Abstract: Systems and methods are disclosed for managing and storing electronic health records data. In an embodiment, a database module containing a plurality of databases stores a plurality of different types of patient medical data records. Each patient medical data record is composed of one or more categories of data which may be stored in different databases. A server module configured to respond to requests received from a client is connected to the database module. The server module includes a layer of application logic, a layer of composite services, a layer of domain services, and a layer of foundation services. A request received by the server module is first processed by the application logic, then by the appropriate composite services, domain services and foundation services. Domain services may communicate with the database module, generating a response that may be processed by the composite and application logic layers before sending back to the client.

Abstract: Embodiments include an offline application, encrypted patient medical data records, and an encryption key that are stored in a cache of a browser application on the local computing device when a network connection is available. The offline application is accessed when the network connection is subsequently lost. Embodiments allow the user to access decrypted patient medical data records stored in the browser application cache, as well as create and access new patient medical data records when a network connection is offline. Any access to a patient medical data record when the network connection is offline may be documented in an offline-access record, an audit record that satisfies HIPAA Security Rule restrictions, that is created and encrypted. When a network connection becomes available, corresponding patient medical data records in the EHR system are updated or created according to the offline-access record and/or an offline-updated patient medical data record.

Abstract: In an embodiment, a computer-implemented method predicts a related symptom. In the method, the EHR system determines a plurality of mapping entries to build a predictive model. Each mapping entry specifies a correlation between a first symptom and a second symptom in at least one patient encounter note. After building the predictive model, the EHR system receives a reported symptom. Then, the EHR system selects which of the plurality of mapping entries corresponds to the reported symptom to generate a related symptom. The selected mapping entry correlates the related symptom with the reported symptom.

Abstract: In an embodiment, a computer-implemented method presents a physician-related medical application marketplace. In the method, a plurality of medical applications are activated in the EHR system. Then, a request for browsing the medical application marketplace is received. Based on medical information describing practice of the physician and feature information associated with the plurality of medical applications, the EHR system filters the plurality of medical applications to generate a recommended list of medical applications. Finally, the recommended list of medical applications is output to a device for display to the physician.

Abstract: In an embodiment, a computer-implemented method presents a patient-related medical application marketplace. In the method, a plurality of medical applications are activated in an EHR system. Then, a request for browsing the medical application marketplace is received. Based on medical information describing health of the patient and feature information associated with the plurality of medical applications, the EHR system filters the plurality of medical applications to generate a recommended list of medical applications. Finally, the recommended list of medical applications is output to a device for display to the patient.

Abstract: In an embodiment, a computer-implemented method helps a physician prescribe a medical application to a patient. In the method, a plurality of medical applications are activated in an EHR system. Then, a request to retrieve medical applications for an encounter between the physician and the patient is received. Based on the medical information describing the encounter and feature information associated with the respective medical application, the EHR system filters the plurality of medical applications to generate a suggested list of medical applications. Finally, the suggested list of medical applications is output to a device for display.

Abstract: In an embodiment, a computer-implemented method integrates a healthcare provider with a medical lab. In the method, the EHR system validates the medical lab to ensure that the medical lab is able to communicate with the EHR system in a format the EHR system understands. After the EHR system validates the medical lab, the EHR system receives, from the healthcare provider, a lab sign up request for connecting the healthcare provider to the medical lab. In response to receipt of the lab sign up request from the healthcare provider, the EHR system binds the healthcare provider and the medical lab via the EHR system. Then, the healthcare provider can order a lab test for a patient of the healthcare provider to the medical lab.

Abstract: Embodiments relate to integrating data collection and productivity applications with an EHR system. To integrate a patient's data collection application with the EHR system, an EHR server provides API calls to (i) retrieve patient information, (ii) post data to the patient's account, and (iii) post data to the medical professional's account. To integrate a medical professional's productivity application with the EHR system, an EHR server provides API calls to (i) retrieve practice information, (ii) retrieve patient information, and (iii) post data to the medical professional's account. Embodiments securely provide these APIs to third party providers.

Abstract: In an embodiment, a computer-implemented method presents medical data. In the method, a request for medical data related to a patient is received. Then, data records in a medical records database that relate to the patient are identified. The medical records database includes a plurality of different types of medical data records, and each data record is associated with a corresponding time. According to the data records' corresponding time, the identified data records are temporally ordered to generate a timeline. Finally, the timeline is output to a device for display, such that the displayed timeline presents the plurality of different types of data records related to the patient together in a single temporal view.

Abstract: A health care practice management system is used to store, update and access data regarding patients of practitioners such as doctors and staff. The health care practice management system provides access to collections of data for research by data miners based on such aspects as type of patient condition, patient class, or type of patient treatment. The health care practice management system also provides a vehicle to message targeted groups of individuals, namely, practitioners, patients, and miners of the practice data. The health care practice management system can be distributed to users through a reduced cost arrangement that is support through contributions from third parties by sponsoring messages to be displayed through the system to users.