The Holy grail of healthcare analytics: what it takes to get there?. Issue 4 (25th January 2022)

• Record Type: Journal Article
• Authors: R Gowda, Naveen; Satpathy, Sidhartha; Singh, Angel Rajan; Behera, S D
• Is Part Of: BMJ leader. Volume 6:Issue 4(2022)
• Page Start: 286
• Page End: 294
• Publication Date: 2022-01-25
• Subjects: data -- improvement -- information -- learning organisation -- operating system; Medical personnel -- Periodicals; Leadership -- Periodicals; Medicine -- Practice -- Management -- Periodicals; Health services administration -- Periodicals; 610.68
• DOI: 10.1136/leader-2021-000527
• Languages: English
• ISSNs: 2398-631X

Abstract

Abstract : Background: Indian healthcare is rapidly growing and needs efficiency more than ever, which can be achieved by leveraging healthcare analytics. National Digital Health Mission has set the stage for digital health and getting the right direction from the very beginning is important. The current study was, therefore, undertaken to find what it takes for an apex tertiary care teaching hospital to leverage healthcare analytics. Aim: To study the existing Hospital Information System (HIS) at AIIMS, New Delhi and assess the preparedness to leverage healthcare analytics. Methodology: A three-pronged approach was used. First, concurrent review and detailed mapping of all running applications was done based on nine parameters by a multidisciplinary team of experts. Second, capability of the current HIS to measure specific management related KPIs was evaluated. Third, user perspective was obtained from 750 participants from all cadres of healthcare workers, using a validated questionnaire based on Delone and McLean model. Results: Interoperability issues between applications running within the same institute, impaired informational continuity with limited device interface and automation were found on concurrent review. HIS was capturing data to measure only 9 out of 33 management KPIs. User perspective on information quality was very poor which was found to be due to poor system quality of HIS, though some functions were reportedly well supported by the HIS. Conclusion: It is important for hospitals to first evaluate and strengthen their data generation systems/HIS. The three-pronged approach used in this study provides a template for other hospitals.