Making the Case for Leveraging the Patient-Centered E-Health (PCEH) Context to Expand Information Systems Theory

Patient-centered e-health (PCEH) represents a fascinating area of digitized stakeholder interactions characterized by complex information flow s, shared decision making, co-created value, and mutual interest in improving health outcomes. Such a context lies in contrast to often contentious firm-consumer relationships characterized by self interest, surplus maximization (from both producer and consumer sides), and consumer segmentation. This article suggests that PCEH is an ideal context in w hich to study the emerging class of information systems that include consumers as empow ered influencers, stakeholders, and decision makers, rather than only “purchasers” on the other side of the exchange relationship or “mandated” users in the enterprise context. The PCEH context is proposed as an enormous research opportunity that may significantly contribute to expanding information systems research and theory. Keyw ords: patient-centered e-health; research opportunities; inductive and deductive PCEH literature

[1]  Pamela Whitten,et al.  Success and failure: a case study of two rural telemedicine projects , 2003, Journal of telemedicine and telecare.

[2]  Debbe Thompson,et al.  A framework for evaluating eHealth research. , 2006, Evaluation and program planning.

[3]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[4]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[5]  Saurabh Gupta,et al.  Special Issue on Design and Development: Appropriateness and Impact of Platform-Based Product Development , 2001, Manag. Sci..

[6]  Kar Yan Tam,et al.  Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..

[7]  Rajiv Kohli,et al.  Understanding Determinants of Online Consumer Satisfaction: A Decision Process Perspective , 2004, J. Manag. Inf. Syst..

[8]  Vivian L. West,et al.  Patient Satisfaction with Telemedicine , 2000 .

[9]  T. S. Raghu,et al.  Understanding Contingencies Associated with the Early Adoption of Customer-Facing Web Portals , 2012, J. Manag. Inf. Syst..

[10]  Colin Camerer,et al.  Advances in behavioral economics , 2004 .

[11]  David Young,et al.  Research Paper: Patient Experiences and Attitudes about Access to a Patient Electronic Health Care Record and Linked Web Messaging , 2004, J. Am. Medical Informatics Assoc..

[12]  Steven L. Alter,et al.  The Work System Method for Understanding Information Systems and Information Systems Research , 2002, Commun. Assoc. Inf. Syst..

[13]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..

[14]  L. LeeHau,et al.  Information Distortion in a Supply Chain , 1997 .

[15]  Lori L. DuBenske,et al.  The value of theory for enhancing and understanding e-health interventions. , 2010, American journal of preventive medicine.

[16]  M. Porter,et al.  How Information Gives You Competitive Advantage , 1985 .

[17]  Per-Gunnar Svensson,et al.  eHealth Applications in Health Care Management , 2002, Ehealth international.

[18]  Roland T. Rust,et al.  Feature Fatigue: When Product Capabilities Become Too Much of a Good Thing , 2005 .

[19]  R. Cialdini,et al.  Social influence: Social norms, conformity and compliance. , 1998 .

[20]  R. Cropanzano,et al.  Social Exchange Theory: An Interdisciplinary Review , 2005 .

[21]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[22]  Walfried M. Lassar,et al.  The relationship between consumer innovativeness, personal characteristics, and online banking adoption , 2005 .

[23]  Noam Tractinsky,et al.  Toward the Study of Aesthetics in Information Technology , 2004, ICIS.

[24]  Kevin Zhu,et al.  Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level , 2006, Inf. Manag..

[25]  C. Prahalad,et al.  Co-creation experiences: The next practice in value creation , 2004 .

[26]  Robert G. Fichman,et al.  Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods , 2004, J. Assoc. Inf. Syst..

[27]  Qian Peng,et al.  Consumer Search Behavior in Online Shopping Environments , 2004 .

[28]  Kenneth D. Mandl,et al.  Viewpoint Paper: Early Experiences with Personal Health Records , 2008, J. Am. Medical Informatics Assoc..

[29]  John T. Gourville,et al.  Consumer Control and Empowerment: A Primer , 2002 .

[30]  R. G. Fichman,et al.  Editorial Overview---The Role of Information Systems in Healthcare: Current Research and Future Trends , 2011 .

[31]  Clayton M. Christensen The Ongoing Process of Building a Theory of Disruption , 2006 .

[32]  E. Vance Wilson,et al.  The Distinct Roles of Prior IT Use and Habit Strength in Predicting Continued Sporadic Use of IT , 2010, Commun. Assoc. Inf. Syst..

[33]  Bryant T Karras,et al.  Mobile eHealth Interventions for Obesity: A Timely Opportunity to Leverage Convergence Trends , 2005, Journal of medical Internet research.

[34]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[35]  Khaled Hassanein,et al.  Protection Motivation Theory, Task-Technology Fit and the Adoption of Personal Health Records by Chronic Care Patients: The Role of Educational Interventions , 2011, AMCIS.

[36]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

[37]  Margaret Tan,et al.  Factors Influencing the Adoption of Internet Banking , 2000, J. Assoc. Inf. Syst..

[38]  David M. Rind,et al.  Research Paper: Who Uses the Patient Internet Portal? The PatientSite Experience , 2006, J. Am. Medical Informatics Assoc..

[39]  Anand Jeyaraj,et al.  A review of the predictors, linkages, and biases in IT innovation adoption research , 2006, J. Inf. Technol..

[40]  Stephen L. Vargo,et al.  Toward a conceptual foundation for service science: Contributions from service-dominant logic , 2008, IBM Syst. J..

[41]  V. Entwistle,et al.  Decision aids for patients facing health treatment or screening decisions: systematic review , 1999, BMJ.

[42]  C. Goldzweig,et al.  Costs and benefits of health information technology: new trends from the literature. , 2009, Health affairs.

[43]  David W. Bates,et al.  White Paper: Personal Health Records: Definitions, Benefits, and Strategies for Overcoming Barriers to Adoption , 2006, J. Am. Medical Informatics Assoc..

[44]  Russell E Glasgow,et al.  eHealth evaluation and dissemination research. , 2007, American journal of preventive medicine.

[45]  E. Wilson,et al.  Patient-Centered E-Health , 2008 .

[46]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[47]  Connie V. Chan,et al.  A Taxonomy Characterizing Complexity of Consumer eHealth Literacy , 2009, AMIA.

[48]  Mark J. Safferstone Information Rules: A Strategic Guide to the Network Economy , 1999 .

[49]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[50]  Anandhi S. Bharadwaj,et al.  A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..

[51]  Sandra Sieber,et al.  Impact of the Internet on market structure, The , 2002 .

[52]  Paul R. Carlile,et al.  The Cycles of Theory Building in Management Research , 2005 .

[53]  Donald R. Cooper,et al.  Business Research Methods , 1980 .

[54]  Mary Ellen Gordon,et al.  Consumer attitudes towards Internet advertising , 1997 .

[55]  Alison Bowes,et al.  Effectiveness of telemedicine: A systematic review of reviews , 2010, Int. J. Medical Informatics.

[56]  Christian Lovis,et al.  White Paper: Patient-centered Applications: Use of Information Technology to Promote Disease Management and Wellness. A White Paper by the AMIA Knowledge in Motion Working Group , 2008, J. Am. Medical Informatics Assoc..

[57]  Robert J. Kauffman,et al.  50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science , 2004, Manag. Sci..

[58]  Ritu Agarwal,et al.  The Digital Transformation of Healthcare: Current Status and the Road Ahead , 2010 .

[59]  Dianne Cyr,et al.  Bringing Loyalty to E-health: Theory Validation Using Three Internet-Delivered Interventions , 2011, Journal of medical Internet research.

[60]  Richard L. Priem A Consumer Perspective on Value Creation , 2007 .

[61]  Wanda J. Orlikowski,et al.  Research Commentary: Desperately Seeking the "IT" in IT Research - A Call to Theorizing the IT Artifact , 2001, Inf. Syst. Res..

[62]  T. S. Raghu,et al.  The Role of Policy in the Prevention of Personal Health Record (PHR) Market Failure , 2012 .

[63]  M. C. Jensen,et al.  Harvard Business School; SSRN; National Bureau of Economic Research (NBER); European Corporate Governance Institute (ECGI); Harvard University - Accounting & Control Unit , 1976 .

[64]  E. Balas,et al.  Healthcare via cell phones: a systematic review. , 2009, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[65]  Richard Klein,et al.  An empirical examination of patient-physician portal acceptance , 2007, Eur. J. Inf. Syst..

[66]  D. Blumenthal,et al.  The "meaningful use" regulation for electronic health records. , 2010, The New England journal of medicine.

[67]  Don E. Schultz,et al.  A customer-focused approach can bring the current marketing mix into the 21 st century , 2005 .