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Category Archives: EHr

Driving Operational Excellence in Health Systems: Strategic Alignment of AI, Data, and Resources

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This Week in Health Tech Podcast with guest James Wellman

In today’s fast-evolving healthcare landscape, operational excellence is no longer a luxury—it’s a necessity. Health systems are challenged to balance the clinical demands of patient care with the operational needs of efficiency, cost-effectiveness, and data management. In the latest  episode of This Week in Health Tech, Vik Patel, COO, Tido Inc. welcomes James Wellman, VP-CIO at Nathan Littauer Hospital and Nursing Home. They discuss topic of achieving  operational excellence using the right combination of data, integration, AI, and resources. 

Healthcare organizations can drive operational efficiency through strategic use of data and AI tools by:

  1. Establishing a strong data governance framework with clear ownership, standardized processes, and engaging subject matter experts across the organization.
  2. Transitioning to a robust, cloud-based data architecture that ensures data portability, interoperability, and security.
  3. Carefully evaluating and adopting AI/RPA solutions, starting with automating repetitive processes and augmenting staffing needs, while remaining cautious about potential biases and limitations of AI models.
  4. Aligning technology strategy with overall organizational goals, using data-driven decision making for investments and service offerings.
  5. Prioritizing education and communication across the organization to get buy-in and ensure effective adoption of new data and technology initiatives.

The Central Role of Data in Modern Healthcare

Healthcare organizations generate enormous amounts of data daily, from patient records to operational performance metrics. But without the ability to effectively manage and interpret this data, much of its potential remains untapped. The podcast episode emphasized how data is the foundation of innovation in healthcare, enabling organizations to make informed decisions, predict patient outcomes, and optimize workflows.

One of the critical points raised is the challenge of fragmented data. Often, healthcare systems struggle with data spread across multiple platforms and departments, making it difficult to get a complete view of their operations or patients. This is where Tido’s integration solutions and AI-driven MIDR (Managed Integration Detection and Response) tools come into play, as they are specifically designed to break down data silos and streamline information flow across systems.

3 Steps to Better Prepare for the Retirement of Your Integration Engineer

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Healthcare Mergers and Acquisition

Our extensive experience managing integrations for various health systems has shown that it is quite common for organizations to depend heavily on one or two key engineers. When these engineers retire, it can pose significant challenges. As an IT director or CIO, it is crucial to prepare for this eventuality to ensure a smooth transition and minimize associated risks. Here are three steps to help you navigate this process effectively:

1. Planning for a Seamless Transition

a. Develop a Transition Plan:

  • Overlap Period: Plan for an overlap period where the retiring engineer works alongside new team members for 10-12 months. This period allows enough time for knowledge transfer and for new team members to encounter various interface issues. It also helps them learn organizational processes and build relationships with IT staff and other departments.
  • Engage an Integration Partner: Partner with a firm like Tido Inc., which provides integration solutions and has experienced integration engineers. Our engineers are familiar with every major EHR and integration engine, and they understand the importance of developing working relationships with IT and service departments like radiology and lab.

b. Assessment and Future State:

  • Comprehensive Assessment: Conduct a thorough assessment of the current integration environment. This allows the new team to learn the setup and interfaces and produces detailed documentation as a byproduct. This assessment should also include discussions with stakeholders to outline a future state and roadmap.
  • Enhance for Future: Tido’s integration assessments not only document the current state but also create a future vision that aligns with strategic initiatives and provides a roadmap for implementation.

2. Knowledge Transfer

a. Documentation and Guides:

  • Enhanced Documentation: During the transition period, ensure the current engineer works with the new team to update all system documentation, integration processes, and project details.
  • Create How-To Guides: Develop step-by-step guides for critical tasks and recurring issues. Tido’s team has templates to assist in creating comprehensive guides and manuals. We also use tools to make documentation easily searchable by any team member.

b. Training and Mentoring:

  • Knowledge Transfer Sessions: Organize training sessions where the retiring engineer spends dedicated time with the new team to transfer knowledge about different interfaces and special nuances.
  • Mentoring: Recognize that the retiring engineer has extensive knowledge of interfaces, organizational processes, and application workflows. Tido Inc. allows the retiring engineer to mentor and work closely with our team, who have been through similar transitions before.

3. Communication Plan

a. Internal Communication:

  • Inform Team Members: Clearly communicate the retirement plan and transition timeline to all relevant team members and stakeholders. This includes the IT team and other department managers and directors. Specially include communication about how to reach support for integration issues if this process will change. Tido’s team can share examples of previous communication plans and help draft these communications if needed.
  • Provide Updates: Keep the team informed about the progress of the transition and any changes to processes or responsibilities, especially support processes.

b. External Communication:

  • Notify Partners and Clients: If the retiring engineer has direct contact with external partners or clients, inform them of the change and introduce the new team.

Benefits of Partnering with Tido Inc.

  • Expertise: Tido’s team has over 15 years of experience providing integration management and support to health systems across North America.
  • Continuity: We ensure smooth, uninterrupted operations during transitions.
  • Scalability: Tido Inc. can scale services according to your needs, providing additional resources if required.
  • Cost-Effective: Our solutions are cost-effective, saving you the expense of hiring and training new personnel. You gain access to an experienced integration team rather than relying on a single individual.

By following these three steps and leveraging the expertise of Tido Inc., you can ensure a seamless transition, effective knowledge transfer, and clear communication, maintaining the integrity and efficiency of your integration systems. Need more information? Please contact us.

How to leverage your integration engine for seamless EHR Migration and reduce upgrade costs?

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Health System Integration

In the complex landscape of Electronic Health Record (EHR) migration, having a robust integration engine managed by an experienced integration team can be a game-changer for health systems. Integration engines like Cloverleaf, CorePoint, InterSystems, Mirth, Rhapsody, Jaguar, Qvera, and others play a pivotal role in streamlining data flows and connectivity. Here’s why taking advantage of these engines can significantly ease the challenges associated with transitioning to a new EHR and also reduce costs associated with other vendor contract updates.

1. Streamlined Connectivity Timelines:

  • Having an integration engine already connected to downstream systems means a head start in the migration process. For instance, if your current EHR is sending Admission, Discharge, Transfer (ADT) messages and Orders to a Cardiology system, the workflow with the future EHR will likely perform the similar functions. This continuity significantly reduces the time spent on establishing new connections, as the connections between integration engine and the downstream system are already in place.

2. Cost-Efficiency and Resource Optimization:

  • Integrating a new EHR is a resource-intensive process. Utilizing an existing integration engine not only saves time but also contributes to cost-efficiency. The ability to repurpose established connections minimizes the need for additional infrastructure setup, ultimately optimizing resources. Depending on the workflows, timelines, etc. it may not be necessary for the downstream system to create any new interfaces, since the engine could be leveraged to send test messages from the new EHR test environment and also the existing EHR test environment. This could help significantly reduce contract update costs with the downstream system vendors.

3. Consistency in Data Routing:

  • When migrating EHRs, one of the challenges is rewriting existing interfaces. However, with an integration engine, you have the advantage of maintaining consistency in data routing. For example, even though the new EHR might require testing interfaces, your integration team can leverage the existing connections in the engine. This means that ADTs and Orders from the new EHR’s test environment can be seamlessly routed within the engine, eliminating the need for establishing new VPN tunnels or ports.

4. Optimizing Interface Reuse:

  • Many EHR vendors may create new interfaces to accommodate the testing phase of the new system. However, having an integration engine allows for intelligent interface reuse. The engine allows your integration team to review existing interface modifications, mapping etc. and provides a head start for interfacing with the downstream system. Existing interfaces could be cloned and modified as needed based on the messages from the new EHR.

5. Flexibility in Testing Scenarios:

  • The versatility of integration engines enables your team to adapt to various testing scenarios. Whether the new EHR necessitates specific configurations or adjustments, the integration engine provides the flexibility to handle diverse requirements without compromising on connectivity. Combining test automation with the engine can help clinical and IT teams test all possible scenarios without needing to take up valuable time from clinical resources.

Conclusion:

In the intricate landscape of EHR migration, the role of integration engines cannot be overstated. By leveraging the connectivity already established through these engines, health systems can navigate the migration process with greater efficiency, reduced timelines, and minimized disruptions. As technology evolves, integration engines stand as invaluable assets, ensuring seamless transitions and continuity in healthcare data management.

For over 15 years Tido Inc. has been partnering with health systems for EHR migrations and integration management. If you have any questions or need assistance with your health system’s ehr conversion, contact us today. We are here to support you in navigating the challenges of EMR migration and ensuring a smooth transition for your organization.

Navigating Ambulatory EMR Data Conversion: A Step-by-Step Guide

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Physician EMR

Introduction:

Transitioning to a new Ambulatory Electronic Medical Records (EMR) system can be a complex yet essential process for healthcare providers looking to enhance efficiency, streamline workflows, and improve patient care. Ambulatory EMR data conversion requires careful planning and execution to ensure a seamless transition without compromising patient care. In this blog post, we’ll guide you through the crucial steps of this conversion process.

Step 1: Comprehensive Planning and Assessment

Before diving into the conversion process, create a detailed plan that outlines the scope, objectives, and timelines. Engage key stakeholders, including clinicians, IT personnel, and administrators, to gather insights and ensure a comprehensive understanding of the requirements. Identify the specific requirements of your healthcare organization, considering factors such as data volume, system compatibility, and workflow preferences. Identify potential challenges and develop contingency plans.

Step 2: Data Inventory

Take stock of your existing data. Identify the types of information stored in your current EMR system, including patient demographics, medical history, prescriptions, and any customized data fields. This inventory will inform the mapping and migration process in later steps.

Step 3: System / Vendor Selection

Choose a new ambulatory EMR system that aligns with your organization’s needs and goals. Consider factors such as user interface, scalability, interoperability, and vendor support. Ensure that the selected system complies with industry standards and regulations.

Step 4: Data Mapping

Create a detailed mapping of data elements from your existing EMR system to the new one. This involves defining how data will be transferred and ensuring that equivalent data fields exist in the new system. Pay attention to any variations in coding systems, data formats, or terminology.

Step 5: Data Extraction

Use specialized tools to extract data from your current EMR system. Ensure that the extraction process maintains data integrity and security. This step involves exporting patient records, clinical notes, lab results, and any other relevant information in a structured format.

Step 6: Data Transformation

Prepare the extracted data for migration by transforming it into a format compatible with the new EMR system. Address any inconsistencies, duplicate records, or discrepancies in data structure. This transformation ensures a smooth and accurate transition of information.

Step 7: Data Migration

Execute the actual data migration process. Depending on the size of your organization and the complexity of your data, this may be done in phases or as a complete migration. Monitor the process closely to identify and address any issues promptly.

Step 8: Testing

Conduct thorough testing of the new EMR system to ensure that data has been accurately and completely transferred. Test functionality, data retrieval, and interoperability with other systems. Engage end-users in the testing process to gather feedback and address any concerns.

Step 9: Training

Provide comprehensive training to staff members on the new ambulatory EMR system. Ensure that users are familiar with the system’s features, functionalities, and best practices. This step is crucial for a successful transition and optimal utilization of the new system.

Step 10: Go-Live and Post-Implementation Support

Implement the new ambulatory EMR system in a controlled manner. Monitor its performance closely during the initial days and weeks. Offer ongoing support to users, addressing any challenges that may arise. Gather feedback and make necessary adjustments to optimize system usage.

Conclusion:

Ambulatory EMR data conversion is a multifaceted process that requires careful planning, meticulous execution, and ongoing support. By following these steps, healthcare organizations can streamline the transition to a new EMR system, ultimately enhancing patient care and operational efficiency.

For over 15 years Tido Inc. has been partnering with health systems and physician practices for data conversions. If you have any questions or need assistance with your health system’s data conversion, contact us today. We are here to support you in navigating the challenges of EMR migration and ensuring a smooth transition for your organization.

 

Value Based Care Technology!

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Value Based Care

Effective chronic disease management is the backbone of value based care and will be increasingly important in the coming decades. Value Based Care (VBC) has been getting a lot of press lately, currently it still represents a small fraction of revenue. This will likely be changing in the coming years as insurers look to reduce total spend and Medicare contracts with private enterprise increasingly rely on better chronic disease management to reduce complications.

Effective chronic disease management requires higher patient engagement and more frequent monitoring. These things typically require more time from clinical staff. There are increasing options to utilize different technologies to implement these programs, alleviating the burden on clinical teams while allowing them better insights to patient’s condition and better information to more effectively and quickly respond to changes.

There are a myriad of companies and apps promising to revolutionize chronic disease management, but how do they integrate? Does the intervention need to be all that complicated? What works for your patient population? If what works for your patient population is not available on the market today, can you effectively integrate remote monitoring technologies into your current environment?

Why do nurses always ask so many questions?!

Who knows your population better than your team of clinicians that works with them every day? They know what works and what doesn’t, the challenges patients face, the challenges they face in their daily practice. Building a whole platform can be complicated, and sometimes unnecessary. Monitoring weight for your heart failure patients can be accomplished with a scale, does the scale need to be connected? With that there will be a thousand more questions about the ability of the patient to have a connected device, want to know all the troubles? Ask the clinical staff, they already know, they’re already helping patients address these challenges.

Clinical teams can help get a remote monitoring program off the ground fairly quickly. The challenge? Getting the integration right. Rather than setting up a blue tooth connected scale, maybe it’s more effective to just text the patient every day and ask their weight. Simple, easy reminder, intuitive to use, doesn’t require a lot of support to get and stay connected.

Sometimes there is a ready made app for that. There’s an app for everything! Integrating and managing these different applications can be cumbersome. It can be beyond the expertise of IT teams who are focused on support and physical infrastructure. Poorly executed integration and support can reflect poorly on the organization, from the patient perspective and the clinician’s.

Getting the workflows right is key to digital adoption and getting the most out of IT investments. Partnering with clinical teams to get this right is key to a successful program, making sure information is going to the right place, getting to the right people, and being addressed in a timely manner.

Tido Inc. can help with a variety of digital packages, services like digital app management, custom mobile and web applications and EHR integration. For over ten years we’ve been partnering with health systems and practices on digital strategy, and systems monitoring. As more pressure is put on revenues, leveraging the most out of the current IT infrastructure will pay bigger dividends down the road, contact us and we’re happy to see how we can work with you.

Healthcare technology in 2023 and beyond!

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Healthcare 2023

We’re not making definitive predictions here, but the rapid changes seen in healthcare have been remarkable these past years, and going into 2023 we can be certain there will be new challenges and opportunities. We do expect some themes to continue into 2023 and beyond.

Challenging margins for health systems and independent practices. As reimbursements to health care organizations has languished, the importance of ensuring the maximum returns on existing investments will be key. Over the past decade there have been massive investments in new systems and networks, every part of healthcare operations has been connected to a tech-enabled system. To realize the gains promised these networks need to be functional and reliable. Are your systems working like they’re supposed to? Or does the staff have the impression that ‘nothing works like it supposed to!’ Disconnected applications or unforeseen application issues can cause significant delays, frustrate staff, and waste valuable time. Applications and Integration monitoring can ensure those technology investments are pulling their weight and maximizing return, supporting clinical staff and powering seamless operations.

Healthcare worker burnout and moral injury are likely to be concerns into 2023 and beyond. Network reliability can be a source of frustration for clinicians, reliable systems are one component of providing a high quality experience, interfaces and tools that provide a better working environment will certainly be another. The proliferation of apps and tools to enhance user experience for both patient and clinician will likely continue, albeit at a slower rate than prior years. Having the best possible tools and apps can be a key strategy to keeping employees engaged and patient focused, whether it is a third party app or custom mobile and web applications, new solutions will continue to be front and center.

Over the past few years we have seen a massive shift in how healthcare is delivered, from a largely in-person environment toward more telehealth and virtual solutions than ever before. While there has been slowing in the market for many of these independent services, telehealth will continue to be a necessity for any health service moving forward. In a distributed clinical environment current systems may not be enough to have a fully functional clinic. EHRs optimized for in-person care may not work with distributed clinical staff, will other solutions be utilized? What portions of intake can be automated, how will those answers be populated into the EHR and get to right clinician at the right time? Is the right patient information populating over, medication history, allergies, radiology reports, the list can be daunting. If a new system is being implement over existing infrastructure ensuring adequate testing and integration will be key to enabling high quality patient care. Moving to a new EHR can pose even more challenges, migrating data is complex and requires a high degree of certainty. Managing these data sharing challenges will continue to be a priority as care becomes more distributed beyond a single physical site.

Maybe we’ll offer one prediction for 2023… Tido Inc. will be here and continue partnering with health systems and practices to face a challenging and changing technology landscape! Reach out today, we’re happy to work with you to face the healthcare challenges in this year, and beyond.

Have the holidays driven us crazy? Crazy about AI maybe!

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AI in Healthcare

Have you heard all the rage in AI? ChatGPT was making the rounds last few weeks as it was open to the public to play around with. The website is pretty cool, but it did take me a few days to get on it to play around due to traffic. For last week’s blog post I decided to hop on the bandwagon and see if Artificial Intelligence could replace a content writer’s Human Intelligence (insert sarcastic comment). Don’t tell the boss I did this though, AI doesn’t have bills to pay. Seriously though, the other blog post last week was written by ChatGPT.

Whether AI, ML, or other letter combination when it comes to advanced computing, there is no doubt that language processing will find it’s way more and more into healthcare. How do I know this? Because AI told me so, go read the other post!

Integrating AI effectively into the clinical space can help nursing in a variety of ways. It can be used to aggregate information on a single patient about their current visit and past visits to help guide interventions. It can also be used to effectively aggregate patient data from large populations to help study the effectiveness of new interventions vs past interventions.

Maybe we use the AI to write custom discharge instructions that are patient specific and relevant to their care? Starting off with a basic template this can be really powerful to drive better engagement and adherence to instructions. Current discharge instructions are often pages long with information dispersed throughout a large packet, providing a succinct summary can make it much easier for patients.

ChatGPT was initially devised as a chat bot, often rudimentary forms of chatbots can be found for patient intake for medical practices, urgent care, or to guide patients toward specialists. If we can better aggregate these sessions into a basic medical history or offer guidance toward potential diagnosis, then there can be significant time savings just on the nursing triage.

Pretty cool stuff that has the potential to really improve healthcare by helping the clinician and the patient alike.

With integrating any computer process automation there are several concerns that arise.

What is the reference source material? In the case of ChatGPT it uses large databases of published material, this can include unverified sources or opinion pieces. With any AI/ML, knowing the referenced source will be important.

Is the output relevant? AI can be confused, just like me, but we often use slang terms that AI may not recognize, this can lead to some weird output. The output definitely needs to be reviewed by professionals.  In the other post there are number of inaccuracies when it comes to the semantics, but they do matter.

How will it be integrated? Is it clear to patients when they are interacting with AI vs. a real human? If not it can be upsetting and cause patients to lose faith in the care system.

How much do we rely on AI? FDA regulations are starting to address this in terms of decision support, but how far AI goes into making patient care and treatment decisions that may fall into a gray area that can be difficult to navigate and ultimately requires a trained professional to adjudicate.

Tido Inc can help your organization answer these questions and help to integrate or develop applications so your organization can effectively leverage AI and ML to help improve clinical workflows and experience.  Now let’s see how much Holiday shopping has messed with my Amazon algorithms!

AI will revolutionize nursing! – Written by AI

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AI in Healthcare

As we continue to advance in the field of artificial intelligence (AI), it’s becoming increasingly clear that this technology has the potential to revolutionize the way we approach healthcare, including the field of nursing. In the next few years, we can expect to see AI being used in a wide range of applications, from improving the accuracy of medical diagnoses to helping nurses manage their workloads more effectively.

One of the most exciting ways that AI is set to transform nursing is through its ability to improve the accuracy of medical diagnoses. AI algorithms are capable of analyzing vast amounts of data, including medical images and test results, to identify patterns and make predictions about a patient’s condition. This can help nurses to make more accurate diagnoses, and it can also help to identify potential health problems before they become more serious.

In addition to improving diagnostic accuracy, AI can also be used to help nurses manage their workloads more effectively. By analyzing data on patient visits and treatment outcomes, AI algorithms can help to identify trends and patterns that can be used to improve the efficiency of healthcare delivery. This can help to reduce wait times and improve patient outcomes, while also allowing nurses to focus on the patients who need their help the most.

Another way that AI is set to transform nursing is through its ability to improve the effectiveness of certain treatments. AI algorithms can be used to analyze the data from clinical trials and other studies to identify the most effective treatments for specific conditions. This can help nurses to make more informed decisions about which treatments to prescribe to their patients, which can lead to better health outcomes.

Overall, the potential of AI to transform nursing is enormous. As we continue to develop and refine these technologies, we can expect to see a wide range of benefits for both patients and nurses. Whether it’s improving diagnostic accuracy, helping nurses manage their workloads, or identifying the most effective treatments for specific conditions, AI has the potential to make a huge impact on the field of nursing.

**This blog post written by AI, I was busy and had holiday shopping to do.  Here was the request:  “Write a 500 word blog post on how AI will transform nursing in the style of Johnathan Klaus”

Tido Inc. can help with digital strategy and custom applications!

Healthcare M&A… Another present for the holidays?

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Healthcare Mergers and Acquisition

HLTH 2022 has come and gone and the technologies out there promise great things from healthcare in the future, but these technologies take time to mature and prove there efficacy. While there is hope for the future, the specter of decreased valuations and funding looms over an industry poised for change. There is one thing has been clear these past few months, consolidation is continuing, the holiday sales season is in full swing for the healthcare industry. While a large merger, or smaller consolidation may be an early holiday present for executives and investors, it creates challenges and headaches for IT teams and clinical staff. Tylenol certainly won’t help cure these woes.

Migrating different EHR systems is probably the largest hurdle, but there are also systems for pharmacy and radiology that can create a nightmare for IT teams that are already taxed maintaining existing systems. The additional burden can be overwhelming and cause systems to grind to a halt.

For clinical staff focused on seeing patients and taking care of their needs, the disruption to smooth operations can likewise be overwhelming. Did all the information transfer over? Has a patient’s medication allergy been missed? Has an existing medication been missed that could interact with a new one? These are concerns that need to addressed to put the clinical staff’s mind at ease and ensure that they can provide the best possible care to the patient’s.

Beyond patient safety concerns, there are also productivity concerns. Ineffective integration can lead to slowdowns in clinics, creating long wait times and dissatisfaction among staff and the patients who are waiting to be seen. Missing radiology reports, delays in diagnostic testing, lab results not showing, and prescriptions not getting routed properly are just some of the problems that can arise without proper integration and testing of systems.

Clinical staff are not IT experts and likely have little idea of what happens behind the scenes to ensure the smooth flow of information and data that enable safe and effective care. The clinical teams just want systems that work. When systems fail clinical staff safety can be compromised, staff frustration will grow as they resort to work-arounds. Most clinical staff have experienced this when EHRs and other systems were first rolled out, they are often jaded by these experiences that were disruptive and disconnected.

How do you ensure that transition to a new EHR will populate the data where it is expected? Will there be conflicting patient information? Will the images be migrated over to the right patient? Will prescriptions be sent to the pharmacy?

There is no end to the questions from clinicians about how it will work and what the experience will be after. How prepared are the teams behind the scenes to enable this migration? Do IT teams have the experience necessary to carry out this operation in an efficient and effective manner, after all, it’s not something they do every day.

There are many stresses associated with mergers and consolidation, IT systems should not be one of them. Tido Inc. can help handle these questions and work with IT teams to enable efficient and effective systems integration and migration. Check out Tido’s integration and migration packages.

Winter is coming…

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Birds migrate south for better climates.  Is it time to start re-evaluating your EHR climate?

Well known among clinicians are the challenges with many EHR systems, troubling user interfaces, difficulty navigating screens, and the number of mouse clicks required for even the most mundane tasks. As different EHR systems improve and provide more user-friendly interfaces, the challenges associated with choosing the best system for patient care should not be insurmountable.

Staff have finally gotten used to the existing system, so why change? Just because the current system is what everyone is used to, does not necessarily mean it is the best choice.

Health systems and physician practices have more choices than ever for EHR systems. Cloud based systems allow great flexibility and decreased infrastructure costs, traditional licensed software systems can offer more customized security and storage options. Practices may outgrow one EHR and have a need to move on to a new one, maybe the price has become prohibitive, maybe the nature of the practice itself has changed. The reasons for changing the EHR can be numerous.

Physicians, nurses, techs, and whole practices have likely spent countless hours customizing interfaces, connecting numerous devices and apps, and reducing their reliance on fax machines. Choosing a new EHR, for whatever reason, should not be a step backwards.

How do you choose a new EHR to begin with?

How do you handle the data migration?

What about all the existing patient data?

What about all the clinical workflows?

Where do you even start?!

Larger health systems may have an army of IT specialists at their disposal to help answer these questions, but even for large systems a migration of this size is a challenge. Are there the right people in place to begin with? What does the current infrastructure look like, can it even support a new system? For smaller hospitals or independent practices all these questions can seem overwhelming.

In 2016 the ONC published a guide to selecting EHR vendors, while published six years ago, the information is still relevant. For clinical and patient care staff one of the most important questions to be answered is whether or not the patient’s information will be present on day one. All patient data and information should be readily available to provide the continuity of care that everyone expects. All equipment used to enable patient care should be connected and functioning from day one.

Anyone who has been through systems and EHR implementations in healthcare is likely aware of the challenges and pain points that can occur. No matter how much training and testing has been completed, on day one, there will be questions and something will be missed. Clinical staff want systems that just work, and if something is broken, they want it fixed quickly so they can focus on their patients.

If you’ve experienced the challenge of implementing an EHR system, the thought of migrating to a new one might give you nightmares. Don’t let data migration, testing, and support be a barrier to implementing the best system for clinical staff and patients. Tido Inc. can help answer many of these questions with advisory services and assist with EHR migration and post go-live support.