Personal Health Records Success: Why Google Health Failed and What Does that Mean for Microsoft HealthVault?

Five years of experimenting with Personal Health Records has not yielded the results that big companies like Google and Microsoft expected. Whereas Google pulled the plug on its product offering, Microsoft struggles to reach sufficient critical mass. This study adopts a user perspective (51 interviews) in conjunction with grounded theory, to offer explanations why Google Health failed and predictions relative to Microsoft's ability to reach a tipping point with respect to product/service viability. Noteworthy, vendors ignore relevance, or perceived usefulness when designing PHRs. Moreover, low trust and high risks do not bode well for long-term success, with the widely used information systems success models often neglecting the latter two critical dimensions.

[1]  Yi-Shun Wang Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success , 2008, Inf. Syst. J..

[2]  P. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003 .

[3]  Changsu Kim,et al.  Factors influencing Internet shopping value and customer repurchase intention , 2012, Electron. Commer. Res. Appl..

[4]  Leslie S. Liu,et al.  Barriers to the adoption and use of personal health record systems , 2011, iConference.

[5]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[6]  Susan Wiedenbeck,et al.  On-line trust: concepts, evolving themes, a model , 2003, Int. J. Hum. Comput. Stud..

[7]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[8]  Dyi-Yih Michael Lin,et al.  Age Differences in the Performance of Hypertext Perusal , 2001 .

[9]  Daniel Freudenthal,et al.  Age differences in the performance of information retrieval tasks , 2001, Behav. Inf. Technol..

[10]  Norman L. Chervany,et al.  What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology , 2001, Int. J. Electron. Commer..

[11]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[12]  Elena Karahanna,et al.  Reconceptualizing Compatibility Beliefs , 2006 .

[13]  Gilad J. Kuperman,et al.  Policies for patient access to clinical data via PHRs: current state and recommendations , 2011, J. Am. Medical Informatics Assoc..

[14]  B MilesMatthew,et al.  Qualitative Data Analysis , 2009, Approaches and Processes of Social Science Research.

[15]  Yongsheng Jin,et al.  A Review of Technology Acceptance Model in the E-commerce Environment , 2009, 2009 International Conference on Management of e-Commerce and e-Government.

[16]  Suzanne Rivard,et al.  A Multilevel Model of Resistance to Information Technology Implementation , 2005, MIS Q..

[17]  Kai H. Lim,et al.  Consumer's decision to shop online: The moderating role of positive informational social influence , 2011, Inf. Manag..

[18]  Yogesh Kumar Dwivedi,et al.  Is UTAUT really used or just cited for the sake of it? a systematic review of citations of UTAUT's originating article , 2011, ECIS.

[19]  A. Parasuraman,et al.  The Behavioral Consequences of Service Quality , 1996 .

[20]  Yogesh Kumar Dwivedi,et al.  A Meta-analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT) , 2011, Governance and Sustainability in Information Systems.

[21]  Ángel Herrero Crespo,et al.  Explaining B2C e-commerce acceptance: An integrative model based on the framework by Gatignon and Robertson , 2008, Interact. Comput..

[22]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[23]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[24]  John Michael Pearson,et al.  Integrating website usability with the electronic commerce acceptance model , 2011, Behav. Inf. Technol..

[25]  Nhan V. Do,et al.  The military health system's personal health record pilot with Microsoft HealthVault and Google Health , 2011, J. Am. Medical Informatics Assoc..

[26]  Jean Hartley,et al.  Case study research , 2004 .

[27]  Hung-Pin Shih,et al.  An empirical study on predicting user acceptance of e-shopping on the Web , 2004, Inf. Manag..

[28]  R. Yin Case Study Research: Design and Methods , 1984 .

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

[30]  Anol Bhattacherjee,et al.  Acceptance of e-commerce services: the case of electronic brokerages , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[31]  Gwo-Guang Lee,et al.  Customer perceptions of e‐service quality in online shopping , 2005 .

[32]  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..

[33]  John Hickner,et al.  The value of personal health records for chronic disease management: what do we know? , 2011, Family medicine.

[34]  Tao Zhou,et al.  Examining the Effect of E-commerce Website Quality on User Satisfaction , 2009, 2009 Second International Symposium on Electronic Commerce and Security.

[35]  Matthew S. Eastin,et al.  Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities , 2002, Telematics Informatics.

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

[37]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..

[38]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .

[39]  William R Doucette,et al.  Family physician perceptions of personal health records. , 2010, Perspectives in health information management.

[40]  Blanca Hernández,et al.  Customer behavior in electronic commerce: The moderating effect of e-purchasing experience , 2010 .

[41]  F. F. Reichheld,et al.  Zero defections: quality comes to services. , 1990, Harvard business review.

[42]  Yoon-Ho Seol,et al.  Personal health records and hypertension control: a randomized trial , 2012, J. Am. Medical Informatics Assoc..

[43]  M. B. Michel-Verkerke,et al.  Electronic prescription system: do the professionals use it? , 2004 .

[44]  M. Helander,et al.  Affective design of E-commerce user interfaces: how to maximise perceived trustworthiness , 2001 .

[45]  Marion J Ball,et al.  Personal health records: empowering consumers. , 2007, Journal of healthcare information management : JHIM.

[46]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[47]  E. Rogers Diffusion of Innovations , 1962 .

[48]  Claudia Pagliari,et al.  Potential of electronic personal health records , 2007, BMJ : British Medical Journal.

[49]  Helmut Krcmar,et al.  Evaluation Framework for Personal Health Records: Microsoft HealthVault Vs. Google Health , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[50]  Said S. Al-Gahtani,et al.  Modeling the electronic transactions acceptance using an extended technology acceptance model , 2011 .

[51]  Lei-da Chen,et al.  Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance , 2004 .

[52]  Tejal K. Gandhi,et al.  Effects of an online personal health record on medication accuracy and safety: a cluster-randomized trial , 2012, J. Am. Medical Informatics Assoc..

[53]  Matthew K. O. Lee,et al.  A Trust Model for Consumer Internet Shopping , 2001, Int. J. Electron. Commer..