Population Health Applying Health IT to Improve Population

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Population Health Applying Health IT to Improve Population Health at the Community Level Lecture

Population Health Applying Health IT to Improve Population Health at the Community Level Lecture a This material (Comp 21 Unit 2) was developed by Johns Hopkins University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number 90 WT 0005. This work is licensed under the Creative Commons Attribution-Non. Commercial-Share. Alike 4. 0 International License. To view a copy of this license, visit http: //creativecommons. org/licenses/by-nc-sa/4. 0/.

Applying Health IT to Improve Population Health at the Community Level Learning Objectives —

Applying Health IT to Improve Population Health at the Community Level Learning Objectives — Lecture a • Describe the frameworks relevant to the concept of population health at the community level. • Examine other types of factors, such as social factors and nonmedical factors, and discuss how they impact health and wellness. 2

Determinants of Health 2. 01 Chart: Adapted by Jonathan Weiner and Center for Teaching

Determinants of Health 2. 01 Chart: Adapted by Jonathan Weiner and Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University (2016). 3

Determinants of Population Health Source: University of Wisconsin Population Health Institute, Robert Wood Johnson

Determinants of Population Health Source: University of Wisconsin Population Health Institute, Robert Wood Johnson Foundation, Burness. (2016). Retrieved April 20, 2016, from http: //www. countyhealthrankings. org/our-approach 2. 02 Graph: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 4

An Ecological Framework for Population Health — 1 Source: Johns Hopkins University Center for

An Ecological Framework for Population Health — 1 Source: Johns Hopkins University Center for Population Health Information Technology. 2. 03 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 5

An Ecological Framework for Population Health — 2 Source: Johns Hopkins University Center for

An Ecological Framework for Population Health — 2 Source: Johns Hopkins University Center for Population Health Information Technology. 2. 04 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 6

An Ecological Framework for Population Health — 3 Source: Johns Hopkins University Center for

An Ecological Framework for Population Health — 3 Source: Johns Hopkins University Center for Population Health Information Technology. 2. 05 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 7

An Ecological Framework for Population Health — 4 Source: Johns Hopkins University Center for

An Ecological Framework for Population Health — 4 Source: Johns Hopkins University Center for Population Health Information Technology. 2. 06 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 8

An Ecological Framework for Population Health — 5 Source: Johns Hopkins University Center for

An Ecological Framework for Population Health — 5 Source: Johns Hopkins University Center for Population Health Information Technology. 2. 07 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 9

Unified Framework of Disease Management, Population Health, and Prevention Source: Johns Hopkins University Center

Unified Framework of Disease Management, Population Health, and Prevention Source: Johns Hopkins University Center for Population Health Information Technology. 2. 08 Figure: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 10

Implications for Community Health Measurement and Management 2. 09 Figure: Adapted by Jonathan Weiner

Implications for Community Health Measurement and Management 2. 09 Figure: Adapted by Jonathan Weiner and Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). 11

Linking Medical Care Delivery and Public Health Systems at the Community Level 2. 10

Linking Medical Care Delivery and Public Health Systems at the Community Level 2. 10 Figure: © CPHA. 12

Applying Health IT to Improve Population Health at the Community Level Summary — Lecture

Applying Health IT to Improve Population Health at the Community Level Summary — Lecture a • Determinants of health, including biological factors, the physical environment, socioeconomic environment, and human behavior. • C-P-H-I-T’s Ecological Framework for Population Health • A unified framework concerning disease management or chronic care population management. • Differences between clinical informatics and public health informatics and population health informatics. • Efforts to link medical care and public health at the community level. 13

Applying Health IT to Improve Population Health at the Community Level References — Lecture

Applying Health IT to Improve Population Health at the Community Level References — Lecture a — 1 References Friedman, D. J. , & Parrish, R. G. II. (2010, August). The population health record: Concepts, definition, design, and implementation. Journal of the American Medical Informatics Association, 1(7), 359– 66. http: //www. ncbi. nlm. nih. gov/pubmed/20595299 Hunt, J. S. , Gibson, R. F. , Whittington, J. , Powell, K. , Wozney, B. , & Knudson, S. (2015). Guide for developing an information technology investment road map for population health management. . Population Health Management, 18(3), 159– 171. Kharrazi, H. , & Weiner, J. P. (2014, October 30). IT-enabled community health interventions: Challenges, opportunities, and future directions. e. GEMs, 2(3), 1117. This overview article links to 14 other articles in this special edition of this online journal. http: //www. ncbi. nlm. nih. gov/pubmed/25848627 Kindig, D. A. (2007, March). Understanding population health terminology. Milbank Quarterly, 85(1), 139– 161. http: //www. ncbi. nlm. nih. gov/pubmed/17319809 14

Applying Health IT to Improve Population Health at the Community Level References — Lecture

Applying Health IT to Improve Population Health at the Community Level References — Lecture a — 2 Charts, Tables, Figures 2. 01 Chart: Jonathan Weiner and Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). Determinants of Health. Adapted from U. S. Department of Health and Human Services, Office of Disease Prevention and Health Promotion. (2000). Healthy people 2010: Understanding and improving health. (2 nd ed. ). Washington, DC: U. S. Government Printing Office. Retrieved April 18, 2016, from http: //www. healthypeople. gov/2010/Document/pdf/uih/2010 uih. pdf 2. 02 Graph: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Pie chart representing determinants of population health]. 2. 03 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Model of ecological framework for population health]. 2. 04 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Model of ecological framework for population health highlighting key determinants]. 15

Applying Health IT to Improve Population Health at the Community Level References — Lecture

Applying Health IT to Improve Population Health at the Community Level References — Lecture a — 3 Charts, Tables, Figures 2. 05 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Model of ecological framework for population health highlighting determinants not amenable to intervention]. 2. 06 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Model of ecological framework for population health highlighting levels of intervention]. 2. 07 Chart: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Model of ecological framework for population health highlighting health & wellness of population]. 2. 08 Figure: Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Model of unified framework of disease management, population health, and prevention]. 2. 09 Figure: Jonathan Weiner and Center for Teaching and Learning, Bloomberg School of Public Health, Johns Hopkins University. (2016). [Model representing the relationships between clinical informatics, public health informatics, and population health informatics]. Adapted from Kharrazi et al. (2016). Johns Hopkins Center for Population Health IT (CPHIT). 16

Applying Health IT to Improve Population Health at the Community Level References — Lecture

Applying Health IT to Improve Population Health at the Community Level References — Lecture a — 4 Charts, Tables, Figures 2. 10 Figure: Critical Success Factors for Comprehensive Chronic Disease Prevention and Management Strategies. Adapted from the Capital District Health Authority & IWK Health Centre Model. Chronic Disease Prevention and Management. Retrieved March 28, 2016, from http: //www. cpha. ca/en/programs/portals/cd. aspx 17

Population Health Applying Health IT to Improve Population Health at the Community Level —

Population Health Applying Health IT to Improve Population Health at the Community Level — Lecture a This material (Comp 21 Unit 2) was developed by Johns Hopkins University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number 90 WT 0005. 18