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American Hospital Association: The application of AI medical

American Hospital Association: The application of AI medical

American Hospital Association: The application of AI medical 

On the topic of possible use cases for AI medical, in any research report, academic journal paper, or credible industry survey, we will find 'endless', 'endless', 'endless', 'endless' and 'endless' Words like "the" usually appear in the first few sentences. That's because, most experts believe, AI medical has the potential to solve many of the toughest challenges in healthcare."

This market research report from the American Hospital Association Center for Health Innovation provides hospital and health system leaders with a panoramic overview of the field of medical artificial intelligence, including common use cases for artificial intelligence technology. The report identifies use cases for AI medical from four overall areas:

1. The application of AI medical in management

AI technology is tailored to the management tasks of a hospital or health system with the following six characteristics:

The task is to be done manually;

tasks are repetitive;

tasks are transactional;

Tasks consist of limited data elements;

tasks rely on structured data;

The data generated by the task is rich.

Tasks with these common characteristics are inherently administrative tasks, and hospital and health system leaders recognize that AI medical technologies have the potential to transform these tasks. 

According to a recent OptumIQ survey, 43% of surveyed healthcare executives ranked automated business processes such as administrative tasks or customer service as their top choice for investing in AI  medical technology.

Many vendors offer AI platforms and solutions that automate complex administrative processes to increase administrative capacity, reduce personnel costs, and reduce errors. Employees can be reassigned to more complex, higher-level jobs. 

AI-based self-service helps reduce operational costs and improves patient experience through simpler processes and faster service.

Management tasks that AI medical  can change.

In hospitals and health systems, which administrative tasks are best suited to leveraging AI medical  technology for change? 

The expert panel listed the following use cases at the top: 

1. Admission process: Pre-filling electronic forms with information from electronic health record systems (EHR) and billing systems, allowing patients to By verifying or updating the information on the screen, the system will notify all nursing staff and related departments that the patient has arrived and is ready for patient care.

2. Appointment arrangement: When the appointment time provided by the patient and the doctor is the same, the appointment arrangement will be made.

3. Customer service response: 7x24 hours to provide patients with the information they need.

4. Discharge Instructions: Eliminate the standard paper forms and replace them with instructions tailored to the patient’s individual health status and treatment plan, which patients can view online through an app on their smartphone.

5. Recruitment and onboarding protocols: Automate routine and transactional human resource management functions.

6. Licensing Verification: Electronically connect with state licensing agencies, state medical boards, and medical specialty boards to verify clinician qualifications and authority, and match this information to clinician records to flag discrepancies.

7. Patient check-in process: When patients arrive at the clinic according to the appointment time and use the self-service check-in process, the system automatically recognizes them and starts an artificial intelligence chat session, and the content of the session will be automatically entered into the EHR.

8. Prior Authorization: Learn about each patient’s health plan, treatments, and drug outcomes to determine whether certain services or drug treatments require prior authorization, and provide documentation of approval.

9. Quality Assessment Reports: Collect and submit quality assessments by extracting corresponding metrics from patient information, focusing on the assessment metrics needed for individual health plans and value-based reimbursement models, and electronically sending the results to patients and payers. AI eases management burden

A number of vendors currently offer AI technologies that improve these common management tasks. 

Seventy-seven percent of physicians surveyed by ZS Associates said they support using AI as an assistant to handle some of the onerous administrative tasks that take up time that could otherwise be spent with patients.

2. The application of AI medical in finance

Like the administrative tasks found throughout a hospital or health system, many financial tasks share the same characteristics. 

They are manual, repetitive, transactional, with limited data elements and large amounts of structured data. 

This makes many financial tasks ideal targets for the transformational power of AI. Financial tasks AI can change

Which financial tasks can be transformed by AI? The panel believes that AI medical can engage in the following related jobs within the revenue cycle of hospitals and health systems:

1. Billing and collections: Generate accurate and timely bills for patients, reduce costs and increase accounts receivable.

2. Claims management: Edit and adjust claims requirements to clarify claims content and reduce payment delays and rejections.

3. Insurance Eligibility Verification: Improve the patient experience through timely and accurate verification of insurance eligibility and details of coverage and deductibles, assessing a patient’s relative financial responsibility in their healthcare services and determining patient eligibility for financial assistance.

4. Revenue cycle management: Real-time understanding of each patient's diagnosis and treatment expenses according to the type of health plan, improving the accuracy of financial forecasts, and speeding up monthly settlement.

AI simplifies financial operations and increases transparency

There are two areas where AI medical can be applied in healthcare finance: predicting denials and simplifying patient billing. Claims processing errors and high chargeback rates create unnecessary administrative costs, slow payments to physicians, and frustrate patients. AI medical can help with validation and quality review efforts in the background and simplify the entire billing experience for patients and health systems.

3. The application of AI medical operations

Most hospitals and health systems are huge, complex operations with an almost infinite number of operational links, and getting them to function efficiently and work together is an ongoing challenge. 

Artificial intelligence can help solve this challenge. 

To respond to changing demands and avoid business disruption, AI tools and platforms provided by vendors build open, integrated, and more efficient, transparent, and flexible operating models that are more efficient and transparent than traditional systems and flexible. 

Operational tasks that AI can change

The panelists identified four areas in which AI medical technology could be used to optimize healthcare facility operations and improve patient outcomes:

1. Facilities Management: Reduce operating costs through predictive maintenance; optimize capital expenditures using asset risk scores to drive asset replacement decisions; reduce energy costs and efficiently utilize on-site power; predict medical device failures and manage their sensor and network health issues.

2. Inventory management: Track, analyze, and report on all medical supplies, equipment, devices, and technology within the facility to optimize their use and reduce wastage.

3. Supplies management: Predict the supplies and supplies a hospital or health system will need tomorrow, next week, next month, and next year based on historical usage, new market conditions, and patient numbers.

4. Supply chain management: According to the receipt report, assess the specific cost of materials that are not used as expected, and remind relevant staff; provide more accurate cost variance analysis and procedures and inventory demand reports; explain the relationship between supply variance and patient prognosis ; Identify expensive supplies that have been recalled or expired. 

AI medical  helps reduce operating costs

The opportunity for hospitals and health systems to reduce costs and improve outcomes by leveraging AI medical  for more efficient operations is enormous, and the technology is now available.

4. Clinical application of AI medical

Clinically, AI medical  technology can help doctors make better diagnosis and treatment decisions by collaborating with nurses or other clinicians. Artificial intelligence is mainly used clinically in the following two fields:

1. Predictive technology: Helps both physicians and patients determine the level of medical care a patient needs by assessing the patient's medical condition or symptoms. 

AI medical  technology could also help clinicians identify those high-risk patients who could benefit from early or specific interventions to prevent their disease from getting worse to the point where additional treatment would be needed that could have been avoided.

2. Interventional technology: Help clinicians identify and diagnose disease, discomfort, and injury, and recommend customized treatment plans based on the latest evidence-based medicine guidelines and patients' unique medical characteristics (biomarkers, genes, and other clinical indicators). 

AI medical technologies that can be used clinically for both predictive and interventional purposes are still in development. Customized Medicine

In the future, physicians will need to use artificial intelligence technology to keep up with expanding medical knowledge and incorporate individual-specific precision medicine concepts into their practice. 

The shift to precision medicine integrates different patient-specific data, such as environmental influences, lifestyle, and genetic variation. 

AI medical  tools can help healthcare providers and those they serve by enabling them to understand who might benefit from improved services or health activities, and create better health outcomes for individuals and communities.


This market research report provides hospital and health system leaders with possible use cases for  AI medical  technology in four areas: management, finance, operations, and clinical. 

It is evident from these examples provided by the expert panel, as well as the published reports, surveys, articles and studies, that artificial intelligence can provide more effective, efficient and affordable services by creating smarter processes and generating deeper insights smart medical care. 

There are many  AI medical  solutions in use today, some in testing and some in development. 

This report is part of a series of assets developed by the American Heart Association's Center for Health Innovation to better understand the impact of artificial intelligence on healthcare.