This week team SA-Vikas are very excited because all of us are involved in a major exercise – conducting an online preventive maintenance camp for clients who have completed 6 months of SA-HIS usage ; investigating user permissions, audit logs, inventories levels etc, based on a smart checklist to compile data online with the help of the hospital point of contact.
Preventive Maintenance – A Vitality Test for Hospitals
For what we stand, SA-HIS commits a cost effective hospital solution to its clients. Along with our features in the ERP, we ensure that the hospital money is safely handled and accounted for, processes are at par with the industry standards and check for any susceptible data flow. Henceforth, SA-HIS is conducting this software preventive maintenance exercise for our hospital clients. Preventive maintenance (henceforth referred as PM) is a periodic check on the vital non-clinical operations of the hospital.
Why is it important?
For every non clinic department, there is a preset process flow and its related currency flow which are determined at the time of hospital inception and later varying according to user convenience or management decisions. With these variations included, some information is vital for every department. For example the day book entries and in the accounts department, stock taking in stores and hospital pharmacy, billing and cancellation etc. To generalise, we focus on those areas where the hospital software is directly or indirectly involved and hence verify if the entries are done accordingly and the healthcare software is tapped for its benefits.
What are its benefits?
PM checks for symptoms rather than a detailed diagnosis. It’s benefits:
- Single page report covering all the key department information
- Highlight only facts and figures
- Helps in first hand decision making
- Tracks the areas of improvements
- Suggestions for improvements
Is it different from data analytics?
Yes. PM is a vitality test while data analysis is a detailed diagnosis. PM can be an index to the areas which require detailed diagnosis. Data analytics involve detailed data collection, complex tools and analytics specialists. It is delivered on request from the clients.