Forecast of Outpatient Visits to a Tertiary Eyecare Network in India Using the EyeSmart Electronic Medical Record System
| Autor: | Nareen Molugu, Priyanka Kammari, Ranganath Vadapalli, Gumpili Sai Prashanthi, Anthony Vipin Das |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Leadership and Management
Resource planning Population patient flow Health Informatics forecasting 030204 cardiovascular system & hematology Health records Article 03 medical and health sciences SARIMA 0302 clinical medicine Health Information Management Health care medicine 030212 general & internal medicine Autoregressive integrated moving average Time series education education.field_of_study business.industry Health Policy Electronic medical record medicine.disease health resources Outpatient visits Geography electronic health records Medicine Medical emergency business |
| Zdroj: | Healthcare Volume 9 Issue 6 Healthcare, Vol 9, Iss 749, p 749 (2021) |
| ISSN: | 2227-9032 |
| DOI: | 10.3390/healthcare9060749 |
| Popis: | India is home to 1.3 billion people. The geography and the magnitude of the population present unique challenges in the delivery of healthcare services. The implementation of electronic health records and tools for conducting predictive modeling enables opportunities to explore time series data like patient inflow to the hospital. This study aims to analyze expected outpatient visits to the tertiary eyecare network in India using datasets from a domestically developed electronic medical record system (eyeSmart™) implemented across a large multitier ophthalmology network in India. Demographic information of 3,384,157 patient visits was obtained from eyeSmart EMR from August 2010 to December 2017 across the L.V. Prasad Eye Institute network. Age, gender, date of visit and time status of the patients were selected for analysis. The datapoints for each parameter from the patient visits were modeled using the seasonal autoregressive integrated moving average (SARIMA) modeling. SARIMA (0,0,1)(0,1,7)7 provided the best fit for predicting total outpatient visits. This study describes the prediction method of forecasting outpatient visits to a large eyecare network in India. The results of our model hold the potential to be used to support the decisions of resource planning in the delivery of eyecare services to patients. |
| Databáze: | OpenAIRE |
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