Rule Engine: The next leap towards healthcare transformation | Nitor Infotech
Send me Nitor Infotech's Monthly Blog Newsletter!
×
nitor logo
  • Company
    • About
    • Leadership
    • Partnership
  • Resource Hub
  • Blog
  • Contact
nitor logo
Add more content here...
Artificial intelligence Big Data Blockchain and IoT
Business Intelligence Careers Cloud and DevOps
Digital Transformation Healthcare IT Manufacturing
Mobility Product Modernization Software Engineering
Thought Leadership
Aastha Sinha Abhijeet Shah Abhishek Suranglikar
Abhishek Tanwade Abhishek Tiwari Ajinkya Pathak
Amit Pawade Amol Jadhav Ankita Kulkarni
Antara Datta Anup Manekar Ashish Baldota
Chandra Gosetty Chandrakiran Parkar Deep Shikha Bhat
Dr. Girish Shinde Gaurav Mishra Gaurav Rathod
Gautam Patil Harish Singh Chauhan Harshali Chandgadkar
Kapil Joshi Madhavi Pawar Marappa Reddy
Milan Pansuriya Minal Doiphode Mohit Agarwal
Mohit Borse Nalini Vijayraghavan Neha Garg
Nikhil Kulkarni Omkar Ingawale Omkar Kulkarni
Pooja Dhule Pranit Gangurde Prashant Kamble
Prashant Kankokar Priya Patole Rahul Ganorkar
Ramireddy Manohar Ravi Agrawal Robin Pandita
Rohan Chavan Rohini Wwagh Sachin Saini
Sadhana Sharma Sambid Pradhan Sandeep Mali
Sanjeev Fadnavis Saurabh Pimpalkar Sayanti Shrivastava
Shardul Gurjar Shravani Dhavale Shreyash Bhoyar
Shubham Kamble Shubham Muneshwar Shubham Navale
Shweta Chinchore Sidhant Naveria Souvik Adhikary
Sreenivasulu Reddy Sujay Hamane Tejbahadur Singh
Tushar Sangore Vasishtha Ingale Veena Metri
Vidisha Chirmulay Yogesh Kulkarni
Healthcare IT | 31 May 2018 |   8 min

Rule Engine: The next leap towards healthcare transformation

featured image

We clearly discussed in our last blog that the healthcare industry is experiencing a period of unprecedented change. Rising above all the chaos, Rule Engine is trying to bring lasting improvements in healthcare while minimizing expenditure. It might not be immediate, but a Rule Engine can play a pivotal part in improving operational flexibility for organizations. So what exactly is an ideal Rule Engine?

The Ideal Rule Engine

The term Rule Engine may sometimes sound confusing, as it can be any system that uses rules, in any form that can be applied to data to produce outcomes. This includes simple systems like form validation and dynamic expression engines. Many tools and technologies are used when it comes to engineering a rule engine such as Drools, JBoss, jBPM. They use expressions and delegates in its decision nodes, which control the transitions in a Workflow. It becomes confusing as to which rule engine suffices the need of the business.

An ideal Rule Engine should collate data from multiple sources, ensure data quality and allow the user to create a rule as per business needs. Business rule management gives an additional advantage over a general-purpose Rule Engine, as it provides an advantage for the custom rule creation, analysis, data collaboration, multi-facet collaboration, management, visualization of charts and graphs. For instance, what if a rule engine suggests to the user which rules can be created when multiple data sets have collaborated. Does this scenario sound helpful when it comes to regulatory reporting such as MACRA-MIPS and HEDIS reporting?

While a lot of Engines in market claim to be an ideal Rule Engine, following are some important factors that need to be taken into contention by CIO’s.

Factors to consider when selecting a rule-engine

Some of the very popular Rule Engines in the healthcare IT world does not provide flexibility to create own rules easily, and visualization has its own limitations as it is not in the user’s control. It also lacks the recommendation or suggestion part wherein a user can know which of the rules are feasible at the time of creation.

Important factors influencing CIO’s decision to choose a rule engine depends on how fast a rule engine can adopt to the existing workflow. An ideal Rule Engine allows to collate data from multiple sources, provides flexibility to create own customized rules.

You should explore the following capabilities in particular:

  • Is it easy for non-technical users to author rules?
  • Can authors use tools in collaboration with each other, or do they each have to work separately using their own individual tools?
  • Does it suggest what rules can be applied and does it provide visualization as per the choice of the user?
  • Can the engine quickly determine which rules or rulesets to apply based on the nature of the data?
  • How well the Rule Engine works when it comes to the data security?

The most important point to keep in mind – no single rule engine allows regulatory reporting and helps create rules of choice as per business need. It means that organization must have more than one Rule Engine and should keep different workflows in mind. Performance is also a big issue in some of the popular rule engine since it does not foresee that data could become so large.

What if we told you that there is an ideal rule engine that can take care of regulatory reporting and custom rule creation. In addition, it can take care of data collaboration from multiple sources, data security and ensure that performance is not hampered at any given time.

In future, technologies such as machine learning, artificial intelligence (AI) & robotic process automation will play an important role in Rule Engine – as it evolves from the current state. Furthermore, workflows will become more automated with minimum manual intervention. Nitor Infotech’s futuristic Rule Engine known as Health Pivot is one of the forerunners in applying AI-ML & RPA based concepts.

Health Pivot is a new generation ideal rule engine framework – which gives flexibility even for a non-technical person to create own rules and has the pre-defined rule to choose from a list of for regulatory reporting. It can easily collate data from multiple sources and ensure data quality as well.

In our next blog, we will discuss Health Pivot in detail, till the time stay tuned.

Do reach out to us to learn more about our services.

Related Topics

Artificial intelligence

Big Data

Blockchain and IoT

Business Intelligence

Careers

Cloud and DevOps

Digital Transformation

Healthcare IT

Manufacturing

Mobility

Product Modernization

Software Engineering

Thought Leadership

<< Previous Blog fav Next Blog >>
author image

Ravi Agrawal

Manager - Healthcare Practice

A self-confessed healthcare warrior, an expert in Medicare, Medicaid, ACO, and Integration projects, Ravi speaks HL7 as a language. A doctor, doubling up as a Healthcare consultant, he is always a ‘patient’ person (pun intended) with a business mind. He says that technology never ceases to amaze him, and he is a student forever.

   

You may also like

featured image

10 Heuristic Principles in UX Engineering

Say, you’ve built a modern, cutting-edge application. It has a complex, multi-layered user interface (UI), that is the basis for some amazing features. Since you’re the one who has built the applic...
Read Blog


featured image

ETL Testing: A Detailed Guide

Just in case the term is new to you, ETL is defined from data warehousing and stands for Extract-Transform-Load. It covers the process of how the data is loaded from the multiple source system to t...
Read Blog


featured image

Getting Started with ArcGIS Online

GeoServer is an open-source server that facilitates the sharing, processing and editing of geospatial data. When we are dealing with a large set of geospatial d...
Read Blog


subscribe

Subscribe to our fortnightly newsletter!

We'll keep you in the loop with everything that's trending in the tech world.

Services

    Modern Software Engineering


  • Idea to MVP
  • Quality Engineering
  • Product Engineering
  • Product Modernization
  • Reliability Engineering
  • Product Maintenance

    Enterprise Solution Engineering


  • Idea to MVP
  • Strategy & Consulting
  • Enterprise Architecture & Digital Platforms
  • Solution Engineering
  • Enterprise Cognition Engineering

    Digital Experience Engineering


  • UX Engineering
  • Content Engineering
  • Peer Product Management
  • RaaS
  • Mobility Engineering

    Technology Engineering


  • Cloud Engineering
  • Cognitive Engineering
  • Blockchain Engineering
  • Data Engineering
  • IoT Engineering

    Industries


  • Healthcare
  • Retail
  • Manufacturing
  • BFSI
  • Supply Chain

    Company


  • About
  • Leadership
  • Partnership
  • Contact Us

    Resource Hub


  • White papers
  • Brochures
  • Case studies
  • Datasheet

    Explore More


  • Blog
  • Career
  • Events
  • Press Releases
  • QnA

About


With more than 16 years of experience in handling multiple technology projects across industries, Nitor Infotech has gained strong expertise in areas of technology consulting, solutioning, and product engineering. With a team of 700+ technology experts, we help leading ISVs and Enterprises with modern-day products and top-notch services through our tech-driven approach. Digitization being our key strategy, we digitally assess their operational capabilities in order to achieve our customer's end- goals.

Get in Touch


  • +1 (224) 265-7110
  • marketing@nitorinfotech.com

We are Social 24/7


© 2023 Nitor Infotech All rights reserved

  • Terms of Usage
  • Privacy Policy
  • Cookie Policy
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it. Accept Cookie policy