A configurable identity matching algorithm for community care management

Systematic performance management for complex patient care is challenging. Heterogeneous healthcare data silos and inconsistent patient identity, coupled with patient privacy regulations, limit our ability to correlate healthcare data for complex patients. Cloud computing is an emerging technology that could be leveraged to address the issue of heterogeneous healthcare data silos if a regional health authority provided data hosting with appropriate data sharing agreements and identity management, in order to correlate healthcare data for complex patients. This paper introduces a configurable identity matching algorithm for correlating shared data from multiple stakeholders into a common data model to support performance management of community healthcare. The authors illustrate its use in a case study of cloud-hosted performance management for community care of complex patients at a regional health authority in Canada.

[1]  Mary Etta Mills,et al.  Linkage of patient records to support continuity of care: Issues and future directions. , 2006, Studies in health technology and informatics.

[2]  Lou Ann Wiedemann,et al.  Limiting the use of the Social Security number in healthcare. , 2011, Journal of AHIMA.

[3]  Julia Adler-Milstein,et al.  Sharing clinical data electronically: a critical challenge for fixing the health care system. , 2012, JAMA.

[4]  Shanti Gomatam,et al.  An empirical comparison of record linkage procedures , 2002, Statistics in medicine.

[5]  Ivan P. Fellegi,et al.  A Theory for Record Linkage , 1969 .

[6]  David W. Bates,et al.  Leveraging health information technology to achieve the "triple aim" of healthcare reform , 2015, J. Am. Medical Informatics Assoc..

[7]  Yike Guo,et al.  Wiki-health : from quantified self to self-understanding , 2014 .

[8]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[9]  Szymon Wilk,et al.  Comprehensive mitigation framework for concurrent application of multiple clinical practice guidelines , 2017, J. Biomed. Informatics.

[10]  Borko Furht,et al.  Cloud Computing Fundamentals , 2010, Handbook of Cloud Computing.

[11]  Yasuo Ohashi,et al.  When to conduct probabilistic linkage vs. deterministic linkage? A simulation study , 2015, J. Biomed. Informatics.

[12]  C. Kuziemsky,et al.  Understanding Unintended Consequences and Health Information Technology , 2016, Yearbook of Medical Informatics.

[13]  Richard M J Bohmer,et al.  The Hard Work of Health Care Transformation. , 2016, The New England journal of medicine.

[14]  Peter Christen,et al.  A taxonomy of privacy-preserving record linkage techniques , 2013, Inf. Syst..

[15]  Liam Peyton,et al.  Cloud‐based performance management of community care services , 2018, J. Softw. Evol. Process..

[16]  S. Mercer,et al.  Health benefits of primary care social work for adults with complex health and social needs: a systematic review , 2018, Health & social care in the community.

[17]  D. Berwick,et al.  The triple aim: care, health, and cost. , 2008, Health affairs.

[18]  Erik-André Sauleau,et al.  Medical record linkage in health information systems by approximate string matching and clustering , 2005, BMC Medical Informatics Decis. Mak..

[19]  Abdenour Bouzouane,et al.  The behavioral profiling based on times series forecasting for smart homes assistance , 2015, J. Ambient Intell. Humaniz. Comput..

[20]  Johannes B Reitsma,et al.  Probabilistic record linkage is a valid and transparent tool to combine databases without a patient identification number. , 2007, Journal of clinical epidemiology.

[21]  Lifang Gu,et al.  Record Linkage: Current Practice and Future Directions , 2003 .

[22]  Javier Bajo,et al.  MAS-based self-adaptive architecture for controlling and monitoring Cloud platforms , 2016, Journal of Ambient Intelligence and Humanized Computing.

[23]  Kevin Lee,et al.  An evaluation of hospital information systems integration approaches , 2012, ICACCI '12.

[24]  Julie A Dooling,et al.  Managing the integrity of patient identity in health information exchange (updated). , 2014, Journal of AHIMA.

[25]  Girish Suryanarayana,et al.  Cloud-Enabled Search for Disparate Healthcare Data: A Case Study , 2013, 2013 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM).

[26]  Michael J Barry,et al.  Defining Patient Complexity From the Primary Care Physician's Perspective , 2011, Annals of Internal Medicine.

[27]  Ching-Torng Lin,et al.  Risk assessment in new software development projects at the front end: a fuzzy logic approach , 2016, Journal of Ambient Intelligence and Humanized Computing.

[28]  Walter Gall,et al.  Unambiguous identification of hospital patients: Case study at the university departments of the General Hospital, Vienna , 2000, Int. J. Medical Informatics.