Capture, consumption and use of person-centred information presents challenges for hospitals when operating within the scope of limited resources and the push for organisational routines and efficiencies. This paper explores these challenges for patients with Acute Coronary Syndrome (ACS) and the examination of information that supports successful hospital discharge. It aims to determine how the likelihood of readmission may be prevented through the capturing of rich, person-specific information during in-patient care to improve the process for discharge to home.
The authors combine four research data collection and analysis techniques: one, an analysis of the patient record; two, semi-structured longitudinal interviews; three, an analysis of the patient's journey using process mining to provide analytics about the discharge process, and four, a focus group with nurses to validate and confirm our findings.
The authors’ contribution is to show that information systems which support discharge need to consider models focused on individual patient stressors. The authors find that current discharge information capture does not provide the required person-centred information to support a successful discharge. Data indicate that rich, detailed information about the person acquired through additional nursing assessments are required to complement data provided about the patient's journey in order to support the patients’ post-discharge recovery at home.
Prior research has focused on information collection constrained by pre-determined limitations and barriers of system design. This work has not considered the information provided by multiple sources during the whole patient journey as a mechanism to reshape the discharge process to become more person-centred. Using a novel combination of research techniques and theory, the authors have shown that patient information collected through multiple channels across the patient care journey may significantly extend the quality of patient care beyond hospital discharge. Although not assessed in this study, rich, person-centred discharge information may also decrease the likelihood of patient readmission.
The authors would like to acknowledge the support of the cardiac research team and cardiac ward staff at Eastern Health, Victoria in the completion of this research.
Taylor, N.J., Lederman, R., Bosua, R. and La Rosa, M. (2021), "Capturing rich person-centred discharge information: exploring the challenges in developing a new model", Information Technology & People, Vol. 34 No. 6, pp. 1664-1693. https://doi.org/10.1108/ITP-09-2020-0630
Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited