Since the healthcare sector is gradually adopting the digitalization of its operations, the adoption of EMRs is gradually increasing. An EMR is the ability to input, store and update digital medical records. It involves the personal details of a patient, including diseases, prescriptions, lab results, diseases and prescriptions, vaccines, and therapies.
Preeti Tupsakhare, a healthcare IT strategist and visionary, is on the cusp of improving EMR systems to better serve patients and improve operations. She has been involved in the creation of solutions that are sustainable and stable to meet the needs of the healthcare providers in managing data and providing secure means of communication. Currently, she is one of the prominent leaders in the sphere of healthcare technology, and she is implementing the strategies that aim at increasing the stability and the possibility of EMR systems. This has placed her in a good position in the hearts of many healthcare organizations and institutions that have awarded her for her efforts.
Her research concerning EMR systems, telemedicine, and remote patient monitoring has been published in an esteemed industry journal. EMRs have been one of the key topics that she has addressed with great ideas on their part in enhancing the patient care through enhanced data sharing as well as integration with new technologies and other systems.
Tupsakhare directed projects that improved system capability; the improvements promoted data safety and organizational productivity. The work has led to a significant 25% reduction in the system downtime that enabled the healthcare providers to get uninterrupted access to the patient data. A 20% improvement is achieved in EMR system response times, thus improving clinical processes. This way brings efficiency in the work of the medical staff to be able to spend a lot of time with the patients as opposed to doing paperwork. That’s why concentrating on system scalability allowed her organization to serve more patients while maintaining data quality and speed. This has been made possible through this approach which has seen the organization cut system maintenance and updates cost by an estimated 15% which is a plus in the organization’s bottom line. Efficient use of the EMR system in real time patient data collection helped in reducing manual entry errors by 30% and at the same time, enhanced the data quality in patient records. This initiative helped to align some processes and meet requirements of data protection legislation.
However, integrating different systems from different healthcare facilities was not easy. There were challenges like data silos and data integration that must be solved creatively to ensure that data can easily be transferred from one platform to another. It made it possible for different care givers to access the records of a patient. This addressed a major problem within the organization and defined new standards on how EMR system should be developed. They were instrumental in decreasing system risks and strengthening the general dependability of the frameworks while also increasing security and confidentiality of patients’ data.
In conclusion, the future of EMR systems have been well anticipated by the healthcare IT experts as they are expecting more development in the cloud computing, artificial intelligence, and machine learning. Some people think that with the help of AI analytics, it will be possible to predict patients’ needs and create personalized care plans, and that is why it is important for predictive healthcare. They stress on the importance of open protocols, through which EMR systems should be able to interface with one another and make the overall healthcare network more integrated.
