A design strategy for health information systems to address care process management

Health information systems (HISs) offer great potential for supporting healthcare delivey, particularly collaborative care delivery that is provided across multiple settings and providers. To date many HISs have focused on digitzing data or processes on a departmental or healthcare provider basis. This approach has resulted in unintended consequences due to different types of interoperability issues. New approaches are needed to design integrated HISs to support collaborative care delivery. There is also a need for studies that articulate interoperability needs for HISs and how to evaluate different aspects (i.e., data, process and technical) of interoperability. This paper uses a three year case study of the design of the Palliative Care Information System (PAL-IS) to study system design and interoperability considerations for a collaborative HIS. We describe the two phases in which PAL-IS was designed and also identify criteria for evaluating interoperability of collaborative HISs.

[1]  Liam Peyton,et al.  A case study in interoperable support for collaborative community healthcare , 2012, 2012 4th International Workshop on Software Engineering in Health Care (SEHC).

[2]  G. Paré,et al.  Success in health information exchange projects: solving the implementation puzzle. , 2010, Social science & medicine.

[3]  Eric Yu,et al.  Social Modeling for Requirements Engineering: An Introduction , 2011, Social Modeling for Requirements Engineering.

[4]  Kristoffer Røed,et al.  Integration as interdependent workaround , 2013, Int. J. Medical Informatics.

[5]  Richard Heeks,et al.  Health information systems: Failure, success and improvisation , 2006, Int. J. Medical Informatics.

[6]  Liam Peyton,et al.  Leveraging Goal Models and Performance Indicators to Assess Health Care Information Systems , 2010, 2010 Seventh International Conference on the Quality of Information and Communications Technology.

[7]  Jennifer Lai,et al.  Unintended Consequences of Information Technologies in Health Care—An Interactive Sociotechnical Analysis , 2007 .

[8]  Casimir A. Kulikowski,et al.  The dangerous decade , 2012, J. Am. Medical Informatics Assoc..

[9]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[10]  Clay Spinuzzi,et al.  The Methodology of Participatory Design , 2005 .

[11]  Tim Benson,et al.  Principles of Health Interoperability HL7 and SNOMED , 2009 .

[12]  D. Bates,et al.  Improving safety with information technology. , 2003, The New England journal of medicine.

[13]  Kimberly A. Koester,et al.  The essential role of reconfiguration capabilities in the implementation of HIV-related health information exchanges , 2012, Int. J. Medical Informatics.

[14]  E. Coiera,et al.  Research Paper: Building a National Health IT System from the Middle Out , 2009, J. Am. Medical Informatics Assoc..

[15]  Shilo Anders,et al.  Mediating the intersections of organizational routines during the introduction of a health IT system , 2012, Eur. J. Inf. Syst..

[16]  D. Chou Health IT and Patient Safety: Building Safer Systems for Better Care , 2012 .

[17]  L. Schilling,et al.  Systematic Review of Health Information Exchange in Primary Care Practices , 2010, The Journal of the American Board of Family Medicine.