Health Data and Information

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1 Health Data Requirements
In the recent past, clinical and health research fields have utilized the use of health data management systems. This is mainly attributed to the increase in technological advancement, the importance of data analytics in guiding healthcare workers on which decisions to make (Ismail et al., 2020). The disruptive incidents in the healthcare field have led to huge data files and the Internet of Things (IoT) to be connected to the smart health information system that will enable healthcare providers to come up with appropriate diagnoses based on past health history. In this study, we seek to find out the fundamental requirements needed to incorporate the maximum utilization of health data in making decisions (McKenzie & Clark, 2009).
For the health data collected to be utilized to the maximum, a secure and efficient system has to be in place to ensure the data collected is being used via a system that will enable healthcare workers (physicians and nurses) to get access to the design and upload any recent records and to analyze as well to make informed decisions on the diagnosis, prognoses and public insights (Raghupathi & Raghupathi, 2014). The evolution of health data management has changed from analogue methods such as books and paper charts to digital techniques such as Electronic Health Records (EHR's). The use of digital approaches has caused a paradigm shift in how data management has been taken care of and those with the notion that digital methods were not adaptable to biomedical care and research.
The adoption of digital methods such as EHR's has improved the efficiency, efficacy, and effectiveness of the health care provider. Health care workers can provide more services, thus enhancing the health care quality. The quality of patient care has been improved due to the easy access to data in real-time (King et al., 2014). According to Ismail et al., (2020), there has being a change in health data management definition over the years. The recent report on health data management is the use of advanced technologies in offering healthcare services and thus an increase in quality of healthcare services.
The requirements needed in health data management are up-to-date healthcare record, security, sharing, participation of the patient, real-time data, privacy and public insights (Ismail et al., 2020). In terms of medical record time, the data should identify the patient’s demographics and the history of health situations. Other information that can be included is any ongoing medication, laboratory tests and radiology results, if any. Another requirement is that the data should be real-time data that will enhance healthcare quality through easy access to quality data. Patient participation is another essential requirement in health data management. Since the hospitals are the custodians of the data, patients should be allowed access to and monitor the medical data to build trust in the health data management systems.
Sharing of medical records of a patient's treatment is a crucial requirement since the patient might seek medical services in a different health care facility. This will contribute significantly to medical provi...