In Today's Risk Adjustment Scenario, HCC Coding and NLP delivers Accuracy, Efficiency, and Control

Value-based care has evolved as an alternative to the conventional fee-for-service paradigm, emphasizing quality above quantity. Consequently, high-tech Risk Adjustment Solutions are becoming increasingly popular among health plans for premiums and overall financial performance, prompting them to seek approaches to improve the effectiveness and ROI of their risk adjustment plans.

Value-based care (also known as Accountable Care and Population Health Management) has gained popularity, owing to the fact that the value-based compensation model incentivizes clinicians to deliver the finest treatment at the lowest possible cost. As the term implies, the patients are getting more value for the money.

Risk Adjustment Solutions employ Hierarchical Condition Category (HCC Coding) and Natural Language Processing (NLP) to formulate a complete Risk Adjustment action plan that engages both clinicians and patients in a diverse range of value-based insurance coverage initiatives, such as ACOs, Direct Contracting (CMS), Comprehensive Primary Care Plus (CPC+), and many others.

The Use of HCC Coding Induces a Reimbursement Transition

HCC Coding is critical to the financial viability of a healthcare organization. When HCC codes are properly recorded, they generate an accurate representation of a patient's condition. Furthermore, the application of HCCs frequently results in appropriately increased remuneration to meet the expenses of providing care under value-based policies.

By using a patient's diagnostic coding history, the HCC Coding procedure generates an RAF score for a patient that indicates his or her health condition. This score is then multiplied by a base rate under Medicare Advantage to determine the Per Member Per Month (PMPM) capitated compensation for the near term of coverage. The fixed cost is estimated when this is averaged throughout an entire payer-defined demographic.

Enhancing Risk Adjustment With NLP

Natural language processing (NLP) can interpret unstructured patient information in useful medical information to assist healthcare organizations in efficiently identifying risk, care gaps, and improving both qualities of care and economic performance. Without a question, NLP-enabled new tech is becoming a valuable tool for achieving risk-adjustment success.

NLP-aided risk stratification adds significant value since it allows coders to target on the suitable members first and then navigate their way down the priority list.

NLP technology evolves coder efficiency as well as quality. The first pass review is performed by NLP, which provides coders with a collection of diagnosis codes to evaluate while decreasing the quantity of data they must first submit.

Through enhanced chase targeting and automated data extraction, NLP can expedite the data recovery procedure, eliminating or dramatically reducing chart chase difficulties and saving both sides time, expense, and irritation.

How To Select A Population Health Management Company

Population HealthManagement (PHM) is a core element of value-based care delivery, which strives to enhance the quality of patient care, satisfy care recipients, encourage community health, and minimize per capita costs by improving the health of patient groups.

For this reason, the Population Health Management Platform is quickly becoming a valuable trait for both small and large-scale healthcare organizations. However, Healthcare Organizations that participate in pay-for-performance models or accountable care contracts face significant risks. Health professionals clearly cannot afford to make substantial investments in a population health solution that does not meet their needs.

Hiring a population health management company that can be a reliable ally in accomplishment necessitates a rigorous study of the market and extensive understanding of the organization's own finances, priorities, strengths, and shortcomings.

To ensure that companies analyze the relevant solutions that support their existing and anticipated initiatives, providers should know precisely what software applications are essential to examine each item on their action plan.  

Population Health Management Platforms, whether they work as a single-player mode or incorporated into an Electronic Health Records (EHRs), should support some or all of the following functions:

Data Interconnectivity

Population Health Management entails the integration of various data sources to create accurate profiles of patients and the net number of medical services they get. A robust PHM Platform to maintain Pop Health is customizable in terms of data gathering and helping provider companies to make sense of it.

It maintains data feeds consistently and completes data cleaning so the second vertical's functionalities (data analysis) can be accomplished.

Data analytics

Vendors should include analytics capabilities that help providers to assign individuals to specific practitioners, manage internal objectives and criteria, as well as monitor and evaluate quality and performance indicators.

Reporting and Graphics

Dashboards, charts, and live visualizations should follow globally accepted norms, such as uniform use of units, chart styles, and colors, exact labeling of axes and data components, and the ability to drill down into the datasets underlying the chart or report.

Care Management

Care management platforms should prioritize collaboration and communication across diverse provider groups and patient engagement technologies.

Upgrades and Improvements

Companies should be transparent about the expenses associated with integrating updated models, transferring data between models, or offering on-site support workers during an update.

Training and Management

Companies must clearly state what they provide in terms of installation assistance, personnel training, and troubleshooting. Providers can sometimes adopt cloud-based or as-a-service options, which often need less initial cost in the setup process.

 

Three Tips for Better Risk Adjustment HCC Coding

Risk Adjustment (RA) helps to ensure that the recipients' health issues, insurance status, and demographics in a Medicare Advantage and Affordable Care Act plan are consistently recorded and health insurers that manage those recipients are fairly reimbursed for that care delivery.

Risk Adjustment Solutions assist in increasing clinical and financial performance by ensuring that each individual's risk profile accurately reflects their underlying health condition. A proactive RA Solution significantly impacts the health plans and their participants.

Risk Adjustment Solution Foster Suitably Financed, Quality Care:

The risk adjustment data analysis method can reduce administrative inefficiency while enhancing revenue for both the health plans and insurers that participate in increasingly dominant value-based contracts.

Risk Adjustment Analytics' clinically derived metrics integrate enhanced detecting and prioritizing, risk predictive modeling, and coding gap remediation to give health insurers a complete Risk Adjustment Solution.

Three Suggestions for Effective Risk Adjustment HCC Coding:

More payers depend on Hierarchical Condition Category (HCC) Coding to accurately measure the disease severity of patient groups. From the financial aspect, health conditions verified late or not at all actually disqualify the plan of the crucial incremental financing.

Skeptical clinicians may anticipate that HCC coding will need more time ticking checkboxes, with an increased possibility of payment reduction. Researchers discovered, however, that by implementing a simple workflow modification and toolset, clinicians can verify that their diagnostic coding is driven by HCCs and streamlined for payer risk adjustment assessments.

ICD-10 CM codes (International Classification of Diseases, Tenth Revision, Clinical Modification) are a component of a framework used by clinicians and other healthcare providers in the United States to categorize and script all diagnoses, clinical signs, and processes documented in connection with hospital care.

Choosing ICD-10 codes that correspond to HCC Coding will generate a more realistic assessment of the patient's health situation and may positively impact reimbursement.

Here are three crucial aspects to keep in mind while choosing codes:

1. Select not just the diagnostic codes that indicate why the patient was treated, but also those codes that show any chronic diseases that influenced the decision for treatment.

2. If a patient has a chronic underlying health problem with a manifestation or complications that has its own code, utilize that code instead of an unidentifiable code.

3. Submitting diagnostic codes yearly is significant. Since risk scores are updated each year, practitioners must submit a patient's eligibility diagnostic report every year and preferably the first time they see the patient in the calendar year.

 

Medicare Advantage Risk Adjustment Recommendations For 2022

 A Risk adjustment Solution estimates healthcare costs that compare a person's health to a number known as a risk score. The "risk" to a health insurance plan covering members with high projected healthcare usage is "adjusted" by covering those with low estimated healthcare costs.

Risk adjustment is a program in which health insurance providers participate and are reimbursed for managing individuals' healthcare requirements depending on their diagnosis.

Since Risk Adjustment programs are devised and maintained by government organizations that exist to serve all entitled members of the general public, a health insurance provider cannot prejudice or cover just the members of a specific demographic with a restricted range of predicted healthcare expenditures. The case mix of both healthy and critical patients and the cost-sharing of spending shared by all members is intended to enable access to quality care regardless of medical condition or history.

Medicare Advantage Plans

Apart from the government's regular Medicare and Medicaid programs, Medicare enrollees have the option of getting services through a variety of private insurance plans. These private insurance alternatives are known as Medicare Advantage (MA) Plans. They are a component of Medicare Part C. MA is a method of obtaining medical services and Medicare coverage.

Recommendation for Medicare Advantage Risk Adjustment in 2022

Considering the critical stay-at-home instructions and regulations throughout 2020, Medicare Advantage providers are now confronted with the issue of insufficient prospects to accumulate encounter data to do comprehensive risk adjustment equations. Concerned about the impact of risk adjustment scores on consumer premiums, benefits packages, and patient out-of-pocket costs, the Alliance of Community Health Plans (ACHP) has requested that CMS amend the MA risk adjustment criteria for the year 2022.

ACHP recommends CMS to permit MA entities to use a 24-month look-back timeframe to enhance 2020 statistics for the assessment of 2021 risk scores. ACHP argues that it allows Medicare Advantage Plans to avoid the detrimental impact of under-risk-adjusting. 

ACHP suggests that CMS create a replicable strategy for 2022 since recent increases in COVID-19 show that the healthcare industry will be under pressure long beyond 2021.

ACHP anticipates that even though COVID-19 vaccination is now available in 2021, there will be a time lag between its supply and the return to regular activities. Considering the fact that vaccine distribution efforts are regulated on a state-by-state basis, it is quite probable that recipients, particularly the most vulnerable, will be unwilling to shift to pre-pandemic standards of care instantly. 

 

Things You Need To Know About HCC Coding, Risk Adjustment, And Physician Income

A suitable and sufficient Risk Adjustment Solution enables healthcare professionals to harness their statistical information across the data flow and boost their retrospective and prospective operations. It also aids in ensuring that reimbursement is both appropriate and cost-effective.

A successful Risk Adjustment Solution stipulates that the recipients' health issues, health outcomes, and demographics in a Medicare Advantage (MA) and Affordable Care Act (ACA) program are cautiously recorded. The healthcare practitioner who administers those recipients is sufficiently reimbursed for the monitoring and management.

Hierarchical Condition Categories (HCC), a Risk Adjustment (RA) model that has been here for quite a while now, had gained much traction when MA Plans began requiring RAF scores for financial compensation. Medicare is advocating for additional value-based initiatives to lower net costs and enhance the quality of treatment for Medicare beneficiaries. Healthcare payers are also cutting costs after adopting value-based reimbursement strategies.

Understanding HCC Coding:

Centers for Medicare and Medicaid Services (CMS) utilizes HCC Coding to compensate Medicare Advantage plans depending on their enrollees' healthiness. It accurately reimburses for patients' estimated cost spending by altering reimbursements according to demographic data and patient health conditions. The risk evaluation data is based on diagnostic data derived from claims and health records gathered by physician offices,. inpatient and outpatient visits, and clinical settings.

The Secret of Success Is Accuracy

According to the CMS-HCC model, physicians must accurately report accurately on each patient's risk adjustment diagnosis. In other words, each individual diagnosis generates the RAF, and the score is used to assess payers coverage and potential future spending associated with each patient.

HCC Coding Solution:

1)      The HCC Coding Solution helps to verify patients' HCC grading status, which, when correctly documented, will enhance the patient population's aggregate RAF score and represent premium funds.

2)      It detects patients that have HCC coding potential while they are in the physician’s exam room

3)      It verifies that practitioners receive a complete amount of income owed to them for diagnoses and delivering care.

Physician’s Income:

Medicare Advantage providers quite often offer commercial plans, and it is arguable how closely MA physician income matches Traditional Medicare (TM) rates vs. negotiated commercial rates. However, the TM's administratively established rates serve as a critical foundation for physician compensation under the MA system, even while MA insurers successfully lower costs for other medical services that TM overspends. 

Changes in policy that shift the MA program toward specific premium support alternatives might significantly impact how physicians and some other practitioners are compensated.

 

Top Notch Population Health Management Services In USA

 Population Health Management Platform is progressively becoming a must-have technique for both small and large-scale healthcare institutions. From primary care settings held accountable for preventative care to inpatient hospitals facing fines for 30-day rehospitalization, recognizing risk trajectories and intervening preemptively to avert costly health outcomes are critical in a value-based healthcare system.

Healthcare institutions in the USA are spending billions of dollars in deep learning technologies and big data tools that provide predictive signals, clinical decision-making support, patient liaison management functionality, and other advanced features to sustain the Triple Aim and to remain abreast of soaring risks while reducing the care gap.

The situation is dire for those healthcare institutions that are engaged in pay-for-performance frameworks or value-based reimbursement contracts. Care providers obviously cannot easily overspend on a population health strategy that fails to meet their expectations.

Picking a Population Health Management Service that could become a reliable collaborator in progress necessitates thorough market research and a critical review of the institution's own finances, aspirations, functionality, and vulnerabilities.

The KLAS Ranking Research

Switching to value-based premiums also demands coordination and assistance from the service providers. According to a document “Partnering and Guidance: The X-Factors to PHM Success” produced by academics, "some providers have risen to the challenge, while others have failed as a result of mergers or scaling initiatives,"

According to the KLAS ranking research, numerous other health management professionals have suffered a considerable decrease in overall service quality and user satisfaction. The KLAS analysts also pointed out that in the fastest-growing areas, such as population health management, provider organizations need suppliers who thrive at collaboration while being flexible and proactive enough to guide customers through the market's transition.

THE Substantial Shift in Service

According to a Frost & Sullivan analysis, Population health management operators are incorporating artificial intelligence and machine learning to boost predictive modeling, automated risk stratification, and the capacity to identify individuals who may benefit from precise interventions. To meet their goals, population health management service providers are upgrading their own Population Health Management Platforms through software innovations and workflow adjustments.

Conclusion

Top-tier Population Health Management Services in the United States prioritizes the seamless integration of PHM technology to bridge care gaps by providing healthcare organizations and practitioners with real-time access to track and manage patients' issues. 

Data from laboratories, billing, electronic health records, and prescriptions are interconnected in Population Health Management Platforms, allowing physicians to swiftly analyze unserved individual requirements and documentation or service quality shortfalls.

 

How To Get Started With Population Health Management Platform?

 The healthcare sector has evolved significantly, and so has the concept of pop health. While patient population outcome statistics continue to be vital to the paradigm, the introduction of data mining tools, as well as the incorporation of a performance-based financial aspect, has broadened the Population Health Management (PHM) conceptual framework.

Healthcare practitioners are now convinced that the Population Health Management Platform can assist them in determining how to make data-driven evidence-based decisions. This platform assists them in deciding how to effectively and efficiently allocate resources across various healthcare settings to boost systematic efforts to coordinate care at reduced costs.

Safe and effective PHM is likely to result in better and more consistent patient outcomes if a data-driven strategy is used proactively. Healthcare providers are increasingly acknowledging that the Population Health Management Platform is a key element of value-based care delivery, which strives to enhance the quality of medical care, patients’ experience, promote community health, and minimize healthcare costs.

Starting With Population Health Management Platform

The steps involve leveraging big data analytics to construct patient statistics, stratifying individuals, monitoring and evaluating both individual and group data to ensure quality and compliance. The initial stage of PHM is often the compilation of critical and essential demographic data, claims data, socioeconomic data, and Electronic Health Records (EHRs) about individuals assigned to the healthcare practitioners to improve patient care.

The integration of Population Health Management as part of the EHRs Solutions is the first step in developing an efficient Population Health Management Platform. Many providers have preferred to leverage their EHRs' pre-existing configurations or modify their EHRs to match the requirements of their PHM platform.

Accountable Care Organizations (ACOs) are reinvigorating their on-the-ground population health management capabilities by hiring care providers such as nursing staff and licensed practical nurses to effectively manage regular medical responsibilities such as responding to after-hours helplines, performing annual checkups or other preventive services, and assisting patients in scheduling an appointment with consultants or interpersonal health providers.

According to studies, ACOs are investing in a wide range of health IT solutions, such as Certified EHRs Solutions, database systems, patient portals, telemedicine, and health information exchange to identify embedded analytics features.

Developers of health IT systems offer risk adjustment tools and clinical decision support systems powered by cutting-edge natural language processing (NLP), semantic data processing, and cloud-based technologies. These cutting-edge technologies can precisely classify populations for efficient management, perform predictive analytics, encourage clinicians to take proactive measures and make it much easier to communicate information and coordinate medical intervention at the right time.

Population Health Management Platform will undoubtedly serve as a baseline for the vast number of prospective healthcare reform measures.

The Impact Of AI Engine In The Industry Of Healthcare In USA

AI is already having an influence on the healthcare industry in the United States. From medical and psychiatric management to risk assessment, there is practically unlimited potential to use AI Engines to deliver more accurate, cost-effective, and impactful interventions at the right time in a medical situation. In the future, AI will surely be required to assist clinical and other applications that result in more perceptive, effective treatment and operational settings.

Artificial Intelligence in HealthCare makes medical information more accessible, relevant, and accurate. Due to the rising complexity and diversity of data in healthcare, practitioners are increasingly relying on Artificial Intelligence. Several kinds of AI Engines are already being used by payers, care providers, biotechnology, and pharmaceutical companies. Diagnosis and treatment indications, patient involvement, compliance, and administrative duties are the most common types of AI applications in the medical field.

Healthcare solutions that save money and boost efficiency are becoming increasingly popular, due to the usage of AI in many of them. According to a recent Frost & Sullivan study, Artificial Intelligence & Cognitive Computing Systems in Healthcare, the industry earned $633.8 million in 2014 and is expected to reach $6,662.2 million in 2021 at an annual compound growth rate of 40%.

In the United States, Artificial Intelligence in HealthCare is starting to emerge as a game-changer in a variety of roles. Let's have a look at some of the implications of AI Engines in the healthcare industry.

Pharmaceutical Research & Drug Development

AI-based methodologies have been created to uncover new possible remedies from big datasets of research data on patented drugs, which might then be modified to combat crucial dangers such as Infectious diseases. It has the potential to increase the productivity and success rate of drug synthesis, thus speeding up the process of bringing new medications to market in response to lethal disease challenges.

Futuristic Radiology Tools

Recent examples of enhanced tumor identification on MRIs and CTs demonstrated significant advances toward novel cancer prevention prospects. Moreover, in the United States, a manufacturer has already acquired FDA approval for an AI-powered solution to analyze and decode Cardiac MRI scans.

Identifying Patient Risks

AI-based technologies are efficiently speeding diagnostic and therapeutic operations by extracting stockpiles of structured and unstructured health data. This assists healthcare providers and healthcare systems in clinical decision-making by offering real-time, data-driven insights.

Non-Clinical Procedures

AI helps healthcare organizations in saving time and money by automating organizational activities. AI-based algorithms enable health plans to identify and reduce incorrect billing practices to optimize member billing. Likewise, Conversational AI is helping to improve the customer experience.

Maximizing Annual Wellness Visits with Telehealth

Centers for Medicare & Medicaid Services (CMS) quickly increased access to Telehealth services amid the COVID-19 pandemic. CMS has relaxed rules that prevent which patients are eligible for Telehealth services. The blanket waiver removes any geographical constraints and negates the need for the patient to commute to an issuing facility, for example, a health center. The patient can be anywhere in the homeland, even their own residence.

In 2020, CMS approved enhanced telehealth services coverage prospects under the 1135 exemption legislation and the Coronavirus Preparedness and Response Supplemental Appropriations Act (CPRSAA). This significant transition permitted previously prohibited treatments, including psychological counseling, mental health evaluations, and proactive medical checks, to be delivered at the residence.

Within eight months, approximately 68 million Telehealth consultations were managed, representing a 2,700% growth. Online check-in options or quick check-ins for new or existing sick people were operational over the telephone, by using video calls, or by giving access to patient portals.

Telehealth protects patients and caregivers from viral replication, minimizes the need for protective gear, and creates a user experience to preserve the patient-provider connection and confidence. Annual Wellness Visits (AWV) through telehealth also enable healthcare practitioners to pre-emptively involve patients and assist them in overcoming hazardous health practices. 

Telemedicine Is an Essential Part of AWV

Telemedicine makes it easier to identify and manage care requirements before they become severe enough to need a patient's visit to an in-person medical facility, for instance, an emergency clinic or hospital admission.

Telehealth for Boosting Annual Wellness Visits

The Annual Wellness Visits (AWVs) is a reimbursable telehealth appointment that sets a standard to guarantee Medicare patients are cared for during the COVID-19 outbreak. Furthermore, the advantages to the patient's health and the protracted financial effects must build credibility in Telemedicine.

Telehealth mandates actual human audio and video communication so that patients and their care providers can see and hear one another. Medicare, the federal government plan in the United States, has made substantial adjustments to assist healthcare providers who undertake telehealth AWV. 

Among these modifications are the following:

• Annual wellness check-ups can be handled only by audio.
• The blood pressure and weight stated by the patient are acceptable.
• Professional claims for non-traditional telemedicine services invoiced were reimbursed at the same cost as an in-person consultation.

The AWVs conducted via telemedicine services can be improved by increasing Care Coordination among caregivers to do chart prep which includes health risk evaluation inquiries, reviewing the medication list, and Social Determinants of Health (SDoH) probes. Such profiling can be completed before the patient-provider meeting via Patient Portal - EMR entry point.

Best Risk Adjustment Solutions for Health Plans

The Risk Adjustment (RA) initiative is one of three risk-sharing initiatives intended to minimize the costs and risks that insurance providers encounter in the healthcare insurance exchanges introduced by the Affordable Care Act (ACA). Risk adjustment, as explained by the Centers for Medicare and Medicaid Services (CMS), forecasts individuals' potential healthcare costs based on diagnoses and demographic groups. Risk adjustment changes reimbursements of all providers depending on an estimate of the cost of the patient's treatment.

Healthcare financial institutions employ appropriate effective, thorough Risk Adjustment Solutions, which necessitates taking a multitude of elements into consideration, including efficacy, compliance management, and patients' and healthcare providers’ contentment.

Efficient Risk Adjustment Model for Healthcare Plans involves the latest software to increase data analytics, collect indicated but unaccounted for diseases, seek health records with the better potential of generating excess coverage, and represent the real expense of the participant population. The adaptable and configurable strategy integrates risk-adjustment initiatives, combines analytics, and generates dashboards that look pretty familiar. The adaptable and configurable strategy integrates risk-adjustment initiatives, combines analytics, and generates dashboards that look pretty familiar.

CMS-HCC Coding Model

CMS employs Hierarchical Condition Category (HCCs Coding) to compensate Medicare Advantage plans depending on their participants' wellness. It precisely compensates for patients' projected cost spending by adjusting reimbursements depending on socio-economic data and patient health conditions.

The risk adjustment identifies individuals who need treatment planning and calculates the financial services granted by CMS towards each individual's yearly treatment by applying HCC Coding. Each individual diagnosis is utilized to produce the Risk Adjustment Factor (RAF), and the rating is used to evaluate not just payer coverage but also future possible expenditures connected with each patient. For HCC Coding to be effective, the insurance company must submit all diagnoses that influence the patient's assessment, care, and therapeutic interventions, including co-existing chronic conditions, comorbidities, and therapies delivered.

Modern Risk Adjustment Solutions Require Natural Language Processing (NLP)

Health insurance companies can effectively and efficiently risk categorizing their members using the NLP-aided coding system, concentrating on those with the most misdiagnosed symptoms and the largest number of claimed source codes without reference. This NLP-assisted risk classification adds tremendous value by allowing professionals to pick the most important members first and then navigate their way down the list of priorities.

NLP automation can speed up the data recovery method by enhancing searching, assembling, and automated data extraction. It helps eliminate or drastically lower chart hunt problems and improves efficiency, cost, and annoyance on both sides.

Population Health Management and ACOs: Will ACOs Meet Their Goals of Lower Costs?

Population Health Management Platform combines IT tools and related features that enable healthcare provider organizations to comprehend treatment approaches for patient populations and accomplish specific quality, expense, and satisfaction goals.

As per Population Health Management, the goal of Accountable Care Organizations (ACOs) is to continue improving clinical services, individual health, foster population wellness, and lower costs. Medicare has specifically prioritized ACOs as the primary tool for enhancing quality care and lowering costs. ACOs actively promote Pop Health by emphasizing prevention and robust management of patients with chronic conditions.

ACO members are encouraged to deliver quality care to enhance and maintain their patients' health through rewards such as linking clinician payment to quality care measures or penalizing hospitals for unscheduled rehospitalization. The ACOs’ objective is to substantially lower healthcare costs by providing medical intervention that keeps patients healthy.

ACOs and Health Departments Collaborate for Pop Health

ACOs and health departments are working together to improve Pop Health. The following are some instances of the role these departments play in assisting ACOs in fulfilling their health outcomes and cost-cutting objectives:

1. Providing data on care services access, health risk factors, and prevalence by population.

2. Informing elderly people about evidence-based preventative measures such as fall prevention and healthy behaviors.

3.  Using culturally adapted approaches to address healthcare disparities.

4. Organizing activities and advocating legislative changes to encourage healthier choices.

5.  Collaborating with other safety-net organizations.

6.  Assisting with evaluations and Pop Health monitoring.

7. Providing care managers and expertise by connecting with state and national healthcare networks.

Strategies of ACOs to Meet Goals of Lower Costs

ACOs have been able to provide better care at reduced costs by incorporating health IT equipment, adopting population health management plans, enhancing post-acute care delivery, and applying other care and cost-effective strategies.

Strategy 1: Identify Seriously Sick Patients

ACOs should begin to prioritize the critically ailing patients for population health management, integrate a more holistic home visit plan, and employ healthcare IT solutions to coordinate treatment and avoid unnecessary hospitalization. It will drastically lower costs and enhance care quality.

Strategy 2: Setting a Holistic Home Visit

Home visit intervention solutions in ACOs are fragmented and potentially underutilized. Creating a formal implementation care delivery system for patients at home can also save money by minimizing rehospitalizations and assisting patients with precise medical needs to monitor their diseases in lower-acuity situations.

Strategy 3: Incorporating Health IT

CMS has highlighted care coordination as a critical component of care quality and lower costs. ACOs should assess their care and cost-management methods, and health IT systems to modify the patient outcomes.