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Analytics in Healthcare Assignment

Question: How do analytics play a role in health care? Describe a scenario in which analytics could be used to improve patient safety and increase revenue.

Use analytics to determine how the quality of care could be improved, while keeping costs low.

How can analytics be valuable when you want to calculate length of stay (LOS)?

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Solution:

Analytics and its Uses

Abstract
Analytics in Healthcare is remarkable as it will help in developing and covering the aspects which cannot be covered manually. Analytics is taking all the records, data and converting to digitization. In this topic, we will be covering the aspects as to how analytics is helping in healthcare, how analytics is shaping things up to favour the patients. Analytics is also helping the doctors and the medical clinics to reduce the costs etc.
So, we have covered all the aspects which we have discussed here already.

Analytics is an encircling as well as intricate subject that uses arithmetic, data, predictive modelling, and machine learning process to discover significant pattern and information in stored data. (SAS, Analytics what it is and how it matters, (N.D.)).

Analytics plays a significant role in different industries like financial markets, insurance, retail banking, e-commerce, web analytics, healthcare, and pharmaceutical, etc. We will be discussing here the use of analytics in healthcare sectors and how analytics have changed the total course.

Use of analytics in Healthcare
Healthcare industry has produced huge data from keeping the records, observance, and the data of the patient. Standing in present day where everything is digitized so having such huge data needs to be digitized. Analytics helps here in finding the valuable decision by knowledge of the data model and association between two of them with the help of the algorithms. (Archenaa J.A., Anita E.A.Mary, (2015) pg-1)

Big data in health sector refers to the care of patient data's such as the x-ray reports, lab test reports, medical documents of the patient, diet plan, doctor's notes, and the number of doctor and nurses present in the healthcare unit, expiry date of medical and surgical instruments, etc. (Archenaa J.A., Anita E.A.Mary, (2015) pg-2)

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Role of analytics in healthcare

Analytics plays a pivotal role in healthcare; we will be discussing here all the aspects that analytics play in healthcare:

(1) Providing patient care services: The analytics help in providing patient services by providing medicine in the earlier stages of the disease by the help of the previous case history also helps in to have minimum use of drug dose to prevent the side-effects and giving the proper medicationdepending on genetic makeup. These factors help in droppingthe rates of admitting the patient again and thereby decreasing the charges of patients. (Archenaa J.A., Anita E.A.Mary, (2015) pg-2)

(2) Detecting communicable diseases prior: Trying to stop the viral disease before dispersal can be analyzed by looking at the details of the patient in the same geo-location where the disease is being spread. This will help to reduce the spread of the disease, and many patients will be saved. (Archenaa J.A., Anita E.A.Mary, (2015) pg-2)

(3) Checking the quality of the hospital: Checking whether the hospital is set up according to the guidelines provided by the medical council. It also helps to sort out the hospitals and disqualify them if they don't follow the guidelines. (Archenaa J.A., Anita E.A.Mary, (2015) pg-2)

(4) Improving remedyprocess: Modified treatment--- looking at the result of the medicine on the patient continuously and analysis the dose of medicine which can be replaced for the speedy relief. Coming to an analysis of records by the patient who has previously sufferedthe same disease helps the doctor in treating the other patients effectively.(Archenaa J.A., Anita E.A.Mary, (2015) pg-2)

The scenario in which analytics could improve patient safety and increase the revenue through different processes, an example of a situation where analytics helped out it is a case of Operating room bottlenecks. The University of Chicago Medical Centre (UCMC) uses prognostic analysis to face the trouble of operating room problems. Such problems are irritating for the doctors, patients and their near ones of the patients and they are reckless since operating rooms are very costly to run. The problems are very difficult to stop, with so many people and groups working on individual surgical cases. (Lindeman T.M., (2018))

UCMC mixed real-time facts with difficult event algorithm to enhance the flow of the work, create a notification and rationalize the handoffs from one group to another group for each action of operating rooms process. The attempttooknearly 15% to 20% (four minutes per room), whichsave the healthcare unitnearabout $600,000 yearly; The new arrangement increased the transparency of the factors of the delay and process toget involved in real time and help the things to be normal(Lindeman T.M., (2018))

So, the analytics techniques helped massively in healthcare and increased the revenue for the hospital. Analytics solves the problem the healthcare facilities faces and try to come out with some solution which will help them. (Lindeman T.M., (2018))

Having analyzed the importance of analytics in the health care sector now, we will be analyzing as to how analytics can determine how care can be improved while doing it at a minimal cost.

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The first step would be doing comparative research. Here the research would be to decide more medicallyright and to be marginal with the cost to treat and diagnose the patients. (Raghupathi WR, Raghupathi VR, (Feb 2014))

Research and Development: predict modelling to reduce the attention and churn outthinner and faster, more besieged research in the medicine and equipment, we can also use statistical tool and algorithms to improve the infrastructure of the clinic to better treatment to individual patients which reduces failures for the healthcare units. (Raghupathi WR, Raghupathi VR, (Feb 2014))

Public Health: Assessing diseases pattern and pursuingsymptomsdisruption and conduct to make good public healthobservation and fast answer. Growth of extra targeted injection and influencing huge amount of data into facts which are needed to give assistance, find and stopdanger especially for a larger population. (Raghupathi WR, Raghupathi VR, (Feb 2014))

Evidence-based medicine: Joining and assessinga number ofplanned and unplannedrecords, monetary and functionalrecords, and medical records match patients with treatments and predict the results whether the patient is at risk or not for admission in the hospital which reduces the cost (Raghupathi WR, Raghupathi VR (Feb 2014))

Pre-judgement of misinterpreted analysis: Increasing analyzing of total claim requirements reduces con, squander, and cruelty.(Raghupathi WR, Raghupathi VR, (Feb 2014))

Device remote monitoring: Capture and analyze in real times large volumes of fast-moving data from the hospital in-home devices for safety monitoring. (Raghupathi WR, Raghupathi VR, (Feb 2014))

So, these are the ways which can be applied by analytics to increase the value of care in the low costs.

The analytics also help the healthcare sectors to determine how the length of stay (LOS) can be calculated. Analytics, as we all know, is the digital mechanism where all the records are being digitized so having these data helps the patients determine their length of stay in the hospital.

There are several factors which we can look out is that analytics calculates out all the possibilities which can be seen that if a person stays for a longer period in the hospital. So if a patient stays for a longer time in the hospital, the hospital management has to bear the extra cost which is an average of more than $4000. So, they take care of and recover the patients as fast as they can do to recover them. The hospital can use analytics where they can measure out all the possibilities where they can calculate all the possibilities of handling the patients. Some measures which they can take is to Lease/secure SNF beds, CM/SW staffing surge, increase discharge rates by 20%-40% per week, Setting up of clinicalrequirement upon admitting, havingeverydayliving rounds. (Dr. Pezzani, Griesbach PG, (N.D.))

These factors will be very helpful as it will stop the LOS of the healthcare unit. So analytics will be helpful in determining these factors.

A few analytics examples can be given like the case of Cleveland Clinic. In the Cleveland Clinic, the management wanted to find a way where they can reduce the length of the stay for the patients. The analystuses analytics to anticipate which subject would recoup at home and which patients not. The clinic pulled extensive research and made a validating model where all the possibilities were noted down, and there was a propensity score which helped them, and they were successful in looking after the needs of patients, decreasing length of stay, driving down costs, etc. (Lindeman T.M., (2018))

So before concluding the topic that analytics helped healthcare sector to grow and also helping the doctor, patients and their family members where they are being informed about the possibilities of all the diseases and analytics is also cost-effective for both of them.

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