Patient value in hospital care has become increasingly important over the last decade. This paper argues that patient value could be ameliorated by investing in patient agility. Patient agility constitutes the capabilities that enable hospitals to sense the health service needs of their patients and respond to the changing health service demands of these patients. This paper further posits that hospitals’ current sensing and responding capabilities are inherently reactive as they detect, act upon and pursue occurrences and patterns in the needs and demands of patients after these have already manifested themselves. Hence, we assert that this reactive nature thwarts hospitals in preventing negative trends or capitalizing on positive trends n...
Over the years, health area has received numerous studies on how to improve its management and admin...
Problem definition: Translate data from electronic health records (EHR) into accurate predictions o...
Applying predictive analytics on large datasets to predict future behaviour is common in finance and...
Hospitals are currently exploring digital options to transform their clinical procedures and their o...
Healthcare predictive systems are analytic systems which aim to minimize the future medical cost and...
The willingness to intervene is the golden key to harnessing the power of historical and real-time d...
Healthcare services quality provided by Hospital are impacted by the number of patients visit to t...
There is still a limited understanding of the necessary skill, talent, and expertise to manage digit...
An empirical link between organizational performance and the IT necessary to enable data analytics c...
Modern hospitals are on the brink of a monumental change. They are currently exploring their options...
Despite a wealth of attention for information technology (IT)-enabled transformation in healthcare r...
Modern hospitals are on the brink of a monumental change. They are currently exploring their options...
The United States (U.S.) healthcare system is the most expensive in the world. To improve the qualit...
The volume, velocity and variety of data is continuously rising. While many industry sectors are alr...
There is a limited understanding of IT’s role as a crucial enabler of patient agility and the depart...
Over the years, health area has received numerous studies on how to improve its management and admin...
Problem definition: Translate data from electronic health records (EHR) into accurate predictions o...
Applying predictive analytics on large datasets to predict future behaviour is common in finance and...
Hospitals are currently exploring digital options to transform their clinical procedures and their o...
Healthcare predictive systems are analytic systems which aim to minimize the future medical cost and...
The willingness to intervene is the golden key to harnessing the power of historical and real-time d...
Healthcare services quality provided by Hospital are impacted by the number of patients visit to t...
There is still a limited understanding of the necessary skill, talent, and expertise to manage digit...
An empirical link between organizational performance and the IT necessary to enable data analytics c...
Modern hospitals are on the brink of a monumental change. They are currently exploring their options...
Despite a wealth of attention for information technology (IT)-enabled transformation in healthcare r...
Modern hospitals are on the brink of a monumental change. They are currently exploring their options...
The United States (U.S.) healthcare system is the most expensive in the world. To improve the qualit...
The volume, velocity and variety of data is continuously rising. While many industry sectors are alr...
There is a limited understanding of IT’s role as a crucial enabler of patient agility and the depart...
Over the years, health area has received numerous studies on how to improve its management and admin...
Problem definition: Translate data from electronic health records (EHR) into accurate predictions o...
Applying predictive analytics on large datasets to predict future behaviour is common in finance and...