OSP Labs

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How is Data Analytics used in modern Oncology?

Data is an absolute must when it comes to determining the impact, effectiveness or even competition of a certain drug. Data combined with analytics can help direct your commercializations and clinical plans at the doorsteps of your patient.  

Oncology research requires gathering of precise data and conducting correct analysis for the same which makes the gathering of Clinical Data Analysis in Oncology an important step.

There are three building blocks in curating an effective Data Analysis Oncology strategy, they include:

(A) Data - A wide variety and volume of data. (B) Platform - Collection of data from various platforms (EMR's, EHR's, Lab Reports, Inventories, Registeries, Mobile Health Devices, etc) (C) Experts - People well equipped with the experience and knowledge to make use and sense of the data collected.

When we were approached to build an advanced analytics system, we put forward to them, a Custom Clinical Data Analysis Solution that was powered by Big Data, this set the ground for us to build a Medical Oncology based Automated Web Application that would focus primarily on three things:

- To generate surveys for oncological medicines. - Share those studies with the respective healthcare providers. - And compare their drugs performance against other popular oncology drugs.

To take a detailed look on how we integrated our solutions to build a customized clinical data analysis solution, read more at https://www.osplabs.com/case-study/data-analytics-for-oncology-pharma/

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What is the Impact of Automating a Claims Review System?

An insurance claim review is defined as the reviewing of claims by the respective insurance companies in order to determine the liability and payment amount for the availed services. The review may also include determination of eligibility of the claimant or beneficiary or of the provider of the benefit; determination that the benefit is covered or not payable under another policy; or determination that the service was necessary and of reasonable cost and quality.

The biggest problem in not having a proper Claim Review System is the piling up of errors in an insurance claim which takes the form of overcharged bills to the payer, we have to keep in mind that due to such errors payers in the United States reimburse billions of dollars to the hospitals for services that they never availed. An Auto Claims Management Software System became a necessary solution to tackle this problem.

A Claims Review Software Solution is specifically designed to eliminate problems faced during manual claim review, through the use of automation. These automated Claims Management Systems for Insurance are highly accurate and efficient in their use, if the solutions are built correctly, they can have huge impact on the entire claim reviewing process, it can reduce the reviewing time to as low as 12 hours from 7 weeks.

If you're interested in our Claims Processing System in Healthcare, then take a look at our cloud-powered claim review system https://www.osplabs.com/case-study/aetna-health-claim-solution/

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What are the Uses & Benifits of Homecare Management Solutions?

Doctor appointments are an integral part of a patients healthcare routine. Age and energy are two factors that affect a patients ability to conduct physical check-ups. Patients in their old age or with physical disabilities are burdened by their inability to physically travel to the doctors office and perform regular physical check-ups, instead they prefer to perform check-ups at their home to save them the time and effort. Doctors, on the other hand are burdened by the fact that they are required to keep the financial track record of the appropriate patients who are conducting their healthcare routines from their homes, as the number of such patients increases, so does the tedious workload of the doctor increase. A solution had to be deciphered for this problem and a solution did emerge, it is now known as Home Health care Management and Practise or more suitably known as Homecare Management.

Homecare Management Software are developed by a number of healthcare companies around the globe that aid healthcare providers in their task of patient management. When approached by a client to build a Homecare Health Management System, we proceeded to build them a  Home Care Health Management Software that put their worries at ease and helped them keep a proper track of the appropriate patients in order to minimize the amount of errors and claim rejects due to it.

Our Home Care Medication Management System was a cloud-powered system primarily used to schedule appointments with patients and track their health records. It also included beneficial features such as claim management system, a messaging application and additional essential tools for use by the doctor.

We provide many such solutions to your growing healthcare problems, take a look at our Healthcare Provider Solutions at https://www.osplabs.com/healthcare-provider-software-solutions/

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How Telehealth can improve Healthcare accessibility

Accessibility is a valuable factor people put in consideration before availing any service, the same factor is applied to Healthcare.

The term 'Telehealth' was introduced by the combination of Technology & Healthcare. Telehealth technology leverages the power of digital information and communication devices -- those such as computers, smartphones and tablets to provide quality of life improvements which, is perhaps the main point of telehealth benefits.

Telehealth Services:

Telehealth services include topics such as Patient Portals, Virtual Appointments and Remote Monitoring. Patient Portals are places where with the help of web-based services or telehealth applications, patients can log onto their own profile and access their medical reports through the dashboard, this dashboard is also accessible to the doctors under whom the patient is being taken care of, the patient can even communicate and schedule appointments with the doctors through the use of patient portals. Virtual Appointments enable the patient to interact with a doctor through the means of video conferencing or even perform virtual 'visits' by logging on the web-based service. Remote Patient Monitoring enables the doctors to remotely monitor their patients health status through the use of telehealth applications by inputing of the health information by the patients on these applications.

The benefits of telehealth go beyond these but there are also several drawbacks included with it.

To learn more, read this case study we have written keeping telehealth companies in mind: https://www.osplabs.com/case-study/telehealth/

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How are Healthcare Dashboards valuable for CEO's

Information is an important factor in running an organization. Information is what drives and thrives these very organizations. Information in Healthcare is quite the sensitive factor that affects many important business decisions and these important business decisions, at the end of the day are to be called by the CEO.

CEOs handling modern healthcare systems are expected to be well-educated about their system such that the possibilities of any real financial threat to their business is near to 0%.

Our healthcare dashboards assist CEOs of healthcare businesses understand insights generated by the dashboard which helps them apply the valuable data for better decision making. The dashboards can help CEOs analyze the huge piles of information regarding everything going on the inside of the organization such as quality, contracts, buying decisions, etc. It helps them get a better understanding of the financial factors of their system, these factors include those such as product building costs, payment reforms, revenue streams, payments, etc. Today's CEOs are required to be skilled at conflict resolution, they must understand how to work in collaboration through the use of a matrix management approach.

We have designed 6 Free Enterprise-Ready Healthcare Dashboards for Healthcare CEOs, take a look around and choose for yourself.

Download our Healthcare Dashboard eBook at: https://www.osplabs.com/healthcare-dashboard-ebook/

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Who are the Speakers of Healthcare | HIMSS 2019

"Speaker" a position of power, a voice of reason -- that is what they are.

The highlight for HIMSS19 was the Keynote Speakers Conference which talked on various topics and one of the most notable being Consumer-Directed Change and it's Disruption to the Healthcare Marketplace that was done on Day One of the HIMSS Global Conference.

Here is our list for the top 5 HIMSS Speakers:

Aneesh Chopra, President of CareJourney and author of the book "Innovative State: How New Technologies can Transform Government"

Hal Wolf, President and CEO of the Healthcare Information and Management Systems Society (HIMSS). Widely respected as a healthcare and informatics executive with areas of expertise in mhealth, product development, integrated care models, marketing, distribution, information technology and innovation implementation.

Karen DeSalvo, a Professor of Medicine and Population Health at the University of Texas and the co-convener of the National Alliance to Impact the Social Determinants of Health.

Mick Ebeling, CEO of Not Impossible he is named as one of Wired’s “Agents of Change,” a two-time SXSW innovation of the year award winner.

Susan DeVore, President & CEO of Premier Inc and one of the few women to have been named multiple times as Modern Healthcare's 100 Most Influential People and Top 25 Women in Healthcare lists.

These, are our top choices of the HIMSS 2019 Speakers.

To learn more about HIMSS, check out our article: https://www.osplabs.com/insights/7-smart-lessons-you-need-to-learn-before-attending-himss-conference-2019/

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How Pneumonia is detected using Deep Learning Driven X-Ray Analytics

Pneumonia is a rather common airborne disease wherein the air sacs of the sufferers lungs fill up with fluid or pus causing an infection. There are 3 Million cases of Pneumonia every year from which about 900,000 reported cases classify as Pneumococcal Pneumonia. Pneumonia is regarded as sole cause for approximately 50,000 deaths in the US every year which set doctors and researchers alike, to discover a rigid cure to the illness.

Pneumonia X-Ray Chest Images are type of procedure standardized by the World Health Organization (WHO) to define Pneumonia Imaging. A recent and better way for detection and treatment of Pneumonia is through the use of Deep Learning based X-Ray Scans which proved grounds as an advanced and efficient medium for the diagnostics and early medication of Pneumonia. Image Analysis Softwares are used to train the same deep learning models which ultimately results in better quality of X-Ray Analytics.

Learn in full detail about our Deep Learning-Driven X-Ray Analytics for detecting Pneumonia at: https://www.osplabs.com/deep-learning-driven-x-ray-analytics/

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How AI is helping enhance Data Visualization

The Data Visualization Concept is an endeavour in making sense of the collected data in quite a visually attractive manner. This concept of 'Data Visualisation' can be better explored by the art of Data Visualization Storytelling wherein the Data displayed not only provides a meaningful visual but also provides a meaningful story, that in our Data-Driven world, are called as 'Insights'

Data Visualization Techniques consist the capturing striking patterns and making it visually stand out against the rest of it's backdrop. To simplify the process, a number of Data Visualization Tools & Softwares are available allowing you place an extra level of awe over a plain mould. A common example of Data Visualisation in your day to day life can be in the form Data Visualization Infographics that are widely accepted and used to provide an attractive base to decorate your data on.

Data Visualization Benefits comprises of ease in the understanding of complex data that ultimately leads to faster information processing by the human brain.

This puts us on a standpoint to think: Will AI carry the task of Data Visualization in the future?

Learn more about AI Data Visualization at: https://www.osplabs.com/ai-data-visualization/

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How Predictive Analytics is changing the future of Healthcare

The technology of Predictive Analysis in Healthcare is a forefront contender aimed at bringing forth a technological utopia. Many Predictive Analysis Tools & Techniques are used to gain useful insights from the data, those such as Data Mining, Machine Learning & Artificial Intelligence are used for analyzing the data and make future predictions based on how well the data is analyzed.

The Healthcare Industry is surrounded by Predictive Analysis Examples such as determining which type of diseases are patients risk to suffer from. These Predictive Analytics Examples in Healthcare are an indicative of how effective Predictive Analytics has been in such a complex domain. On the other hand Predictive Analysis using Machine Learning can predict how likely a person can be affected by a particular illness. The model used for Machine Learning uses a patient records database to make predictions by determining the symptoms exhibited by the patient.

Predictive Analysis models using Big Data are designed exclusively to capitalize on the large repositories of Data available and improve their accuracy on predicting the right outcome.

Predictive Analytics using AI calls for a more advanced, accurate and efficient way of achieving better data virtualization, integration and quality.

To build your own Advanced Healthcare based Predictive Analytics Software Solutions, visit our site at: https://www.osplabs.com/healthcare-predictive-analytics/

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Meet the 25 Women of Healthcare

The Healthcare world can be grueling at times but through all the pain there is something to gain and Women in Healthcare have gained not just everyone's trust, but also everyone's respect. The Women of HealthIT have shown that they're just as smart and capable of being creative and innovative as their counterparts.

Here are the 25 most Prominent Women of Healthcare that we've included in our list:

- Nancy Howell Agee - Leah Binder - Marna Borgstrom - Deborah Bowen - Mary Brainerd - Dr Julia Andreini - Ruth Brinkley - Christine Candio - Debra Cafaro - Dr. Mandy Cohen - Susan Devore - Dr. Laura Forese - Deborah Disanzo - Sally Hurt-Dietch - Judith Faulkner - Kathy Lancaster - Dr. Halee Fischer-Wright - Sue Schick - Dr. Tejal Gandhi - Dr Katherine Schneider - Laura Kaiser - Marla Silliman - Sister Carol Keehan - Dr Suzanne White - Sarah Krevans

These Women's Healthcare Professionals are not only researchers and scientists, in fact many of these Healthcare Women are Presidents and CEO's of leading Healthcare companies piloting them towards technological coalition.

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Applications of Healthcare Data Analytics Technologies In 2019

Healthcare Data Analytics encircles a branch of analysis that concentrates on the provision insights gathered through hospitals, clinics, patient records, diagnostics, etc. The Healthcare Analytics Data gathered through these means are immeasurable due to it's massive volume -- unless done with the help of some Big Data Analytics Processing System.

Ensuring seamless integration & interoperability to big data processing system is essential for achieving flawless Healthcare Analytics Growth & Results. A variety of this flawlessness is generally achieved through Healthcare Analytics Tools mainly consisting of Healthcare Predictive Analytics & Healthcare Business Intelligence.

Healthcare Value Analytics can be gained through the formal usage of Predictive Analysis, Business Intelligence & Payer Administration.

Predictive Analysis for Healthcare Analytics helps in issues such as:

- Patient Engagement - Medical Image Analysis - Health Risk Management - Remote Patient Monitoring - Healthcare Informatics

While Business Intelligence can help in:

- Patient Engagement - Cost Containment - Healthcare Risk Management - Clinical Decision Support - Patient Prediction

And Payer Administration using:

- Patient Prediction - Claim Management - Fraud, Waste & Abuse System Solution - Healthcare Risk Management

Healthcare Analytics Technologies for 2017 & 2018 have been nothing more but an improvement on the predicates of the past. Explore a new generation of technology for Healthcare and learn how Healthcare Analytics Companies can steer your organization to a technological eureka.

Peer through our Advanced Healthcare Analytics Solutions at https://www.osplabs.com/healthcare-analytics/

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The Healthcare Information and Management Systems Society (HIMSS), that was set up to dedicate itself to the improvement of Healthcare had it's annual Global Healthcare Conference in February 2019.

HIMSS19 was used as a platform to perform everything Health Information & Technology related, be it a display of your innovative products & solutions, learning about the untapped potentials by the HIMSS19 Speakers or be it connecting and collaborating with colleagues from all over the world in a variety of networking events.

Three of the striking edges of the event were:

1) Interoperability Showcase 2) Data Analytics 3) Patient Engagement in Healthcare

The HIMSS Interoperability Showcase made us realize one thing: Interoperability is regarded as the best solution to transform Healthcare meanwhile Data Analytics in Healthcare has taken the crown of being the most resourceful subject matter and lastly, Patient Engagment and Security has been an important matter of concern that if done right will have a significant impact on the quality of patient satisfication.

The HIMSS Insights we've given in the video is just a fraction of what we've learned at the Global Conference.

If you're planning on attending the HIMSS 2020 event you need to go prepared, take a look at how we prepared ourselves before attending HIMSS19: https://www.osplabs.com/insights/7-smart-lessons-you-need-to-learn-before-attending-himss-conference-2019/

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Champion: The one who supports a cause.

In HIMSS' vision a champion is "a superhero – someone with, perhaps superhuman powers, dedicated to fighting the evils of the universe and protecting the public, but in the Healthcare universe, a champion of health is a very human, who yet fights evils and villains in the form of disease and illness, inefficiencies, high costs, bureaucracy, one-size-fits-all mentality"

The HIMSS19 Champions for Health consisted a lineup of global visionaries -- all who support a single cause that is the betterment of Healthcare.

The HIMSS19 chapter showcased some of the brilliant minds working behind the scenes for the betterment of Healthcare and brought them on the front stage, these Champions of Health are awarded modern Health Practitioners who are leveraging the use of technologies to create drastic improvements in the Healthcare infrastructure.

Meet the Champions of Health for the HIMSS19' Orlando Chapter:

The Transformer, Aashima Gupta, Global Head of Healthcare Solutions

The Researcher, Blake Marggraff, CEO at Epharmix

The Influencer, Herman Monserrate, CPHIMS, CSPO and a Senior Business Architect

The Visualizer, Janne Pitkänen, Human-Centered Design Specialist

The Strategizer, Kevin Carey, CPHIMS, FACHE, MBA, MHSA, Executive Director

The Communicator, Lygeia Ricciardi, Chief Transformation Officer

The Trailblazer, Mohammad Agha, MD, Assistant Professor of Clinical PM&R and Orthopedic Surgery

The Innovator, Rasu Shrestha, MD, MBA, Innovation Strategist

The Disruptor, Saffron Wanger, CHCIO, CPHIMS, Chief Information and Innovation Officer

The Gamechanger, Yolande Greene, MPH, Senior Project Manager

To learn more about the HIMSS19 Conference, take a look at our article: https://www.osplabs.com/insights/7-smart-lessons-you-need-to-learn-before-attending-himss-conference-2019/

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The HIMSS19 Conference held at Orlando, Florida was a week of Innovation, Knowledge and Experience and it closed yet another HIMSS Chapter. The conference consisted of some of the prominent speakers, in this video we have highlighted the thoughts of the HIMSS 2019 speakers.

The HIMSS19 Speakers included in this video are:

Aneesh Chopra, President of CareJourney and the first U.S. Chief Technology Officer.

Karen DeSalvo, Former National Coordinator For Health IT and a Consumer Directed Exchange Advocate.

Michael Leavitt, Founder of Leavitt Partners.

Seema Verma, Administrator at the Centers For Medicare And Medicaid Services.

Hal Wolf III, President and CEO of the Healthcare Information and Management Systems Society (HIMSS).

In association with this the HIMSS society has also included HIMSS Learning Center into their conglomerate to provide educational propositions such as HIMSS Insights and HIMSS Analytics to educate the novice practitioners of Healthcare entering the Industry.

The HIMSS Highlights for 2018 established one notion that HIMSS was going for: Bridging the gaps in Healthcare and making it more accessible, while HIMSS19 took a different path focusing on the Interoperability between systems.

Here are our HIMSS 2019 Takeaways, to read more take a look at: https://www.osplabs.com/insights/7-smart-lessons-you-need-to-learn-before-attending-himss-conference-2019/

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The value of Artificial Intelligence is often understated and also overstating the same is quite difficult.. to get in-depth with how AI is actually bringing changes in Medical Coding Automation, we must properly understand what the basics of what Medical Billing and Coding actually are.

The Medical Coding future consists of softwares that are able to take advantage of Artificial Intelligence, these AI powered Medical Coding Softwares would emerge as a new chapter for Healthcare. For example AI can automate a web-based system that's used to analyze a physicians documentation for the treatment and recognize the relevant medical codes from it's pre defined Medical Coding List. The benefits of Medical Coding using AI is that it can automate the detection of predefined medical billings codes used by insurance companies.

On the other hand, the use of AI in Medical Billing, in context to Medical Coding is on similar lines. Just like Medical Coding Softwares, there are Medical Billing Softwares helping the medical biller translate medical codes and turn them into a financial report all while making sure the amount of errors is minimized as much as possible.

Medical Billing or Coding didn't really require automation until recent times due to the drastic increase in the growth and complexity of modern technologies, if you compare Medical Billing in 2018 and Medical Billing in 2019, you would notice a difference in the types of softwares used then and now.

The Medical Billing Projects taken up by Medical Billing companies in 2019 leans more towards the use of Computer-Assisted Coding to identify and extract data from documents and apply the appropriate codes.

If interested, take a look at our AI based Medical Billing Solutions https://www.osplabs.com/ai-medical-billing/

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Healthcare Revenue Cycle Management (RCM) is a financial process that utilizes medical billing softwares to keep a track of patients right from their registration to their last bill payment. The Healthcare RCM Process consists of components as follows:

- Registration - Financial Counseling - Charge Capture - Utilization Review - Medical Record Documentation - Claims Submission - Third Party Follow-up - Rejection Processing - Payment Posting - Appeals - Contract Management

These processes are included as a part of Healthcare Revenue Cycle Management Services which differ in their features based on the type of software that the Hospital or Clinic is using. The Healthcare Revenue Cycle Services that are provided need to be ensured that they are error-free the reason being that if there's an error present, the revenue recovery just becomes more costly the more and more further the error would travel.

Revenue Cycle for Healthcare ensures that the organizations are paid full amount for the services they've provided and as quick as possible. There are many Healthcare Revenue Cycle Management Companies that have grown along with the times and have adapted to the needs of the Healthcare payers and providers. These are the organizations that provide Healthcare Revenue Cycle Management Softwares & Solutions, and OSP is one of them, perhaps maybe not in the top 10 healthcare revenue cycle management companies, but certainly an underdog. From providing Healthcare Revenue Cycle Analytics that include customized reporting of financial data, information management and providing key performance metrics, we ensure intuitive data visualizations are present to get a better understanding of the reports in a single glance. Errors such as code flaws, inaccurate capturing of patient data, low quality of patient engagement and other factors are analysed using Healthcare Revenue Cycle Analysis softwares in order to get an overview of the situation and ensure that Healthcare Revenue Cycle Management Optimzation is done correctly to leave no room for errors.

In hindsight, Healthcare Revenue Cycle Management (RCM) Outsourcing does not document to being a better fit than Healthcare RCM Softwares.

Connect with OSP to build your own Healthcare Revenue Cycle Management Software Solutions, take a look at https://www.osplabs.com/medical-billing-solutions/revenue-cycle-management-software