Population Health Analytics to Rationalize Service Expansion Grants

Self-service Analytics is very popular with large healthcare networks that manage multiple facilities, handle hundreds of thousands of emergency department (ED) visits and admissions, and employ tens of thousands of personnel. Healthcare networks utilize population self-service analytics, for instance, to gather data related to early warning indicators of possible population health crises, such as the quickly rising rate of mental health issues, etc. 

Using this data, they are able to establish the need for additional resources, for instance, crisis stabilization unit creation, to alleviate the strain on ED services. Organizations highlight securing millions in funding for their initiatives based on these data-supported justifications. What approach do they employ to attain such outcomes? 

If healthcare networks adopt self-service analytics tools, they can get data that validates the need to upgrade or expand healthcare services, enabling them to persuade investors to support their enhancement initiatives. 

However, the lack of appropriate analytical tools prevents healthcare networks from effectively rationalizing their proposals. 

Challenges on the Way to Attract Investor Funding 

Statistics show an increase in the percentage of individuals whose treatment requirements were not addressed. In some cases, for specific health conditions that demand urgent care, the indicators can surpass the national average.
In their attempts to manage the situation, healthcare organizations encounter the following obstacles

• Increasing numbers of people seeking ED assistance for their health crises.
  
• Depleted ED resources, due to numerous patients seeking ED care for urgent conditions and requiring extended treatment times.
  
• Reduced level of care and aftercare support because of lack of resources.
  
• Lack of specialized stabilization units for patients that require urgent assistance as alternatives to limited emergency departments, hospitals, and other facilities.
• Absence of significant capital to expand services.
  
• Deficit high-quality persuasive data on specific population groups, their demographics, and community characteristics to strengthen the argument and secure investment.
  
• The necessity to gather data from a large number of thousands of square miles to illustrate the size of the service area and the number of individuals experiencing sudden health declines who require care.
  
• Restricted time available to prepare the investment proposal or grant application and the need to meet the deadlines.
  
• Challenges with rapid data collection due to unstructured data restricted access to local EHRs, and obsolete methods. 

Features of Self-Service Analytics Tools for Developing Persuasive Investment Proposals 

To secure investment and overhaul the healthcare delivery system, healthcare organizations should prove the necessity for additional medical facilities with convincing data. With the support of self-service analytics, organizations can accomplish the following:

• Employ the ad hoc approach to data analysis to classify population groups without complex SQL coding.
  
• Rapidly deliver the necessary high-quality data visualizations, such as the count of patients dealing with anxiety, depression, or substance abuse who must pass long distances to access the nearest healthcare facility.
  
• Utilize de-identified data and specific population groups across various contexts swiftly and without endangering patient confidentiality.
  
• Visualize emergency department patient arrival patterns, main complaints, and secondary diagnoses, while highlighting the prolonged length of stay (LOS) for patients with specific health conditions. 
• Highlight the voids in specialized healthcare services and the constrained capacities of emergency departments based on the frequency of emergency department visits by patients with specific health emergencies.
  
• Show the number of individuals who could benefit from crisis stabilization services by analyzing ED usage, patient zip codes, and the estimated distance to healthcare facilities. 

What Benefits to Gain from Adopting Self-Service Analytics? 

Self-service analytics tools enable healthcare networks to obtain insights that strengthen their grant application process rapidly.

As reported, analytics deliver the following achievements for them:

• Healthcare organizations can collect and present data that highlights the necessity to expand certain services.
  
• Healthcare networks can secure million-dollar grants for specific health initiatives and facilities.
  
• Healthcare providers can establish additional facilities and specialized units, such as crisis stabilization centers, enabled by these investments.

How a Healthcare Software Development Company Can Provide Support

An outsourcing company like Belitsoft that specializes in healthcare software development assists top healthcare data analytics companies in building robust data operating systems.

For integrated data platforms developed to collect, store, process, and analyze large volumes of data from various sources (Electronic Medical Records, clinic management systems, laboratory systems, financial systems, etc.), the healthcare software development companies:

• Automate data processing workflows (cleansing, standardization, and normalization)
• Configure scalable data warehouses
• Set up and implement analytical tools for creating dashboards, reports, and data visualizations
• Ensure a high level of data security and compliance with healthcare regulations such as HIPAA
• Integrate machine learning and AI into analytics.

They also assist in creating tailored self-service analytics solutions, such as Population Health Analytics, featuring the following capabilities and more:

• Categorizing population groups
  
• Data analysis without SQL coding
  
• Visualization tools. 

If you are looking for expertise in data analytics, data infrastructure, data platforms, HL7 interfaces, workflow engineering, and development within cloud (AWS, Azure, Google Cloud), hybrid, or on-premises environments, a healthcare software development company like Belitsoft also can serve these needs.