significance of big data analytics in the healthcare industry
DESCRIPTION
Big data signifies to large volumes of data that may be used to solve problems. It has piqued people's curiosity over the past two decades because of the enormous potential it has. Big data is generated, stored, and analyzed by various public and private sector companies to improve their services. Read More with Us: https://bit.ly/37wlca6 Why Statswork? Plagiarism Free | Unlimited Support | Prompt Turnaround Times | Subject Matter Expertise | Experienced Bio-statisticians & Statisticians | Statistics across Methodologies | Wide Range of Tools & Technologies Supports | Tutoring Services | 24/7 Email Support | Recommended by Universities Contact Us: Website: www.statswork.com Email: [email protected] #UnitedKingdom: +44 1618184707 #India: +91 4446313550 WhatsApp: +91 8754467066TRANSCRIPT
Significance ofBig Data Analytics in the HealthcareIndustryAn Academic presentation by Dr. Nancy Agnes, Head, Technical Operations, Statswork Group www.statswork.comEmail: [email protected]
Healthcare as a big‑data repository
Healthcare Data solutions
Big data to fight cancer
Monitoring patient vitals
Smoother Hospital Administration
Healthcare Intelligence
Fraud Prevention and Detection
Outline
TODAY'S DISCUSSION
Big data signifies large volumes of data that maybe used to solve problems.
It has piqued people's curiosity over the past twodecades because of the enormous potential it has.
Big data is generated, stored, and analyzed byvarious public and private sector companies toimprove their services.
Contd...
INTRODUCTION
Hospital records, patient medical records, medical examination findings, and internetof things devices are examples of big data sources in the healthcare business.
Biomedical research also produces a large amount of big data that is important topublic health.
To obtain useful information from this data, it must be appropriately managed andanalyzed.
Otherwise, finding a solution through studying huge data is akin to looking for a needlein a haystack.
Each stage of processing large data comes with its own set of problems that can onlybe overcome by employing high-end computing solutions for big data analysis.
HEALTHCARE AS A BIG‑DATAREPOSITORY
Healthcare is a multi-faceted system created with theexpress purpose of preventing, diagnosing, and treatinghuman health-related disorders or impairments.
Health experts (physicians or nurses), health facilities(clinics, hospitals for providing medications and otherdiagnosis or treatment technology), and a financialinstitution supporting the first two are the primarycomponents of a healthcare system.
Contd...
The digitalization of all clinical tests and medicalrecords in healthcare systems has become a familiar andgenerally embraced practice nowadays, thanks to theintroduction of computer systems and their potential.
In 2003, the Institute of Medicine, a division of theNational Academies of Sciences, Engineering, andMedicine, adopted the phrase "electronic healthrecords" to symbolize records kept to improve the healthcare sector to benefit patients and doctors.
Contd...
Electronic health records (EHR) are computerized medical recordsfor patients that contain "any information relating to an individual'spast, present, or future physical/mental health or condition thatresides in an electronic system(s).
They are used to capture, transmit, receive, store, retrieve, link, andmanipulate multimedia data for the primary purpose of providinghealthcare and health-related services."
Contd...
HEALTHCARE DATASOLUTIONS
The huge volume of data can be storedmethodically with the aid of big data.
Doctors and other healthcare professionalsmay now make well-informed judgments sincethey have access to a wealth of information.
Of course, the amount of data created willskyrocket, and modern technologies will beable to analyze it rapidly and efficiently.
BIG DATA TO FIGHT CANCERCancer is wreaking havoc on individuals all around theworld.
Big data can aid in the more effective fight against cancer.
Healthcare practitioners will be better able to detect anddiagnose illnesses early on, assign more appropriatemedicines based on a patient's genetic composition, andmanage drug dosages to reduce adverse effects andincrease efficacy.
It will also aid in the mapping of the 3 billion DNA basepairs and give excellent parallelization assistance.
MONITORING PATIENTVITALS
The use of big data makes it simpler formedical employees to work more efficiently.
Aside from patient beds, sensors arecontinually utilized to monitor blood pressure,heartbeat, and respiration rate.
Doctors and healthcare officials are notified assoon as a trend shifts.
With the aid of big data, healthcare managementbecomes a lot easier.
It assists in lowering the cost of care measurement,providing the most remarkable clinical assistance,and managing the at-risk patient group.
It also aids medical professionals in their analysis ofdata from various sources.
It aids healthcare practitioners in determining patientaberrations and the health impacts of therapies.
SMOOTHER HOSPITALADMINISTRATION
The use of big data in healthcare intelligenceapplications is possible.
Creating smart business solutions, hospitals,payers, and healthcare agencies will enhancetheir competitive advantages
HEALTHCARE INTELLIGENCE
FRAUD PREVENTIONAND DETECTION
Big data aids in the prevention of a wide rangeof errors made by health administrators, suchas incorrect dose, incorrect medications, andother human errors.
It will be very beneficial to insurance firms.
They are capable of preventing a broadspectrum of insurance fraud claims
