DHA-7007 V2

Ashley, W. C., & Morrison, J. L. (1997). Anticipatory management: Tools for better decision making. The Futurist, 31(5), 47-50.
This article provides the basis for improving decision-making skills through the recognition of indicators and trends, and using forecasting to implement strategies before issues take a dire turn within organizations.   

Casselman, J., Onopa, N., & Khansa, L. (2017, November). Wearable healthcare: Lessons from the past and a peek into the future. Telematics and Informatics, 34(7), 1011-1023.
In this article, Casselman et al. conducted a SWOT analysis of wearable technology and the implications on accuracy of the data and security of the wearer’s personal health information.

Centers for Medicare and Medicaid Services. (2018, April 24). Fiscal year (FY) 2019 medicare hospital inpatient prospective payment system (IPPS) and long term acute care hospital (LTCH) prospective payment system proposed rule, and request for information.
The CMS is authorized under the U.S. Department of Health and Human Services to regulate healthcare reimbursement payments for patients subscribed to these programs as governed by healthcare policy law.

Vogenberg, R., & Santilli, J. (2018). Healthcare trends for 2018. American Health & Drug Benefits, 11(1), 48-54.
Without the repeal of the Patient Protection and Affordable Care Act (ACA) in 2018, Vogenberg and Santilli reviewed the trends in healthcare delivery between 2018 and 2020.

Wu, J., Li, H., Cheng, S., & Lin, Z. (2016, December). The promising future of healthcare services: When big data analytics meets wearable technology. Information & Management, 53(8), 1020-1033.
In their article, Wu et al. examine the models of an expanding healthcare technology trend and a comparison of organizations which have adopted wearable technology to collect data and non-adopters.