A Bounded Health Information Technology System Design Approach to Support Community-Based Care Delivery

Health information technology HIT offers great potential for supporting healthcare delivery, particularly collaborative care delivery that is provided across multiple settings and providers. To date much of HIT design has focused on digitizing data or processes on a departmental or healthcare provider basis. However, this bounded approach has not scaled well for supporting community based care across disparate providers or settings because of the lack of boundaries e.g. disprate data and processes that exist in community based care. Cloud computing approaches that leverage mobile form applications for developing integrated HIT solutions have the potential to support collaborative healthcare delivery in the community. However, to date there is a shortage of methods that describe how to develop integrated cloud computing solutions to support community based care delivery. In particular there is a need for methods that identify how to incorporate boundaries into cloud computing systems design. This paper uses a three year case study of the design of the Palliative Care Information System PAL-IS to provide system design insight on cloud computing approaches that leverage mobile forms applications to support community care management.

[1]  Maria-Esther Vidal,et al.  Aggregating Functional and Non-Functional Properties to Identify Service Compositions , 2011 .

[2]  Morten Kyng,et al.  On participatory design of home-based healthcare , 2012, Cognition, Technology & Work.

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

[4]  Thomas Bodenheimer,et al.  Improving primary care for patients with chronic illness. , 2002, JAMA.

[5]  David W Harless,et al.  Delivery system characteristics and their association with quality and costs of care: Implications for accountable care organizations , 2015, Health care management review.

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

[7]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[8]  T. Bodenheimer.  Coordinating care--a perilous journey through the health care system. , 2008, The New England journal of medicine.

[9]  D W Bates,et al.  eHealth in North America , 2013, Yearbook of Medical Informatics.

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

[11]  Eric Yu,et al.  Social Modeling for Requirements Engineering , 2011, Cooperative information systems.

[12]  Arshdeep Bahga,et al.  A Cloud-based Approach for Interoperable Electronic Health Records (EHRs) , 2013, IEEE Journal of Biomedical and Health Informatics.

[13]  Ada Scupola.  Innovative Mobile Platform Developments for Electronic Services Design and Delivery , 2012 .

[14]  Inderveer Chana,et al.  Cloud based intelligent system for delivering health care as a service , 2014, Comput. Methods Programs Biomed..

[15]  Philippe Lalanda,et al.  Service-Oriented Computing: From Web Services to Service-Oriented Components , 2012 .

[16]  Amit Kumar,et al.  Cloud computing for improved healthcare: Techniques, potential and challenges , 2013, 2013 E-Health and Bioengineering Conference (EHB).

[17]  Sherein Hamed Abou-Warda.  A Standardized Marketing Audit Model for Entrepreneurship Education in Egypt , 2015, Int. J. Serv. Sci. Manag. Eng. Technol..

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

[19]  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.

[20]  Liam Peyton,et al.  A design strategy for health information systems to address care process management , 2014, 2014 5th International Conference on Information and Communication Systems (ICICS).

[21]  Euripidis Loukis,et al.  Knowledge Interoperability among Parliaments and Government , 2010, Int. J. E Serv. Mob. Appl..

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

[23]  Moira Stewart,et al.  Mechanisms for communicating within primary health care teams. , 2009, Canadian family physician Medecin de famille canadien.

[24]  Jonathan Lee,et al.  Service Life Cycle Tools and Technologies: Methods, Trends, and Advances , 2011 .

[25]  Nicole B. Koppel,et al.  InformatIon SyStemS In the ServIce Sector , 2010 .

[26]  D. Baker,et al.  Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. , 2007, JAMA.

[27]  Adel Taweel,et al.  Engineering Reliable Service Oriented Architecture: Managing Complexity and Service Level Agreements , 2011 .

[28]  Rainu Kaushal,et al.  Health information exchange system usage patterns in three communities: Practice sites, users, patients, and data , 2013, Int. J. Medical Informatics.

[29]  Robert L. Wears,et al.  Health information technology: fallacies and sober realities , 2010, J. Am. Medical Informatics Assoc..

[30]  Heiko Wieland,et al.  Employee Welfare Measures in Public and Private Sectors : A Comparative Analysis , 2016 .

[31]  K McMartin,et al.  Discharge planning in chronic conditions: an evidence-based analysis. , 2013, Ontario health technology assessment series.

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

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

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

[35]  A Kushniruk,et al.  From Usability Testing to Clinical Simulations: Bringing Context into the Design and Evaluation of Usable and Safe Health Information Technologies , 2013, Yearbook of Medical Informatics.

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

[37]  Michael I. Harrison,et al.  Viewpoint Paper: Unintended Consequences of Information Technologies in Health Care - An Interactive Sociotechnical Analysis , 2007, J. Am. Medical Informatics Assoc..

[38]  D. Blumenthal.  Stimulating the adoption of health information technology. , 2009, The West Virginia medical journal.

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