Tag Archives: referral

How Can Federally Qualified Health Centers Improve Patient Engagement With HealthViewX Patient Referral Management Software?

Patient Referral Program in Federally Qualified Health Centers

FQHCs are high outbound referral setups, meaning they send out numerous referrals. A patient visits the clinic when he/she is suffering from an illness. Depending on the need for specialist examination or additional diagnosis, the PCP might refer the patient to an imaging center for further diagnosis or a specialist practice for advanced treatments.

Most of the FQHCs have a team of referral coordinators or RN’s, LPA’s, MA’s operating across various locations handling the referrals today. This team sends out referrals and ensures effective referral coordination. With the help of the patient demographics and diagnosis details available from the referral order, the referral coordinator does the insurance preauthorization and finds the right imaging center or specialty practice for the patient. Following that, the coordinator creates a referral that includes the details of patient demographics and the required diagnosis. Then the referral is sent to the relevant imaging center or specialty practice.

What factors plague the traditional referral process?

The traditional patient referral process in FQHCs are riddled with flaws. The primary shortcomings of the process are improper communication and the far-reaching consequences of follow-ups. Let us consider the following stats,

According to the Archives of Internal Medicine, only half of the referrals result in a completed appointment.
An Archives of Internal Medicine study shows that PCPs do not receive consult reports from the receiving providers about 40% of the time.
The Journal of General Internal Medicine found that 68% of specialists receive no information from the PCP prior to referral visits.
The Journal of General Internal Medicine found that 63% of PCPs and 35% of specialists were dissatisfied with the current referral process
An MGMA study found that 53% of Appointments with more than three weeks of lead time resulted in a no-show

Given these statistics, it is fair to conclude that PCPs are not satisfied with the existing referral program in Federally Qualified Health Centers.

Challenges in the existing referral workflow

The following are the most common problems faced by Federally Qualified Health Centers. Let us consider the challenges with a typical referral scenario to understand it better.

Finding the right specialist/imaging center – Due to the increasing amount of imaging centers and specialists, it takes a lot of time and effort for the referral coordinator to narrow down the referral coordinator’s search and find the right one. It is also less likely for an FQHC to have the updated list of imaging centers and specialty practices.
Insurance pre-authorization – The referral coordinator must check the pre-authorization requirements, health plans, etc. They must retrieve patient-specific data like the history of medications, medical diagnosis and insurance coverage. They must then send it to the insurance company to validate these records. This exhaustive process increases the burden for the referral coordination team.
Time Spent – As referrals are handled manually, a referring coordinator spends approximately half-an-hour to one-hour for creating a referral and even more time in following up.
Tracking the referral – Specialists are usually busy and do not have the time to inform physicians about the progress of referrals. This causes physicians to lose track of referrals. They get no information about appointments, referral loop closure, or feedback from specialists or patients.

Improve Patient Referral Workflow with HealthViewX Patient Referral Management

As per the report from the Journal of General Internal Medicine, referrals managed electronically are twice as likely to result in better referral adherence. This proves that web-based referral management optimizes patient satisfaction and care. HealthViewX has thoroughly analyzed the workflow of FQHCs. We have implemented the following features for many of our FQHC clients thus positively impacting their workflow.

EMR/EHR integration – Our System integrates directly with electronic health records (EHRs). This enables healthcare professionals to easily obtain prior authorizations in real-time at the point of care. It also eliminates time-consuming paper forms, faxes, and phone calls.
Insurance pre-authorization automation – There are two ways in which HealthViewX solution automates the insurance pre-authorization process. The first one is the API-based method. Through this, we retrieve information regarding the forms and communicate information back and forth between the FQHC and the insurance company. The second one is the Form Automation method. Through this, we get all payer-specific forms, fill in the necessary information and send it to the insurance company via e-fax.
Intelligent Provider Match – The system has a smart search feature that enables PCPs to filter receiving providers according to their preferences. The list is always up to date with the newly added specialty and imaging centers which makes it easy for the PCP.
To and fro Communication – The PCP and the center can communicate with the help of the inbuilt secure messaging and voice call applications at any time of the referral process. This allows physicians to get referral updates easily.
Referral Analytics – Customizable dashboards and reports provide information about the number of referrals sent, referrals in various statuses, referrals that were missed, processed and pending. It gives a clear picture for the FQHC and helps them in making informed decisions.

Web-Based Referrals Encourage Patients to Engage With Your FQHC

Patients can use electronic resources within HealthViewX Patient Referral Management System to contact providers regarding questions or concerns. This feature

minimizes unnecessary visits and re-referrals
improves provider availability for other patients who need an in-person appointment.

Electronic referrals also enable PCPs to spend less time on administrative tasks, giving them more time to engage with their patients. Web-based referral management improves accountability and patient satisfaction while reducing costs, allowing providers to effectively close gaps in healthcare.

Automating referrals and related processes enables practices to eliminate 70% of tedious administrative duties so they can focus on improving care delivery. Patients are more likely to schedule and keep appointments when physicians are consistently available and receive accurate patient information to provide optimal care.

Reference

https://www.mgma.com/getattachment/Products/Products/Maximizing-Patient-Access-and-Scheduling/PatientAccessSchedulingResearchReport-INTER_FINAL.PDF.aspx

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1495590/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553012/

4 Ideas To Improve Your Patient Referral Process In 2019

Patient Referral Program in hospitals

An effective patient referral system plays an important role in large enterprise hospitals, specialty hospitals and health systems. It is an integral way of ensuring the patients receive optimal care at the right time by the right care providers.

Unfortunately, like a chain, a patient referral process is only as strong as its weakest link. Often referral systems are weakened by the use of old-fashioned fax machines to process referrals. It compromises the system and creates hazzles for providers and patients to navigate. This reasons why only 54% of referrals result in a completed appointment.

With focused efforts and the right resources, it is possible to enhance the existing referral process and make it more efficient and timely. The referral process must improve office practices and increase patient satisfaction and referral compliance.

Most common problem

Majority of healthcare providers experience major issues related to coordination or communication between relevant departments in their referral systems. These issues tend to have a bad impact on patient satisfaction, clinical care and outcomes.

For instance, according to the Journal of General Internal Medicine, more than two-thirds (68%) of specialists receive no information from primary care physicians (PCPs) prior to referral visits. According to the Archives of Internal Medicine, an astounding 40% of PCPs do not receive consult reports back from specialists following referrals.

Any referral inbound-heavy healthcare system would have faced the above issues. These issues would jeopardize an organization’s reputation, revenue streams and professional relationships. Referrals in inbound-heavy healthcare systems were often mishandled or dropped altogether, forcing referring providers, patients or their representatives to intercede and quarterback the referral process themselves.

It is recommended that such inbound-heavy healthcare systems require a standardized, enterprise-wide process for handling referrals. The healthcare system needs a better solution to support referring providers’ needs, which would significantly improve the handling of incoming patient referrals.

4 Ideas to Improve Patient Referral Process

The following steps can be used by any referral inbound-heavy healthcare organization interested in improving their referral process,

1. Identifying the current and desired state

Before defining what is needed for a desired future state, any healthcare organization must first review and assess their current state. The healthcare system must create a team to determine

How the current referral system works
How the current referral system is not fully competent
Where and how the existing referral process requires changes
Who would be handling such changes
What next steps are needed

Now the healthcare system can achieve the desired future state with ease as the current state is clear.

2. Charting the desired future course

The next action would be to chart and determine the various referral handling scenarios. These scenarios should range from the seemingly simple, such as a referral to an orthopedic specialist for a fractured limb, to the more complicated ones, such as the referral of a patient with multiple complex chronic illnesses. All possible types of referrals must be accounted for, to ensure that they would be handled appropriately and consistently.

3. Shifting to electronic referrals

Healthcare systems who receive referrals are heavily reliant on fax-based referral systems. These systems require staffers to manually re-enter referrals is time-consuming, error-prone and a major bottleneck. Instead, healthcare systems must receive referrals in electronic forms. Electronic referrals save time for staffers, less prone to errors and are also easy to manage.

4. Creating a new standardized process

The team should then create a new, standardized process for inbound referrals and leverage the referral benefits offered by electronic channels of referrals. Critically, this should include plans for internally training their staff members on this new process. It will also overcome referring providers’ previous impressions of the healthcare system mishandling patient referrals.

You Can Too!

By following the steps listed above, it is possible to see improved referral-handling within just a few months. More importantly a healthcare system must invest on the right provider portal like HealthViewX.

It will provider tremendous improvement in return on investment. Patient satisfaction will improve with easier and more efficient access to quality care. And physicians and staff will no longer need to engage in time-consuming and costly rework, data entry and investigations simply to ensure that referrals are correctly processed. A true win/win for all!

Reference

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686771/

How Can Large Enterprise Hospitals Overcome The Challenges In Patient Referral Workflow?

Did you know? There are about 8000+ large enterprise hospitals in U.S. Recently, Becker’s Hospital Review released the list of top 50 large health systems. How is a hospital classified as a large enterprise hospital?

Hospitals which have typically 500 or more beds are categorized as Large Enterprise Hospitals. They are capable of serving the broader needs of the community. Some larger hospitals offer a combination of acute and long-term care services while also providing research opportunities in some cases and accommodating a variety of specializations.

Considering the huge number of patients in such hospitals, the referral numbers are also high. So such large health systems face challenges such as operational inefficiency, patient dissatisfaction, care discoordination and missed referral updates in their referral process. Let us go through the patient referral workflow in detail to understand their challenges better.

Patient Referral Workflow in Large Enterprise Hospitals

In order to understand how a patient referral works in a large enterprise hospital, let us consider a scenario,

XYZ hospital is a large enterprise hospital with 10,000 plus PCPs and specialists. It is a busy hospital that sends and receives 1000 plus referrals in a day. In the workflow explained below, Mark is the patient who visits his PCP, Dr.James.

Mark visits the hospital – Mark hurt his leg and was bleeding. Even after three days, the wound did not heal. He visited his PCP, Dr. James. After examining Mark, Dr.James wants him to consult a diabetologist.
Dr.James does the insurance pre-authorization – The PCP does the insurance prior authorization manually. He places a request with the insurance company and waits for their response. The process takes time and forces Mark to wait. After about four hours, Dr.James gets the consent of the insurance company for the diagnosis.
Dr.James has difficulty finding the right specialist – The hospital had recently acquired a specialty clinic. Dr.James is not aware of the specialists recently added to the network. So he misses the famous diabetologist within the network and looks for someone outside the network. After considering many factors like the patient’s comfort, specialist’s availability, distance from the patient’s residence, specialist’s experience etc, he finally chooses a receiving provider.
Dr.James sends the referral – Dr.James finally sends the referral to Dr.Hales after trying to reach the specialist office via phone. The line seems to be engaged. He looks for many other ways which will be easy to send referrals but to his disappointment, Dr.Hales accepts only referrals through phone or website.
Dr.Hales schedules appointments – After receiving the referral, Dr.Hales schedules an appointment with the patient. Mark was not notified clearly about the appointment. So he fails to show up. It results in revenue loss for the specialist and patient dissatisfaction with the PCP. Mark who is still suffering from pain and waiting for the specialist to examine him. After two missed appointments, Mark finally visits the specialist.
Referral progress updates and loop closure – Throughout the referral process, Dr.James is in the dark. Dr.Hales is busy and fails to give referral updates to Dr.James. He is anxious to know if Mark was taken care of. Without referral updates, Dr.James cannot close the referral loop.

Challenges of Patient Referral Workflow in Large Enterprise Hospitals

Handling multiple EMR/EHRs – Large Enterprise Hospitals and Health Systems that are formed as part of mergers and/or acquisitions tend to handle multiple EMRs. EMR interoperability is their greatest challenge.
Finding the right specialist – A Large Enterprise Hospital has huge number of specialists. PCPs are not aware of specialists who were newly added or who came within their network as a result of mergers or acquisitions. So many times PCPs tend to refer their patients out of their network in spite of having the right provider within the network.
Patient no-show rates – When patients miss/forget or do not show up for appointments, it results in revenue loss for the hospital. Patients miss appointments due to various reasons like no reminders, waiting time, better specialist within the locality, reputation of the receiving provider, etc.
Referral leakage – Did you know? Referral leakage for any health system can average anywhere from 55-65%! Patient leakage or referral leakage occurs more in an out-of-network referral than in an in-network referral. There could be many factors such as reputation of a provider, lack of knowledge or insight and patient’s choice that lead to patient leakage.
Patient dissatisfaction – Large enterprise hospitals should keep in track of the number of patients moving out of their network. An alarming 25 to 50% of referring physicians do not know whether their patients see the specialist! Patients become dissatisfied with the treatment when specialists or PCPs do not follow-up with them regularly.
Referral Analytics – As a large number of referrals flow in and out of the network, it is difficult to track the exact number. It is also tedious to track the number of referrals in various status and to close referral loops.

HealthViewX Patient Referral Management Features for Large Enterprise Hospitals

Multi-channel referral consolidation – The HealthViewX solution can capture fax, phone, email, online form referrals or any other referrals in a single interface. It makes it easy to monitor and manage all channels of referrals in a single queue.
Intelligent Provider Match – The HealthViewX “Smart Search” feature makes it easy for the referring provider in finding the right provider. It has smart filters and search options that help in narrowing down the specialist based on the requirements. This saves a lot of time for the referring provider.
Insurance pre-authorization process – HealthViewX automates the insurance pre-authorization process. The provider need not coordinate with the insurance company for prior authorization. The HealthViewX solution will do it for them. This reduces the manual effort of the referral coordinators.
Patient coordination framework – After finding the receiving provider, the referral coordinator refers the patient. When the receiving provider receives the referral, the provider will get notified of the referral. Even the patient will be notified of the referral. The receiving provider can schedule appointments based on the patient’s comfort. This will cut down patient no-show rates.
Timeline View to track referrals – With the help of a referral status, the referring provider can get to know what stage the referral is. A timeline view shows a history of stages through which the referral has progressed. The chances of a referring provider missing out on referral updates are very less.
Referral closure and feedback – The referring provider can close the referral when it gets completed. The receiving provider and the patient can give a feedback on the referral process to the referring provider. Thus the referring provider can make it easy for the other the next time.
Referral Analytics – Helps in tracking the number of referrals and gives complete information about the referrals processed, missed, scheduled etc with the help of a Referral Data-centric Dashboard.

HealthViewX Patient Referral Management solution smooths the referral process and solves most of the inbound and outbound referral challenges for Large Enterprise Hospitals. Do you want to know more about HealthViewX HIPAA compliant Patient Referral Management solution? Schedule a demo with us.

Reference

https://www.beckershospitalreview.com/lists/50-largest-hospitals-in-america.html

https://www.mass.gov/files/documents/2016/08/uy/2011-hcctd-full.pdf

https://www.beckershospitalreview.com/lists/52-great-health-systems-to-know-2018.html

5 Benefits To Look For Before Choosing A Referral Management Software

Referral process in healthcare

A referral process in healthcare, a primary care physician creates a referral order in the EMR for a patient to see a specialist or imaging center for a specific medical service. PCPs hold the responsibility for managing and tracking their patient referrals throughout its life cycle. But the PCPs face challenges in managing the referral process. Challenges such as increasing patient referrals, new specialist and imaging centers opening up, manual referral follow-ups, etc prevent PCPs from managing the referral process effectively. This is when a healthcare referral management system comes to play.

Importance of referral management software in healthcare

There are many reasons for why having a referral management software is necessary. Healthcare processes are always criticized for being costly and inefficient. Referral management software is a potential solution to the healthcare problems. In this day and age, healthcare is moving towards improving quality and efficiency, while also decreasing the cost. It’s all about improving the experience for their patients. The entire industry is adapting technology for streamlining administrative operations.
Here are some alarming statistics that reiterate the need for a referral management solution,

Any health system will have an average referral leakage of 55-65%
Approximately 33% of patients do not follow-up with the specialist to whom they are referred
25 to 50% of referring physicians do not know whether their patients see the specialist
Over 50% of the current referral process is redundant and repetitive

In order to reduce referral leakage, increase patient follow-ups and improve the current referral process, a referral management software is needed.

Benefits a referral management software should deliver

The following are the benefits that a referral management software should deliver in order to make the referral process efficient,

1. Reduced referral leakage

Referral leakage is a huge problem hemorrhaging health systems in the country. Missed referrals are the main reasons for millions of lost revenue.
After implementing an effective referral management solution, the health system will see an immediate reduction in referral leakage. It will have a positive impact on the health system by making it more efficient and better equipped to serve patients. The immediate effect a health system will recognize is fewer patients leaving the health system thus saving millions in lost revenue.
Click here to learn more about how a health system can reduce referral leakage in their network.

“HealthViewX reduces referral leakage by helping referral coordinators in identifying the right receiving providers within the care continuum”

2. Decreased lead times

Operational inefficiency hampers a referral network to a greater extent. Dead time or unnecessarily long lead times are an inconvenience to both patients and providers alike.
For eg – PCPs frequently refer patients to specialists without considering the benefit for the specialty. About 65% of referral created by PCPs are unnecessary. These unnecessary visits will lead to long waiting times for those who do need to see a specialist. This will in turn result in poor health outcomes.
These problems can be solved by investing in a referral management solution. It will make the process efficient, decrease lead times, shorten patient waiting times and improve patient satisfaction. Increased operational efficiency will lead to shorter patient waiting times and thus more patients being seen.

“HealthViewX improves operational efficiency by automating the primary care to specialist referral process in healthcare”

3. Improved referral closure rates

With a referral management system in place, it is easy to track referrals depending on the status. Improved referral tracking leads to increased referral loop closures.

“With HealthViewX Patient Referral Management Software, health systems can track referrals in real-time. It provides a timeline view that helps referring and receiving physicians to know in which status the referral is.”

4. Improved referral utilization

Tracking patients’ progress through the care continuum helps to improve utilization for both providers and staff. Referral Management Software will enable health systems to see more patients.
PCPs can easily send patients to specialists by searching through directories and evaluating providers based on reviews, quality, and even familiarity.
It’s even better when this whole process can be condensed into one application, allowing both doctors and staff alike to access provider directories.

“HealthViewX Patient Referral Management supports features such as Intelligent Provider Match and Online Scheduling. It enables better utilization of the existing staff in health systems.”

5. Additional patient time

Finally, and maybe most importantly, referral management software must save time on administrative processes. This will increase the time for the actual medical visit.

Reference
https://www.mass.gov/files/documents/2016/08/uy/2011-hcctd-full.pdf
https://www.beckershospitalreview.com/payer-issues/3-important-statistics-about-provider-referrals.html
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3160594

Seven Ways In Which Artificial Intelligence Is Impacting The Healthcare Industry

Artificial Intelligence or AI has accelerated the growth in various industries. The growth has been pretty quick and sometimes, totally unpredictable. So, what is AI?

AI is a combination of various technologies that imitate human intelligence. It is an essential part of the technology industry. The core concepts of AI include programming computers for certain human traits like:

Knowledge
Reasoning
Problem solving
Perception
Learning
Planning
Ability to manipulate and move objects

Artificial Intelligence in healthcare

Artificial Intelligence has impacted modern healthcare industry to a great extent. With the application of AI, there has been tremendous changes in the way patients are treated by doctors.

AI can be applied to both ordinate and inordinate data, with techniques including machine learning and natural language processing. Nurses and doctors are adopting technology to

Reduce manual work
Provide more accurate service
Give impact interventions to patients

AI helps reduce the repetitive manual work and human intervention in data analysis. A good example of this is predictive diagnosis through which medical condition possibilities can be diagnosed by monitoring the vital stats and other necessary parameters. This helps providers prepare and provide necessary proactive care as foreseen by AI systems. The predictive possibilities of AI transcends to patient experience as well. Using chatbots and AI for responses to patients reduces the burden on manual intervention for scheduling appointments, responding to common queries on the website/chatbot/sms/apps, analyzing x-ray and basic scans and much more. This can help enhance patient experience with quick response times and avoid unnecessary hospital visits.

Medication management to ensure patients are taking medicine on time and prescribing medicine according to progress is also possible with artificial intelligence and this avoids repetitive human tasks.

The promise of AI in the matters of health, including that of life and death critical issues is highly impressive.

Impacts of Artificial Intelligence in healthcare industry

The following are the top seven impacts in the healthcare industry that are most likely to happen with the advent of artificial intelligence within the next decade.

Reducing the burden of EHR usage – EHRs are instrumental in the healthcare industry’s journey towards digitization. But the switch brought problems such as cognitive overload, endless documentation, and user burnout. EHR developers are now adopting AI for creating intuitive interfaces and automating some routine processes. Artificial intelligence may also help to process routine requests from the inbox, like medication refills and result notifications. It may also help to prioritize tasks that truly require the clinician’s attention making it easier for users to work through their to-do lists.

Operating mind and machine through brain-computer interfaces – AI can create direct interfaces between technology and the human mind without the need for keyboards, mice, and monitors. It is a cutting-edge area of research that has significant applications for some patients. Neurological diseases and nervous system trauma can affect abilities to speak, move, and interact meaningfully with people and their environments. Brain-computer interfaces (BCIs) backed by AI could restore those fundamental experiences to those who feared them lost forever. Brain-computer interfaces could drastically improve quality of life for patients with ALS, strokes, or locked-in syndrome, as well as the 500,000 people worldwide who experience spinal cord injuries every year.

Inventing cutting-edge radiology tools – MRI machines, CT scanners, and x-rays produce radiology images that offer non-invasive visibility into the inner workings of the human body. But many diagnostic processes still rely on physical tissue samples obtained through biopsies, which carry risks including the potential for infection. AI will enable the next generation of radiology tools that are accurate and detailed enough to replace the need for tissue samples in some cases, experts predict.

Improving care accessibility to underserved and developing regions – There is severe shortages of trained healthcare providers like including ultrasound technicians and radiologists. This significantly limits access to life-saving care in developing nations around the world. AI could lessen the impacts of severe deficit of qualified clinical staff by taking over some of the diagnostic duties allocated to humans.

Building intelligent medical devices and machines – Smart devices are taking over the consumer environment, ranging from offering real-time video from the inside of a refrigerator to cars that can detect when the driver is distracted. In the medical environment, smart devices are critical for monitoring patients in the ICU and elsewhere. Using artificial intelligence to enhance the ability to identify deterioration, suggest that sepsis is taking hold, or sense the development of complications can significantly improve outcomes and may reduce costs related to hospital-acquired condition penalties.

Monitoring health through wearable and personal devices – Almost all patients now have access to devices with sensors that can collect valuable data about their health. From smartphones with step trackers to wearable that can track a heartbeat around the clock, a growing proportion of health-related data is generated on the go. Collecting and analyzing such data and supplementing the same with patient-provided information (through apps and other home monitoring devices) can offer a unique perspective into individual and population health. Artificial intelligence will play a significant role in extracting actionable insights from this large trove of data.
Robotic assistance – Patients might not be comfortable with robots performing a surgery on them. How about combining the skills of a competent surgeon and the technical brilliance of a robot? That makes for a surgery with impressive levels of precision, steadiness and accuracy. And when we have AI guiding the hand of the surgeon through the help of robots, it opens the doors to extremely high levels of precision, and better patient outcomes. The AI assistant can provide patient’s past and present health details and give suggestions that would help in the diagnosis. Surgical bots use computer vision to perform surgeries after accurately calculating human body measurements. When a surgeon performs a complex surgery, AI can provide real time data that helps in identifying and reducing risk, and improving quality. Highly precise movements are made the robot hands so any tremors in the surgeon’s hands will be neutralized completely, enabling the progress and success of micro surgeries.

Benefits of Incorporating AI in Healthcare

Healthcare is definitely improving through AI. Patients and medical practitioners experience the following benefits,

Predictive medical care – Predictive healthcare will lead to an evolving treatment model wherein the patient data is reviewed constantly to check for any anomalies, followed by suggestions of medical intervention.
Personalized medication – AI makes it possible for patients to have personalized care based on their body constitution and past medical history.
Better diagnosis – Fast research and cross-referencing of data leads to better diagnosis of diseases
Advanced treatment plans – New treatment methods are generated and introduced, including robotic surgery, cell biology, stem therapy, genomics and proteomics.
Lower liability for hospital – Continuous monitoring of patients would ensure timely care and treatment and even reduced hospital stay.
Cost savings for patient and medical care provider – AI can make healthcare both efficient and affordable as it helps in
- Guiding treatment choice
- Making more efficient diagnosis
- Helping patients make better decisions regarding their health
- Taking important decisions in drug development.

The healthcare industry is evolving with Artificial Intelligence. It has a great impact on the role of doctors and patients. There are some challenges like managing and integrating large data sets that need addressing, but the benefits outweigh them, and AI is here to grow and expand. AI will change every medical word – in diagnosis, in treatment, in disease detection, in treatment disciplines and more.

Reference

https://www.cabotsolutions.com/revolutionizing-modern-healthcare-with-internet-of-things

https://healthitanalytics.com/features/ehr-users-want-their-time-back-and-artificial-intelligence-can-help

https://healthitanalytics.com/features/what-is-the-role-of-natural-language-processing-in-healthcare

https://healthitanalytics.com/news/ai-for-imaging-analytics-intrigues-healthcare-orgs-yet-starts-slow

https://mhealthintelligence.com/news/mhealth-for-children-4-concepts-that-could-change-the-world

https://mhealthintelligence.com/news/mhealth-wearables-ai-used-to-detect-diabetes-in-ones-heart-rate

All You Need To Know About Insurance Prior Authorizations In Healthcare

Insurance Pre-authorization in healthcare

Prior authorization is the talk of the healthcare industry since the increase in specializations in healthcare. Any healthcare process has its own pros and cons. Prior authorization is no exception to that. A Health Insurance Company must verify if the patient is eligible for an insurance for a certain drug or procedure. Before the physician prescribes it to the patient, it is a common practice to parallely check for authorization from an insurance company.

Current Healthcare Insurance Prior Authorization (PA) Workflow

The physician recommends a lab test – A patient visits a physician complaining of leg pain. The physician suggests the patient get an X-ray to know what is causing the pain.
The lab receives the order – The lab receives the request for the test and initiates the process of prior authorization.
Lab conducts PA – A separate team is dedicated for PA in most of the labs. They check the PA requirements, health plans, etc. They retrieve patient-specific data like the history of medications, diagnosis done, etc
Insurance agents review Prior Authorization – Lastly, the insurance agent reviews and validates the documents sent as a part of the PA process.

The ultimate aim of PA is to optimize patient outcomes by ensuring that they receive the appropriate medication thereby reducing

Wastage
Errors
Unnecessary prescriptions and drug use
Cost

Problems presented by the process of Insurance Prior Authorization

1. Time taking process for doctors – Physicians are dissatisfied with the time their staff has to spend interacting with health plans. When a procedure needs authorizing, it consumes a lot of admin time. It includes the time a physician spends persuading an insurance company to cover an expensive medication or a procedure. For most PA, physicians have to follow multiple steps. This involves

securing the correct form
filling it out with the required information
submitting the form to the plan

Physicians say that the overall process takes 30-45 minutes for each PA submission.

2. The cost involved in Prior Authorization – Though PA is the most talked about topic in the healthcare industry, little is known about its cost. In 2009, a study by Health Affairs estimated that on average, prior authorization requests consumed about 20 hours a week per medical practice

one hour of the doctor’s time
six hours of clerical time
13 hours of nurses’ time

It further revealed that when the time is converted to dollars, practices spent an average of $68,274 per physician per year interacting with health plans. This equates to $23 billion and $31 billion annually! Prior authorization ultimately ends up costing the health care system more than it saves.

3. Patient delay – The real impact of PA is often felt by patients whose treatment is delayed. Nearly all physicians noted that wait times increased the delays in necessary care, which added to the risk of adverse events. According to AMA, a PA decision takes at least one business day for 64% of physicians and 3 or more business days for the rest. During this time, patients are unable to start treatment. These long wait times have a negative impact on patient experience and patient care.

4. Management of Prior Authorization – The management of PA can sometimes be difficult to manage. This is because the requirements can vary widely from one insurer to another. Each one has a different process for submitting prior authorization requests. The process cannot be standardized at times and must be done manually. This will of drain resources and time if this is already limited.

How can the Insurance Prior Authorization process be improved?

Healthcare Insurance Prior Authorization is a necessary step in many practices. But the current process is all too often manual and involves a cumbersome workflow. It may result in delays in treatment and dissatisfaction for patients and medical practitioners. As a result, many are implementing electronic prior authorization solutions to address common issues with the approvals process.

HealthViewX Referral Management solution makes the referral workflow easy for the practices. It has the following features that make the process of Prior Authorization simpler.

EMR/EHR integration – Our System integrates directly with electronic health records (EHRs). This enables healthcare professionals to easily obtain prior authorizations in real time at the point of care. It also eliminates time-consuming paper forms, faxes, and phone calls.
Timeline View – Both the center and the PCP can view the timeline data of the patient in which the referral history is present. Documents and notes can be attached anytime for one another’s reference.
To and fro Communication – At any time of the referral process, the PCP and the center can communicate with the help of the inbuilt secure messaging and voice call applications.
Referral Data Consolidation – It has options for printing the consolidated data about the referrals and the referral history of any patient as a hard copy at any time in pdf/excel.
Secure Data Management – HealthViewX Patient Referral Management is HIPAA compliant. It manages all patient-related documents securely.
Referral Analytics – Helps in tracking the number of referrals and gives complete information about the referrals processed, missed, scheduled etc with the help of a Referral Data-centric Dashboard.

HealthViewX Patient Referral Management solution helps practices in managing their prior authorization process and saves their time and money. Are you a practice looking to ease your prior authorization process? To know about HealthViewX Patient Referral Management System in detail schedule a demo with our team.