Implementing effective Population Health Management takes more than just Analytics

Hospitals and care providers are rapidly adopting Pophealth Management Solutions to enhance clinical outcomes at lower costs.

Effective implementation of a Pophealth Management Program (PHM) requires diverse systems that aid in seamless functioning. For example, an effective analytical platform for service providers helps in diagnosing high-risk patients and deploying preventive care. Adoption rate of  best healthcare practices should be high for effective Population Health Management. Dynamic healthcare organizations are able to implement this change with ease.

Pophealth Management is a vast concept that deals with huge groups of demographics, and so, putting these practices into reality becomes a challenge, particularly for IT platforms. Integrating and streamlining systems across various organizations is tough.

 

The essence of Pophealth Management (PHM) is data. Business Intelligence tools are used to collect, aggregate, and analyze patients’ data and share  it with other service providers. Health systems can choose to deploy suitable  Electronic Health Records (EHR) solutions. They are dime a dozen with varying functionalities.

Population Health Management

However, the variety in functionality raises some challenges for Population Health Management platforms and healthcare providers. Let’s take a look at some of these challenges.

  1.  Inconsistent technology implementation

Achieving meaningful use is the prime objective for all the Health systems. Implementation of EHRs, particularly in-premise is tricky in terms of  standardization. For example, every Epic implementation is different at different health systems. Based on the needs several functions are either disabled or modified to meet internal workflow. This is where the actual challenge starts for interoperability. While HL7 has been working hard to get this standardization in place, most of the information exchanged depends on how the systems are set while configuration. Real example is exchange of CCD. No two health systems can provide CCD info a the way it is supposed to. The terminologies, symbols, abbreviations, formats, etc. can differ from one system to the other. This makes it difficult to share data between healthcare service providers. The differences in method can lead to misinterpretation of important data. Since there is little or no way to control how EHRs are implemented, a consolidation process is required to simplify and regulate the process of data sharing and understanding across different systems.

 

  1. Conditional access to data

In many instances,  data is not freely available across various systems. There are regulations stating free data is a mandatory entity, but there is still a fair amount of inconclusiveness surrounding data ownership and distribution. This data is spread over healthcare service providers and organizations, health information exchanges (HIE) and Population Health Management Solution Vendors. There are often claims of ownership by these systems that prevent access of data by others, resulting in resources being expended for obtaining it.

 

  1. Universal patient indexing

This is one of major IT challenges faced by  Population Health Management platforms and even individual healthcare management service providers. There has been a long-standing need for creating a universal patient database that allows all patient related data to be indexed and easily accessed by any healthcare system. There is no efficient patient index or patient matching process that can easily provide access to anyone who raises a query for the patient’s data without creating duplicate records.

There is an even greater need for having a robust enterprise Master Patient Indexing tool  in place because of the sheer number of Population Health Management and EHR systems and their varied functionalities.

 

  1. Scattered patient info

Virtual portals can become challenging for patients to use because they are scattered over functionalities and there isn’t one single channel for carrying out all functions. For example, a patient portal software can have separate gateways for payments, emergency consultations, regular check-ups, primary healthcare physicians, prescriptions, etc. This makes it tedious and often confusing for patients to navigate around the interface. Hence, there should be a more consolidated software that has a one-for-all portal for patients.

 

  1. Undefined telemedicine and telehealth technologies

The strategies for telehealth and telemedicine technologies are still not clearly defined. There is a lot of ambiguity and irregularity regarding software and their workings. Issues that are yet to be addressed include compatible remote monitoring devices, access to required resources, streamlining the processes, finding sufficient and qualified care providers, etc.

 

  1. Healthcare analytics

High-risk patients need precautionary and proactive care to prevent an occurrence of serious, life-threatening episodes. This requires tracking their health data regularly and sharing it across various healthcare management systems for others to access as well. An important aspect of this is being able to track the vital signs, tendencies, and current conditions using analytics to estimate the chances of future episodes. There isn’t a universal and proper software to perform these functions. Healthcare analytics for patient-provider interaction, various health conditions, care planning, claims, case management, clinical decisions, etc. makes it easier to service providers and patients alike to have a more seamless experience and less confusion.

 

Now what?

Despite all the challenges, healthcare industry is geared up for innovation. It clearly understands how technology can open doors to new opportunities. Industry is in midst of transition from old fee for service to value based care model, all of the challenges need to be resolved.

While the financial aspect continues to be a significant concern, healthcare CEO’s are working towards identifying technology solutions that can address the regulatory CMS mandates, quality scores, population health management and patient satisfaction, tolerate risk in value based world, all hitting hard on the bottom line.

Right technology solutions that do not come with a heavy price tag, and have ability to consolidate, aggregate, and process data to  enhance clinical outcomes, are the key.

Faichi’s SingleView is one such solution that is flexible, scalable, and data-driven approach to get a 360-degree view of your business information. The solution is designed to identify duplicate suspects, and data normalization  It effortlessly consolidates healthcare information into a single view irrespective of data formats. There are a lot of investments happening around the area of Population Health Management. Having said that key to success will depend on combination of three (technology, execution and content).  Faichi Solutions is in healthcare technology space for quite some time now and serves to provide better solutions that streamline processes and systems for enhanced and smooth functioning. We offer wide range of healthcare IT services from Product development to Implementation and support for Electronic Health Records (EHR), integration services, Business Intelligence and analytics, healthcare information systems and remote care technologies.

We can help you quickly lay your analytical architecture which can be further used for:

  1. Advanced analytics for Population Health
  2. Clinical decision support
  3. Business process Management and Automation
  4. Value based care analytics.

 

Write us at sales@faichi.com for more information.

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