Data Completeness in Healthcare: A Literature Survey

As the adoption of eHealth has made it easier to access and aggregate healthcare data, there has been growing application for clinical decisions, health services planning, and public health monitoring with daily collected data in clinical care. Reliable data quality is a precursor of the aforementioned tasks. There is a body of research on data quality in healthcare, however, a clear picture of data completeness in this field is missing. This research aims to identify and classify current research themes related to data completeness in healthcare. In addition, the paper presents problems with data completeness in the reviewed literature and identifies methods that have been adopted to address those problems. This study has reviewed 24 papers (January 2011–April 2016) published in information and computing sciences, biomedical engineering, and medicine and health sciences journals. The paper uncovers three main research themes, including design and development, evaluation, and determinants. In conclusion, this paper improves our understanding of the current state of the art of data completeness in healthcare records and indicates future research directions.

[1]  Sherman D. Quan,et al.  Electronic immunization data collection systems: application of an evaluation framework , 2014, BMC Medical Informatics and Decision Making.

[2]  Ricardo Garcia De Leon Chocano,et al.  Construction of quality-assured infant feeding process of care data repositories: definition and design (Part 1) , 2015 .

[3]  Anthony J. Onwuegbuzie,et al.  Data Analysis in Mixed Research: A Primer , 2011 .

[4]  Ju Han Kim,et al.  MELLO: Medical lifelog ontology for data terms from self-tracking and lifelog devices , 2015, Int. J. Medical Informatics.

[5]  Hairong Yu,et al.  Structured data quality reports to improve EHR data quality , 2015, Int. J. Medical Informatics.

[6]  Matthew Kam,et al.  Barriers to using eHealth data for clinical performance feedback in Malawi: A case study , 2015, Int. J. Medical Informatics.

[7]  Christel Daniel-Le Bozec,et al.  Implementation and management of a biomedical observation dictionary in a large healthcare information system , 2013, J. Am. Medical Informatics Assoc..

[8]  Pradeep Kumar Ray,et al.  Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature , 2013, Int. J. Medical Informatics.

[9]  Howard Goldberg,et al.  Taking advantage of continuity of care documents to populate a research repository , 2015, J. Am. Medical Informatics Assoc..

[10]  Sudhir Srivastava,et al.  Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis , 2015, Database J. Biol. Databases Curation.

[11]  Lanny Floyd.  IEEE Xplore Digital Library [From the Editor's Desk] , 2013 .

[12]  Chunhua Weng,et al.  Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research , 2013, J. Am. Medical Informatics Assoc..

[13]  Hao Wu,et al.  Evaluation of data quality of multisite electronic health record data for secondary analysis , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[14]  Chien-Hung Chen,et al.  Heart beats in the cloud: distributed analysis of electrophysiological 'Big Data' using cloud computing for epilepsy clinical research , 2014, J. Am. Medical Informatics Assoc..

[15]  Mohammad Khalilia,et al.  Quantifying care coordination using natural language processing and domain-specific ontology , 2015, J. Am. Medical Informatics Assoc..

[16]  Julie J McGowan,et al.  Electronic laboratory data quality and the value of a health information exchange to support public health reporting processes. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[17]  W A G Wrightson,et al.  A Comparison of Electronic and Handwritten Anaesthetic Records for Completeness of Information , 2010, Anaesthesia and intensive care.

[18]  Diane Dolezel,et al.  Implementing EHRs: An Exploratory Study to Examine Current Practices in Migrating Physician Practice. , 2015, Perspectives in health information management.

[19]  Ching-Seh Wu,et al.  Optimizing Medical Data Quality Based on Multiagent Web Service Framework , 2012, IEEE Transactions on Information Technology in Biomedicine.

[20]  Pradeep Kumar Ray,et al.  Validating an ontology-based algorithm to identify patients with Type 2 Diabetes Mellitus in Electronic Health Records , 2014, Int. J. Medical Informatics.

[21]  Luís Velez Lapão,et al.  Analysis of the quality of hospital information systems audit trails , 2013, BMC Medical Informatics and Decision Making.

[22]  Lorenzo Moreno.  Electronic Health Records: Synthesizing Recent Evidence and Current Policy , 2005 .

[23]  Paul Landais,et al.  A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research , 2015, J. Am. Medical Informatics Assoc..

[24]  John Haskew,et al.  Implementation of a cloud-based electronic medical record for maternal and child health in rural Kenya , 2015, Int. J. Medical Informatics.

[25]  Minal Thakkar,et al.  Risks, barriers, and benefits of EHR systems: a comparative study based on size of hospital. , 2006, Perspectives in health information management.

[26]  Raymond Chow,et al.  Structured electronic operative reporting: Comparison with dictation in kidney cancer surgery , 2012, Int. J. Medical Informatics.

[27]  Carlos Sáez,et al.  Construction of quality-assured infant feeding process of care data repositories: definition and design (Part 1) , 2015, Comput. Biol. Medicine.

[28]  Amir Hossein Ghapanchi,et al.  Recent Research Areas and Grand Challenges in Electronic Medical Record: A Literature Survey Approach , 2013 .

[29]  Fleur Fritz,et al.  Does single-source create an added value? Evaluating the impact of introducing x4T into the clinical routine on workflow modifications, data quality and cost-benefit , 2014, Int. J. Medical Informatics.

[30]  D. Woodwell,et al.  Physician adoption of electronic health record systems: United States, 2011. , 2012, NCHS data brief.

[31]  Fleur Fritz,et al.  HIS-based Kaplan-Meier plots - a single source approach for documenting and reusing routine survival information , 2011, BMC Medical Informatics Decis. Mak..

[32]  Martin Dugas,et al.  Concept and implementation of a computer-based reminder system to increase completeness in clinical documentation , 2011, Int. J. Medical Informatics.

[33]  K. Thiru,et al.  Systematic review of scope and quality of electronic patient record data in primary care , 2003, BMJ : British Medical Journal.

[34]  Mohammed Elmogy,et al.  A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis , 2015, Artif. Intell. Medicine.

[35]  Pete Stark,et al.  Congressional intent for the HITECH Act. , 2010, The American journal of managed care.

[36]  Jianzhong Li,et al.  Determining the Real Data Completeness of a Relational Dataset , 2016, Journal of Computer Science and Technology.

[37]  L. Kohn,et al.  To Err Is Human : Building a Safer Health System , 2007 .

[38]  Thomas K. Houston,et al.  Data Quality in the Outpatient Setting: Impact on Clinical Decision Support Systems , 2005, AMIA.

[39]  George Hripcsak,et al.  Defining and measuring completeness of electronic health records for secondary use , 2013, J. Biomed. Informatics.

[40]  Andreas Rosenblad,et al.  Reporting systems, reporting rates and completeness of data reported from primary healthcare to a Swedish quality register - The National Diabetes Register , 2011, Int. J. Medical Informatics.

[41]  Kenneth Sherr,et al.  An assessment of data quality in a multi-site electronic medical record system in Haiti , 2016, Int. J. Medical Informatics.

[42]  Carole A. Goble,et al.  Quality, trust, and utility of scientific data on the web: towards a joint model , 2011, WebSci '11.

[43]  Hans-Ulrich Prokosch,et al.  Evaluation of data completeness in the electronic health record for the purpose of patient recruitment into clinical trials: a retrospective analysis of element presence , 2013, BMC Medical Informatics and Decision Making.

[44]  Leo Pipino,et al.  Total Data Quality Management: The Case of IRI , 1997, IQ.

[45]  Nicolette de Keizer,et al.  Optimizing the user interface of a data entry module for an electronic patient record for cardiac rehabilitation: A mixed method usability approach , 2016, Int. J. Medical Informatics.

[46]  Ian Shaw,et al.  Kinds and Quality of Social Work Research , 2006 .

[47]  Carlo Batini,et al.  Methodologies for data quality assessment and improvement , 2009, CSUR.

[48]  Ibrahim Taiwo Adeleke,et al.  Data quality assessment in healthcare: a 365-day chart review of inpatients' health records at a Nigerian tertiary hospital , 2012, J. Am. Medical Informatics Assoc..

[49]  N. Menachemi,et al.  Benefits and drawbacks of electronic health record systems , 2011 .

[50]  Jun Li,et al.  The Québec BCG Vaccination Registry (1956–1992): assessing data quality and linkage with administrative health databases , 2014, BMC Medical Informatics and Decision Making.

[51]  Brant E. Fries,et al.  An evaluation of data quality in Canada’s Continuing Care Reporting System (CCRS): secondary analyses of Ontario data submitted between 1996 and 2011 , 2013, BMC Medical Informatics and Decision Making.

[52]  Meng Zhao,et al.  Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care , 2014, J. Am. Medical Informatics Assoc..

[53]  Emma Coleman,et al.  An importance-performance analysis of hospital information system attributes: A nurses' perspective , 2016, Int. J. Medical Informatics.

[54]  A. Fatiregun,et al.  Completeness of suspected measles reporting in a southern district of Nigeria. , 2010, Public health.

[55]  Monique W. M. Jaspers,et al.  A framework for performance and data quality assessment of Radio Frequency IDentification (RFID) systems in health care settings , 2011, J. Biomed. Informatics.

[56]  D. Blumenthal,et al.  The "meaningful use" regulation for electronic health records. , 2010, The New England journal of medicine.