Abstract
Compilation of information is increasingly becoming more important for health organizations from financial and time aspects. By methodical study of adaptive systems, healthcare organizations can gain new insights of burdensome issues within the organization as well as healthcare delivery management. These actions have become more important with the changes in the healthcare environment in the last couple of decades where several external entities have impacts on healthcare organizations directly and/or indirectly. One of the most onerous tasks ahead of organizations is to anticipate these changes and prepare for them. Knowing the external environment can be the key to leading a successful and competitive health system. However, identifying and behaving toward all the external changes pose great time and resource challenges for organizations. Health organizations can posit the question of “what are the current external changes that have the power to affect them?” This study will take a look into emerging extrinsic changes for the US healthcare environment in different areas. A literature review will be performed in order to pinpoint the different contemporary change perspectives and their sub-criteria. In order to better illustrate these issues, Ishikawa diagram (cause-and-effect diagram) is used in this study.
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References
Gutterman, S., & Dobson, A. (1986). Impact of the Medicare prospective payment system for hospitals. Health Care Financing Review, 3(7), 97–114.
Ginter, P. M., Duncan, W. J., & Swayne, L. E. (2013). Strategic management of health care organizations. John Wiley & Sons. West Sussex, UK
Zook, C. (2007). Finding your next core business. Harvard Business Review, 85(4), 66–75.
Mallard, S. D., Leakeas, T., Duncan, W. J., Fleenor, M. E., & Sinsky, R. J. (2004). Same-day scheduling in a public health clinic: A pilot study. Journal of Public Health Management and Practice, 10(2), 148–155.
Hart, S. L., & Milstein, M. B. (2003). Creating sustainable value. The Academy of Management Executive, 17(2), 56–67.
Aydin, O. M., Shaygan, A., & Dasdemir, E. (2014). A cause and effect diagram and AHP based methodology for selection of quality improvement projects. Linz, Austria: European Network for Business and Industrial Statistics.
Barker, J. A. (1992). Future edge: Discovering the new paradigms of success. Morrow. William Morrow & Company. New York.
Perera, F. D. P. R., & Peiro, M. (2012). Strategic planning in healthcare organizations. Revista Española de Cardiología (English Edition)/Focus on: Healthcare Management (II), 65(8), v.
Ishikawa, K. (1968). Guide to quality control. Tokyo: JUSE.
Montgomery, D.C., 2009. Introduction to statistical quality control. John Wiley & Sons (New York).
Ozelm, T. M., Shaygan, A., Dasdemir, E., & Soydan, G. (2017). Selecting health care improvement projects: A methodology integrating cause-and-effect diagram and analytical hierarchy process. Quality Management in Healthcare, 26(1), 40–48.
Wong, K. (2011). Using an Ishikawa diagram as a tool to assist memory and retrieval of relevant medical cases from the medical literature. Journal of Medical Case Reports, 5(1), –120.
Hasin, M., Seeluangsawat, R., & Shareef, M. (2001). Statistical measures of customer satisfaction for health care quality assurance: A case study. International Journal of Health Care Quality Assurance, 14(1), 6–14.
(2004). Cause-and-effect analysis of risk management files to assess patient care in the emergency department. Academic Emergency Medicine, 11(10), 1035–1041.
Suchman, A. L. (2001). The influence of health care organizations on well-being. Western Journal of Medicine, 174(1), 43–47.
Casalino, L., Gillies, R. R., Shortell, S. M., et al. (2003). External incentives, information technology, and organized processes to improve health care quality for patients with chronic diseases. Journal of the American Medical Association, 289(4), 434–441.
Santilli, J., & Vogenberg, R. F. (2015). Key strategic trends that impact healthcare decision-making and stakeholder roles in the new marketplace. American Health and Drug Benefits, 8(1), 15–20.
Borrell, C., Espelt, A., Rodriguez-Sanz, M., & Navarro, V. (2007). Politics and health. Journal of Epidemiology & Community Health, 61(8), 658–659.
CMS.GOV. (2017). Bundled Payments for Care Improvement (BPCI) initiative: General information. Centers for Medicare and Medicaid Services. [Online]. Available: https://innovation.cms.gov/initiatives/bundled-payments/. Accessed 2017.
CMS.GOV. Readmissions Reduction Program (HRRP). Centers for Medicare and Medicaid Service, 18 04 2016. [Online]. Available: https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps/readmissions-reduction-program.html. Accessed 2017.
Charles, D., Gabriel, M., & Furukawa, M. F. (2014). Adoption of electronic health record systems among U.S. Non-federal Acute g U.S. Non-federal acute. The Office of National Coordinator for Health Information Technology (Report) available at: https://www.healthit.gov/sites/default/files/data-brief/2014HospitalAdoptionDataBrief.pdf.
Henry, J., Oylpchuk, Y., Searcy, T., & Patel, V. Adoption of electronic health record systems among U.S. non-federal acute care hospitals: 2008–2015, Healthit.gov, 2016.
Gest, J. How the health care landscape is evolving through internal and external pressure, Smart Business, 2012. [Online]. Available: http://www.sbnonline.com/article/how-the-health-care-landscape-is-evolving-through-internal-and-external-pressure-findleydavies/. Accessed 2017.
The World Bank. US Health expenditure, total (% of GDP) 1995–2014. The World Bank, [Online]. Available: http://data.worldbank.org/indicator/SH.XPD.TOTL.ZS?locations=US. Accessed 2017.
World Bank Group. Accountability in, https://siteresources.worldbank.org/PUBLICSECTORANDGOVERNANCE/Resources/AccountabilityGovernance.pdf
Act, Sarbanes-Oxley. Sarbanes-Oxley act of 2002. Public Law 107–204, 2002.
Venkataraman, I. M., & Watkins, M. (2008). Adoption of Sarbanes-Oxley measures. Accounting Horizons, 22(3), 255–277.
Alexander, J., et al. (2008). Governance and community benefit: Are nonprofit hospitals good candidates for Sarbanes-Oxley type reforms? Journal of Health Politics, 2, 199–224.
Epstein, M. J., & Birchard, B. (2000). Counting what counts: Turning Corporate Accountability to Competitive Advantage, Basic Books. ISBN-13: 978-0738203133.
Weiss, G. L., & Lonnquist, L. E. (2000). The sociology of health, healing, and illness. Upper Saddle River, NJ: Prentice Hall.
Conklin, T. P. (2012). Health care in the United States: An evolving system. Michigan Family Review, 7(1), 5–17.
National Health Expenditure Data, Centers for Medicare & Medicaid Services, 2016. [Online]. Available: https://www.cms.gov/research-statistics-data-and-systems/statistics-trends-and-reports/nationalhealthexpenddata/nationalhealthaccountshistorical.html. Accessed 2017.
U.S. Population, United Census Bureau, 2017. [Online]. Available: tps://www.census.gov. Accessed 2017.
Kinsella and Gist, Older workers, retirement, and pensions: A comparative international chartbook, US Department of Commerce, Economics and Statistics Administration, Bureau of the Census, 1995.
He, W., Goodkind, D., & Kowal, P. (2016). An aging world: 2015: International population reports. U.S. Department of Health and Human Services/ US dept of Commerce. https://www.census.gov/content/dam/Census/library/publications/2016/demo/p95-16-1.pdf
Bauman, N., Coe, E., Ogden, J., & Parikh, A. Study on the impact of narrow networks on exchange plans. McKinsey & Company, June 2014. [Online]. Available: http://www.e-mds.com/mckinsey-study-impact-narrow-networks-exchange-plans. Accessed May 2017.
Top Healthcare Market Trends, Access Market Intelligence, 11 Jan 2016. [Online]. Available: http://accessmarketintell.com/category/market-intelligence/. Accessed 5 May 2017.
Brown, B., & Crapo, J. The key to transitioning from fee-for-service to, Health Catalyst, 2014. http://www.healthcatalyst.com/wp-content/uploads/2014/07/Transitioning-from-Fee-for-Service-to-Value-Based-Reimbursement.pdf.
Radnor, Z. J., Holweg, M., & Waring, J. (2012). Lean in healthcare: The unfilled promise? Social Science & Medicine, 74(3), 364–371.
Stonemetz, J., Pham, C., Necochea, A. J., McGready, J., Hody, R. E., & Martinez, E. A. (2011). Reduction of regulated medical waste using lean sigma results in financial gains for hospital. Anesthesiology Clinics, 29(1), 145–152.
Ritchie, A., Marbury, D., Verdon, D. R., Mazzolini, C., & Salynn, B. Shifting reimbursement models: The risks and rewards for primary care :Value-based payment models emerge, but fee-for-service models will remain, Modern Medicine Network, 8 Apr 2014. [Online]. Available: http://medicaleconomics.modernmedicine.com/medical-economics/content/tags/aca/shifting-reimbursement-models-risks-and-rewards-primary-care?page=full. Accessed 1 May 2017.
Lauren, R. (2013). Research insights: New models to pay for health care. Academy Health. http://www.academyhealth.org/files/publications/files/FileDownloads/AH%255FRI%25202013%2520New%2520Models.pdf
Stromborg, F. M. (1991). Changing demographics in the United States: Implications for health professionals. In Changing demographics in the United States: Implications for health professionals, pp. 1772–1778.
United Census Bureau, Most children younger than age 1 are minorities. Census Bureau Reports, United Census Bureau, May 2012. [Online]. Available: https://www.census.gov/newsroom/releases/archives/population/cb12-90.html. Accessed May 2017.
Gratton, B., & Gutmann, M. (2006). Historical statistics of the United States: Millennial edition. Cambridge: University Press.
Day, J. C. Population projections of the United States, by age, sex, race, and Hispanic origin: 1992 to 2050.No. 1092, S Department of Commerce, Economics and Statistics Administration, Bureau of the Census, 1992.
Aging and the health care workforce. Washington, DC: Population Reference Bureau, 2010.
Shrestha, L. B., & Heisler, E. J. (2011). The changing demographic profile of the United States. Congressional Research Service.
Alpert, J. S., & Shapiro, E. (2012). The anatomy and physiology of the US health care system in 2050? An exercise in prognostication, fantasy, and hope. The American Journal of Medicine, 125(12), 1151–1152.
U.S. Census. (2005). Numbers from years 1920 to 2000 are based on U.S. Census figures as given by the Time Almanac of 2005, p. 377.
Bouvier, L., & Gardner, R. (1986). Immigration to the U.S.: The unfinished story. Population Bulletin, 41(4), 3–50.
Friedman, E. Who we are: Implications of the 2010 census for health care. Hospitals & Health Networks OnLine, Dec 2011. [Online]. Available: http://www.emilyfriedman.com/columns/2011-12-06-who-we-are-2.html. Accessed May 2017.
Goodman, M. (1989). Cancer incidence among Asian Americans. In Minorities and cancer (pp. 35–44). New York: Springer.
Yu, S. E. (1986). Health of the Chinese elderly in America. Research on Aging, 8(1), 84–109.
Sutherland, J. E., Avant, R. F., Franz 3rd, W. B., Monzon, C. M., & Stark, N. M. (1983). Indochinese refugee health assessment and treatment. The Journal of family practice, 16(1), 61–67.
Fronstin, P., & Elmlinger, A. Findings from the 2014 EBRI/Greenwald & Associates, EBRI.Org, 2014.
Epstein, R. M., Fiscella, K., Lesser, C. S., & Stange, K. (2010). Why the nation needs a policy push on patient-centered health care. Health Affairs, 29(8), 1489–1495.
Bechtel, C., & Ness, D. L. (2010). If you build it, will they come? Designing truly patient-centered health care. Health Affairs, 29(5), 914–920.
Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumnetal, D. (2011). The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464–471.
Furukawa, M. F., King, J., Patel, V., Hsiao, C.-J., Adler-Milstein, J., & Jha, A. K. (2014). Despite substantial progress in EHR adoption, health information exchange and patient engagement remain low in office settings. Health Affairs, 33(9), 1672–1679.
Institute of Medicine. (2001). Crossing the quality chasm: A new health system for the 21st century. Washington, DC: National Academy Press.
Beckles, G., Engelgau, M., Narayan, K., Herman, W., Aubert, R., & Williamson, D. (1998). Population-based assessment of the level of care among adults with diabetes in the US. Diabetes Care, 21, 1432–1438.
Chassin, M., & Galvin, R. (1998). The urgent need to improve health care quality: Institute of Medicine national roundtable on health care quality. The Journal of the American Medical Association, 280, 1000–1005.
Mardis, E. R. (2008). The impact of next-generation sequencing technology on genetics. Trends in Genetics, 24(3), 133–141.
Seoane-Vazquez, E., Rodriguez-Monguio, R., Szeinbach, S. L., & Visaria, J. (2008). Incentives for orphan drug research and development in the United States. Orphanet Journal of Rare Diseases, 3(1), 33.
PricewaterhouseCoopers(PWc) (2017). Top health industry issues of 2017: A year of uncertainty and opportunity, available at https://www.pwc.com/us/en/health-industries/pdf/pwc-hri-top-healthcare-issues-2017.pdf.
Lyon, E. J., Lewis, Z. H., Mayrsohn, B. G., & Rowland, J. L. (2014). Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. Journal of Medical Internet Research, 16(8) e 192, 1–15.
Nambiar, R., Bhardwaj, R., Sethi, A., & Vargheese, R. (2013). A look at challenges and opportunities of big data analytics in healthcare. IEEE International Conference on Big Data, 17–22.
Worley, C. G., & Mohrman, S. A. (2014). Is change management obsolete? Organizational Dynamics, 43(3), 214–224.
Kayyali, B., Knott, D., & Steve, V. K. (2013). The big-data revolution in US health care: Accelerating value and innovation. Mc Kinsey & Company. Mc Kinsey & Company. Available at: https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/the-big-datarevolution-in-us-health-care
Barham, H. (2017). Achieving competitive advantage through big data. Portland, Oregon: PICMET.
Kyongyoung, J., & Gang-Hoon, K. (2013). Potentiality of big data in the medical sector: Focus on how to reshape the healthcare system. Healthcare informatics research, 19(2), 79–85.
CVS Health Opens Digital Innovation Lab in Boston, CVSHealth, 18 June 2015. [Online]. Available: https://www.cvshealth.com/newsroom/press-releases/cvs-health-opens-digital-innovation-lab-boston. Accessed May 2017.
healthit.gov, Meaningful use definition & objectives, Health information technology (health IT), Feb 2015. [Online]. Available: https://www.healthit.gov/providers-professionals/meaningful-use-definition-objectives. Accessed May 2017.
Price waterhouse Coopers, (2017). Medical cost trend: Behind the numbers 2018 (Report), available at https://www.pwc.com/us/en/health-industries/health-research-institute/behind-the-numbers/reports/hri-behind-the-numbers-2018.pdf.
Falit, B. P., Singh, S. C., & Brennan, T. A. (2015). Biosimilar competition in the United States: Statutory incentives, payers, and pharmacy benefit managers. Health Affairs, 34(2), 294–301.
Kumar, K. R. (2011). Technology and healthcare costs. Annual Pediatric Cardiology, 4(1), 84–86.
The Moran Company. (2013). Cost differences in cancer care across settings (Report). Available at: http://www.communityoncology.org/UserFiles/Moran_Cost_Site_Differences_Study_P2.pdf
2015 Drug trend: Tackling rising drug costs. CVSHealth, 2015.
Piccart-Gebhart, M. J. (2013). The 41st David A. Karnofsky memorial award lecture: Academic research worldwide—quo vadis? Journal of Clinical Oncology, 4(32), 347–354.
DNA sequencing costs: Data from the NHGRI Genome Sequencing Program (GSP). National Human Genome Research Institute, NIH, 2016.
Weisbord, B. A. (1991). The health care quadrilemma: An essay on technological change, insurance, quality of care, and cost containment. Journal of Economic Literature, 29(2), 523–552.
Vance, K., Howe, W., & Dellavalle, R. P. (2009). Social internet sites as a source of public health information. Dermatologic Clinics, 27(2), 133–136.
Van de Belt, T. H., Berben, S. A., Samsom, M., Engelen, L. J., & Schoonhoven, L. (2012). Use of social media by Western European hospitals: Longitudinal study. Journal of Medical Internet Research, 14(3).
Chou, W.-Y. S., Hunt, Y. M., Beckjor, E. B., Moser, R. P., & Hesse, B. W. (2009). Social media use in the United States: Implications for health communication. Journal of Medical Internet Research, 11(4).
Bosslet, G. T., Torke, A. M., & Hickman, S. E. (2011). The patient–doctor relationship and online social networks: Results of a national survey. Journal of General Internal Medicine, 26(10), 1168–1174.
von Muhlen, M., & Ohno-Machado, L. (2012). Reviewing social media use by clinicians. Journal of the American Medical Informatics Association, 19(5), 777–781.
Antheunis, M. L., Tates, K., & Nieboer, T. E. (2013). Patients’ and health professionals’ use of social media in health care: Patients’ and health professionals’ use of social media in health care. Patient Education and Counseling, 92, 426–431.
Hawn, C. (2009). Take two aspirin and tweet me in the morning: How twitter, facebook, and other social media are reshaping health care. Health Affairs, 28(2), 361–368.
Baker, L. Competition keeps health-care costs low, researchers find. Stanford Medicine, 21 Oct 2014. [Online]. Available: https://med.stanford.edu/news/all-news/2014/10/competition-keeps-health-care-costs-low--researchers-find.html. Accessed May 2017.
Dranove, D., & Lindrooth, R. (2003). Hospital consolidation and costs: Another look at the evidence. Journal of Health Economics, 22(6), 983–997.
Olsen, L., Saunders, R. S., & Yong, P. L. (2010). The healthcare imperative: Lowering costs and improving outcomes: Workshop series summary. National Academies Press, Washington DC.
Evans, M. (2014). Consolidation creating giant hospital systems. Modern Healthcare. [Online]. Available: http://www.modernhealthcare.com/article/20140621/MAGAZINE/306219980. Accessed 2017.
Meredith, E. B. (2015). The health care services acquisition report (21st ed.). Norwalk, CT: Irving Legin Associates.
Wirtz, R. A. (2015). Health care consolidation: Which way is up, and why are we going there? Minneapolis: Fed Gazette Regional Business & Economics Newspaper.
Cutler, D. M., & Morton, F. S. (2013). Hospitals, market share, and consolidation. JAMA:Clinical Review & Education, 310(18), 1964–1970.
Casalino, L. P., Pham, H., & Bazzoli, G. (2004). Growth of single-specialty medical groups. Health Affairs, 23(2), 82–90.
Casalino, L. P., Devers, K. J., & Brewster, L. R. (2003). Focused factories? Physician owned specialty facilities. Health Affairs, 22(6), 56–67.
Gaynor, M., & Haas-Wilson, D. (1998). Change, consolidation, and competition in health care markets, NBER Working Paper No. 6701.
Memorial hermann health system and blue cross and blue shield of Texas announce contract agreement, Memorial Hermann, 28 June 2013. [Online]. Available: http://www.memorialhermann.org/news/memorial-hermann-health-system-and-blue-cross-and-blue-shield-of-texas-announce-contract-agreement/. Accessed May 2017.
Memorial Hermann and Aetna. Advancing health and health care in Houston, Memorial Hermann, [Online]. Available: http://www.memorialhermann.org/aetna/
Study on the impact of narrow networks on exchange plans: MDe insights june 18, 2014, McKinsey, www.mdeverywhere.com/mckinsey-study-on-the-impact-of-narrow-networks-on-exchange-plans, 2015.
Acquisition and affiliation strategies: An HFMA value project report. Healthcare Financial Management Association, 2014.
Berenson, R. A., Pronovost, P. J., & Krumholz, H. M. (2013). Achieving the potential of health care performance measures. (Report) Robert Wood Johnson Foundation: Urban Institute.
Grol, R., & Wensing, M. (2004). What drives change? Barriers to and incentives for achieving evidence-based practice. Medical Journal of Australia, 180(6), S57.
Bonow, R. O., Masoudi, F. A., Rumsfeld, J. S., DeLong, E., et al. (2008). ACC/AHA Classification of care metrics: Performance measures and quality metrics. Circulation, 118(24), 2662–2666.
Ozcan, Y. A. (2005). Quantitative methods in health care management: techniques and applications (Vol. 4). John Wiley & Sons, San Francisco.
Linderman, K., Schroeder, E., Zaheer, S., & Choo, A. S. (2003). Six sigma: A goal-theoretic perspective. Journal of Operations Management, 21(2), 193–203.
Young Hoon, K., & Anbari, F. T. (2006). Benefits, obstacles, and future of six sigma approach. Technovation, 26(5), 708–715.
Montgomery, D. c., & Woodall, W. H. (2008). An overview of six sigma. International Statistical Review, 76(3), 329–346.
Porter, M., & Teisberg, E. (2004). Redefining competition in healthcare. Harvard Business Review, 82(6), 65–76.
Enthoven, A. C., & Tollen, L. A. (2005). Competition in health care: It takes systems to pursue quality and efficiency. Health Affairs, 24, W5.
Rivers, P. A., & Glover, S. H. (2008). Health care competition, strategic mission, and patient satisfaction: Research model and propositions. Journal of Health Organization and Management, 22(6), 627–641.
Zwanziger, J., & Menick, G. A. (1996). Can managed care plans control health care costs. Health Affairs, 15(2), 189–199.
Popper, C., Burgess, S., & Green, K. (2004). Does competition between hospitals improve the quality of care?: Hospital death rates and the NHS internal market. Journal of Public Economics, 88(7–8), 1247–1272.
Kessler, D. P., & Geppert, J. J. (2005). The effects of competition on variation in the quality and cost of medical care. Journal of Economics and Management Strategy, 14(3), 575–589.
Gowrisankaran, G., & Town, R. J. (2003). Competition, payers, and hospital quality. Health Services Research, 38, 1403–1422.
Sutcliffe, K. M., & Weber, K. (2003). The high cost of accurate knowledge. Harvard Business Review, 5(81), 74–82.
Pisek, P. E., & Wilson, T. (2001). Complexity, leadership, and management in healthcare organisations. BMJ: British Medical Journal, 323(7315), 746.
Ducker, P. F. (2004). Managing the non-profit organization: Practices and principles. Taylor & Francis. New York.
Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350.
Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10/11), 1105–1121.
Papageorgiou, E. I., & Stylios, C. D. (2008). Fuzzy cognitive maps. In Handbook of granular computing (pp. 755–774). Publisher: John Wiley & Sons, Ltd.
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Shaygan, A. (2018). Landscape Analysis: What Are the Forefronts of Change in the US Hospitals?. In: Daim, T., Chan, L., Estep, J. (eds) Infrastructure and Technology Management. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-319-68987-6_6
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