A recent study pointed out that on an average 3.5 clinical encounters are recorded per patient per Year in United States and number of such encounters are equally same for employees when its comes to their annual medical examinations, vaccination programmes or even adhoc medical check-ups. Understanding employee health impacts on productivity has increased over years and now more and more studies shows the evidence of linking financial costs to employee health risks. There are generally three dimensions to any health management which include Analytics, Workflow applications and data portability. In this blog I am trying to address how these different needs are managed using Occupational Health management in Software perspective.

Digital Health has been the most exciting thing happening around us right from use of analytics to understand the disease pattern to early detection using image classification or even examination data to more complex identification of subjects for clinical trails to rapid drug deliveries and as simple as stock checking of important medicines. However, in case of occupational health risk assessments will help identifying the health risk profiles against which improvements can be tracked. These include views and management of all health data in a single place, Real time streaming of workers data for critical activities stage or Text processing for integrated text analysis. There are numerous integrations which are needed to be managed for occupational health which include EMR management, Health Information Analytics, Financial Data integration, Claims data, billing, data exchange to even bench marking studies and patient satisfaction surveys.

view of clinic
Photo by Daniel Frank on Pexels.com

There are various maturity levels when it comes to managing the medical data in Industries like compilation of manual data, using ERP tools to store the information or even using sophisticated platforms like Health Catalyst to understand the data informed health care improvements.

There are various ERP vendors in the market which offer solutions like SAP offers product assistance for SAP EHS Management for S/4 HANA, Occupational Health to support employee occupational health in an organization and other one being the Cority (Medgate) system. These are used to carry out various checks like scheduling medical examinations, Medical history, Vaccinations / Immunization, Chest X Ray, Vision data entry and other categories of data including Drug database and ePrescription which is offered by Cority – Occupational Health.

As in case of SAP the process starts with defining necessary health surveillance protocols and assigning persons to protocols manually, conducting examinations using medical services and creating reports and use of analytics and workflows for automatic scheduling and appointment notifications. When it is integrated with risk assessment module it can trigger based on Occupational Exposure Limits.

When such data is compiled and use in conjunction with analytics it can derive very good preventive measures. Using employee medical data and Jobs to be taken up can help in formulating the necessary mitigation steps which avoid critical injuries like risk borne people to injury prone areas or high dust areas for people suffering from Asthmatic problems, diabetic or hypertension problems so on.

Every year many organizations carry out annual employee health check up and other adhoc check as needed to see that employees are safe and even to eliminate litigation potential arising from occupational activities. It is an opportunity for organizations to invest in this huge data source to better manage chemical impacts or job effects on employees. Proper collection of such information together with detailed Job data and Medical examination information will provide a very good insights about the employee well being and will help organizations a lot. When these measurements are coupled with Worker safety devices or person monitors for health data collections, it can improve the health of the employees help reduction of events.

Analysing medical data is not without litigation in many countries but given the proper data sensitiveness agreements and compiling the information and working with analytics will help organization in reducing occupational health expenditures and improve worker health and successful employee engagement.

Thanks

Jayakumar

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