Summary
Disease management strategies, which seek to integrate care around the needs of various stakeholders — providers, drug and device makers, physicians, patients, managed care organisations and employers — have the potential to markedly change how healthcare services are delivered. To support this transition, information technologies are needed to facilitate the collection, integration, analysis, real-time presentation and secure storage of clinical data.
This article reviews the needs of the various stakeholders in disease management and links these needs to healthcare delivery information technologies, both currently existing and planned. It summarises the status of the core information technologies that support healthcare delivery and disease management. The article focuses on the principles of evaluating the costs and benefits of information technology with respect to the business plan for the clinical organisation and of successfully implementing information technology in the healthcare setting.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Tan JT, Hanna J. Integrating health care with information technology: knitting patient information through networking. Health Care Manage Rev 1994; Spring: 72–80
Andrew WF, Dick RS. Applied information technology: a clinical perspective feature focus: the computer-based patient record (Pt 2). Comput Nurs 1995; 80–4
Branger PJ, van der Wouden JC, Schudel BR, et al. Electronic communication between providers of primary and secondary care. BMJ 1992 Oct; 305: 1068–70
Braly D. Enterprise-side scheduling: do you need it? Health Manage Technol 1996; 17(6): 32
Wyatt CJ. Clinical data systems. Part 1: data and medical records. Lancet 1994 Dec; 344: 1543–7
Wyatt CJ. Clinical data systems. Part 3: development and evaluation. Lancet 1994 Dec; 344: 1682–8
Edelson JT. Physician use of information technology in ambulatory medicine: an overview. J Ambul Care Manage 1995 Jul: 9–17
Appleby C. The trouble with CHINs. Hosp Health Networks 1995 May; 69(9): 42–4
Work M, Pawola L. CHINs, IHD systems remain in evolutionary state. Health Manage Technol 1996 Mar; 17(3): 54–8
Kennedy OG, Heda S. Clinical information systems: 25-year history and future. J Soc Health Syst 1992; 3(4): 49–60
Morrissey J. Interface engines rev up. Mod Healthcare 1995 May 8; 49–60
Dunbrack L. Practice-management market to reach $1 billion by 1999. Health Manage Technol 1996 Jun; 17(7): 31–4
Amataykul M. CPR definition becoming clearer. Health Manage Technol 1995 Jul; 17(7): 66–76
Keegan AJ, Baldwin B. EIS: a better way to view hospital trends. Health Care Financial Manage 1992 Nov; 46(11): 58–66
Wyatt J, Spiegelhalter D. Evaluating medical expert systems: what to test and how? Med Informatics 1990; 15(3): 205–17
Clayton PD, Hripesak G. Decision support in healthcare. Int J Biomed Comput 1995; 39: 59–66
Rauch S, Holt MC, Horner M, et al. Community hospitals and the internet: lessons from pilot connections. Bull Med Libr Assoc 1994 Oct; 82(4): 401–6
Skolnick AA. Experts explore emerging information technologies’ effects on medicine. JAMA 1996 Mar; 275(9): 669–70
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Brailer, D.J. Information Technology. Dis Manage Health Outcomes 1, 227–232 (1997). https://doi.org/10.2165/00115677-199701050-00001
Published:
Issue Date:
DOI: https://doi.org/10.2165/00115677-199701050-00001