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Challenges and Opportunities in Data Quality, Privacy, and Security
MEASURE Evaluation undertook an assessment to study how mobile phone user behavior among health workers in LMICs may affect data quality—including data privacy, security, and confidentiality.
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Going Paperless
MEASURE Evaluation helps Swaziland ensure data quality as the country digitizes its health information system.
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Factors that Affect Collection and Use of Sex- and Age-Disaggregated Data
MEASURE Evaluation has released three publications to help donors, governments, and groups working on health information systems to better understand factors that affect collection and use of sex- and age-disaggregated data.
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Waves of Opportunity from Big Data, and the Wake of Questions Left Unanswered
By Brittany Iskarpatyoti, MPH. Big data was a key topic at the American Evaluation Association annual meeting, including the questions it raises.
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Tidy Data and How to Get It
By John Spencer, MA. Untidy data can undermine even the strongest health information system and introduce a barrier to effective data use.
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It’s Time for a New Question in Disease Outbreaks
By Brittany Iskarpatyoti, MPH. A new brief explores the importance of gender in monitoring and evaluation and suggests indicators that can reveal and explain gender gaps in emerging infectious disease outcomes.
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Health Information System Architecture: Harmonized and Interoperable
By Manish Kumar, MPH, MS. Research in Bihar, India suggests that a federated information system architecture could facilitate access within the health sector to good-quality data from multiple sources, enabling strategic and clinical decisions for better health.
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Planning the Future of Digital Health
By Sam Wambugu, MPH, PMP. Sharing thoughts on the 2016 Global Digital Health Forum.
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Health through Measurement: Countries Learn How by Listening to Each Other
By Jim Thomas, PhD. The Health Data Collaborative comes to Dhaka, Bangladesh. Read about the meeting.
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Getting from ‘Wow’ to Sustainability
By Jim Thomas, PhD. It’s an exciting prospect that disparate technologies could transform health information. But governments should know that there still will be specific questions they should ask before adopting any of them.
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