Special or Theme Issue

Health IT and Clinical Decision Support Systems.

Ohno-Machado L; Beeler PE; Eschmann E; Schumacher A; Studt JD; Amann-Vesti B; Blaser J; Bian J; Xie M; Hogan W; Hutchins L; Topaloglu U; Lane C; Holland J; Wells T; Cheng F; Zhao Z; Chida K; Morohashi G; Fuji H; Magata F; Fujimura A; Hamada K; Ikarashi D; Yamamoto R; Cresswell KM; Bates DW; Williams R; Morrison Z; Slee A; Coleman J; Robertson A; Sheikh A; Everson J; Lee SY; Friedman CP; Flamand C; Fabregue M; Bringay S; Ardillon V; Quénel P; Desenclos JC; Teisseire M; Goossen W; Langford LH; Griffon N; Kerdelhué G; Hamek S; Hassler S; Boog C; Lamy JB; Duclos C; Venot A; Darmoni SJ; Gupta A; Ip IK; Raja AS; Andruchow JE; Sodickson A; Khorasani R; Jiang X; Cai B; Xue D; Lu X; Cooper GF; Neapolitan RE; Kannampallil TG; Jones LK; Patel VL; Buchman TG; Franklin A; Mishuris RG; Linder JA; Mougin F; Grabar N; Perrier L; Kealey MR; Straus SE; Phansalkar S; Zachariah M; Seidling HM; Mendes C; Volk L; Rogith D; Yusuf RA; Hovick SR; Peterson SK; Burton-Chase AM; Li Y; Meric-Bernstam F.

A universal agreement on how to calculate the return on investment for health information technology (IT) and computerized decision support systems still needs to be established. Articles in this special issue cover research exploring evaluation models, effects of medication alerts, and usability as potential components of determining the value of health IT.