Task 1 Healthcare Compliance and Coding Management

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Applications Of AI In Medicine

AI in medicine has enormous potential in everything. It is useful in analyzingdata related to various health conditions to surgery and new drug development.The following examples showcase the current trend in artificial intelligenceapplication in medicine.Photo by Bernard Marr on Forbes

Data Analysis Using Medical Artificial Intelligence

One of the main challenges of today’s medicine is the overwhelming amount ofclinical data. Researchers are predicting that by 2020, the healthcare datawill double approximately every 73 days. At the same time, around 80% of thatdata is unstructured. This is where artificial intelligence becomesindispensable. Moreover, AI can read the information and provide a cognitivesummary of patients’ records. In 2016, IBM Watson AI technology was able torapidly cross-reference 20 million oncology records. Also, it correctlydiagnosed a rare leukemia condition in a patient.

AI In Medicine Diagnostics

AI in medicine is being used to diagnose patients suffering from specificdiseases. Besides, AI is capable of making better and faster diagnoses thanmedical professionals. Google DeepMind’s neural networks managed to matchthe accuracy of medical experts in diagnosing 50 sight-threatening eyediseases. Recently, doctors have started turning to AI to more efficientlydiagnose cancer patients.Photo by Naveen Joshi on Allerin

Radiology And Medical Artificial Intelligence

Radiology is one of the fields that has been gaining significant attention inmedical AI in the past few years. Besides, AI-powered applications are beingregularly used in medical imaging to achieve better accuracy. Additionally,the ability of medical AI to interpret results helps detect small changes inimages that humans might accidentally miss. In a recent Stanford study,scientists created an AI algorithm that detected pneumonia better thanradiologists involved in the trial.

AI Medicine Drug Discovery

Many pharmaceutical companies like Johnson & Johnson, Pfizer, and Novartisare currently using artificial intelligence in drug discovery. Moreover, IBMis already collaborating with three out of five leading pharmaceuticals inthe use of its Watson Health technology. AI significantly cuts costs and timelines related to discovering andcommercializing drugs. This process takes an average of 12 years. Not havinglarge enough patient data sets has played a role in the increased costs ofdrug development as well. Besides, AI’s ability to analyze extensive amountsof patient data to identify treatment options is a major advantage for thepharmaceutical industry.Â

Virtual Nursing Assistants In Artificial Intelligence Medicine

Virtual nursing assistants can be of great use to patients when it comes totheir everyday routines. Just like traditional nurses, they can remindpatients to take medications, schedule their medical appointments, and getanswers to health-related questions. Other AI applications in assistingpatients include chatbots, computers program that answers questions online.Chatbots can help patients schedule follow-up appointments and assist themwith the billing process, for example. Apps like GreatCall combine AI withwearable devices to compile data on the patients’ health. Furthermore, manyapps such as VirtualNurse include telenurses and teledocs that also providefirst aid instructions to patients.

Electronic Health Records In AI Medicine

Using an AI tool that scans electronic health records enables professionals toquite accurately predict the course of a disease. However, understanding howto manage differences between patients is of crucial importance in thisprocess. Besides, patients suffering from the same disease may have differentsymptoms, progress at various rates, and respond differently to the sametherapy. In 2018, using neuroimaging and other data, a Canadian team trained amachine-learning algorithm to predict the early stages of Alzheimer’s.Photo by Christina Sarich on Natural Society

Health Care Efficiency

According to the RAND Corporation, 2005, “efficiency savings result when thesame work is performed with fewer resources[3].” As hospitals and doctors’offices increase their use of health informatics, potential efficiency savingsfor inpatient and outpatient care can average in the tens of billions ofdollars per year. Healthcare organizations see the largest savings when theyare able to reduce the length of hospital stays and are able to enact moreefficient drug utilization.

Medications Administration

According to the National Center for Biotechnology Information, medicationerrors harm nearly 1.5 million patients in this country each year [4]. Findingways to reduce or eliminate these errors are a top priority for healthcareproviders.The use of information technology like “drug-dispensing robots and automaticdispensing cabinets,” along with pharmacist oversight, can lead to thereduction of medication errors [4]. This technology can come in the form ofcomputerized physician order entry, automated dispensing and electronicmedication reconciliation.

Electronic Health Records

Over the past few decades, healthcare providers have been converting paperhealth records to electronic health records. The idea is that information in acomputer can be accessed faster and used to collate data for better analysisthan paper records [5]. Also, with such vast amounts of information indatabases, this information may be collected, analyzed and trended so doctorscan better understand the disease status of their patients.Electronic health records allow for a more seamless flow of information, whichcan transform the way care is delivered. With a more complete health record attheir disposal, providers improve their ability to make intelligent treatmentdecisions quickly and safely.The goal of efficient healthcare is not new; it’s been around as long aspatients have been visiting hospitals. but the use of information technologymake healthcare more efficient and effective is only limited by the capacityof our minds and resources. The use of health informatics can increase patientsafety in a number of ways. By using electronic health records to make theprocess of prescribing and administering medications more accurate, wepotentially reduce the numbers of patients harmed by medication errors. HealthInformatics is a relatively new field that is increasing the quality ofpatient care and reducing costs associated with healthcare.


…and Payment Collection Step 3. Rooming and Measuring Vital Signs PatientExamination and Documentation Step 4. Patient Checkout Step 5. Post-Visit:Coding and Billing Post-Visit: Reviewing Test Results Coding and Reimbursementin Electronic Health Records Computer-Assisted Coding Clinical Tools in theElectronic Health Record Decision-Support Tools Tracking and MonitoringPatient Care Screening for Illness or Disease Identifying at-Risk PatientsManaging Patients with Chronic Diseases Improving the Quality and Safety ofPatient Care with Evidence-Based Guidelines E-Prescribing and ElectronicHealth Records Keeping Current with Electronic Drug Databases IncreasingPrescription Safety Saving Time and Money LEARNING OUTCOMES After completingthis chapter, you will be able to define key terms and: 1. 2. 3. 4. 5. 6.7. 8. 9. List the five steps of the office visit workflow in a physicianoffice. Discuss the advantages of pre-visit scheduling and informationcollection for patients and office staff. Describe the process of electroniccheck-in. Explain how electronic health records make documenting patient examsmore efficient. Explain what occurs during patient checkout. Explain what twoevents take place during the post-visit step of the visit workflow. Describethe advantages of computer-assisted coding. List three decision-support toolsthe EHRs contain to provide patients with safe and effective health care. Listfour important safety checks……Words: 12974 – Pages: 52Premium Essay

Task 1 Healthcare Compliance and Coding Management

…Healthcare Compliance and Coding Management Task 1 A. Discuss how you wouldcarry out your various responsibilities as a coding manager by doing thefollowing: A1. Analyze the job description for an inpatient coding positionManagers should be aware of skill sets needed for an HIIM workforce, andrecruit qualified staff to fulfill new job roles. Manager should review thejob description each time they have a recruitment opportunity. They need toensure the description outlines the work to be performed. It should bespecific to the role of Inpatient Coder. The job description needs to includethe position requirements, purpose, and all functions. It should also list thequalifications needed to be hired and successful. Sections of the descriptionshould also include education level, years of experience, specific knowledgeneeded, and any specific proficiency needed for the job. Be specific, beforeposting a job. Specification helps to minimize the wasted time and effort ofthe interviewer and interviewee. One of the Inpatient coder’s responsibilitieswould be reviewing all patient files for accuracy and recording into thecomputer; therefore a couple of key qualifications that should be listed wouldbe, attention to detail and has medical terminology background. (Wilson,Jacqueline) Job descriptions are used by the manager to clearly set employeeexpectations for job performance. A2. Develop goals for a clinical……Words: 1760 – Pages: 8Premium Essay

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