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Empowering Healthcare Professionals to Use Databases:
Design and User Study of a Do‐it‐yourself Tool
Ritu Khare, Yuan An, ...
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Empowering Healthcare Professionals to Use Databases: Design and User Study of a DIY Tool


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Empowering Healthcare Professionals to Use Databases: Design and User Study of a DIY Tool

  1. 1. Empowering Healthcare Professionals to Use Databases: Design and User Study of a Do‐it‐yourself Tool Ritu Khare, Yuan An, Il‐Yeol S Rit Kh Y A Il Y l Song, Xiaohua T Xi h Tony Hu H Healthcare Industry and Databases A Do‐it‐yourself Tool for Database Evolution Databases have received an extra‐ordinary acceptance in the healthcare industry. Healthcare domain has a dynamic information environment. Databases in this domain are required to continually evolve based on new information requirements provided by healthcare professionals. FORM DESIGN LAYER I want to collect tt ll t information related to an allergy injection such as its site, reaction, etc.. FORM MAPPING LAYER Allergy Injection Allergy Injection Time Healthcare  Industry 1 2 • Dependence on IT  department Databases •I Inaccurate  reflection of user  requirements 3 Data‐entry Forms Data entry Forms Reaction ID Size Reviewer Time Reaction Site • Functional gap  between users and  between users and databases Usability  Issues Given By Site Given By Given By Reaction  Allergy Injection gy j Size Reviewer Size Reviewer Healthcare  professional How can we empower  the healthcare  professionals to design  and evolve databases  based on their  knowledge of data‐entry  f ? forms?  Data‐entry forms are the most popular data gathering tool among healthcare professionals. Forms provide a natural abstraction for databases to these users who have no background in databases. Thus, form templates offer the health‐ care professionals a powerful mode to author information requirements. Results and Contributions User Study with Healthcare Professionals Number of times a participant required assistance Form Replication The form design layer offers functionalities based on the common design patterns found in the healthcare forms. About the Participants P1, P2, and P3 are very comfortable , , y working with computers. P4 and P5 are moderately comfortable. Each has 1‐4 years of work experience. Form Creation 5 3 Task Completion Time in minutes 2 1 1 0 Form Replication 1 0 P1 1% Patient Information P2 P3 P4 18 P5 Text Input Address ? Gender Male Female 49% 18% Database Data‐entry Form Figure 1. Database Evolution using User‐designed Form Templates rated the tool very high in terms of ease of  use and system messages.  Checkboxes Dropdown menu 18% ? Research Findings: Participants … Radiobuttons 14% Name Multi‐formats,     Table widgets etc.  felt empowered and accomplished as they  completed the tasks. who were moderately comfortable with  computers drew forms on paper before  using the tool. performed impromptu  innovations, e.g.,   format switching from textbox to  dropdown. dropdown easily understood the format semantics but  had difficulty distinguishing between a sub‐ category and a field.  10 9 10 9 7 5 5 5 3 P1 P2 To ensure a high‐quality database, 6 evolution quality dimensions were conceptualized: Normalization, Minimalism Correctness Complete Minimalism, Correctness, ness, Persistence and Traceability. The Form Mapping Layer is designed to ensure that the evolved database satisfies these dimensions. Form Creation 0 Field Format Distribution (51 forms) ? Healthcare  Information System Figure 2. The Dual Layered Database Evolution Tool: Using this tool, users can design forms on their own. The tool automatically translates the form components to y p appropriate database elements. 5 Age Time . Given Reaction By ID P3 P4 What’s Next? User study Round 2 with improved training based on the findings in round 1 and revised tasks with advanced features such as units, multi‐formats. Mathematical Proof for validating the 6‐dimensional quality of the generated database. P5 R 1. R. Khare, Y. An, and I.Y. Song. Understanding Deep Web Search Interfaces: A Survey. ACM SIGMOD Record , 2010.  e 2. R. Khare and Y. An. An Empirical Study on Using Hidden Markov Model for Search Interface Segmentation. ACM CIKM ,2009.  f 3. Y. An, P. Dalrymple, M. Rogers, P. Gerrity, J. Horkoff, E. Yu. Collaborative Social Modeling for Designing a Patient Wellness Tracking System in a Nurse‐Managed Healthcare Center. DESRIST 2009.