Beyond the Spreadsheet

Raghupathi W. Raghupathi V.

Big data analytics in healthcare: promise and potential.

Health Inf Sci Syst. 2014; 2https://doi.org/10.1186/2047-2501-2-3Pramanik P.K. Pal S. Mukhopadhyay M.

Healthcare big data: a comprehensive overview. In research anthology on big data analytics, architectures, and applications.

IGI Glob. 2022; : 19-47https://doi.org/10.4018/978-1-6684-3662-2.ch006

RBC Capital Markets: navigating the changing face of healthcare episode.

(Available at:) (Accessed November 18, 2022)Danciu I. Cowan J.D. Basford M. et al.

Secondary use of clinical data: the Vanderbilt approach.

J Biomed Inform. 2014; 52: 28-35Mohammed-Rajput N. Rajput Z.A. Cusack C.M.

Health information systems and applications.

in: Finnell J.T. Dixon B.E. Clinical Informatics study guide. Springer, Cham2016: 219-232

8 steps in the data lifecycle: HBS online. Business insights blog.

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Development of a data warehouse at an academic health system: knowing a place for the first time.

Acad Med. 2005; 80: 1019-1025

Traits and types of health data repositories.

Health Inf Sci Syst. 2014; 2: 1-8Campion Jr., T.R. Sholle E.T. Pathak J. et al.

An architecture for research computing in health to support clinical and translational investigators with electronic patient data.

J Am Med Inform Assoc. 2022; 29: 677-685Johnson K.E. Kamineni A. Fuller S. et al.

How the provenance of electronic health record data matters for research: a case example using system mapping.

eGEMS. 2014; 2https://doi.org/10.13063/2327-9214.1058

Embedding data provenance into the learning health system to facilitate reproducible research.

Learn Health Syst. 2017; 1: 2Silverstein J.C. Foster I.T.

Computer architectures for health care and biomedicine.

in: Shortliffe E.H. Cimino J.J. Biomedical informatics. 4th edition. Springer, London2014: 149-184https://doi.org/10.1007/978—1-4471-4474-8_5Dhudasia M.B. Grundmeier R.W. Mukhopadhyay S.

Essentials of data management: an overview.

Pediatr Res. 2021; 18: 1-2Famili A. Shen W.M. Weber R. et al.

Data preprocessing and intelligent data analysis.

Intell Data Anal. 1997; 1: 3-23

Health care in the age of interoperability: the potential and challenges.

IEEE Pulse. 2018; 9: 34-36

Learning to share health care data: a brief timeline of influential common data models and distributed health data networks in US health care research.

eGEMs. 2019; 7: 4Klann J.G. Joss M.A. Embree K. et al.

Data model harmonization for the all of us research program: transforming i2b2 data into the OMOP common data model.

PLoS One. 2019; 14: e0212463

Healthcare in the age of interoperability: the promise of fast healthcare interoperability resources.

IEEE Pulse. 2018; 9: 24-27

Data wrangling in database systems: purging of dirty data.

Data. 2020; 5: 50Celi L.A. Davidzon G. Johnson A.E. et al.

Bridging the health data divide.

J Med Internet Res. 2016; 18: e325Evans R.S. Lloyd J.F. Pierce L.A.

Clinical use of an enterprise data warehouse.

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Data lake management: challenges and opportunities.

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Data storage explained: data lake vs warehouse vs database. BMC Blogs.

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Data management.

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Overview of database management system.

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Will NoSQL databases live up to their promise?.

Computer. 2010; 43: 12-14Pavlenko E. Strech D. Langhof H.

Implementation of data access and use procedures in clinical data warehouses. a systematic review of literature and publicly available policies.

BMC Med Inform Decis Mak. 2020; 20: 1-3

What is data lineage? IBM.

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Data science: trends, perspectives, and prospects.

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Clinical data mining: a review.

Yearb Med Inform. 2009; 18: 121-133Khasnabish S. Burns Z. Couch M. et al.

Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program.

J Am Med Inform Assoc. 2020; 27: 308-314

Data visualization for human perception.

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Data-driven healthcare: challenges and opportunities for interactive visualization.

IEEE Comput Graph Appl. 2016; 36: 90-96

A visual analytics agenda.

IEEE Comput Graph Appl. 2006; 26: 10-13

Adapting data management education to support clinical research projects in an academic medical center.

J Med Libr Assoc. 2019; 107: 89-97Charow R. Jeyakumar T. Younus S. et al.

Artificial intelligence education programs for health care professionals: scoping review.

JMIR Med Educ. 2021; 7: e31043

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