The term Big data can be referred to as large quantities of information collected digitally, which are, in turn, analyzed by different technologies. Big data analysis of human health has lots of life-saving and positive outcomes. Applying big data to healthcare can potentially help to prevent epidemics, cure disease, or cut down costs with the use of specific health data of a population or individual.
The prolong human health recently is partly due to the change in treatment models driven by data. Collecting data has been made easier with the technologies available compared to the method exploited years back, which is costly and time-consuming.
Big data on Human
Solutions Big data hopes to bring in Human Health
Using data-driven findings, fundamental human questions about human health can be answered in various ways:
One of the classical problems faced is staffing. Fundamental questions such as: how do I know the number of staff to place duty at this particular time? If you put too many teams, then you run the risk of unnecessary adds up for labor costs. Likewise, you can have poor customer satisfaction if the number of the team on duty is low. With the help of big data, you will be able to predict how many workers should be on duty at a particular time. Few instances have been recorded.
Electronic Health Records
This is one of the most widely spread big data applications in medicine. There are records for every patient, which includes: allergies, demographics, laboratory test results, medical histories, etc. there are secure information systems available in which these records are shared and made available both in the private and public sectors. Each record can be modifiable in the sense that doctors and make changes over time with no paperwork required. Warnings and reminders can be triggered to know if the patient has been following the doctor’s orders by tracking prescriptions or when a patient should get a new lab test or checkup.
Informed Strategic Planning
Big data drives motivation for strategic planning. Checkup results can be analyzed by managers among people in different demographic groups, thereby figuring out the factors that have been discouraging people from taking up treatments. For instance, the University of Florida made use of free public health data and Google Maps to prepare heat maps, which targeted multiple problems such as chronic diseases and population growth. The knowledge gained from the data collected and analyzed gives room for proper revision of their delivery strategy, enabling them to add more care units to most of the problematic areas.
Telemedicine has been in existence in the market for over 40 years but has just been able to come into full bloom with the arrival of wearables, smartphones, online video conferences, and wireless devices. The term telemedicine refers to the rendering of medical services in remote areas with the use of technology. It is useful for initial diagnosis, medical education for health professionals, primary consultation, and remote patient monitoring. Also of the uses include telesurgery: with the use of robots, doctors can perform operations at high-speed real-time data delivery without being in the same location with the patient physically. Telemedicine is used by clinicians to give personalized treatment plans to prevent re-admission or being admitted in the first place. Telemedicine helps to reduce costs by keeping patients away from hospitals and improve the quality of services.
Enhancing Patient Engagement
Many consumers, hence potential patients, have an interest in smart devices that take records of their everyday life and activities such as sleeping habits, heart rates permanently. This vital information can be used together with other trackable data to identify potential health risks. For instance, an elevated heart rate and chronic insomnia can signal potential heart disease. With these, humans are directly involved in the monitoring of their health, and incentives can drive them to a healthy lifestyle. The new wearables being produced these days keep track of specific health trends relaying them to the clouds where physicians can see. Asthmatic patients or patients suffering from blood pressure could benefit from it, making them more independent and leads to a reduction in unnecessary visits to the doctor.
Doctors try to avoid patients visiting the hospital to costly to avoid in-house treatment. Smart devices have been produced for this purpose. They collect health data continuously and send this data to the cloud. This information will be sent to the database on the state of health of the general public, which enables doctors to access this data to modify treatments wherever necessary. Take, for instance, if an individual’s blood increases alarmingly, the system will alert the doctor who will take action to reach the patient.
Things are changing day in day out, and big data is already answering most questions out there. Nevertheless, there is still work to be done. With the gradual adoption of new technologies using big data, many more questions will be answered, thereby improving human health, operations, and helps to make better-informed decisions.