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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.
- data
- improvement
- information
- learning organisation
- operating system
Data availability statement
All data relevant to the study are included in the article or uploaded as online supplemental information. All relevant data are part of the manuscript and in online supplemental material. They are being shared.
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Data availability statement
All data relevant to the study are included in the article or uploaded as online supplemental information. All relevant data are part of the manuscript and in online supplemental material. They are being shared.
Footnotes
Twitter @DrNaveenRGowda1
Contributors The study was conceptualised by SS, ARS and SDB. They were instrumental in designing the study methodology. NRG collected, compiled and analysed the data. Data interpretation was done by all authors. Manuscript draft was prepared by NRG which was reviewed and approved by other authors. NRG is the guarantor for the overall content of the article.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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