Clinical laboratory analytics: Challenges and promise for an emerging discipline

The clinical laboratory is a major source of health care data. Increasingly these data are being integrated with other data to inform health system-wide actions meant to improve diagnostic test utilization, service efficiency, and "meaningful use." The Academy of Clinical Laboratory Physicians and Scientists hosted a satellite meeting on clinical laboratory analytics in conjunction with their annual meeting on May 29, 2014 in San Francisco. There were 80 registrants for the clinical laboratory analytics meeting. The meeting featured short presentations on current trends in clinical laboratory analytics and several panel discussions on data science in laboratory medicine, laboratory data and its role in the larger healthcare system, integrating laboratory analytics, and data sharing for collaborative analytics. One main goal of meeting was to have an open forum of leaders that work with the "big data" clinical laboratories produce. This article summarizes the proceedings of the meeting and content discussed.

[1]  F. Davidoff,et al.  What is “quality improvement” and how can it transform healthcare? , 2007, Quality and Safety in Health Care.

[2]  Ronald A. Rensink,et al.  Facilitating the analysis of immunological data with visual analytic techniques. , 2011, Journal of visualized experiments : JoVE.

[3]  M. Porter,et al.  The Big Idea : How to Solve the Cost Crisis in Health Care , 2012 .

[4]  Theodore Speroff,et al.  Study Designs for PDSA Quality Improvement Research , 2004, Quality management in health care.

[5]  Brian R. Jackson,et al.  Using Patients Like My Patient for Clinical Decision Support: Institution-Specific Probability of Celiac Disease Diagnosis Using Simplified Near-Neighbor Classification , 2013, Journal of general internal medicine.

[6]  Brian H Shirts,et al.  Do we now know what inappropriate laboratory utilization is? An expanded systematic review of laboratory clinical audits. , 2014, American journal of clinical pathology.

[7]  James J. Cimino,et al.  Visualizing the Data – Using Lifelines2 to Gain Insights from Data Drawn from a Clinical Data Repository , 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

[8]  Anand S. Dighe,et al.  A novel strategy for evaluating the effects of an electronic test ordering alert message: Optimizing cardiac marker use , 2012, Journal of pathology informatics.

[9]  B. Shirts,et al.  Informatics methods for laboratory evaluation of HPV ordering patterns with an example from a nationwide sample in the United States, 2003-2009 , 2010, Journal of pathology informatics.

[10]  Brian R. Jackson,et al.  Primary Care Physicians' Challenges in Ordering Clinical Laboratory Tests and Interpreting Results , 2014, The Journal of the American Board of Family Medicine.

[11]  M. Hammond,et al.  Quality and the college of american pathologists. , 2011, Archives of pathology & laboratory medicine.

[12]  Christian Chabot.  Demystifying Visual Analytics , 2009, IEEE Computer Graphics and Applications.

[13]  P. J. Howanitz,et al.  Using Q-Probes to improve the quality of laboratory medicine: a quality improvement program of the College of American Pathologists. , 1991, Quality assurance in health care : the official journal of the International Society for Quality Assurance in Health Care.