Cross-Hospital Bed Management Abedian S, KazemiSystem H , Riazi H and Bitaraf E. In the Name of God Introduction
• The mismatch between the hospital beds and patients in case of mass-casualty disasters leads to high mortality rate.
3 Introduction
• One solution for the insufficiency of beds is the development of baseline data systems.
• We designed and implemented a nation-wide bed management system for the management of cross-hospital referral of patients in crowded hospitals that may not have enough beds for patient admission.
4 Methods
• We designed a model for transferring bed status in hospitals. • This model is represented as a WSDL standard which can serve as an interface for data collection from Hospital Information System. • Bed data of hospitals can be transferred using a SOAP protocol.
5 Methods
• The main point of this system is direct sending of information from the HIS to SEPAS without user intervention. • The online system which reports any change in the status of beds to health care executives can be very valuable.
6 Results Data Model Design
• A bed-centered approach is practically efficient and economical.
7 Results Data Model Design • The bed status property of the bed data is a key property in the data model for beds. This property indicates whether the bed is free or not.
8 Results Data Model Design • DV_CODED_TEXT from Open EHR Data type.
9 Results Data Model Design
10 Results Data Model Design
Cod Status Description e 1 Occupied Bed is not free. Ready to Bed is free and ready for 2 accept patient .accept patient Bed is not functional 3 Out of Service (e.g. broken). Bed is reserved for a 4 Reserved patient. 11 Results Design Data Model (contd): Code Status Description The patient is being transferred to another ward, but his Patient in 5 acceptance has not yet been transition confirmed by the destination. Bed will be released soon. A patient discharge order is Patient issued by the doctor and the 6 discharge patient is being discharged. Bed will be released soon. 12 Results Web service development
• The data model was designed as a web service using .Net Framework technology. • The web service was launched based on SEPAS Infrastructure
13 Results Bed Management Dashboard Development
• A database and a web site were designed and developed to store bed data from hospitals and to analyze bed data and determine available beds.
14 Results Count of available ICU beds
15 Results Count of available CCU bed
16 Results Updating Hospital Information System
• Bed Web Service Tutorial Standard Document was written and sent to private companies that developed Hospital Information System (HIS) in Iran.
17 Results The system’s benefits:
• A decision-making system is developed for the management of referral patients who need admission in hospitals. • The ratio of bed occupancy for each hospital could be calculated.
18 Results The system’s benefits (contd.): • A decision-making system was developed for adding new beds to meet incremental patient demand especially for ICU and CCU beds. • The status of bed is directly sent from the HIS to SEPAS without any user intervention. • This system has a potential benefit for the development of decision support systems and data-mining to assist future planning.
19 Procedure
HIS Bed code, bed status and ward type will be registered in the Hospital Information System
Activating the trigger Dataware house SEPAS Middleware
Dashboard developing
20 Thanks for your attention
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