Grannis, Shaun

Grannis S. Enhancing Patient Matching in Support of Operational Health Information Exchange - Final Report. (Prepared by Indiana University-Purdue University at Indianapolis under Grant No. R01 HS023808). Rockville, MD: Agency for Healthcare Research and Quality, 2023.

Marsolo K, Kiernan D, Toh S, Phua J, Louzao D, Haynes K, Weiner M, Angulo F, Bailey C, Bian J, Fort D, Grannis S, Krishnamurthy AK, Nair V, Rivera P, Silverstein J, Zirkle M, Carton T. Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network. J Am Med Inform Assoc. 2023 Feb 16;30(3):447-455. doi: 10.1093/jamia/ocac229. PMID: 36451264; PMCID: PMC9933062.

Kiernan D, Carton T, Toh S, Phua J, Zirkle M, Louzao D, Haynes K, Weiner M, Angulo F, Bailey C, Bian J, Fort D, Grannis S, Krishnamurthy AK, Nair V, Rivera P, Silverstein J, Marsolo K. Establishing a framework for privacy-preserving record linkage among electronic health record and administrative claims databases within PCORnet®, the National Patient-Centered Clinical Research Network. BMC Res Notes. 2022 Oct 31;15(1):337. doi: 10.1186/s13104-022-06243-5. PMID: 36316778; PMCID: PMC9620597.

Grannis SJ, Williams JL, Kasthuri S, Murray M, Xu H. Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy. J Am Med Inform Assoc. 2022 Jul 12;29(8):1409-1415. doi: 10.1093/jamia/ocac068. PMID: 35568993; PMCID: PMC9277641.

Williams KS, Grannis SJ. Patient-Centered Data Home: A path towards national interoperability. Front Digit Health. 2022 Jul 13;4:887015. doi: 10.3389/fdgth.2022.887015. PMID: 35911616; PMCID: PMC9328272.

Grannis SJ, Xu H, Vest JR, Kasthurirathne S, Bo N, Moscovitch B, Torkzadeh R, Rising J. Evaluating the effect of data standardization and validation on patient matching accuracy. J Am Med Inform Assoc. 2019 May 1;26(5):447-456. doi: 10.1093/jamia/ocy191. PMID: 30848796; PMCID: PMC7787357.

Huiping Xu. Xiaochun Li. Changyu Shen. Siu L. Hui. Shaun Grannis. "Incorporating conditional dependence in latent class models for probabilistic record linkage: Does it matter?." Ann. Appl. Stat. 13 (3) 1753 - 1790, September 2019. https://doi.org/10.1214/19-AOAS1256

Grannis, S., Kasthurirathne, S., Bo, N., Xu, H. (2019). Evaluating two approaches for parameterizing the Fellegi-Sunter patient matching algorithm to optimize accuracy. Medinfo conference proceedings

McNutt, A.T., Grannis, S.J., Bo, N., Xu, H., Kasthurirathne, S. N.(2020, March). Comparison of supervised machine learning and probabilistic approaches for record linkage. AMIA Informatics summit 2020 Conference Proceedings.

Kasthurirathne SN, Grannis SJ. Machine learning approaches to identify nicknames from a statewide Health Information Exchange. AMIA Jt Summits Transl Sci Proc. 2019 May 6;2019:639-647. PMID: 31259019; PMCID: PMC6568128.