How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review

Abstract

Background Multiple attempts aimed at highlighting the relationship between big data analytics and benefits for healthcare organizations have been raised in the literature. The big data impact on health organization management is still not clear due to the relationship’s multi-disciplinary nature. This study aims to answer three research questions: a) What is the state of art of big data analytics adopted by healthcare organizations? b) What about the benefits for both health managers and healthcare organizations? c) What about future directions on big data analytics research in healthcare? Methods Through a systematic literature review the impact of big data analytics on healthcare management has been examined. The study aims to map extant literature and present a framework for future scholars to further build on, and executives to be guided by. Results The positive relationship between big data analytics and healthcare organization management has emerged. To find out common elements in the studies reviewed, 16 studies have been selected and clustered into 4 research areas: 1) Potentialities of big data analytics. 2) Resource management. 3) Big data analytics and management of health surveillance systems. 4) Big data analytics and technology for healthcare organization. Conclusions In conclusion is identified how the big data analytics solutions are considered a milestone for managerial studies applied to healthcare organizations, although scientific research needs to investigate standardization and integration of the devices as well as the protocol in data analysis to improve the performance of the healthcare organization.

Assessing Digital Transformation of Cost Accounting Tools in Healthcare

“…The digitization of cost accounting in the healthcare industry supposes the automation of the accounting processes to facilitate the accomplishment of routine tasks and access to information in real-time on costs [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 82 , 83 ]. In line with the findings of other authors [ 81 , 82 , 83 , 84 ], the paper on the H2 hypothesis revealed the characteristics of the digital technologies implemented in traditional and innovative CAT appreciated by the respondents.…”

“…BD technology offers several significant advantages for costing tools, particularly in the healthcare industry, given the disadvantages related to the large amounts of information and the complexity of the data collected. In addition to traditional information in a quantifiable form, BD can enhance information using data, images, audio data, and data generated by IoT sensors, including patients [ 6 , 15 , 17 ]. These data are in addition to existing records, providing an opportunity to improve AM practices.…”

“…New technologies make it possible to process and interpret large amounts of data in real time, strengthening transparency and generating increased confidence. Various researchers [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ] show that IoT, BD, AI, and CC used in healthcare improved planning, decision-making, and treatment with a reduced time and cost. IoT ensures decision-making in time [ 10 , 11 , 12 , 13 , 14 , 18 ], based on the collection and processing of BD [ 9 , 15 , 17 ], shared with CC technology [ 10 , 16 ].…”

“…Various researchers [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ] show that IoT, BD, AI, and CC used in healthcare improved planning, decision-making, and treatment with a reduced time and cost. IoT ensures decision-making in time [ 10 , 11 , 12 , 13 , 14 , 18 ], based on the collection and processing of BD [ 9 , 15 , 17 ], shared with CC technology [ 10 , 16 ]. AI solves routing, traffic engineering, resource allocation, and security [ 10 , 15 ].…”

“…AI solves routing, traffic engineering, resource allocation, and security [ 10 , 15 ]. Combined, new digital technologies could enhance effective healthcare delivery [ 10 , 15 , 17 ]. New technologies are helpful throughout the AM process, from data collection to final decision-making.…”