1004 Your New Health Care System• §3021 EXAMPLE OF §5605 §3403, 10320 §6301 §6301 §8002 §1411 §4002 §5605 §5605 §8002 §5605 Homeland National Academy Congress Commission §1414 Security Members IRS Key §1312 §1411 CLASS Eligibility Other New of Sciences Life on Key & Personal Staff Congress Special Department Independence Assessment Grant Programs §5605 National President Independence Indicators Interest Mandate: BAD, BAD, Indicator System §1411 Advisory System 59 Provisions §§1002, 1 03 , 13 1, 132 , 0 1 2 Accounts Only Exchange 1 5 6 1 , 2 9 5 2 , 2 9 5 3 , 3 5 0 1 -6 , 3508, 4101, 4108, 4201, §5605 §§1312, 1411, 3311, 5605, 8002 §§ 3012, 3024, 3403, 4001, Council §8002 4202, 4304, 5102 , 5206, 5 2 0 8 , 5 3 0 1 -5 3 0 3 , 5 3 0 5 , Implementation 19 10323, 10333, §8002 Coverage §5605 5306, 5309 , 5313, BENEFICIARIES: 1 0 4 0 8 -1 0 , 1 0 4 1 3 , 5 3 1 5 , 5 4 0 5 , 5 5 0 7 -8 , Institute 10501, 10503 Mut ual of Omaha (NE); 8002, 10320 §8002 5604, 6703, Drug Cos; NJ Drug Cos; CLASS Treasury 10301 §§1513, 10106; HCERA §1003 AARP; Libby Mont anans; Physician-Owned Hospit als; §1312 §§1401, 1402, 1411, 1412 1414, §5605 Univ. of CT; Medigap Plans; § § 1 1 0 2 , 1 2 1, 2 0 0 6,3 1 3 7 , 3 2 1 , 3 3 0 1 , 0 0 §3403, 10320 6001, 9001, 9010, 901 , 9023, 10201, 4 State Longshoreman Healt h Plans; Independence 1 0 3 1 7 , 1 0 3 2 3, 1 0 3 2 4 1 0 5 0 2 , 1 0 6 0 1 , , 1421, 1501, 9004, 9005, Department 1 0 0 1 , 1 0 9 5 ; HCERA § § 1 1 0 1 , 1 1 3 , 9 0 0 Medicaid: HI, LA, MA, TN, VT; §8002 1106, 1203, 1406 Social Medicare: CT, FL, MI, MT, ND Protection & §8002 Personal 10105, 10901; HCERA §5605 Advocacy Fund Care Attendants §§1311, 1331, 4002, §§1401, 1402 Security Systems §8002 Workforce 8002, 10104 Office §8002 §8002 Advisory Panel Administration §8002 §8002 §8002 CLASS of Tax §1312 §1411 §8002 CLASS Independence Analysis §§1331, 10104 Program §8002 BAD VISUALIZATION §8002 Benefit Plan §3403, 10320 CLASS §8002 §§3103, 10320 §8002 §1333, 10104 §8002 Comptroller Office of §§1331, 10104 Independence §8002 §9002 General §6703 Fund Board of §6703 Personnel §8002 Trustees Community National Advisory §6703 Multi- Disciplinary §10407 §3311 MedPAC §§1313, 1322 §8002 Diabetes Management Cures Preventive Report Card Board on Elder Abuse, Neglect, Panels on Improving Long- National Other New Demonstration §2602 §2602 National Services Task National Oral Program GAO §3012 §§1334, 10104 Acceleration & Exploitation §10407 Term Care Training Institute & Pilot Programs §6301 PCORI Network Public Education Force Health Public §6703 §6703 §6703 §1331, 10104 for Federal and §§1401, 3001, 3403, 6301, §6301 Campaign on §§1201, 2 04, 27 5, 270 , 7 0 6 26 Website Review Board §4003 Education §8002 State Surveyors 2707, 3023, 3024, 3113, §6301 State 10105, 10320 PCORI Board 3140, 4204, 4206, 5304, §6301 §10409 Prevention & Health Campaign §6703 5509, 6112, 6114, 10212, 10221, Optional Vital §4003 Surveyors 10315, 10323, §1341, 10104 Promotion Statistics §§1401, 10105 10326, 10504, §4102 of Governors 10607 §1331, 10104 §4004 Basic Health §6703 §6703 §§1331, 10104 Agencies Elder §3001 Program §1302 §6301 Elder Abuse, Office of Cures §3012 §4004 §10407 §10407 Neglect, & §4102 §6301 §§1331, 10104 Justice §4004 Multi-State Acceleration CDC Exploitation §§1311, 10104 §§1311, 10104 National §1331, 10104 §10409 Forensic Centers Qualified Network Coordinating §1331, 10104 National §§1001, 4003, 4004, Diabetes Mortality PCORI §6703 §1331, 10104 §10409 4102, 10407 Health Plans PCORI Partnership on Statistics Education §1334, 10104 Prevention & Training Program Council §§9001, 10901; HCERA §1401 Methodology NIH Essential §1333, 10104 Health §10407 §4004 §§6301, 10602 §6703 §6703 Justice Committee Promotion §1334, 10104 §10409 §6703 §§4305, 6301, §6703 §4004 §1313, 10104 States Health Benefits Health §6301 10409 §4004 Department §4004 NAIC §§9004, 9005; HCERA §1402 §§1311,1331, Care Choice §6301 §6703 1333,1341, 10104, §§1333, 1341, Interagency Package 10407 10104 Compacts §§1341, 10104 §6301 §6301 Working Group §§1341, 10104 §6301 §3013 §§1311, 10104 §§1001,1201, 1301, §§1333, 10104 §§1201, 1301, 1302 §6301 on Health Care PCORI AHRQ Bronze 1302 Platinum §10407 Other New Quality §1001 §3012, 3013, 6031 §§1333, 10104 Trust Fund §6703 PCORI Bureaucracies Silver Gold Reinsurance §1001 §3012 §6301 Program §§1311, 10104 §§1311, 10104 §1411 Expert §1302 §§1412, 3 09, 51 1, 5 0 §§1201, 1301, 1302 22 10104, 10221, §4001 10334, 10413, §§1341, 10104 §4001 10501 Advisory Value-Based §4305 National US §3012 Panels §1311 Insurance Design Qualified §4305 Prevention Prevention, Black Lung §6301 & Coverage of Territories Health Promotion, Surgeon Health §3011 & Public §1323; HCERA: §1204 US Preventive Health §4002 §4004 Benefits Act §3012 General §3012 §1323; HCERA §1204 & Public Health §1323; HCERA: §1204 §1556 Health Fund Services Plans Preventive §1001 §4001 §4002 Council Labor §1001 §§1301, 1302, §4001 Services 1311, 10104 Department §1301 §1322 Prevention Task Force §4002 §3011 §§1001, 1302, 1311, 1511, 1512, §4001 Website §§1341, 10104 Secretary 1513, 6605, 10101, 10106 §4004 §1001 §§1301, 10104 CO-OP §1421, 10105 Interagency Website §§1322, 10104 Privacy Advisory §§1501, 10106; HCERA §§1002, 1004 Health “Transparency Pain Research §1311 Hours of Service §1322 Other New Advisory Coordinating Public in Government” Study Board §1001 §1411 Determination Regulatory Group on §1552 Insurance §6301 §1411 §1322, 10104 for Calculating Programs Committee §1411 Prevention, Health §6301 Employer Mandate §4305 Health Promotion, and Health & Human CO-OP §§1104, 6 02, 61 3 1 0 Penalty 4 Integrative and Service §§3403, 10320 §1411 §§1513, 10106 Public Health §§3011, 4002, 4302 §3011 §1411 Eligibility §§1322, 10104 Private Rules for Determinations Government §4302 §4001 HHS Purchasing §3011 Insurance Services §4001 Health §1411 Claims Appeals Care Quality Inspector Council Health Benefit §3011 §1001, 10101 §3011 Website §1322 General §4302 §§3011, 3012 §3011 §8002 §1313, 8002, Internet Exchanges §1321 Public National National 10104 §1313, 10104 Portal Health Quality & Health Disparities §1311 Efficiency Measures Health Strategy Health §1313, 10104 Data Collection & §3013 §§1201, 1301,1302, 1311, 1312, 1313, Medicare Development & Priorities Reporting §1561 IT Policy 1321, 1323, 1334, 1411, 1413, 10104; Program Office Committee HCERA §1204 Part A Trust §§3013, 10304 §3013 §3011 System §1561 Small Business Fund §4302 §1342 Risk §3403 Health Options §3026 §3026, 3403, Corridors Data Program §1334, 10104 IPAB §1513, 10106 6301,9015 Collection §1311 §§9001, 10901; HCERA §1401 §1342 §1311 MEWA §§3403, 10320 §1411 §3026 §1001, 10101 §2602 §3403, 10320 Medicare Health Plans Insurance §6605 §§1301, 6605 IPAB Part B Trust Mandates §§1513, 10106; HCERA: §1003 Consumer Fund §3013 §1342 Employer §1511 Federal §1334, 10104 CMS §§1001, 1101, §1342 §3026 §2602 Advisory Mandatory §1341, 10104 §§9015, 10906; HCERA §1402 17 §§1001, 10101 1201, 1251, §3011 §3026, 6301 Mandate: W2 §§3021, 10305, 10306 §§1514, 10106 §§1201, 1301 Council Loan Community- Actuary Coordinated 10101, 10103; Small Group Worker Auto- Health Repayment Market Enrollment Provide Health §§1331, 3403, 10104 Health Care §3026 Based Care §2602 HCERA §§1201, 1301, 1304 §§3403, 10320 & Forgiveness Individual Market §2301 §1301, 1304, 1342 §1511 Insurance §2703 §§1311, 1413 Programs Transitions Program Office §1201, 1301, 1304, 1342 Insurance Disclosure CMS §1511 §§5203, 5 04, 52 5, 2 0 4 5311 §§1514, 10106 §§1513, 10106; §9002 §3403, 10320 §3026 §2602 Medical Center §§1201, 1301, 1304 HCERA §1003 §1512 §3403 Device Excise Tax for Medicare §§3013, 3021, 3026, Large Group Large Employers §1513, 10106 3403, 10305, 10306, §§9009, 10904; & Medicaid §2602 Medicaid Health Insurance Market §§1304, 1511, 1512, 1513, §9002 §3021 10320 1514, 10106 HCERA Health Home §§3022, 10307 §§1201, 1301, 1511 Medicaid/ Companies Self-Insured §§9009, 10904; HCERA §1405 §1405 Innovation Medicare §§9009, 10904 §1311 §1511 Home Program §9008; HCERA §1404 Ambulatory Skilled Nursing Part C & Part D Health Plans Health Agencies Surgical Centers §§3021, 10305, Non- CHIP §2703 Insurers Mandates, Regulations, Employers §1301 §2703 Facilities 10306 Title II; §§1413, 3011 Required Benefits, & §2703 §3006 §§3006, 10301 §§3006, 10310 Hospital FFS §3311 §§9001, 10901; HCERA §1401 §§9001, 10901; HCERA §1401 §§3006, 10301 Accountable Taxes Mandates, Regulations, Value-Based §§3006, 10301 §§9010, 10905; HCERA §1406 §2703 §§1001, 1201, 1252, 1301, 1334, 1341, Medical Device §§3006, 10301 Care “Cadillac & Taxes State §1512 3311, 9001, 9010, 10101, 10104, 10901, Purchasing Small Employers §§2001-2004 Manufacturers Organizations 10905; HCERA §§1401, 1406 §§1001, 10101 Plans” Tax §§1511, 1512, 1513, 9001, 9002, Program Medicaid Individual 10106, 10901; HCERA §§1003, 1401 §§1304, 1311, 1421, 1512, §1511 §§9009, 10904; §§9001, 10901; HCERA §1405 Health Industry Demonstra- Program Medicaid 10105 HCERA §1401 Mandate: §§3001, 10335 Hospitals §§1402, 1412; HCERA §1001 tion Program §§3006, 10301 §§3001, 10335 §3001 §§3022, 10307 Expansion: Agencies Annual Fee Health Insurance §§1311, 3001, 10335 §§3001, 10335 +16 million §2701 §§9010, 10905; Subsidies: Buy Health Mandates, Regulations, Public Data §§2602, 2701, 2703, §2701 Policy Holder §§1001, 10101 §3006 §2701 HCERA §1406 §§1401, 1412, 10105; HCERA §§1001, 1004 Pharmaceutical §§3004, 3005 Disclosure §§2001-2004 3011 Out-of-Pocket §1421, 10105 Taxes, & Payment Cuts §§1001, 10101 Insurance Small §1512 System Companies Hospital CBO Cost Estimate, Expenses Large Business Medicare §2602 §2701 §§1311, 3001-3006, 3311, 9008, 9009, §3006, 3/20/10 Business §1411 §9008; HCERA §1404 §§1501, 10106; 10327, 10331, 10335, 10904; HCERA 10301 Medicare State- §§1402, 1412; Employees Value-Based §3022, 10307 Administrative §2701 HCERA §§1002, 1004 Annual Fee §§1404, 1405 Specific Adult HCERA Health Savings Health Insurance Contractors Cuts: $528.9bn §1001 §1511, 1512 §9008; HCERA Purchasing Health Quality Accounts Tax Credit §3001 §1404 §9008; HCERA §1404 §3311 (includes MA cuts) Measures Program §§1421, §1501 Medicare §§9003, 9004 §§1311 Title III Title III; §2701 10105 §2701 Hospital CBO Cost Estimate, §§3001, 10335 Title III, §2602 §§3201, 10318; HCERA §1102 Small Business §2701 Compare 3/20/10 Hospice Website Medicare Individuals Employees Programs PPS-Exempt §3001 “Excessive Misuse of 3.8% Advantage §1512 10% HCERA §1402 Profits” §3007 §3004 Cancer Hospitals HSA Funds Investment Mandates, Regulations, Cuts: $205.9bn Medicaid §§1001, 10101 §9004 Tax On §3005 Premium Income Tax & Taxes §9003 Inpatient Physician §§3201, 10318; HCERA Subsidy: Quality §§9017, 10907 Indoor Tanning HCERA §1402 §§1311, 1411, 1501, 9003-9005, 9013, Physicians §1102; CBO Cost Rehabilitation Long-Term Quality Medicare Part D Measurement Tax Credit Services: Physician §3311 Estimate, 9015, 9017, 10106, 10902, 10906, 10907; §9004 Facilities Care Hospitals Reporting Drug Program Subsidies HCERA §§1002, 1004, 1402, 1403 §§9017, §3005 §3005 Program §3005 3/20/10 Value-Based Medicare 10907 §§1311, 3002, 3003, 10327, 10331 §3004 §3004 System Hospital “Donut Hole” §2701 §§1401, 1412, 10105; Prescription Drug HCERA §§1001, §§3002, 10327, 10331 Payment Quality and MA-PD §3301; HCERA 1004 Medicare §§9015, 10906; HCERA §1402 §9013 Reporting §1101 Flexible Spending §§3002, 10327, 10331 Modifier HSA Payroll Tax Program Complaint System §3301; HCERA §1101 §§3002, 10327, 10331 §§3007 Use Restriction Increase: 0.9% Arrangement §§9010, 10905; HCERA §1406 §3004, 3005 §§3007 §3311 §3311 §§9015, 10906; Medicare §9005, 10902; HCERA §1403 §3007 §9003 Beneficiaries §3311 Only §3004 §3004 §3004 HCERA §1402 §3004 §3004 §3004 §3311 FSA §3004§3004 §3004 Medical Expenses Contribution §§9005, 10902; HCERA §1403 Limit: $2,500 §§9005, 10902; Patients Above 10% of Income (AGI) are Tax §3311 HCERA§1403 Deductible New Government Expanded Government Private New Relationships §9013 §§1401, 1412, 10105; HCERA §§1001, 1004 Government with Private Entity with Regulations/ Rationing Potential Mandates Expanded Authority/ Requirements/Mandates New Mandates/ AGI: Adjusted Gross Income HSA: Health Savings Account §§1402, 1412; HCERA §1001 Responsibility Regulations/ Reporting Requirements AHRQ: Agency for Healthcare Research and Quality IPAB: Independent Payment Advisory Board Involvement in Health Taxes & Monetary Fees/ CDC: Centers for Disease Control & Prevention IRS: Internal Revenue Service Government Financial Responsibilities Oversight CHIP: Children’s Health Insurance Program MA-PD: Medicare Advantage Prescription Drug Insurance Market Penalties/Cuts Patient Protection & Affordable Care Act, P.L. 111-148; Entity with New Inflows/ CLASS: Community Living Assistance Services & Supports MedPAC: Medicare Payment Advisory Commission Unchanged Money Flows CMS: Centers for Medicare & Medicaid Services MERD: Medical Early Risk Detection Health Care & Education Reconciliation Act, P.L. 111-152 Trust Fund Outflows Other Expansions Private Entity Consultation/Advisory/ CO-OP: Consumer Operated & Oriented Program EALORS: Executive Auxiliary Linked Office Regional Systems Prepared by: Joint Economic Committee, Republican Staff (Rationing Potential) FFS: Fee-for-Service MEWA: Multiple Employer Welfare Arrangement State/Territory with Info Sharing FSA: Flexible Spending Arrangement NAIC: National Association of Insurance Commissioners Congressman Kevin Brady, Senior House Republican Represents Bundles of Other New Trust Funds/ Expanded Authority/ Special Interest Structural Connections GAO: Government Accountability Office NIH: National Institutes of Health Senator Sam Brownback, Ranking Member Additional Entities Responsibility HCERA: Health Care & Education Reconciliation Act PCORI: Patient-Centered Outcomes Research Institute Monetary Benefits Provisions (Includes Existing) HHS: Health & Human Services Department PPS: Prospective Payment System
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