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How to Integrate Telehealth with the EHR

Dr. B. Ravali Dr. B. Ravali Oct 12, 2020 / 3 mins read

The surge in Digitization has altered our spheres. As industries witness a rise in Digital Transformation, the healthcare industry is no exception. Most healthcare providers are now using EHR systems for recording, tracking, and analyzing their patients’ assessments.

The recent technological advancements have certainly propelled the demand for virtual visits and online monitoring. The increasing use of clinical intelligence records an overall 95% hike in the deployment of EHR systems.

How to Integrate Telehealth with the EHR

However, as healthcare providers rely on EHR for clinical documentation, increasing efficiency, and managing operational costs, integration of the telehealth systems with EHR remains a concern. The challenge of data integration is increasing and becoming a primary concern for most healthcare organizations’.

A successful telehealth integration with EHR offers data-driven decisions and overall clinical documentation improvement. As clinical documentation is a tedious and complicated task, telehealth integration is of great significance. Thus, we suggest a flexible and agile method of integration that determines the success of data integration in the long run. Following a step-by-step process can help you develop a smooth integration process.

Here are a few ways on how you can efficiently integrate telehealth with EHR:

  1. Data Acquisition:
    Data is integral. Complicated data flows can expend time and money. Hence it is imperative to maintain a data pool that can seamlessly connect with other EHR systems. This should be simple and effectively capable of integrating data from every kind of EHR system.

  2. Using Data Lakes:
    Seamless flow of data has always been perplexing. A data lake helps you streamline data into a centralized repository. Data lakes allow you to store all data as-is. You can store data both as a structured and unstructured data format. You can then structure and run various programs offering better data processing and real-time analytics.

  3. Data Standardization:
    Inconsistent data format can be a serious impediment to business efficiency. In such a scenario, data acquired must have a standard format. Using advanced data mappers and standardized coding, we can bring all patient intakes into a single format. This increases performance and competence for the clinical documentation.

  4. Data Duplicity:
    Double data information of the same patient intake can be confusing. Standardized data formats should be able to recognize duplicate and wrong data inputs. Data lakes support in recognizing incomplete records, outdated data, or any incorrect data. It also helps in identifying if any data has passed through bad parsing of fields through incongruent systems.

  5. Data Quality:
    Good quality data is of paramount importance. Agile algorithm by data lakes helps in identifying non-standard column values, missing volumes, and bad data. It allows us to scan the data to find if there are any broken transformations. In case of any such discrepancies, the developers get an alert with corrective measures. They can follow it to maintain absolute data integrity.

  6. Data API:
    Automating data entry can save time, cost, and reduce stress for clinicians. As manual entry can be pestering, developing API can lead to seamless data flow between telehealth solutions and EHR systems. APIs offer scalability, security, and encryption of data. With API development clinicians can attempt to call in any kind of data specific to their healthcare needs. They can be customized and used for specific functions.


Why is EHR and telehealth integration important?

Ensuring enhancement and robust outcomes, integration of EHR and telehealth solutions are an optimum solution for clinical efficacy as it -

  • Helps in developing a comprehensive patient assessment flowchart.
  • Supports providers with the latest information on any patient data.
  • Supports providers with real-time and accurate clinical documentation.
  • Provides effective cost and time management in case of increased patient volume.