Big Data in Healthcare Made Simple
Knowing how to use big data to improve patient care is beneficial for those working in the healthcare industry. Read on to learn more.
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Big data is valuable to the healthcare industry in dozens of ways. Physicians can use specific data about their patients taking a type of medication and their reaction to the medicine. Data can also be used to determine high-risk groups based upon common factors. Knowing how to use big data to improve patient care is beneficial for those working in the healthcare industry.
Precise Preventative Care
Smartphones and smart devices allow patients to track progress and record data to discuss with their physicians to improve their overall health. The use of this technology reflects how big data is changing healthcare and how doctors treat patients. Knowing how active a patient is, and how it reduces symptoms of some common ailments like being overweight, hypertension, and reducing blood sugar levels is beneficial in today’s healthcare system.
Precision in Clinical Studies
Researchers conducting clinical studies can take a group of factors and combine them with multiple statistics to achieve varying results from a single set of statistics by changing only a couple main factors. This may seem confusing, but studying the way that a medication affects a group of patients taking the same medication in combination with other drugs shows potential hazards and increased risk for serious health conditions. Conducting studies in this manner will help pharmaceutical companies to make changes to their medications to prevent serious complications and reduce serious side effects.
Categorized Genomic Data
Genomic data is important to the healthcare industry. Diagnostic tests all have values. These values are vital for making advances in using big data in the healthcare industry to reduce lab testing costs and reducing genome analysis costs. The idea here is to cluster algorithms that are specific to genomic data showing the varying prognoses on a single disease.
Advancements like these help healthcare professionals develop individual courses of treatments while reducing costs for laboratories, patients, and healthcare professionals.
Intricate Life Data
Healthcare providers like Dr. Roger Coletti rely on intricate life data to analyze the living environment of patients to help reduce symptoms of serious illnesses like heart disease. Patients with cardiac illnesses are at a higher risk for stroke and heart attacks when they live lives with high amounts of stress and/or anxiety.
Whether the recommended treatment is a change in living situation or a medication, doctors can use this life data to recommend the proper path for a patient to take to prevent a serious or life-threatening medical event.
Remote Patient Care
Wearable devices have been developed to manage remote patient care. Devices, containing sensors, can monitor patients that are well enough to be discharged by medical staff while recovering at home. This is an important use of big data in healthcare because caregivers and medical staff can be alerted if statistics fall to dangerous levels.
One of the benefits of this is that healthcare facilities and hospitals can open more beds for patients that need them. Those that are improving enough can complete their recovery at home, while still feeling like a nurse is watching over them.
Inventory management is something that hospitals have a lot of trouble with. Noting every single piece of gauze, every roll of medical tape, every pair of medical gloves, or every cotton ball that is used is nearly impossible. Big data can be used to average the amount of supplies used per type of procedure or treatment to help better maintain inventory.
Doctors and private practices can use big data to keep track of medicine samples, office supplies, and information packets to ensure that their supplies are always sufficient. Alerts can be programmed into algorithms to alert the inventory control manager when a supply is getting low so that an order can be placed.
Big data has a purpose, or several purposes, in every industry. It is not new to the healthcare industry; it has just been significantly underused. Now that healthcare professionals can see the benefits of using artificial intelligence, data collection, and wearable technology, their treatment plans are more specific to the patient. This improves patient care, reduces risks for serious medical events, and makes patients feel more secure with their doctor and their treatment plan.
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