Health information systems adoption: findings from a systematic review

Earlier evaluation studies on Health Information Systems (HIS) adoption have highlighted a large number of adoption problems that were attributed to the lack of fit between technology, human and organisation factors. Lessons can be learned from these evaluation studies by identifying the most important factors of HIS adoption. In order to study the adoption issue, a qualitative systematic review has been performed using a recently introduced framework, known as HOT-fit (Human, Organisation and Technology fit). The paper identifies and highlights the following critical adoption factors: technology (ease of use, system usefulness, system flexibility, time efficiency, information accessibility and relevancy); human (user training, user perception, user roles, user skills, clarity of system purpose, user involvement); organisation (leadership and support, clinical process, user involvement, internal communication, inter organisational system, as well as the fit between them. The findings can be used to guide future system development and inform relevant decision making.

Similar articles

Yusof MM. Yusof MM. Int J Med Inform. 2015 Jul;84(7):486-99. doi: 10.1016/j.ijmedinf.2015.03.001. Epub 2015 Mar 18. Int J Med Inform. 2015. PMID: 25881560

Ammenwerth E, Iller C, Mahler C. Ammenwerth E, et al. BMC Med Inform Decis Mak. 2006 Jan 9;6:3. doi: 10.1186/1472-6947-6-3. BMC Med Inform Decis Mak. 2006. PMID: 16401336 Free PMC article.

Ingebrigtsen T, Georgiou A, Clay-Williams R, Magrabi F, Hordern A, Prgomet M, Li J, Westbrook J, Braithwaite J. Ingebrigtsen T, et al. Int J Med Inform. 2014 Jun;83(6):393-405. doi: 10.1016/j.ijmedinf.2014.02.005. Epub 2014 Mar 3. Int J Med Inform. 2014. PMID: 24656180 Review.

Yusof MM, Kuljis J, Papazafeiropoulou A, Stergioulas LK. Yusof MM, et al. Int J Med Inform. 2008 Jun;77(6):386-98. doi: 10.1016/j.ijmedinf.2007.08.011. Epub 2007 Oct 26. Int J Med Inform. 2008. PMID: 17964851

Hilz LM. Hilz LM. Comput Nurs. 2000 Nov-Dec;18(6):272-8; quiz 279-81. Comput Nurs. 2000. PMID: 11105401 Review.

Cited by

Saxild S, Wilson P, de Voss S, Overbeck G. Saxild S, et al. BMC Pregnancy Childbirth. 2023 May 10;23(1):336. doi: 10.1186/s12884-023-05671-w. BMC Pregnancy Childbirth. 2023. PMID: 37165318 Free PMC article.

van Bussel MJP, Odekerken-Schröder GJ, Ou C, Swart RR, Jacobs MJG. van Bussel MJP, et al. BMC Health Serv Res. 2022 Jul 9;22(1):890. doi: 10.1186/s12913-022-08189-7. BMC Health Serv Res. 2022. PMID: 35804356 Free PMC article.

Uribe Guajardo MG, Baillie A, Louie E, Giannopoulos V, Wood K, Riordan B, Haber P, Morley K. Uribe Guajardo MG, et al. J Multimorb Comorb. 2022 Apr 23;12:26335565221096977. doi: 10.1177/26335565221096977. eCollection 2022. J Multimorb Comorb. 2022. PMID: 35586033 Free PMC article.

Cho H, Keenan G, Madandola OO, Dos Santos FC, Macieira TGR, Bjarnadottir RI, Priola KJB, Dunn Lopez K. Cho H, et al. JMIR Hum Factors. 2022 May 10;9(2):e31758. doi: 10.2196/31758. JMIR Hum Factors. 2022. PMID: 35536613 Free PMC article.

Woodcock E. Woodcock E. Perspect Health Inf Manag. 2022 Jan 1;19(1):1m. eCollection 2022 Winter. Perspect Health Inf Manag. 2022. PMID: 35440921 Free PMC article.