Invented by Oliver E. Bent, Sally Simone Fobi Nsutezo, Antoine Nzeyimana, Meenal Pore, Katherine Tryon, Aisha Walcott, International Business Machines Corp
The International Business Machines Corp invention works as followsSystems and Methods are Provided for Collaborative Decision-Making in Medicine.” The systems can use a distributed record keeping and verification system to solicit suggestions from interested healthcare workers for modifications to a initial healthcare regime. The systems can aggregate all suggested modifications, and then use a consensus algorithm in order to determine which modification is most appropriate.
Background for Multi-agent consensus resolution and replanning
In embodiments, the technical area of the invention is systems and methods for collaborative decision making in medicine.
In modern medicine, interactions are primarily between three parties: the patient, the healthcare worker, and the electronic medical record platform. The patient’s goal is to receive a medical service from the health worker or advice on how to address or avoid a current or potential medical issue. The health worker’s goal is to accurately assess the patient’s needs and provide the appropriate service or advice. The platform’s purpose is to give the health worker a patient’s medical history and to keep records of their interaction for future use. “Often, a patient-health worker interaction results in a treatment regimen that is stored and communicated digitally.
Determining a treatment regimen is not the end of the procedure. In some cases, the patient or health care worker will want to get a second opinion. A review of the original prescribed treatment regimen is often desirable from a policy standpoint, as it can result in a better treatment regime, and also spread information among the medical community. In regions with limited resources (e.g. parts of developing countries, etc.), such a review is often desirable. It could result in an improved treatment regime and also serve to spread information within the medical community. This process is hampered by a number of challenges in resource-constrained regions (e.g., parts of the developing world). In resource-constrained areas, for example, it is difficult to obtain a second medical opinion due to the high costs, lack of diversity among local health professionals and inability to communicate with experts from outside. Health workers who have only a basic level of medical training and knowledge (such as those in resource-constrained areas) may need additional support to prescribe and refine treatment regimens. This is because they lack in-depth knowledge about treating diseases and other medical issues. The lack of medical records and the tracking of interventions by health workers may also hinder these goals’ achievement, particularly in resource-constrained areas.
For at least the reasons above, an improved system to obtain input and consensus regarding medical treatment regimens is desirable.
In some aspects, the invention can be described as a system for obtaining and revising medical opinions in a particular health situation. The system manages and records feedback from health professionals. The system crawls existing guidelines or medical journals to extract pertinent information. The system flags medical doctors in the network who are suitable for a second opinion. The choice of doctor is determined by
Patient Preferences: (e.g. Doctors in the patient’s network); Expertise; Experience (e.g. number of years of practice and seniority); and Efficacy (e.g. doctor’s past success rate at achieving goals through recommendations, e.g. hypertension management). The system aggregates second opinions, resolves the responses, and takes an improvement action (e.g. “Proposing a new treatment regime.
In one aspect, there is a system and method for resolving differences among experts regarding a medication regimen. This allows for consensus resolution and replanning the medication regime. The method involves optimizing the doctors’ consensus regarding a medication regimen.
In one embodiment, “a method for optimizing a health regime” comprises: receiving by a first device a medical regime including a set healthcare tokens representing a set healthcare actions for a patient, with each of these In embodiments:
Transmitting the healthcare regime to a plurality of devices via a distributed networking is what causes the healthcare blockchain to update with the healthcare regimen block;
The healthcare regime block is a function at least of the parameters listed above (i.e. the set of tokens for healthcare, the digital signature and the historical block identification);
The modified healthcare regime block is calculated based on at least these parameters (i.e. the at least proposed modified healthcare tokens, the digital signature of an authorized healthcare worker and the preference factor);
further consists of receiving a number of proposed modified health care tokens, where the number of proposed modified health care tokens represents a variety of modified proposed healthcare action pertaining to the Healthcare regime;
further including: receiving a number of proposed modified healthcare tokens; the plurality representing a variety of modified proposed actions for the healthcare system; calculating a number of modified health care regime blocks for the system, one for each of the multiple proposed modified tokens; and updating the healthcare blockchain with the plurality modified health care regime blocks
further including applying a consensus algorithms to select the most effective modified health regime block out of the plurality;
Further including automatically generating a Message containing a Prescription for a Medication, the medication being based on selected most effective modified Healthcare Regime Block, and transmitting that message to an associated user account with the authoring health care worker for their approval, wherein the approval by the originating healthcare worker automatically transmits a prescription to a prescribing system.
further including automatically generating a messaging comprising a health action based on a selected most effective modified healthcare system block and transmitting the messages via a distributed networks to a patient’s account associated with the user of healthcare;
Further including obtaining a consensus token indicative of the optimization of the healthcare action and based on a set of healthcare tokens
wherein the preferred factor includes an experience factor. The experience factor is calculated as a result of at least one parameter: the experience of the healthcare worker authorized, his/her area of expertise, and the success rate of that healthcare worker authorized;
The preference factor is a compliance factor derived from historical aggregated patient compliance data for at least one modified healthcare action proposed;
The healthcare blockchain also comprises a public-key associated with the authoring health worker, which is operative to allow each device within the plurality networked devices in order to verify the authenticity of the block of healthcare regime;
The healthcare blockchain also comprises a public-key associated with the authorized health worker, which is operative for each device within the plurality networked devices in order to verify the authenticity of the modified block of healthcare regime;
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