Rajan Vaish, S. T. Ishikawa, Jing Liu, Stephanie C. Berkey, Philip Strong, James Davis
{"title":"Digitization of health records in rural villages","authors":"Rajan Vaish, S. T. Ishikawa, Jing Liu, Stephanie C. Berkey, Philip Strong, James Davis","doi":"10.1109/GHTC.2013.6713682","DOIUrl":null,"url":null,"abstract":"We present a study that reviews current available methods for obtaining electronic health records (EHRs) to facilitate the provision of health services to patients from rural villages in developing countries. The study compares processes of digitizing health records by means of manual transcription, both by hiring a professional transcriptionist and by using online crowdsourcing platforms. Finally, a cost-benefit analysis is conducted to compare the studied transcription methods to an alternate technology-based solution that was developed to support in-the-field direct data entry.","PeriodicalId":168082,"journal":{"name":"2013 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Global Humanitarian Technology Conference (GHTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GHTC.2013.6713682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
We present a study that reviews current available methods for obtaining electronic health records (EHRs) to facilitate the provision of health services to patients from rural villages in developing countries. The study compares processes of digitizing health records by means of manual transcription, both by hiring a professional transcriptionist and by using online crowdsourcing platforms. Finally, a cost-benefit analysis is conducted to compare the studied transcription methods to an alternate technology-based solution that was developed to support in-the-field direct data entry.