Abstract: A cloud-based, query management and education system enables provider organizations to query and educate clinicians on how to clarify clinical documentation, resulting in more accurate reimbursement, public reporting, research and policy decisions. Query authors create compliant queries from stored templates which may be supplemented by attaching and/or annotating selected documentation from the patient record. Clinician responses to such queries automatically generate addenda in the relevant patient record. All events around a query are tracked and reportable through a graphical performance scorecards and reporting dashboards.

Abstract: A cloud-based, query management and education system enables provider organizations to query and educate clinicians on how to clarify clinical documentation, resulting in more accurate reimbursement, public reporting, research and policy decisions. Query authors create compliant queries from stored templates which may be supplemented by attaching and/or annotating selected documentation from the patient record. Clinician responses to such queries automatically generate addenda in the relevant patient record. All events around a query are tracked and reportable through a graphical performance scorecards and reporting dashboards.

Abstract: A cloud-based, query management and education system enables provider organizations to query and educate clinicians on how to clarify clinical documentation, resulting in more accurate reimbursement, public reporting, research and policy decisions. Query authors create compliant queries from stored templates which may be supplemented by attaching and/or annotating selected documentation from the patient record. Clinician responses to such queries automatically generate addenda in the relevant patient record. All events around a query are tracked and reportable through a graphical performance scorecards and reporting dashboards.

Abstract: A cloud-based, query management and education system enables provider organizations to query and educate clinicians on how to clarify clinical documentation, resulting in more accurate reimbursement, public reporting, research and policy decisions. Query authors create compliant queries from stored templates which may be supplemented by attaching and/or annotating selected documentation from the patient record. Clinician responses to such queries automatically generate addenda in the relevant patient record. All events around a query are tracked and reportable through a graphical performance scorecards and reporting dashboards.

Abstract: A cloud-based, query management and education system enables provider organizations to query and educate clinicians on how to clarify clinical documentation, resulting in more accurate reimbursement, public reporting, research and policy decisions. Query authors create compliant queries from stored templates which may be supplemented by attaching and/or annotating selected documentation from the patient record. Clinician responses to such queries automatically generate addenda in the relevant patient record. All events around a query are tracked and reportable through a graphical performance scorecards and reporting dashboards.

Abstract: A medical form is marked by a clinician during a patient/clinician encounter to generate a record with information related to a current complaint. The form is partitioned into several regions related to patient history, examination and medical decision, respectively. The form is automatically analyzed and using the locations of the marks on the form and a predetermined set of rules, a billing code is generated. The billing code determines the fee to be paid to the clinician or health provider.

Abstract: A medical form is marked by a clinician during a patient/clinician encounter to generate a record with information related to a current complaint. The form is partitioned into several regions related to patient history, examination and medical decision, respectively. The form is automatically analyzed and using the locations of the marks on the form and a predetermined set of rules, a billing code is generated. The billing code determines the fee to be paid to the clinician or health provider.

Abstract: A hospital documentation system that allows for the electronic capture of data for patient forms. The electronic forms constitute a medical record for the patient. The record is stored and is available electronically to users throughout the institution, both on site and off site as long as a connection to the institution's network is available. Hospital coders review the documentation concurrent with the patient being within the hospital, and can submit queries to the physician, the results of which are also forms captured electronically within the medical record that may be reviewed by the hospital coders. The medical record is used in addition to other systems by the coders to perform hospital coding on the patient case, and ultimately to generate hospital bills and claims for the patient.

Abstract: A PC tablet or similar device is used to generate a patient diagnosis. A doctor or other health provider writes a diagnosis on the device. A known handwriting algorithm is used to convert the written phrase into a sequence of words. Two lists are also provided, one containing words commonly used in medical diagnoses and the other containing actual diagnoses. The two lists are used to generate a diagnosis which is presented to the provider.

Abstract: A medical form is marked by a clinician during a patient/clinician encounter to generate a record with information related to a current complaint. The form is partitioned into several regions related to patient history, examination and medical decision, respectively. The form is automatically analyzed and using the locations of the marks on the form and a predetermined set of rules, a billing code is generated. The billing code determines the fee to be paid to the clinician or health provider.