Four ways to Utilize Digital Technology to help the health workers for taking better decisions

The management of patient traffic, staffing, timetabling, and supply chain management is the biggest huddle for the hospital mangers and the digital technology will be the biggest mentor to them . Consequently, it can lead to improved quality and efficiency in care provision, in addition to increasing patients’ access to it.

People usually concentrate on the concept of using analytics to better clinical decision-making when they contemplate digital transformation in healthcare. Nevertheless, it would be wrong to solely stress on employing digital transformation to enhance clinical decision-making. According to recent research on how hospitals are utilizing data and technology, we assume that digital transformation has a great influence in optimizing hospitals’ operational decision-making, which can result in an improvement in the quality, efficiency of care and patients’ access.

Hospitals can use digital transformation to enhance their decision-making procedures in four essential areas: The flow of patients, staff allocation, timetable organization, and inventory control.

Figure showing :- patient flow ,staffing ,scheduling and supply chain management dashboards

 When we  talk of the patient flow Medical facilities are attempting to guarantee that the correct treatment is being provided to the correct patient at the appropriate moment. To do this, care providers must successfully assess the patient’s requirements and administer hospital resources correctly. Even though providers are well-versed in the former, they typically do not receive training for the latter, making it an arduous task – particularly given the pressure on hospital resources that has become the norm amid the ongoing pandemic.

At the healthcare facility, analytical decision-assistance systems can give helpful information to underpin these choices of sorting, admission and release. For instance, when a person comes in and the physician is doubtful whether the patient should be guided to the ICU or regular ward, a decision-support procedure can give advice based on the supposed advantage of ICU admission for that certain individual.

When it comes to handling capacity i.e Staffing , digital solutions can be of help. Take nurse staffing, which is a major expense for hospitals, as an example. Rather than relying on phone calls, SMS, and worksheets to make decisions that frequently alter at the eleventh hour, charge nurses and hospital supervisors can use analytics to improve the process.

As an illustration, algorithms are capable of forecasting nurse absenteeism percentages and the necessity for extra staffing to pre-emptively ascertain the correct amount of float nurses to call in. Research in emergency department management has demonstrated that both of these can be reproduced, even in scenarios where demand is highly unpredictable. A major advantage is the ability of these systems to anticipate and react rapidly, which in turn can enhance the dependability and predictability of the shift plan for nurses. This element is expected to be significant in hospitals and other healthcare service organizations.

 Though many medical facilities have started utilizing digital technology to collect and manage their patients’ documents, the scheduling of resources is still largely done by hand. This relates to booking surgical operations in operating rooms, radiology tests in suites, and several others. This is a different area wherein digital technology can bring about huge enhancements — not only by forecasting resource requirements and easily adjusting for unanticipated changes and cancellations but also by optimizing plans according to the most current data.

For example, machine-learning methods can be utilized to more accurately predict the time of each procedure such as the duration of a surgery or an MRI scan.

The amount of time required for a procedure to be completed is determined by the patient’s characteristics, their particular medical needs, and various operational details. Research has indicated that the length of a surgical procedure may be extended due to a larger team, a higher amount of work, and the order of the surgery in the operating room. Computers can consider these operational factors to generate predictions more accurately than humans.

 In 2018, the average cost of medical and surgical supplies in the United States was $11.9 million per hospital, which made up to 1/3 of certain facilities’ operational expenses. Nevertheless, many hospitals do not take improving their supply chain Management  and inventory control very seriously, as they tend to concentrate more on the activities that directly involve the patients. Still, adequate supplies are crucial when it comes to providing quality care.

Several sectors have discovered that digitizing their supply chain leads to a 50% decrease in fees and a 20% increase in income; hospitals have experienced the same. Automating the gathering of information, purchasing, balancing and paying for medical, surgical and pharmaceutical materials can help hospitals to reduce costs connected to supply chain and inventory management. In light of the Covid-19 pandemic, it is increasingly important to have the capacity to respond quickly and be resilient to sudden changes in demand or supply and hospital executives are looking for ways to make use of information and technology to gain insights into their stock, prices, delivery times and demand trends.

Radio-frequency identification (RFID) and internet-connected trackers can be employed to precisely monitor and find supplies at present. Consolidating and synchronizing supplies across various divisions in a medical centre can drastically decrease the degree of stock necessary to reach a specified level of service. Even though physical centralization is an option to accomplish this, information centralization, which can be easily accomplished with a digitized supply-chain-management system, could be enough to obtain the same gain.

Manorama Infosolutions is engaged in the digital transformation of hospitals and has had a pronounced impact on hospitals’ operations, optimizing decisions. Our solutions have had a considerable effect on enhancing hospitals’ Administrative Choices, producing noteworthy results on a global scale in terms of improving the standard of care, efficiency and patient access.