LatchBio Now Provides Lots of Data

High-deductible health plans have become common since the Affordable Care Act started in 2010.About 30% of U.S. workers with employer insurance have plans with deductibles of $1,400 or more for individuals and $2,800 or more for families.Deductibles have gone up by 61% for single coverage, and employer-sponsored premiums have risen by 43% over ten years.These higher costs mean patients have to pay more money themselves. Many patients now face large costs before insurance starts paying.These costs include copayments, coinsurance, and deductibles.The average out-of-pocket costs are expected to rise about 5% every year.Because of these costs, 38% of Americans delayed or avoided care in 2022, according to a Gallup poll.For low-income patients or those with long-term health problems, this can mean skipping needed treatments or medicines.This often leads to worse health and more hospital visits that could have been avoided. Because patients owe more money, medical offices find it hard to collect payments.Usually, practices collect less than 60% of patient payments, which make up about 30% of total provider income.This causes more bad debt and puts money pressure on healthcare providers. Why Patient Collections Remain a Challenge Old payment systems were made mainly to get money from insurance, not patients.This causes trouble when bills are sent to patients instead of insurance.Providers usually get most insurance payments, but patient payments often fall behind.Several reasons lead to this problem: Patient Awareness and Understanding: Many patients find insurance words hard and bills confusing.About 53% say they feel stressed trying to understand what insurance covers and what they owe.This confusion can cause late payments or upset feelings. Delayed Payments: Research shows payment chances drop a lot after the patient leaves the clinic.For example, chances to collect money fall by 62% once a patient leaves the office or hospital.Small bills (under $35) are more likely to be paid, but bills over $200 have very low payment rates—only about 6% get paid. Uncollected Balances: Big bills over $200 make up almost three-quarters of all unpaid patient money but are paid at very low rates.This shows how hard it is to get money from patients who owe large amounts. Financial Barriers: Nearly 20% of Americans have medical debt sent to collections, adding up to about $140 billion across the country.Many patients are not ready for these costs.About 53% of people with high deductibles have less saved than their deductible amount. Staff Burden and Administrative Strain: Office workers and billing staff have extra stress managing patient collections.They often lack proper tools.This raises their workload, causes mistakes, and slows work.These problems lead to losing more money. Impact of Rising Deductibles on Patient Experience and Revenue When patients have to pay more, it changes their experience and the money health providers make. Delayed Care and Avoidance: Higher costs make patients wait or skip care.This hurts their health and lowers provider quality scores. Decreased Patient Satisfaction: A 2021 study found nearly 40% of patients unhappy with billing.Also, 63% would think about changing providers for better billing.And 93% say billing matters in deciding to return to the same provider. Revenue Disruption During Deductible Season: Deductible season runs from January 1 to about May.This is when patients use up their yearly deductibles and start paying more out-of-pocket.Costs go up then, which delays payments and adds work for finance teams.The average day patients meet their deductible has moved later, now around May 19.This makes the time patients pay more longer. Increased Bad Debt and Costs: With poor collection and delayed payments, providers face more bad debt, less cash flow, and higher costs for follow-ups. Best Practices and Strategies to Improve Patient Collections Providers must change how they collect money.Here are some ways that help collect more, reduce bad debt, and keep patients satisfied: Verify Insurance and Deductible Status EarlyCheck insurance benefits, limits, and deductibles before appointments.This helps set clear money expectations.Using technology to check this early prevents surprises and prepares staff and patients for payments. Communicate Cost Transparency ClearlyProviders should give accurate cost estimates before care.This is required by laws like the No Surprises Act.Clear costs build trust and encourage on-time payment. Collect Payments at Point of ServiceMoney is more likely to be paid at care time.Practices should collect deductibles and copays upfront when possible.This can raise collections by 40% or more. Offer Flexible Payment PlansPayment plans that fit patients help them pay on time.These let patients spread out costs without needing credit cards.This also helps keep patient loyalty. Use Flexible Payment MethodsOffer many payment options like online portals, mobile pay, text-to-pay, or card-on-file.Almost 70% of patients prefer online payments because they are easy. Train Staff in Patient CommunicationTeach front-office staff to talk about money clearly and kindly.Good talking can increase payment collections while keeping good patient relations. Leverage Analytics and Propensity-to-Pay ModelsUse data to find out who can pay and how much.This targeted effort makes collections better. Outsource Complex Revenue Cycle TasksGive hard billing work to outside experts.They bring better technology and skills.This helps offices collect better without adding staff. The Role of Artificial Intelligence and Workflow Automations in Patient Collections AI and automation are changing how providers collect money and manage payments. Automated Patient Financial EngagementTools like payment portals, electronic statements, phone systems, and text reminders make it easier to communicate and pay.Providers using these tools see fast improvements.Research shows these tools improve patient experience and collections. Real-Time Insurance Eligibility and Payment VerificationAI systems check insurance and financial responsibility right before appointments.This makes payments clear and cuts down on claim denials, which happen about 15% of the time.This helps providers ask for the correct payment at the right time. AI-Driven Payment Collection AgentsAI can handle routine billing questions, payment reminders, and follow-ups 24/7.This lightens staff workloads.Platforms like Simbo AI give phone answering and payment collection services automatically.This helps keep communication steady without burdening staff. Predictive AnalyticsAI looks at past payment data and patient money info to guess who might not pay.This helps providers focus efforts where it matters most.These models guide payment plans and bills. Integration with Electronic Health Records and Billing

Ahead of Intelligent Health (13-14 September 2023, Basel, Switzerland), we asked Yurii Kryvoborodov, Head of AI & Data Consulting, Unicsoft, his thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   Generative AI is just a part of the disruptive impact of all AI tech on the healthcare industry. It allows to dramatically reduce time efforts, costs and chances of mistakes. Generative AI and LLMs are applied to automating clinical documentation, drug discovery, tailoring of treatment plans to individual patients, real-time clinical decision support and health monitoring, extracting valuable insights from unstructured clinical records, streamlining administrative tasks like billing and claims processing, providing instant access to comprehensive medical knowledge. And this list continues.

We sat with Benjamin von Deschwanden, Co-Founder and CPO at Acodis AG, to ask him his thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   I think that the strength of Generative AI lies in making huge amounts of information accessible without needing to manually sift through the source material. Being able to quickly answer any questions is going to be transformative for everyone working with increasingly bigger data sets.The challenge will be to ensure that the information we get by means of Generative AI is correct and complete – especially in healthcare – as the consequences of wrong data can be fatal. We at Acodis are actively working on practical applications of Generative AI inside our Intelligent Document Processing (IDP) Platform for Life Science and Pharma clients to drive efficiency and accelerate time to market, whilst controlling the risks.

Intelligent Health 2024 returns to Basel, Switzerland on 11th–12th September. We’ve got prominent speakers. An extensive programme. Groundbreaking advancements in #HealthTech. And much, much more. Our incredible 2024 programme will dive deeper than ever before. From sharing the latest innovation insights to exploring use cases of AI application in clinical settings from around the world. All through our industry-renowned talks, limitless networking opportunities, and much-loved, hands-on workshops. Read on to discover what themes await at the world’s largest AI and healthcare summit. 

We sat down with Margrietha H. (Greet) Vink, Erasmus MC’s Director of Research Development Office and Smart Health Tech Center, to ask her for her thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   The integration of Generative AI and LLMs into the healthcare industry holds the potential to revolutionise various aspects of patient care, from diagnostics and treatment to administrative tasks and drug development. However, this transformation will require careful consideration of ethical, legal, and practical challenges to ensure that the benefits are realised in a responsible and equitable manner.