Category Supplementary Resource Organisation Integrating the Healthcare Enterprise (IHE) Type Standard Version 1.1 Access Open Status Active Created Dec-16 This document describes the analysis performed by the IT Infrastructure Technical Committee when selecting the optimal de-identification algorithms to fulfil the De-Identification for Family Planning use case published in Volume 4 of the IHE Quality, Research, and Public Health (QRPH) Family Planning Trial Implementation Supplement.This use case required the de-identification of data for the purposes of health services research, for example in program planning and budgeting, basic monitoring of program performance and adherence to the scope of a funded project, clinical quality improvement initiatives and whether services are being delivered to the intended populations.The document has two intended audiences:· clinicians, researchers, data analysts, and others who seek to understand how and why the selected de-identification algorithms were chosen for each data element (the target audience for this document)· developers who will implement the de-identification algorithms into their software (who should start with the IHE QRPH De-Identification for Family Planning supplement and consult this document for additional background information where needed).Main sections:· Purpose and intended audience· De-identification goals for family planning data elements· Problem description· Definitions· Conventions· Use cases· De-identification methods· Data models· De-identification algorithm analysis· Appendix A: Sample FP CDA documents and their de-identified documents· Appendix B: Usability analysis of de-identified data